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NVIDIA DGX Spark 64GB Launched and Big 128GB GB10 Price Increases
The NVIDIA DGX Spark 64GB is launching with a $4999 price as the 128GB model jumps to $6950 pushed by memory pricing
NVIDIA Raises Shield TV Pro Price to $299, Discontinues Standard Shield TV
NVIDIA has raised the price of the Shield TV Pro from $199.99 to $299.99, effective October 2. The streaming box launched in October 2019 at $199.99 and held that price for almost seven years. Earlier this year, NVIDIA promised to keep updating the Shield TV, with hardware engineering SVP Andrew...
Nvidia Is Killing Its Beloved Shield TV Because It Had Too Much Memory
It’s hard not to see this as a symbol for Nvidia’s turn away from its gaming roots.
NVIDIA Launches DGX Spark 64 GB Desktop AI Systems
Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64 GB of unified...
The 7-year-old Nvidia Shield TV is now $100 more expensive thanks to AI
Initially launched in 2019, the Nvidia Shield TV Pro now retails for $299.99.
NVIDIA DGX Spark drops to 64GB memory but costs more than the original 128GB version
NVIDIA announces a 64GB DGX Spark starting at $4,999. The original 128GB model carried a $3,999 MSRP before NVIDIA raised it to $4,699.
What To Expect At Microsoft's Windows, Surface And AI Event On October 7
We'll definitely hear about the NVIDIA RTX Spark-powered Surface Laptop Ultra, but what else?
NVIDIA’s 64 GB DGX Spark “AI Supercomputer” Launches This Month For $4999, While The 128 GB Spark Jumps Past $6000
NVIDIA is launching a new version of its DGX Spark AI Supercomputer which packs half the memory, but is priced the same as the 128 GB model.
Nvidia debuts $4,999 DGX Spark with half the RAM and storage, amid memory crunch
Meanwhile 128 GB version jumps to $6,950, nearly 75% above its launch price
CUDA engineers adapt as AI reshapes Nvidia chip expertise
Engineers who work with CUDA, used for programming Nvidia's chips, are increasingly managing AI coding agents. Demand for CUDA expertise remains high.
NVIDIA and Microsoft tease RTX Spark announcements for October 7 Windows event
RTX Spark will be a key focus of Microsoft’s October 7 Windows event with Jensen Huang in attendance. The first systems appear aimed at premium laptops and workstations rather than gaming PCs.
Borderless Gaming’s DLSS 5 Implementation Runs Without Touching NVIDIA’s Software, Quantized to Work Well Even on Unsupported GPUs
Borderless Gaming has been updated with a custom implementation of NVIDIA DLSS 5 Neural Rendering that runs on a much wider range of GPUs.
OpenClaw slips on a suit to evade widespread business bans
Red Hat, Nvidia, OpenAI and friends are working on an enterprise edition they say is ‘Kubernetes for agents’
Not the GPUs. This Overlooked Piece of Nvidia's Business Could Matter Most for the Stock's Next Leg Up.
Nvidia sees this area as a $200 billion opportunity.
Not the GPUs. This Overlooked Piece of Nvidia's Business Could Matter Most for the Stock's Next Leg Up.
Nvidia sees this area as a $200 billion opportunity.
Thieves steal Nvidia-branded trailer, find sand instead
Thieves stole two trucks, including an Nvidia-branded trailer, as AI hardware thefts rise. Their haul: 40,000 pounds of sand.
Thieves steal Nvidia-branded trailer, find sand instead
Thieves stole two trucks, including an Nvidia-branded trailer, as AI hardware thefts rise. Their haul: 40,000 pounds of sand.
Nvidia Stock Rises As AI Chipmaker Plans Huge Share Buyback
Nvidia signaled that it believes its stock is undervalued by announcing a huge increase to its share repurchase program.
Nvidia announces the biggest share buyback in history
Nvidia said on Monday that it would it expand its overall buyback program to $235 billion, the biggest in stock market history.
Apple and Nvidia Just Delivered a Major Boost for TSMC Chip Business
TSMC Stock Gets a Fresh AI Catalyst as 2nm Orders Surge
AbbVie partners with IPO-bound Iambic for AI-led drug discoveries
AbbVie is looking to a Nvidia-backed, AI-driven drug development company to accelerate its small molecule discovery.
Modder Squeezes 74% More Performance Out of DLSS 5 on AMD Radeon in One Day
Modders working on bringing NVIDIA's DLSS 5 Neural Rendering to AMD Radeon GPUs just had their busiest day yet. The developer behind the DLSS-NR-on-AMD tool shipped two new versions within 24 hours, Alpha 0.3.3 and Alpha 0.4.0, together adding roughly 74% performance on Radeon hardware, according...
RTX 5080 and RX 7900 XTX showed almost identical FPS in Ace Combat 8 in 4K
We have carried out detailed benchmarking of the latest NVIDIA GeForce RTX series graphics accelerators and AMD Radeon RX in the flight simulator Ace Combat...
Behold the horrors of DLSS 5, NVidia's real-time AI graphics improver
DLSS 5 is Nvidia's AI-powered tech for dynamically repainting video game scenes in real-time, with more realistic lighting, textures and geometry. Controversial enough on recent games, where it succeeds (more…
Huang says 1 number in the AI debate isn't science-based at all
Nvidia's CEO took aim at a figure that has shaped careers and portfolios, and the man behind it has his own doubts.
Nvidia CEO Doesn't Care That Kids Are Forgetting Basic Math Because Of AI: 'I Actually Don't Know My Address'
Who needs to know things like your own phone number or home address or how to solve a simple equation like 3x2?
How Open Science Can Help Researchers Prepare for the Next Pandemic
NVIDIA is collaborating with organizations including Google DeepMind and the European Molecular Biology Laboratory’s European Bioinformatics Institute to release an open dataset of viral protein structures — giving scientists a head start against diseases.
Googlebooks will get full GeForce Now support ‘later this year’
Nvidia says Google’s new Gemini-infused laptops are slated to get GeForce Now support before the year is up, which is...
CyberPowerPC Gaming PCs With Founder's Edition Nvidia GeForce RTX 5070 GPUs Are on Sale During the Walmart GeForce Week Sale Event
Part of the Walmart's GeForce Week Sale that ends on September 27.
NVIDIA Unleashes The Next Chapter of Neural Rendering & Path Tracing With RTX Kit SDK While RTX Mega Geometry 2.0 SDK Gives Devs the Ability To Stream Insane Levels of Detail
NVIDIA unleashes RTX Kit and RTX Mega Geometry 2.0 SDKs, giving devs a taste of next-gen Neural Rendering, Path Tracing & game technologies.
IonQ stock rallies after technical breakthrough, Nvidia research deal
IonQ jumped on Wednesday, helping other quantum stocks gain after reporting a technical milestone and a deal to bring its tech to an Nvidia research center.
Quanome Advances Its AI Cloud Business XDT with US$18.8 Million Infrastructure Purchase Agreement
Company Advances Development of First U.S. AI Infrastructure Hub, Executes Its Quantum & AI Systems Strategy ITASCA, Ill., Sept. 23, 2026 (GLOBE NEWSWIRE) -- Quanome Technologies, Inc. (Nasdaq: QNME) (“Quanome” or the “Company”) is advancing its Quantum and AI Systems business through an approximately US$18.8 million purchase agreement for computing infrastructure powered by NVIDIA GPU technology to build its AI cloud business through its subsidiary, XDT Infrastructure I, LLC (“XDT”). The Compan
Nvidia establishes Israeli research group focused on AI for medicine and science
The Applied AI Architecture group has begun recruiting researchers in Israel and will work on AI applications ranging from genomics and drug discovery to new materials.
CyberPowerPC Launches RTX Founders Edition Pre-Built PCs Starting at $1,549
NVIDIA's Founders Edition graphics cards are generally restricted to its own retail channels, but it seems as though CyberPowerPC has a limited run of RTX 50-series GPUs available in its pre-built gaming PCs for a GeForce Week event, which is slated to run until September 27. The CyberPowerPCs...
CyberPowerPC now sells prebuilt PCs with NVIDIA RTX 50 Founders Edition GPUs, 1,000 RTX 5080 systems sell in one day
CyberPowerPC is using NVIDIA's own RTX 50 Founders Edition cards in new Walmart systems. The RTX 5080 configuration with Ryzen 7 9800X3D costs $2,299.
With new Macs, Apple aims to take on Microsoft, Nvidia in a rush to lower AI costs
When Apple's new desktop computers start shipping Tuesday, the company's executives will make an unusual pitch to corporate buyers: They are cheaper than renting data centers.
With new Macs, Apple aims to take on Microsoft, Nvidia in a rush to lower AI costs
SAN FRANCISCO, Sept 22 (Reuters) - When Apple's new desktop computers start shipping Tuesday, the company's executives will make an unusual pitch to corporate buyers: They are cheaper than renting data centers. Apple's upgraded Mac Minis and Mac Studios which can cost nearly $20,000 and handle AI tasks locally will go head-to-head against new desktop machines that Nvidia and PC makers are rolling out, expected to be the focus of a Microsoft Windows event in San Francisco next month.
Which Nvidia GPU Is Equivalent To The PlayStation 5 Pro?
While the PlayStation 5 Pro is the most graphically capable console, its PC equivalent GPU has some other tricks up its sleeve that make it just as capable.
Jensen Huang: AI CEOs have 'ulterior reasons' in doomsday warnings
Nvidia CEO Jensen Huang says current regulations are enough to ensure AI is safe — and profitable.
DGX Spark prices are already climbing before RTX Spark mini PCs launch
NVIDIA lists DGX Spark at $4,699, but the cheapest unit we found in stock costs $4,999.99. RTX Spark Windows PCs arrive in October.
Verily Health Secures Investment From NVIDIA And CU Healthcare Innovation Fund To Expand Precision Health AI Platform
Verily Health has secured new investment from NVIDIA and existing backer CU Healthcare Innovation Fund II as the precision health technology company expands its data and artificial intelligence platform. The financing extends Verily’s March fundraising. The company did not disclose the size of the additional investments. Verily’s existing investors also include Alphabet, Series X Capital and UCHealth.
M5 Ultra and M6 Chip Benchmark Results Reveal Graphics Performance
The first GPU benchmark results for Apple's new M5 Ultra and M6 chips have surfaced, ahead of the new Mac Studio and Mac mini models launching on Tuesday. If you are interested in CPU results, we shared those earlier this week. So far, the M5 Ultra has achieved up to a 59% higher Metal score (366,744) on Geekbench 7 compared to the M3 Ultra's average score of 230,420, and the chip's OpenCL score is roughly in line with NVIDIA's GeForce RTX 4080.
AI leaders to attend state dinner with Jinping: Report
Several of the technology industry’s most prominent artificial intelligence leaders are expected to attend President Donald Trump’s state dinner for Chinese President Xi Jinping next week, putting AI and the growing U.S.-China technology rivalry in focus as the two leaders prepare for their Sept. 24 summit. OpenAI CEO Sam Altman, Nvidia CEO Jensen Huang, and […]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
The king and AI: UK monarch Charles meets artificial intelligence leaders as safety concerns swirl
LONDON (AP) — King Charles III on Thursday urged senior leaders from OpenAI, Anthropic, Google DeepMind and Nvidia to make sure that artificial intelligence remains under control and in the service of people and the planet. The gathering in Scotland was convened to discuss how AI can benefit society, and comes at a pivotal moment […]
Snap targets enterprises with Salesforce, Nvidia AI tools for augmented-reality glasses
Snap on Wednesday announced partnerships with companies including Salesforce, Nvidia and Amazon Web Services to integrate workplace tools into its Specs augmented-reality glasses, courting enterprise demand to carve a foothold in the heavily contested market.
Snap tries to bring AR glasses to enterprise market, partnering with Nvidia, AWS and Salesforce
Snap is partnering with Nvidia, Amazon Web Services and Salesforce as part of an enterprise sales push centered on its $2,000 Specs AR glasses.
Leaker Claims AMD And NVIDIA Delay Next-Gen GPUs To 2028, Except One RDNA 5-Based AT2 Chip Launching In 2027
AMD and NVIDIA may skip 2027 for next-gen GPUs, with only AMD's mid-range RDNA 5 AT2 launching next year alongside continued high prices.
Jensen Huang said China isn't debating AI doom. Weibo disagrees.
Nvidia CEO Jensen Huang's remarks are trending on Weibo, the country's version of X.
Which Nvidia GPU Is Equivalent To The Meta Quest 3?
The Meta Quest 3 utilizes the Snapdragon XR2 Gen 2, which can rival an Nvidia GTX 960, but a one-to-one comparison doesn't paint the whole picture.
RTX 5090 stock dries up as prices soar past $10,000
NVIDIA's RTX 5090 is becoming increasingly difficult to find, with some listings now approaching five times its original $1,999 MSRP.
Nvidia CEO Jensen Huang dismisses AI doomsday fears as 'not grounded in science'
Stuart Varney and Madison Allworth report on Nvidia CEO Jensen Huang dismissing AI doomsday fears. Jensen Huang explains why extreme AI concerns are not grounded in science, as President Donald Trump calls into the event.
No One Can Believe The Current Price Of An Nvidia RTX 5090
The top-end GPU has hit astronomical prices, even in large retail stores
Wall Street ends down, calls for AI slowdown pummel chipmakers
Wall Street declines as Nvidia and chipmakers drop amid AI safety calls and rising 10-year Treasury yields ahead of the Federal Reserve meeting.
Which Nvidia GPU Is Equivalent To The Xbox Series S?
The 1650 SUPER from Nvidia's now discontinued GTX graphics card line comes closest to the GPU inside the Xbox Series S in terms of direct comparison.
AI warnings spark decline in tech stocks, Nvidia slides
AI warnings from Anthropic's Dario Amodei impact tech stocks like Nvidia, SpaceX, and Microsoft, causing a premarket decline.
NVIDIA Intros RTX PRO 5500 Blackwell Graphics Card, Features Same Core Count As The 5090 But With 2.6x The VRAM
NVIDIA's latest addition to the Blackwell PRO family is the RTX PRO 5500 Workstation Edition graphics card with 84 GB of memory.
NVIDIA Unveils RTX PRO 5500 "Blackwell" Workstation GPU with 84 GB GDDR7 Memory
NVIDIA today quietly added another card to its pro-viz product lineup with the RTX PRO 5500 "Blackwell" workstation GPU edition. Featuring 84 GB of GDDR7 memory, it is equipped with a GB202 die that includes 21,760 CUDA cores. This is the same CUDA core count as the consumer GeForce RTX 5090 SKU,...
CEO Jensen Huang offers candid advice to departing Nvidia staff
Nvidia CEO Jensen Huang gives blunt feedback to departing employees, influencing startups like Flexion Robotics and INT21 with direct insights.
DLSS Multi Frame Generation Has Now Been Modded Onto RTX 40, RTX 30 & Even RTX 20 GPUs
Modders unlock NVIDIA's DLSS Multi Frame Generation on RTX 20, 30, and 40 Series, expanding frame interpolation capabilities beyond the RTX 50 Series
Enflame Technology soars after IPO as China backs Nvidia challengers
Tencent-backed Enflame is riding China's AI chip boom as US export curbs accelerate Beijing's semiconductor ambitions.
Nvidia CEO Jensen Huang dismisses "hysterical" AI fears
Nvidia CEO Jensen Huang dismissed fears of out-of-control AI creating outright havoc, but he's at risk of losing control of the narrative.
Verily Health secures investment from Nvidia to advance healthcare AI platforms
Verily and Nvidia entered an operational collaboration in October 2025, but this is the first time Nvidia has invested in Verily.
Modders Unlock DLSS Multi Frame Generation For RTX 30-Series "Ampere" GPUs
After porting DLSS 5 to every recent NVIDIA generation, the modding community now seems to be turning its focus to Frame Generation. A new mod called DLSSG SM86 lets GeForce RTX 30-series owners run DLSS Multi Frame Generation in 2X and 4X modes, a feature NVIDIA officially reserves for RTX...
NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC
At IBC, NVIDIA is announcing a major expansion to NVIDIA AI for Media to unlock new ways to understand motion, verify and enhance video, localize programming and build AI-powered media applications.
NVIDIA's DLSS 5 Adds Subtle Details To NBA 2K27, But Demands A Lot More Power
DLSS 5's juice may not be worth the squeeze for launch title NBA 2K27.
ASUS details ProArt GR1X mini PC with NVIDIA RTX Spark, 128GB unified memory and 10GbE
ASUS has finalized more specifications for its RTX Spark ProArt hardware. The GR1X mini PC measures 150 × 150 × 51 mm and supports up to 128GB of unified memory.
"This is super, super heavy" - Experts test Nvidia's divisive graphics-altering DLSS 5 tech and find it really does tank your game's frame-rate
Nvidia's new game-altering DLSS 5 technology takes a serious toll on a game's frame-rate, experts declare. So is it worth it?
Nvidia’s Israeli networking business is booming, and so is its economic footprint
The company’s networking revenue reached $32.3 billion in just the first half of fiscal 2027, already surpassing the previous full-year total. Much of the technology behind the business traces back to Mellanox and Nvidia’s Israeli development centers.
China's Nvidia rival Moore Threads plunges 20% after share unlock
The selloff is a sharp reversal for one of the biggest winners from China's AI frenzy.
Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Nvidia CEO Jensen Huang made the comment on Sunday, days after OpenAI released Astra, its newest and most powerful AI model.
How to install Nvidia DLSS 5 on almost any RTX GPU in minutes
Your full guide to Nvidia's latest gaming upgrade.
HP OmniBook Ultra 16 and X 14 get NVIDIA RTX Spark processors
HP is bringing NVIDIA RTX Spark to its OmniBook lineup, with the Ultra 16 supporting up to 128GB unified memory. The smaller OmniBook X 14 also uses RTX Spark.
New DLSS 5 Swapper Tool Brings Neural Rendering to Games NVIDIA Never Supported
A new tool called DLSS 5 Swapper, published on GitHub by developer rakanki911, automates installing DLSS 5's Neural Rendering into games, including ones that never officially got support for it. Users can drag and drop a game into the app, or let it scan the drive for installed titles on its own....
Acer's tiny RTX Spark PC takes aim at Mac Studio with Blackwell and 128GB unified memory
Acer's new RTX Spark is a compact AI workstation pairing NVIDIA Blackwell graphics with a Grace CPU and up to 128GB of unified memory.
Acer unveils compact RTX Spark PC with 128GB unified memory
Acer is developing a compact PC around NVIDIA's RTX Spark superchip. The IFA 2026 design supports up to 128GB of unified memory for local AI workloads.
Video card RTX 4090 showed a higher frame rate with DLSS 5 than the RTX 5080
A detailed comparative benchmarking of the NVIDIA GeForce RTX 5080 graphics accelerators with 16 GB of memory and GeForce has appeared online. RTX 4090 With...
Nvidia Wants to Turn Your Idle PCs Into a Personal Home Data Center With 'PAIR'
Nvidia's PAIR links your unused laptops, desktops, and Macs together to run agentic AI locally without subscription fees or cloud privacy risks.
HP unveils the world's thinnest Nvidia RTX Spark laptops for professionals and gamers alike
Perfect for people who want to deploy AI wherever they are.
DLSS 5 Will Be Coming to Older Graphics Cards After All
On Nvidia's forums, an Nvidia employee claimed that the company will be expanding DLSS 5 support to RTX 40 series graphics cards at some point, but we're probably going to be waiting a while for it.
ASUS Shows RTX Spark Mini PCs and Laptop Designs at IFA 2026
At IFA 2026 in Berlin, Germany, ASUS introduced mini PCs and laptops powered by NVIDIA's RTX Spark SoC. Starting with the GR1X mini, ASUS showcased the power of the RTX Spark N1X in grey or black aluminium enclosures. These are available with up to a 6,144-core GeForce RTX "Blackwell" GPU,...
NVIDIA Confirms DLSS 5 for GeForce RTX 40-Series is Coming
NVIDIA has officially confirmed that the company is working to bring DLSS 5 neural rendering to the previous-generation GeForce RTX 40-Series "Ada Lovelace." Previously, it was believed that DLSS 5 technology would be exclusive to the latest GeForce RTX 50-Series "Blackwell" and future models,...
NVIDIA Confirms DLSS 5 Support Extends To RTX 40 GPUs, But First Focusing On Model Optimization on RTX 50 Series
NVIDIA DLSS 5 is going to be released on older RTX 40 GPUs and will be available once the model is fully tuned on RTX 50 series.
Nvidia will officially bring DLSS 5 to older GPUs — but won’t give gamers full control
The cat is out of the bag.
Ugreen's New Smart Home Ecosystem Is Built Around Local AI Hubs
Ugreen has three new hubs that run your smart home with local AI rather than the cloud. The top model runs on Nvidia's Jetson Thor platform and costs $20,000.
Nvidia sets October launch for RTX Spark AI PCs
Nvidia on Thursday said Lenovo and Acer will launch the first Windows PCs powered by its RTX Spark chip in October, as the chip giant pushes to bring AI capabilities directly to laptops and desktop computers.
Nvidia PAIR Speeds Up AI Agents by Annexing PCs on Your Network
It's the home LAN reimagined.
NVIDIA RTX Spark PCs Arrive Next Month In Two “N1X” SoC Configs, One With a 20 Core CPU, 6144 Core GPU & Up To 128 GB Memory, Other With 18 Core CPU, 5120 Core GPU & Up To 32 GB Memory
NVIDIA's RTX Spark PCs are officially launching in October, powered by the N1X SoC, to deliver game-changing performance & efficiency.
NVIDIA PAIR Turns Your Idle Home PCs Into A Local AI Cluster, Killing $1,200-Per-Month Cloud API Bills
NVIDIA has introduced PAIR, a new way to combine and distribute AI inference across your home devices without any hardware installation.
Nvidia wants to turn your house of gaming PCs into an AI supercomputer
Nvidia's free RTX PAIR app spreads local AI workloads across multiple GPUs on your network, dramatically cutting down on processing times.
Nvidia launches free tool that links idle computers into a personal AI data center
We have AI tokens at home.
Nvidia’s new RTX Spark laptops launch in October with two different configs
Nvidia’s N1X laptop will ship in two different configurations for laptops and mini PCs.
The hidden reference in Nvidia and Hugging Face's deal price
"Special congrats if you find the Hugging Face and Nvidia references hidden in our $12,930,300,000 acquisition price," cofounder Thomas Wolf wrote.
Nvidia confirms it's buying Hugging Face for $13 billion
Nvidia is buying Hugging Face for $12.9 billion, the companies said on Thursday, confirming Business Insider's previous reporting.
Acer Builds Small Desktops for Local AI Agents
Acer showed two compact AI desktops: one built on Nvidia's RTX Spark superchip, the other on Intel Core Ultra processors.
Nvidia's controversial, face-changing, gen-AI DLSS 5 tech releases tomorrow for one game, and seems to tank frame-rates
If you own a 50-series GeForce graphics card or laptop, or use GeForce Now, you can try Nvidia's controversial new DLSS 5 tech this week.
Early DLSS 5 Testing Suggests the RTX 5090's Single Power Connector Might Be the Bottleneck
Community testing of leaked DLSS 5 builds suggests the tech may already be hitting a wall on NVIDIA's own flagship GPU. Tom's Hardware ran the neural rendering model through Cyberpunk 2077, Hogwarts Legacy, and Control on an RTX 5090 Founders Edition, as well as an MSI RTX 5090 Lightning Z....
Taiwanese Hardware Manufacturers Sell Out NVIDIA RTX Spark Laptop Stock Ahead of Launch
News out of Taiwan suggests that both ASUS and MSI have sold their entire production run of NVIDIA RTX Spark based laptops before a single unit has shipped. It would appear that allocation of the MediaTek co-developed chip has been pretty sparse by NVIDIA, which is one reason for the first stock...
NVIDIA DLSS 5 Launches in NBA 2K27 September 3rd, DLSS Comes to STAR WARS Zero Company, Onimusha: Way of the Sword & The Blood of Dawnwalker
Each week, new games and apps integrating NVIDIA DLSS, NVIDIA Reflex, and advanced ray-traced effects are released or announced, delivering the definitive PC experience for GeForce RTX players. In the last few days, STAR WARS Zero Company and Aliens: Fireteam Elite 2 have launched with DLSS....
DLSS 5 Officially Goes Live September 3 With NBA 2K27, Exclusive to RTX 50-series "Blackwell" GPUs
NVIDIA has confirmed that DLSS 5 will officially launch on September 3 alongside NBA 2K27, and it will remain exclusive to GeForce RTX 50-series GPUs. When asked directly at a Gamescom technical briefing whether older cards would ever receive support, NVIDIA gave a flat answer: "It's RTX...