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Holland & Knight Health Dose: June 16, 2026 | Insights
The Centers for Medicare & Medicaid Services (CMS) will establish the Office of Health Technology and Products (OHTP) to oversee healthcare technology modernization.
Rice STEM-Letics camp turns sports into gateway for engineering
STEM-Letics, a summer camp hosted by Rice’s Center for STEM Engagement and Rice Athletics, introduces students in grades three through five to science, technology, engineering and math through sports and hands-on activities.
Apptio Unveils Conversational Insights and New Suite of AI-Powered Capabilities to Translate Complex Technology Spend into Measurable Business Outcomes
Apptio announced significant updates to its solution suite designed to turn technology investment into measurable business outcomes and establish best practices for the financial governance for AI in a time of record infrastructure investments.
Here Are Tuesday’s Best Wall Street Analyst Research Calls: Dynatrace, Emerson Electric, Exxon Mobil, Flutter Entertainment, Genuine Parts, nVent Electric, Palantir Technologies, Roku, and More
Pre-Market Stock Futures: Futures are trading modestly higher after a stunning opening to the week, as all major indices rocketed higher. The announcement of a cease-fire deal with Iran, which the leaders in that country acknowledged, called for reopening the Strait of Hormuz toll-free. While details will still be worked out over the next ... Here Are Tuesday’s Best Wall Street Analyst Research Calls: Dynatrace, Emerson Electric, Exxon Mobil, Flutter Entertainment, Genuine Parts, nVent Electric, Palantir Technologies, Roku, and More
Meet 16 companies pushing tech and science to new heights
Among this year's World Changing Ideas honorees, these companies are expanding what tech can do.
These companies are finding new ways to use AI and tech for security, health, and more
The 2026 AI and technology category for World Changing Ideas is full of new approaches to AI detection, mental health assessment, and even energy.
GTA 6 May Shatter All Sales Records with 45+ Million Units Sold on Launch Day, According to Piper Sandler
Piper Sandler says GTA 6 could sell more than 45 million copies at launch, setting an incredible new record for the franchise and industry.
Coral reefs are not doomed – but policy must catch up with the science
A new study shows some reefs still have a meaningful chance to survive and recover from climate impacts – provided they are protected
Wisconsin is offering $40 million for rural health care, part of Trump's 'One Big Beautiful Bill'
The funding will go to hospitals, clinics and other providers to hire community health workers, create partnerships and buy dental care technology.
United States Announces U.S. Government Members of the U.S.-Uzbekistan Business and Investment Council
United States Announces U.S. Government Members of the U.S.-Uzbekistan Business and Investment Council Press Release June 16, 2026 Today, at the fifth annual Tashkent International Investment Forum (TIIF 2026), the United States announced the following inaugural members of the U.S.-Uzbekistan Business and Investment Council: U.S. International Development Finance Corporation (DFC) Vice President Bethany Aquilina Brez Export-Import Bank of the United States (EXIM) Senior Vice President Sarah Witten Assistant Secretary of Commerce, David Fogel Assistant Secretary of State for Economic, Energy, and Business Affairs, Caleb Orr U.S. Ambassador to Uzbekistan, Jonathan Henick Launched in Washington, D.C., in April 2026, the U.S.-Uzbekistan Business and Investment Council serves as the premier bilateral platform to accelerate trade and catalyze private sector investment between the United States and Uzbekistan. The Council is Co-Chaired by Special Envoy for South and Central Asia, Ambassador Sergio Gor and Saida Mirziyoyeva, Head of the Administration of the President of the Republic of Uzbekistan. The Council gives American businesses direct access to U.S. government financing, trade promotion, and market development tools to execute large-scale projects in Uzbekistan. Uzbekistan holds significant reserves of critical minerals essential to U.S. technology, defense, and energy sectors. The Council provides a direct mechanism to advance U.S. access to these resources through transparent, mutually beneficial partnerships. Through their participation, the American members of the Council will deepen the institutional framework for American commercial engagement in Uzbekistan.
Commodore’s newest gadget is a flip phone that blocks social media and browsers
Commodore's Call Back 8020 is a phone “where the customer is not the product."
Noctua NL-LC1-36 AIO Review
The NL-LC1-36 is exactly what you'd expect from Noctua's first all-in-one liquid cooler. It offers an impressive mix of high performance, minimal noise, and exceptional engineering, making it a standout choice in a saturated market. Perfect for those who prefer to skip pump-mounted displays and ARGB lighting.
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
TOKYO (AP) — Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks, both companies said Tuesday.
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks
Japan's tech business SoftBank rolls out OpenAI 'patches' against cyberattacks
Japanese technology giant SoftBank Group Corp. is launching a service using OpenAI technology to protect against the looming threat of cyberattacks. Chief Executive Masayoshi Son called Japan’s...
WBNS 10TV
From its founding in 1949, WBNS-10TV has strived to bring to central Ohio the highest quality news and entertainment programming, while utilizing the best in television technology. WBNS is the most-watched news channel in central Ohio, delivering 24-hour news, CBS programming and sports, top-rated syndicated programs and award-winning local programming. WBNS stands on the cutting edge of television broadcasting as it has since its inception. On television, online and on the go, 10TV News is Central Ohio's News Leader. WBNS is part of TEGNA, a publicly traded local media company dedicated to serving the greater good of our communities.
Michael M. Crow explains why scientists need to learn how to talk about their research
Michael M. Crow is an American academic leader and science and technology policy scholar who has served as president of Arizona State University (ASU) since 2002. How would you describe the current s...
Ted Budd
The North Carolina senator shares why the U.S. needs to remain globally competitive in science and technology
Best summer books of 2026: Environment, Science and Technology
Pilita Clark, Clive Cookson and John Thornhill select their best mid-year reads
Texas Tech QB Brendan Sorsby declares for NFL supplemental draft amid NCAA legal battle
The Red Raiders quarterback bypasses a massive eligibility battle and legal war with the Big 12 after admitting to wagering on his own team
5 hiring tools that give small business owners their time back
How small businesses can use AI technology to speed up the hiring process.
Scientists just found a hidden weakness in forever chemicals
Researchers discovered that hydrogen radicals generated by intense UV light can break down stubborn PFAS “forever chemicals” without added chemicals. The breakthrough reveals a key mechanism that could lead to greener and more effective technologies for permanently destroying these pollutants.
Digital Science Launches Dimensions Citation Check API for Self-Citation Risk Screening
London, United Kingdom--(Newsfile Corp. - June 16, 2026) - Digital Science, a leading technology company serving stakeholders across the research...
Designing the Health Systems AI Promised
Every technology transition in healthcare has produced the same pattern: capability arrives before governance, deployment outpaces integration, and the accountability gap closes, eventually, through incident, litigation, or regulation. AI is running the same pattern, faster and at greater scale, in systems that were already fragile before it arrived.The more uncomfortable question shifts the lens away from what AI is doing to health systems, toward what health systems were never built to be. The institutions now absorbing...
Stablecoins Can Power Micropayments. Business Models Will Decide Their Future.
Micropayments are arguably, and so far, among the digital realm’s great unrealized opportunities. Every few years, advances in payments technology have
Gilat to buy Comtech satcoms business six years after failed merger
Israel’s Gilat Satellite Networks plans to expand its defense capabilities by acquiring most of Comtech’s space-related communications business, six years after the U.S. company’s own takeover bid collapsed.
Medtronic completes $550M acquisition of neurovascular company
Scientia Vascular, a medtech company focused on advanced stroke therapies, is now officially part of Medtronic.
Scientists Break Major Barrier: Are We Closer Than Ever to Real Invisibility? - Futura-Sciences
From H. G. Wells to Stealth Mode Invisibility has long been a topic that fires up our imagination. From the colorful camouflage suits designed to outsmart surveillance cameras, to military-grade technology meant to dodge radar, humanity’s efforts to disappear are almost as old as fiction itself. While we’re still far...
Mercy's Kerry Bommarito Earns "Top Women in Health IT" Recognition Again
Behind every breakthrough in healthcare technology is a leader helping move care forward — like Mercy’s own Kerry Bommarito. Mercy’s vice president of enterprise AI and decision intelligence has again been recognized by Becker’s Hospital Review, this time as part of its 2026 list of “Women in Health IT to Know.”
Users cry foul after AMD stripped memory crypto from its consumer CPUs
AMD's stripping of TSME from consumer CPUs appears to be a deliberate, covert move.
New ASU certificate lets students add AI expertise to any major
Artificial intelligence, or AI, is rapidly transforming nearly every industry, creating a growing need for students to add key technical skills to their major.
20 years of Intel Macs: Why Apple switched, and why it switched again
Remembering the ups and downs of the Intel Mac era as it finally winds down.
Intel’s Serpent Lake SoCs With NVIDIA RTX GPU Tiles Reportedly Arrive In Q1 2028
Intel's Serpent Lake SoCs featuring NVIDIA's RTX GPU tiles as integrated graphics are expected to roll out by Q1 2028.
James Uthmeier files lawsuit against TikTok for violating state law protecting kids
It's the latest move by Uthmeier in a string of legal challenges against large-scale technology firms.
CMS creates new health tech office to lead interoperability efforts, digital products
The Centers for Medicare and Medicaid Services (CMS) aims to play a bigger role in health tech modernization efforts, including leading interoperability initiatives. | The Centers for Medicare and Medicaid Services (CMS) aims to play a bigger role in health tech modernization efforts, including leading interoperability initiatives.
Onboarding support helps merchants adopt digital payment methods
A research team led by Shreya Kankanhalli of the SC Johnson College found that supporting merchants during and after installation of digital payment devices resulted in significantly greater uptake of the technology.
Big 12 pursues legal action against Texas Tech, Texas Attorney General in Brendan Sorsby case
The Big 12 seeks clarity in its authority to enforce bylaws after a previous judge granted the Texas Tech QB an injunction to play in 2026 despite gambling on his team's games
The Mother of All Deep Space Radio Telescopes Is Going Up in the Nevada Desert
Caltech says its Deep Synoptic Array will be larger and 100-times faster than any radio telescope ever constructed.
Big 12 pursuing legal action against Texas Tech, Texas attorney general over Brendan Sorsby
MSI Claw 8 EX AI+ Lands At $1,699, Nearly Doubling The Claw 8 AI+ As Handheld Prices Spiral
MSI's Claw EX AI+ handheld starts at $1,699, making it the company's most expensive device, nearly double the Claw 8's $899 price.
Trump threatens 100% tariff on French wines over digital services tax before G7 summit
President Donald Trump warns France of 100% tariffs on wine and champagne if Macron does not drop the 3% digital services tax on American technology companies.
Here Are Monday’s Best Wall Street Analyst Research Calls: Accenture, Caesars Entertainment, Datadog, Dupont, Epam Systems, Ferrari, Paychex, Rocket Lab, TeraWulf, and More
Pre-Market Stock Futures: Futures are exploding higher on news of a peace deal with Iran expected to be signed this Friday. This follows a historic Friday that saw the coming-out party of Space Exploration Technologies (NASDAQ: SPCX), widely known as Elon Musk’s SpaceX. The record-breaking size of the offering, raising $75 billion, the company’s debut ... Here Are Monday’s Best Wall Street Analyst Research Calls: Accenture, Caesars Entertainment, Datadog, Dupont, Epam Systems, Ferrari, Paychex, Rocket Lab, TeraWulf, and More
Here Are Monday’s Best Wall Street Analyst Research Calls: Accenture, Caesars Entertainment, Datadog, Dupont, Epam Systems, Ferrari, Paychex, Rocket Lab, TeraWulf, and More
Pre-Market Stock Futures: Futures are exploding higher on news of a peace deal with Iran expected to be signed this Friday. This follows a historic Friday that saw the coming-out party of Space Exploration Technologies (NASDAQ: SPCX), widely known as Elon Musk’s SpaceX. The record-breaking size of the offering, raising $75 billion, the company’s debut ... Here Are Monday’s Best Wall Street Analyst Research Calls: Accenture, Caesars Entertainment, Datadog, Dupont, Epam Systems, Ferrari, Paychex,
This strange material can become strong or fall apart in seconds
Scientists have found that staple-shaped particles can tangle together to create a material that is both strong and flexible. Unlike conventional materials, these particles can be locked into a sturdy structure or rapidly unraveled using vibrations. The unusual behavior could open the door to recyclable buildings, reconfigurable structures, and even futuristic robotic technologies.
Electronic Arts Introduces EA Advertising, Launching Brands Directly Into Gameplay and Live Experiences
Connecting brands to highly engaged audiences through an exclusive EA SPORTS Partner Program, in-game integrations, creative partnerships, and scalable advertising capabilities across EA’s global portfolio Electronic Arts Inc. (NASDAQ: EA), the global leader in interactive entertainment, today announced the launch of EA Advertising , a new platform transforming how brands connect with audiences through digital and real-world experiences across its global portfolio of games. EA sits at the intersection of entertainment, sports, technology, music, and culture. Across console, mobile, and PC, our games and services reached more than 120 million players 1 each month during fiscal year 2026. Together, this scale and frequency of engagement create meaningful opportunities for brands to connect with audiences through authentic, interactive experiences. EA SPORTS is one of the largest interactive sports platforms in the world, connecting hundreds of millions of players across console, PC, and
Science, Natural Resources Committee Democrats Demand Trump Administration Cease Illegal and Expensive Scheme to Dismantle NSF Ocean Observation System
The House Committee on Science, Space and Technology
A satellite just learned to find things on its own — here's what that means
In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own.
Hundreds of hidden earthquakes discovered beneath Antarctica — and they're happening in a very odd location
Antarctica was long thought to be seismically calm, but new technology makes it possible to detect unexpected types of earthquakes beneath the ice.
PAVS eyes $15–20M cash deal for women's activewear brand Jabanero
Non-binding LOI would see Paranovus pay $15–20M in cash for 100% of Jabanero, a women's activewear brand, as it expands into proprietary brands.
Paranovus Entertainment Technology Limited Signs Non-Binding Letter of Intent to Acquire Jabanero Inc.
NEW YORK, NY / ACCESS Newswire / June 15, 2026 / Paranovus Entertainment Technology Ltd. (NASDAQ:PAVS) ("PAVS" or the "Company"), a consumer products and digital commerce solutions company, today announced that it has entered into a non-binding Letter ...
State names first round of projects funded by federal rural health program
The state this week announced its first round of federal rural health grant funding, which allocated $36 million to projects to help communities with one-time infrastructure improvements and improve technological gaps. The Nevada Health Authority on Monday named the 25 projects that were awarded funding as part of the $180 million part of the Rural […]
Ukraine starting new phrase of Russia war with tech, tactics, progress
Ukraine has new tech and momentum that's letting it make the kind of progress it hasn't seen in years.
Greater Lowell Tech unveils building for new veterinary science program
Greater Lowell Technical High School is adding to its nearly two-dozen technical programs with a new option for students to study veterinary science in a brand-new building created for the program.
Penn launches $18 million facility to advance RNA technology’s role in health, agriculture
The RNA manufacturing hub opened this spring in University City. The National Science Foundation has invested in five such facilities nationally, each focused on a specific biological material.
Japan’s DJ Rinoka bobs to the beat as a child prodigy techno artist
Never mind she isn’t old enough to get into a club.
Most parents track their 18-25-year-old kids on their smartphones. Is that healthy?
A new survey from the University of Michigan asks parents about their use of technology to track their adult children, ages 18-25, including using "always on" location tracking on their smartphones.
North Canyon Medical Center and All Access Hosted by Andy Garcia Highlight Rural Healthcare Infrastructure and Advanced Robotics
As rural medical facilities face increasing operational challenges, North Canyon Medical Center joins the award-winning series, "All Access Hosted by Andy Garcia," to explore how technical innovation and organizational agility stabilize local economies and healthcare access.
Why I designed Charlotte Tilbury Beauty as a technology company
The beauty mogul explains why technology has been central to her business strategy from day one.
Shark expert says Tony Abbott ‘doesn’t understand the science’ after former PM calls for cull
Another expert says drone technology may have prevented a shark attack at Coogee beach on Saturday
Apple’s iPhone Ultra Now Tipped To Launch In 2027 With A Base Price Of $2,000, While The High-End Variant To Cost $2,200
Apple is apparently pushing back the debut of its iPhone Ultra amid an onslaught of engineering and supply chain-related challenges.
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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NMSU and UConn Extension developed a free 4-H biotech game that lets students explore 10 science careers through hands-on tasks.
Executive Impact Summit: Driving Business Success
Join us for a day with industry leaders to discuss valuable insights and guidance on navigating today's technical, regulatory, and cultural changes.
What a longtime Google AI leader told UW computer science students at their graduation
Jeff Dean, Google's chief scientist and a UW alum, returned to campus Friday with an optimistic but clear-eyed message about AI for Allen School graduates — many of them headed into the industry to help shape the future of technology.
What a longtime Google AI leader told UW computer science students at their graduation
Jeff Dean, Google's chief scientist and a UW alum, returned to campus Friday with an optimistic but clear-eyed message about AI for Allen School graduates — many of them headed into the industry to help shape the future of technology.
AMD Says MacBook Neo Can’t Run All Your Games While Ryzen-Based Laptops Can
AMD claims Ryzen laptops can run 20 games while MacBook Neo only supports 5, highlighting superior compatibility and performance for gaming.
Intel Reportedly Prepares Itself For Raptor Lake ‘NEXT’, As The Demand For DDR4 Platform Increases Significantly
Intel plans to launch Raptor Lake Next CPUs in early 2027 to meet DDR4 demands alongside Nova Lake processors amid high DDR5 prices.
Maui Health celebrates new CT scanner made possible with Oprah Winfrey donation
Maui Health Foundation conducted a blessing ceremony Monday for a new state-of-the-art CT scanner at its imaging facility, a milestone made possible through a generous donation from Oprah Winfrey.
NVIDIA’s 96 GB RTX PRO 6000 Blackwell Is Now Over 50% More Expensive As Price Hits $13,250
NVIDIA's fastest PRO graphics card, the RTX 6000 Blackwell, continues to see price hikes with the latest official listing of $13,250.
Our favorite health trackers are disappearing
Tech companies are evolving their health trackers to make them smaller, thinner, and near-invisible. Here's why.
Disney wants tech staffers to move fast with AI without 'tokenmaxxing'
Disney is leans into AI under CEO Josh D'Amaro but wants tech staffers to avoid "tokenmaxxing," or wasting tokens.
5 Small Business Ideas Perfect for Gen Z Entrepreneurs
These small business ideas let aspiring Gen Z entrepreneurs monetize their creativity and technical skills.
AMD Tackles NVIDIA’s $4679 DGX Spark AI PC With Its $3999 Ryzen AI Halo: Now Available With 128 GB Memory For Blazing Fast LLMs
AMD has officially launched its Ryzen AI Halo AI PC, which offers super-fast token throughput at a $3999 price point.
Arson convictions are getting thrown out. Experts blame 'junk science'
At least eight Michiganians convicted of arson have been exonerated since 2012. Some say it reflects agencies using debunked investigative techniques.
Tech world reacts to Trump controls on Anthropic's Fable and Mythos
One CEO said the move by the Trump administration and the response by Anthropic would 'send shockwaves' across AI labs.
AI can be a ‘secret sauce’ or a way of ‘democratizing mediocrity’—Here’s how business leaders are getting the best of the technology
AI tools can be the most effective and well-designed in the world, but two people can use the same tool and get to vastly different results.
Texas Tech officials address sports betting controversy surrounding transfer QB Brendan Sorsby
Texas Tech University Athletics' top leadership released an unprecedented 21-minute video defending quarterback Brendan Sorsby’s court-ordered return to the field, framing his permanent NCAA gambling ban as a matter of recovering from a medical addiction.
Exploring the Current Boundaries of AI for Science at TPC26
Last week’s TPC26 event brought together many of the world’s preeminent experts in using AI for science and engineering. The conference demonstrated that we have come quite far in just a few years. But it also showed us limits to the use of the technology as it currently exists, as well as possible ways the […]
UK selected to participate in 'Science to Venture' pilot focusing on national security
The University of Kentucky and the University of Louisville have been tapped to join a small group of schools working on national security technology.
ECRD 2026: Europe’s rare disease bottleneck is funding rather than science
Derisking assets to attract capital and rethinking funding models should be key priorities for Europe to retain its research pipeline.
Have politics finally come for the National Academies of Science?
A pending report on climate attribution may be setting the stage for conflict.
Texas Tech had the chance to become a great success story, but chose to be a victim instead
By throwing all its weight behind Brendan Sorsby, Texas Tech drastically altered its public perception
Huawei’s HarmonyOS Can Be Further Optimized To Run On 64KB RAM While Running On A Single Dry Cell Battery For A Year, Says Executive Director
At the Huawei Developer Conference 2026, an executive makes a bold claim stating that the HarmonyOS platform can be optimized to run on 64KB of RAM
Business—not As Usual - UMBC: University Of Maryland, Baltimore County
At UMBC, entrepreneurship transcends a traditional business education: It empowers scientists, artists, and technologists to transform their expertise into real-world impact.
Insta360 Countersues DJI, Asserting Five Patent Violations
Insta360 has countersued DJI for what it asserts are violations of five utility patents covering technology in gimbal and 360-degree cameras.
Record AirPods Price Drops and a Rare Switch 2 Sale: This Week's Top Tech Deals
Multiple AirPods models hit record low prices this week, including the AirPods Pro 3 and AirPods Max 2. We're tracking these great discounts alongside an ultra rare discount on a new Switch 2 on Woot, plus a Summer sale at Sonos. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.