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Think you need 10,000 steps a day? Science says otherwise
Granted, we typically recite the 10,000-step goal as if it is gospel, but whether you're clocking up the miles on your commute to work or walking around in circles in the kitchen last thing at night, the truth of the matter is, you might already be walking enough.
Stop trying to maintain constant productivity: How you cope with stress changes with the seasons and your biological clock
Though you may expect your productivity and mood to remain constant regardless of context, these rhythms affect your ability to deal with the stressors in your life: parenting, health concerns, work deadlines and even inconveniences such as traffic jams.
Business News September 2026
• Fall at the Farmers Market • The Fraud Clock is Ticking • Remodel to achieve your Forever Home • Roger, the Computer Guy! • Cornell Farm’s Century Farm Celebration • Grand Opening Celebration at OR Credit Union • The Confidence Within: an educational pelvic wellness experience • Back-to-School Dinner Dilemma, Solved
Former Broncos Starting Quarterback Cut By Giants as Clock Ticks
Former Denver Broncos quarterback Brandon Allen is back on the market following the latest roster moves around the NFL. The post Former Broncos Starting Quarterback Cut By Giants as Clock Ticks appeared first on HEAVY.
NVIDIA Shuts Down RTX 5000 Power Limit Control OC in Latest Driver Update
We recently reported on the open-source overclocking tool, mVolt+, unlocking power limit control on NVIDIA GeForce RTX 5000-series GPUs, allowing certain GPUs, like the RTX 5090, to draw up to 125 W of additional power and enabling significantly higher core clock speeds as a result. With the...
Hughes due extension after Makar signs record-breaking deal
The Minnesota Wild’s clock is ticking to get defenseman Quinn Hughes signed after seeing Colorado Avalanche defenseman Cale Makar get a contract extension today. Makar signed a historic 8-year deal worth $163.4 million, which makes him the highest-paid player in NHL history. He’s the first NHL skater to be making over $20 million as an […] The post Hughes due extension after Makar signs record-breaking deal appeared first on HEAVY.
Vikings Hit With Major Surprise in ESPN’s Latest Mock Draft
Mock draft season is in full swing for 2027, and the Minnesota Vikings will be on the clock. ESPN’s Jordan Reid has the Vikings selecting tight end Trey’Dez Green out of LSU.This is the second mock draft in a little less than a month that has the Vikings selecting a tight end. Bleacher Report mocked […] The post Vikings Hit With Major Surprise in ESPN’s Latest Mock Draft appeared first on HEAVY.
UConn Football: Clock Ticking on Starting QB Selection
The 2026 season starts Sept. 5 in a home game against Lafayette,
Penguins Legend’s Production Question Mark Surfaced by NHL
The Pittsburgh Penguins watched their longtime star Evgeni Malkin turn back the clock last season.Now comes the challenge of doing it again at 40.NHL.com identified Malkin’s ability to sustain his production as one of the three major questions facing Pittsburgh heading into the 2026-27 campaign.Malkin signed a one-year, $5.5 million contract in May, giving him […] The post Penguins Legend’s Production Question Mark Surfaced by NHL appeared first on HEAVY.
Northeast Ohio clock repair business owner accused of scamming multiple customers pleads guilty
The owner of a local clock repair business, pleaded guilty Monday, the day his trial was scheduled to start in Cuyahoga County Court of Common Pleas.
Too much or too little sleep may make your body age faster
Both too little and too much sleep may be linked to faster aging throughout the body. Researchers analyzing 23 biological aging clocks found the lowest aging levels among people sleeping about 6.4 to 7.8 hours per day. Short or long sleep was also associated with numerous conditions affecting the brain, heart, lungs, metabolism, and digestive system.
Flyers Prospect's Clock Officially Ticking, Starting with New Contract Extension
Canada battles the clock, politics in scramble to avert Trump’s tariffs
Canadian officials are making a last-ditch effort to negotiate a reprieve from 50-percent tariffs.
The hidden politics of time: How clocks, calendars — and now-contentious time zones
NEW YORK (AP) — It flies. It heals all wounds. It can be of the essence, and it can be money. We thrill in the best of it, lament the worst. We’re warned not to waste it, since we can’t turn it back — even as we try to make up for when it’s lost. […]
Reporter's Notebook: Daylight saving time fight puts Senate up against a ticking clock
Trump urged Republican senators to release holds on the Sunshine Protection Act, but lawmakers from northern states raise concerns about dark mornings.
The hidden politics of time: How clocks, calendars — and now-contentious time zones
Experts explore how the social and political construction of time has evolved from ancient natural rhythms to modern standardized systems like time zones and daylight saving time.
Caltech breakthrough brings fiber-optic performance to silicon chips
Caltech scientists have created ultra-low-loss optical pathways on silicon chips that approach the efficiency of fiber optics and dramatically outperform existing technology at visible wavelengths. The breakthrough could unlock more powerful lasers, miniature atomic sensors and clocks, quantum systems, and more energy-efficient data centers.
9 simple, science-backed changes that can reverse your biological age
Science says it’s time to rethink – and take control – of ageing. Here’s how to slow, halt and potentially turn back your biological clock
Post-game live reaction: Seahawks vs Cowboys Preseason Game 1
The Seattle Seahawks marched down the field with Drew Lock at the helm, aided by two big penalties on the Dallas Cowboys, before punching it in for a 7-0 to kick off the game. After taking more than seven minutes off the clock, wide receiver Montorie Foster Jr. scored the first touchdown of the preseason […]
UMW Expands Mental Health Resources for Students With 24/7 Crisis Support Line
byThe University of Mary Washington is expanding access to mental health support for students through TimelyCare’s CrisisNow service, providing immediate, around-the-clock access to trained mental health professionals during moments of crisis. This additional service adds a direct phone line through UMW’s Talley Center for Counseling Services, available anytime, including outside of traditional business hours. “We want […]
The hidden politics of time: How clocks, calendars — and now-contentious time zones
It flies. It heals all wounds. It can be of the essence, and it can be money. We thrill in the best of it, lament the worst. We’re warned not to waste it, since we can’t turn it back — even as we try to make up for when it’s lost.
Beat the clock: The politics of daylight saving time in New Hampshire
The perennial debate over daylight saving time in the U.S. is coming around again, but for one New Hampshire state representative, it's never gone away.
A New Study Shows 4 Weeks on This Diet Can Start Turning Back Your Biological Clock
Think eating healthier just isn’t worth the effort? This study showing improving your diet slows aging in just a month may change your mind.
The hidden politics of time: How clocks, calendars — and now-contentious time zones
Time is a concept that varies across cultures and history
The hidden politics of time: How clocks, calendars — and now-contentious time zones
NEW YORK (AP) — It flies. It heals all wounds. It can be of the essence, and it can be money. We thrill in the best of it, lament the worst. We're warned not to waste it, since we can't turn it back — even as we try to make up for when it's lost.
How do we decide what time it is? On the politics of clocks, calendars
Time is a concept that varies across cultures and history. While we often think of it as universal, timekeeping has been shaped by politics, religion, and economics.
The hidden politics of time: How clocks, calendars — and now-contentious time zones
NEW YORK (AP) — It flies. It heals all wounds. It can be of the essence, and it can be money. We thrill in the best of it, lament the
The hidden politics of time: How clocks, calendars — and now-contentious time zones
NEW YORK (AP) — It flies. It heals all wounds. It can be of the essence, and it can be money. We thrill in the best of it, lament the worst. We’re warned not to waste it, since we can’t turn it back — even as we try to make up for when it’s lost. […]
UT Health San Antonio study reveals how the liver’s internal clock may influence metabolism
Contact: Eileen Teves, 210-450-7239, tevese@uthscsa.edu Content provided by Claire Kowalick SAN ANTONIO, Aug. 12, 2026 — What if one of the keys to a healthier metabolism is understanding how and when the liver communicates with the rest of the body? Researchers at UT Health San Antonio, the academic health center of The University of Texas at […]
The Science of “Ramping Up”: Why Aaron Glenn Playing Starters is a Calculated Risk Worth Taking
For years, the conventional wisdom in NFL training camps was simple: wrap the starters in bubble wrap, hold them out of preseason games, save them for Week 1. And every September, like clockwork, the league watches soft-tissue injuries pile up anyway – hamstrings, calves, Achilles, all the non contact stuff that has nothing to do […]
Under 500 Employees, Over $500 billion: Small Business Payroll Taxes
Small businesses, those with fewer than 500 employees, are a pillar in the U.S. economy and account for a large share of federal payroll tax revenues. These taxes are paid by both the employer and employee and are primarily used to fund the Social Se
Steam reportedly refunds Battlefield 6 player with 470 hours logged after EA quietly pulled Rush mode from Quickplay
A Battlefield 6 player "upset" at the removal of the popular Rush mode claims to have secured a full refund from Steam despite having clocked up 470 hours.
Why a new federal definition of hemp has a Vermont industry holding its breath
“The clock is running out,” said one CBD vendor. “It's so hard to plan and make any kind of business decisions with all this uncertainty.”
Protect College Sports Act fails to pass Senate before recess
The Protect College Sports Act has lost the latest game of beat the clock.
Ted Cruz’s college sports bill on brink of U.S. Senate vote
The Protect College Sports Act gained a burst of momentum with last week’s support from the SEC and Big Ten, but the clocking is ticking as the Senate prepares to leave town.
iOS 27's New Compact Clock Gives Your Wallpaper Room to Breathe
In iOS 26, Apple let you stretch the Lock Screen clock down your iPhone's display until it dwarfed everything else. In iOS 27, Apple has a new clock option that does the opposite, with the introduction of a compact mode that shrinks the time to roughly the size of the date and tucks it into the row at the top of the screen. The result is a Lock Screen that genuinely shows off your wallpaper, while still displaying the time and date.
Google working on AI-generated lockscreen clocks for Pixel
Besides customizable Quick Settings, Android Canary 2608 reveals work on AI-generated lockscreen clocks for Pixel phones.
iOS 27 adds four new ways to customize your iPhone’s Lock Screen
iOS 27 adds four new Lock Screen customization options, including AI wallpapers and a movable clock. Here's how they work.
Last chance! Samsung's Galaxy Z Fold 8 preorder deal could get you the foldable for as little as $699.99, but you're running out of time
The clock is ticking on this early Galaxy Z Fold 8 deal.
24/7 behavioral health walk-in center opens in Colorado mountain county
A new resource is available around the clock in Summit County for anyone who needs immediate help.
Google may start Pixel 11 pre-orders way sooner than expected
Countdown clocks have started for the Pixel 11 series on the Google Store and Best Buy. The clocks suggest pre-orders will start early.
Linux 7.2-rc6 Released: "This RC Is Huge"
Like clockwork, the Linux 7.2-rc6 kernel is now available for testing in working toward the stable Linux 7.2 kernel in hopefully two week's time.
Business journalism studies took her to the White House | UNC Hussman School of Journalism and Media
The story by UNC Hussman alumni Brennan Doherty ’19 and video by John Roberts ’16 (M.A.) was originally published on unc.edu. This story is part of a four-part series on Carolina alumni working in Washington, D.C. Soon after her 2015 graduation from UNC-Chapel Hill, Megan Cassella was an intern for the Reuters news agency, eagerly awaiting and prepping for a special assignment. “Every now and then they needed an intern to run over to the White House last minute,” Cassella said. “You have to send your information the night before, so I started proactively sending my information to the White House every single night to be able to go the next day if they ever needed an intern.” Since then, she’s made many return trips to 1600 Pennsylvania Ave. in a career that’s included roles at Reuters, Politico, Barron’s and now CNBC, where she works as an on-air Washington correspondent. A longtime newswriter, Cassella made the move to TV in 2024, appearing on broadcasts multiple times daily to report on the biggest political and business stories. But the keys to doing a good job — knowing how to research, asking insightful questions, building relationships and explaining complex topics to a broad audience — remain the same. Did you know: Outside of the state of North Carolina, the Washington region is home to the largest concentration of Tar Heel alumni in the country. Cassella’s time as a Tar Heel was crucial in sharpening those skills, both in the UNC Hussman School of Journalism and Media and through roles at student-run publications like The Daily Tar Heel. She excelled in Carolina’s business journalism program with former professor Chris Roush, which led to an internship at The Charlotte Observer and helped Cassella find her journalistic niche. A data journalism course with Associate Professor Ryan Thornburg taught her how to find stories in numbers, and former professor Paul O’Connor’s reporting class took Cassella to the North Carolina Capitol weekly, where she gained invaluable experience interviewing politicians. “Those hands-on experiences that Carolina gave me really kept my interest and have really benefited me since I’ve been up here in D.C.,” said Cassella. “I have UNC to thank for the fact that I even went into business journalism in the first place.” Megan Cassella ’15 “You’ve got to thrive on adrenaline in this job. You’ve got to do well with last-minute changes, with running by the seat of your pants.” Megan Cassella ’15 ‘There’s nothing else like it’ In recent months, Cassella has reported live from the G7 Summit in Geneva, covered the latest developments in the U.S.-Iran war and followed changes to trade policy, including tariffs. “Anything in this realm that influences Wall Street, I’ll be covering,” Cassella said. Her working hours are long and variable. After waking up, Cassella immediately checks her phone to see what news broke overnight. By 8:15 a.m., she usually learns which newscasts she’ll be on, and then she heads to the newsroom, White House or wherever her assignment is. “We want you in the 9 a.m. show and the 11, and then the 3 o’clock show wants you, too,” Cassella said, referring to a hypothetical day. If Cassella gets an exclusive or major news breaks, she might be told, “We want that on TV right now.” Within five minutes, she’d be expected to get to the camera, figure out what to say and deliver the news to a live audience. “It’s exciting. It’s nerve-wracking,” Cassella said. “But there’s nothing else like it.” A well-rounded education Cassella grew up in Maryland, the youngest of four kids. Her oldest brother, Brian Cassella ’05, attended Carolina, became a photojournalist and recently won a Pulitzer Prize. She remembers visiting campus as a young child and loving it. “I just always wanted to go,” she said, and that desire grew when she, like her brother, gravitated toward journalism. But it wasn’t just the journalism school that drew Cassella to Carolina. “It was also the whole liberal arts curriculum,” she said. “Even though I always wanted to be a journalist, I got to college, and I sort of felt I had to think about other things. I had to explore my options and see if that’s what I really wanted.” Did you know: In April UNC-Chapel Hill opened its Carolina in the Capital office in Washington. She combined her journalism schooling with a global studies major and a history minor. That broad range of academic experiences in Chapel Hill molded her, preparing Cassella for a career that’s taken her to the highest levels of political journalism and inside the Oval Office. “When you sit back and remember you’re actually sitting inside the White House and asking questions of the president, it’s a cool feeling,” Cassella said. “No matter who is in office, no matter what administration or party, it’s a privilege to be there.” Megan Cassella on… Being a Tar Heel in Washington: I run into Tar Heels all the time. My husband’s a Tar Heel. We actually met here in Washington, not at Carolina, even though we were the same class. Probably most of our friends are still Tar Heels. Even up here in D.C., we all get together for games and March Madness. And through work, there’s Tar Heels all over the place. It’s often used as a connection. Favorite Franklin Street spot: When we go back, our first stop is always IP3. That’s more my husband’s doing than mine. In college, I was a huge Spanky’s fan. Felt like it was a classic spot. May it rest in peace. Advice to journalism students: Reps, reps, reps! Nothing beats the experience you’ll gain by simply starting to do the work — asking the questions, reporting and writing the stories, doing the TV hits. When you can, go places in person. Talk to more people than you think you’ll need. Read as much as you can, from different sources and on different topics. If you’re not sure how to start your story, that usually means you need more reporting. When you’re not sure, ask.
Clock is ticking on Colorado’s new AI rules
By Aashis Luitel On Jan. 1, organizations using covered automated systems must begin complying with Senate Bill 26-189, Colorado’s new Automated Decision-Making Technology Act. They can identify those systems and start building the processes the statute clearly requires. What they cannot do is confidently finalize two key pieces: the disclosures consumers must receive after an […]
Big Ten, SEC are on the clock as new college athletics bill is circulated - Live Updates
Sens. Ted Cruz and Maria Cantwell want a Senate floor vote as soon as next week.
The Beatles counting down to news ‘coming soon’
The Beatles appear to be teasing fans with news to come.The Rock & Roll Hall of Fame band’s website now has a countdown clock that appears to end on Wednesday at 7 p.m. BST, or 2 p.m. ET, along with t...
Scientists look to shark DNA for the genetic signature of time
Aging leaves telltale marks on DNA, and for the first time, scientists have used those molecular signatures to create a model that predicts the age of sharks. This tool, known as an epigenetic clock, was developed for the zebra shark (Stegostoma tigrinum) and could soon be expanded to more species,
Mizzou researchers find simple habit to improve physical, mental health
Study highlights how consistent daily habits can lower pain and depression, regardless of sleep quality.
He Sold His HVAC Business and Trucks in One Year. Two Years Later, Medicare Billed Him Like a Millionaire.
An HVAC contractor sold his business, paid his taxes, and booked a trip to Portugal. Two years later, Medicare sent him a premium notice sized for someone still running a seven-figure operation, and the clock to fight it was already running.
UT Health sleep expert warns of health impacts if clocks stop changing
Dr. Daniel Rongo, a physician and sleep expert, said darker mornings could reduce exposure to early-day light that helps regulate the body’s circadian rhythm.
Can This New Enzyme Turn Back the Clock in Bodily Tissues?
In a recent study, scientists devised a way of reversing the buildup of compounds that lead to some age-related diseases.
‘The Clock Is Ticking’: Why the Political Center Is Running Out of Time
An intensive research project in France finds the far right on the march, with voters viewing the political center as vapid and discredited.
Trump imposes double-digit tariffs on dozens of countries as stopgap 10% levies expire Friday
President Donald Trump is going ahead with new double-digit tariffs on dozens of U.S. trading partners just as the clock runs out Friday on stopgap levies he imposed after a stinging defeat at the Supreme Court.
UW Health thinks Wisconsin’s health apprenticeships can become model
To fill openings for nurses, surgical techs and more, UW Health pays staff to train for new careers, on the clock. It wants to show others how it’s done.
Phish Busts A 1992 Move To Open MSG Run
Phish turned the clock all the way back Wednesday night (July 22) at New York's Madison Square Garden.
Fernando Mendoza Headlines a Young Raiders Core With Mismatched Timelines
The Raiders are not planning to contend in the immediate future. ESPN’s Aaron Schatz ranked all 32 NFL teams based on how talented the players under the age of 25 are on their roster. The Raiders clocked in with the sixth best mark.
Piitch-timer gamesmanship triggers scuffle between Pirates, Yankees
New York Yankees shortstop Jose Caballero triggered a benches-clearing scuffle with the Pittsburgh Pirates through manipulation of MLB's pitch clock.
Fake Spa Listings Take Deposits, Then Send Customers to Real Businesses
Customers searching online for a late-night massage around Jackson, Mississippi, are finding spa listings with real street addresses, glowing reviews, and around-the-clock availability. The businesses...
MSI quietly launches GeForce RTX 5080 INSPIRE 3X OC BLACK
MSI has added a darker version of its compact triple-fan RTX 5080. The card keeps the same clocks and cooler but drops the gold finish and RGB.
AMC Entertainment Attracts More Than 4.3 Million Moviegoers Worldwide as THE ODYSSEY Delivers the Biggest Opening Weekend for an R-rated Film Across AMC’s U.S. Circuit Since 2024
Six U.S. AMC locations operated around the clock throughout the weekend, running THE ODYSSEY showtimes for more than 85 consecutive hours to…...
Rejuvenation science: Rewinding biological clock works for mice, not yet for humans
THE QUEST TO LIVE LONGER, fuller lives has captivated humanity for millennia. In lab mice, scientists have spent about a century studying the cellular
Xbox Says More Exclusives Are Coming But Tells Players Not to 'Overly Fixate on Single-Player' Games
Executives at Xbox have once again attempted to clarify the company's approach to exclusives, promising that "Gears of War: E-Day and Clockwork Revolution are not the only titles" it's planning.
The Clock Is Now Ticking on Netanyahu’s Political Future
Israel’s prime minister is bracing for a fight to stay in power as the parliament dissolves and the countdown to an election begins.
27-year-old locksmith spent $7,000 on tools, works around the clock in NYC: 'I'd never held a screwdriver in my life' before starting
Yona Sahar, founder of Locksmith Girl of NYC, spent two years learning the trade. Now, she runs her own business while working around the clock.
"There has to be a reason for people to buy an Xbox": Making sense of Microsoft's messy return to console exclusivity
The Saturday Read | Senior leaders across Xbox detail why the platform is returning to console exclusivity, and explain why Gears of War: E-Day and Clockwork Revolution are only the beginning
Trump's Iran notice aims to reset war powers clock amid growing political risks
The Trump administration's notification to restart the war with Iran aims to reset a 60-day clock for military action, but questions are mounting about public support as midterms approach.
iOS 27: My favorite new iPhone features (other than AI)
The iOS 27 public beta is here, and the headlining changes are Siri AI and the array of new Apple...
House passes Daylight Saving Time reform as Trump signals support for ending clock change
The Sunshine Protection Act passed the House with bipartisan support, but Senate skepticism and debates over circadian rhythm and road safety loom ahead.
Trump’s plan to make daylight saving time permanent to get a vote in House
The bipartisan Sunshine Protection Act would end the practice of switching clocks twice per year.
Upcoming OLED iPad Mini Allegedly Uses 60Hz 8.4-Inch Display Panel
Apple is allegedly using a 60Hz 8.4-inch display panel in the upcoming OLED iPad mini, which is expected to be released later this year. The information comes courtesy of a hit-and-miss tipster running the account "yeux1122" on the Korean Naver blog. The leaker claims to have been told by a source in Apple's supply chain that the unreleased iPad mini is equipped with a low-temperature polycrystalline silicon (LTPS) backplane hybrid OLED panel clocked at 60Hz.
OnePlus will reportedly officially shut down in the US and Europe later this week
The end is near and the clock is ticking. OnePlus is reportedly going to be shut down for good in...
Fentrice Driskell grows cash lead over Michele Rayner as clock winds down on SD 16 race
Driskell has a cash advantage of nearly $257,000.
N.H. lawmaker clocked at 107 mph asserts ‘legislative privilege’
The state representative likened her situation to that of an EMT or police officer responding to an urgent call. What was her emergency? She hasn’t said.
Federal funding and science doubled life expectancy. We can’t do more with less.
We are at dangerous risk of turning back the clock on the strides we’ve made in public health.
'Mirror life' technology worries Doomsday Clock scientists. This is why
This year, scientists included a new potential threat in their decision to move the Doomsday Clock closer to midnight. So what is 'mirror life' and why are they concerned?
Hospitals Help: Grand Traverse Mental Health Crisis and Access Center Advances Behavioral Healthcare in Northern Michigan - MHA | Michigan Health & Hospital Association
Michigan hospitals are working alongside community partners to remove barriers and ensure residents across the state have access to timely, lifesaving behavioral healthcare services. Located on the Munson Medical Center campus, the Grand Traverse Mental Health Crisis and Access Center is transforming care delivery across Northern Michigan by providing around-the-clock…
How World Cup stars pushing 40 are defying their biological clocks
Players in their mid-30s and older used to be rare. In 2026, they made up about 6% of the 48 national team squads.
Biological aging clocks in health and disease
Nature Medicine - This review outlines the state of the art of biological clocks and how they could help understand pathobiology, reduce the burden of disease and extend healthspan.
Holland packaging company buys former Howard Miller Clock facility for $15.9M
Coastal Container plans to use the facility to meet ongoing growth as it makes other investments.
Why AI Doesn’t Think, Cannot Reason, Isn’t Intelligent and Will Never Achieve Consciousness
Recent public comments made about AI suggest that Americans have difficulty with the implications of linear time. This is odd given that its conception is largely Western and is centered on the clock time used to coordinate capitalist employment. The conceptual difficulty regards sequencing, or plans for future actions. But it also involves the distribution of profits. 100% of the capital equipment used in Western economic production was produced by workers. So, why does the resulting product belong to financiers rather than those who produced it?
BUSINESS MONDAY: Spotlight on West Side Clock Shop in Pittsfield
This family-run business has stood the test of time—selling, servicing, and repairing clocks for 66 years.
10 Most Important Bears of 2026: #8 Grady Jarrett
Next up in @wiltfongjr’s 10 Most Important Bears series is defensive tackle Grady Jarrett. Can the 33-year-old turn back the clock?
Expansion clock is ticking. Do Big Ten, SEC make final move?
Big Ten and SEC have a shrinking window to expand before new federal legislation could force media rights pooling.
Faculty and staff recognized for professional excellence
Binghamton University faculty and staff have been recognized for their professional excellence and dedication to their work by the SUNY chancellor, the University, and the University’s provost and executive vice president for academic affairs.
Magnetic sperm and the ugliest shark: science stories of the week
From a lupus breakthrough to why humans naturally move anticlockwise, here are the most interesting scientific developments of the week
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
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Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
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