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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...
NVIDIA DLSS 5 Technical Preview Review
NVIDIA DLSS 5 is the first technology that adds to a scene rather than reconstructing it—a generative model running locally that magically improves things. In our DLSS 5 Technical Preview we look at how the model works, what it costs in performance, and how much control developers really have.
NVIDIA DLSS 5 Performance Unveiled: 5x Faster Than Original Demo, 50% Perf Penalty on Average, But RTX 50 GPUs Offer “Hundreds of FPS” With MFG Enabled & More Optimizations On the Way
NVIDIA is sharing the first performance figures of its RTX 50 GPUs running DLSS 5, offering next-gen visuals at super-fast frame rates.
NVIDIA's DLSS 5 Launches With NBA 2K27 On September 3, But There's Little Reason For Excitement
NVIDIA's controversial DLSS 5 finally arrives this week, but there's little reason to celebrate it.
Nvidia’s controversial DLSS 5 arrives September 3rd and requires serious GPU horsepower
It seems to look better than the terrible initial examples.
Nvidia’s DLSS 5, explained
A show-and-tell with Nvidia’s controversial DLSS 5 neural rendering, launching this week.
Lowe's launches major effort to help close America's skilled trades gap
Lowe's Foundation launched a coalition with Nvidia, General Motors and over 75 partners to train and certify 1 million skilled tradespeople by 2035.
ASUS unveils specs for its new ProArt P14 creator laptop powered by NVIDIA RTX Spark
ASUS's new ProArt P14 creator laptop will be one of the first RTX Spark devices to launch this year, with support for up to 128GB of unified memory.
Leaked DLSS 5 is Being Tested on RTX 20-series "Turing" GPUs, Now Runs on Emulators and Old DirectX Titles
The leaked DLSS 5 DLL keeps finding new homes, and support has now spread to RTX 20-series "Turing" GPUs. That architecture is three whole generations behind the NVIDIA-recommended "Blackwell," and modders are showing no signs of stopping either. Developer ShortFuse has released new DLSS-NR...
Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize next. First proving their value in software…
NVIDIA DLSS 5 Fixes Shadows Kingdom Come: Deliverance 2 Couldn’t Render, as Daniel Vávra Says Characters Finally Look As Intended
Kingdom Come: Deliverance series director Daniel Vávra praises NVIDIA DLSS 5, making the second game's characters look as originally intended
NVIDIA Shuts Down RTX 5000 Power Limit Control OC in Latest Driver Update
We recently reported on the open-source overclocking tool, mVolt+, unlocking power limit control on NVIDIA GeForce RTX 5000-series GPUs, allowing certain GPUs, like the RTX 5090, to draw up to 125 W of additional power and enabling significantly higher core clock speeds as a result. With the...
Tech workers name their dream employers, from OpenAI to Google
Tech workers share their dream employers, from OpenAI and Anthropic to Google and NVIDIA — and the companies they'd rather pass on.
NVIDIA Buys Hugging Face: Three Implications For Your Business
NVIDIA is reportedly buying Hugging Face. What the deal means for open-source/open-weight AI infrastructure. Three implications and immediate actions for your business.
DLSS 5 Patched to Work on RTX 4000 "Ada Lovelace" GPUs Despite No Official Support
The modding community has been hard at work ever since the untimely release of DLSS-NR, a precursor to DLSS 5. Now, modders have gotten NVIDIA's leaked DLSS 5 tool working on RTX 4000 series cards, even though the tool was only built for RTX 5000 Blackwell hardware. The DLL leaked earlier this...
DLSS 5 leaked and modders are putting Nvidia’s AI effects on everything
Here comes another round of “yassified” memes.
First Leak of Nvidia's DLSS 5 Apparently Makes Games Look and Run Worse
Mods using an early version of Nvidia’s AI-slop-ified visuals still ignores artistic intent and cuts performance in half.
DLSS 5 Gets Modded Into Skyrim With Dramatic Changes to Lighting and Character Faces
NVIDIA announced DLSS 5 back in March to a decidedly mixed reaction, as many gamers did not particularly like the modifications it made to character faces. While it is not officially out yet, an early-access build of NBA 2K27 was found to contain a DLSS Neural Rendering DLL, believed to be a...
NVIDIA DLSS 5 DLL Leaked by NBA 2K27 Early Access Build, Here's Our Analysis
Earlier today, we reported that a DLSS 5 DLL has been leaked by an early access build of 2K's NBA2K27 early access. NVIDIA announced DLSS 5 earlier this year, and showed more details at SIGGRAPH this year, saying it would ship "this fall." However, we were surprised that it is shipping already,...
Nvidia to start employee-funded US political action committee
Tech company Nvidia will start an employee-funded political action committee, a source familiar with the plans told Reuters, as the company seeks to step up its efforts to influence U.S. policy.
Nvidia’s Hidden $40 Billion Business Beyond Big Tech Is Growing Twice as Fast
Nvidia's data center customer list is changing fast, and the new buyers look nothing like the hyperscalers who built the company's dominance. Whether that signals genuine strength or a subtler kind of risk depends on who is actually paying the bills.
As Nvidia rumors swirl, Hugging Face unveils a $399 robot
Hugging Face unveils Microduck, a $399 AI robot for hands-on learning.
US futures mostly higher as the artificial intelligence business booms
US futures are mostly higher as demand for artificial intelligence technology leads to a surge in business for Nvidia and other tech companies with heavy exposure to AI. S&P 500 futures gained …
Forbes Daily: Nvidia Beats Expectations As Data Center Business Grows
Today’s Forbes Daily covers an AI personal assistant, Meta's $18 billion settlement, FDA approves pancreatic cancer drug, Abercrombie and Fitch's market surge and more.
Asian technology shares ride high on AI optimism after Nvidia’s ‘stunning’ results
Investors breathe sigh of relief after AI bellwether Nvidia reports doubling in quarterly revenue to nearly $100bn
Nvidia in talks to acquire Hugging Face in $13 billion deal, Business Insider reports
Nvidia has been in serious talks to acquire AI platform Hugging Face in a deal that would value the company at more than $13 billion, Business Insider reported on Wednesday, citing a person familiar with the matter.
Nvidia in talks to acquire Hugging Face in $13 billion deal, Business Insider reports
Aug 26 (Reuters) - Nvidia has been in serious talks to acquire AI platform Hugging Face in a deal that would value the company at more than $13 billion, Business Insider reported on Wednesday, citing a person familiar with the matter. Reut...
Nvidia has been in talks to buy Hugging Face for more than $13 billion
Nvidia has held talks to acquire Hugging Face for more than $13 billion as the chip giant expands its AI dealmaking.
AOC AGP327KG is the first 5K G-SYNC Pulsar gaming monitor
AOC has unveiled the AGP327KG, a 31.5-inch 5K gaming monitor running at 144Hz. It is the first model to combine 5120×2880 resolution with NVIDIA G-SYNC Pulsar.
Nvidia earnings could reveal its fastest-growing business isn't chips: Chart of the Day
Wall Street is focused on Nvidia's GPUs, but the faster-growing story is sitting beside them.
Perplexity launches a local AI agent with zero token costs
Perplexity has launched "Portable Computer" — a new agentic AI that runs locally on NVIDIA hardware and saves token costs.
NVIDIA DLSS 4.5 Ray Reconstruction Review
NVIDIA DLSS 4.5 Ray Reconstruction boosts image quality with a new AI-powered model that uses 20% more parameters and 35% more compute, all without sacrificing performance. Our testing shows that ray-traced visuals are enhanced, offering crisper, richer textures, especially in path tracing.
Perplexity partners with Nvidia to launch Portable Computer, a fully local AI agent with zero token costs
Perplexity launches Portable Computer, a local AI agent platform that runs privately on Nvidia DGX Spark and RTX-powered Linux machines without cloud fees.
NVIDIA GeForce On returns August 25, DLSS 4.5 Ray Reconstruction release expected
NVIDIA will host its Gamescom GeForce On update on August 25. DLSS 4.5 Ray Reconstruction is a likely topic after its files appeared in Modern Warfare 4.
Nvidia just showed that the harness, not the AI model, is now the real hero
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
NVIDIA GeForce NOW adds official Firefox support, up to 1440p 120 FPS
Firefox now officially supports NVIDIA GeForce NOW after months of work between Mozilla and NVIDIA. More than 2,000 games can be streamed through the browser.
Old Chips Are Holding Their Value | AI & Business for August 18
Plus, Nvidia’s financing backstop, and what better open-weight models means.
GPU market evolves backwards as modded RTX 3080 20GB cards return as cheaper gaming alternatives
The RTX 3080 is nearly six years old, but 20GB modifications continue to appear in China. NVIDIA also continues supporting Ampere with newer DLSS models.
Which Nvidia GPU Is Equivalent To The PlayStation 5?
Sony's video game console most closely matches an Nvidia RTX 3070, the equivalent of a mid-range card. But there's more to it than raw specs.
NVIDIA GeForce NOW for Linux Officially Arrives
NVIDIA's efforts to enhance gaming on Linux operating systems are increasing. The company announced today that the official, native port of the GeForce NOW cloud gaming service client app is out of beta and now available for gamers worldwide. With months of community feedback integrated into the...