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190 articles
If Nvidia and Microsoft’s teasers are more than synchronized marketing, Windows laptops built around Nvidia Arm silicon could become Computex 2026’s most important PC test.
Groq’s reported $650 million raise is not just another funding story, but a sign that AI infrastructure is increasingly being fought at the inference layer.
With Nsight Copilot for VS Code, NVIDIA is showing that AI help for CUDA development is moving away from generic chat and into a local, NVIDIA-specific workflow.
AMD has released ROCm 7.2.4 as a stable update to its open compute stack, focused on performance and stability fixes for AMD GPU users.
Helldivers 2 now has a performance-focused patch, but the real story is not just the upscaler list; it is how consistently those gains land outside ideal configurations.
Nouveau in Linux 7.2 is finally adding NVIDIA GA100 support, the kind of kernel change that arrives quietly but matters to the open graphics stack.
NVIDIA is targeting a very concrete AI infrastructure problem: inference replicas may scale quickly on paper, but users still wait while the model actually becomes ready.
NVIDIA says Blackwell has set a new STAC-AI record for LLM inference in finance, a pointed signal for banks, funds and trading infrastructure increasingly built around language models.
Nvidia’s plan to invest $150 billion a year in Taiwan is not just a business headline, but a blunt reminder that AI power does not move by decree.
Snowflake has signed a five-year, $6 billion agreement with Amazon for AI chips, giving AWS another signal that the infrastructure fight is no longer only about GPUs.
NVIDIA and LangChain are not selling a magic agent, but an infrastructure map for keeping autonomous AI workflows beyond the demo stage.
Starcloud-1 matters not because it is large, but because it packs into a 60-kilogram satellite the idea that AI infrastructure can move into orbit.
If Nvidia’s AI inference chip really slips out of 2026, the good news for PC gamers is not a new graphics card, but a little less pressure on the same silicon pipeline.
Nvidia’s Vera CPU does not topple EPYC and Xeon overnight in early Linux benchmarks, but for a first-generation custom server processor it lands close enough to change the conversation.
Nvidia now spends up to $150 billion a year on suppliers in Taiwan, including TSMC, ten times more than before the AI boom.
Aitech has integrated NVIDIA’s IGX Thor platform into its S-A2300 space AI supercomputer, sharpening the shift from satellites as sensors to satellites as computers.
China’s state procurement of AI chips has gained a new political and industrial boundary: domestic accelerators have entered the “secure and reliable” product list for the first time.
Taiwan’s alleged Nvidia AI-chip smuggling case shows that advanced-hardware enforcement is now a logistics fight, not just a diplomatic one.
The most expensive AI accelerator is worth less when data reaches it too slowly, too expensively, or through an architecture that burns more energy moving bits than computing on them.
NVIDIA’s Vera CPU is not yet broadly ramping, but the first Linux benchmarks already push it beyond the usual category of an interesting Arm experiment.
Rotaku’s Domo is not being pitched as a robotics revolution, but as an attempt to bring humanoid hardware into a price range smaller labs and development teams can actually test.
Google wants SynthID to become verification infrastructure for AI content, not just an internal watermark for its own models.
Anthropic may keep supplying Claude models to the NSA even after a Pentagon risk flag because, in government AI procurement, deployability can outweigh clean reputational logic.
Verobotics’ deployment at NVIDIA’s Israel campus shows how a facade can become a repeatable robotic workspace rather than an occasional high-risk inspection zone.
FANUC’s deeper integration with NVIDIA Isaac Sim is not about prettier simulation; it is about whether a virtual robot cycle can survive contact with the real factory floor.
Nvidia’s return to China now depends on Beijing as much as Washington, turning H200 sales into a test of who controls advanced AI hardware.
Cerebras raised $5.5 billion after a delayed IPO and instantly became the loudest public-market test of demand for AI hardware outside Nvidia’s ecosystem.
Tencent is using a stronger first quarter as a springboard for more aggressive AI infrastructure spending, even as Chinese chips are only beginning to catch up with demand.
Startup SPAN wants to test home XFRAnode systems for AI compute and later scale them to tens of thousands of locations.
Five experiments at the University of Augsburg suggest that a human-like robot voice increases perceived support after a service failure, even without compensation.
OpenAI’s reported chip plan is stuck on Broadcom’s demand that Microsoft commit to a large share of the run.
The AI industry likes to talk about intelligence. When the bills arrive, it talks about transformers.
Google is preparing a Gemini agent for Mac that organizes local files and asks for sensitive permissions.
The Pentagon announced classified-network AI agreements on May 1, 2026 without Anthropic.
Stormgate is losing online play at the end of April because Hathora, its game-server orchestration partner, is winding down gaming services after being acquired by Fireworks AI.
The $2 billion checks to Lumentum and Coherent mark Nvidia's largest explicit bet on optical interconnects to date.
The Dutch lithography giant targets 60 EUV machines in 2026, a 36% jump from 2025.
The deal marks the first major hyperscaler customer for Amazon's second-generation AI accelerators.
During Tesla's Q1 2026 earnings call, the company confirmed AI4 Plus, a self-driving computer upgrade with 32 GB RAM per chip and 64 GB total, raising the question of how long HW4 will remain viable.
WeRide and Geely Farizon want to deliver 2,000 upgraded Robotaxi GXR vehicles in 2026, and the real test will be production, permits, and reliable service across multiple cities.
The two tech giants are co-developing custom AI chips as the global CPU shortage strains cloud providers.
A $1,400 laptop motherboard with 128GB LPDDR5X RAM and an 8+6+2 VRM offers the first glimpse of Nvidia’s N1 SoC in the wild.
AGIBOT’s GO-2 model claims to bridge the gap between robotic planning and real-world execution, but the company has yet to release benchmarks or third-party validation.
EMIB-T matters because Intel is not only trying to build a better process node, but to offer a way around the packaging bottleneck that has squeezed AI chips for years.
Meta’s latest 175B-parameter LLaMA 3 model required a training run that consumed 1.2GWh—enough to power a Tesla Gigafactory for a day.
Project Glasswing gives Apple and other major technology partners controlled access to Claude Mythos Preview for defensive vulnerability hunting in critical software.
Supermicro’s servers power AI clusters for startups, labs, and governments—making them a prime target for China’s tech acquisition strategy.
The founder of No More Robots, an indie game publisher, has spoken out against the use of generative AI in gaming, calling it 'mega annoying' from a publisher perspective.
Michael Dell’s 625x memory demand forecast for 2028 isn’t a projection—it’s a warning shot to an industry already scrambling for DRAM.
TSMC and UMC are quietly preparing for a world where helium is as strategically vital as oil.
Anthropic’s Project Glasswing has Big Tech partners nodding—but no one’s showing their cards.
Krafton's legal Hail Mary to avoid a massive payout just got intercepted by a judge, who ordered the reinstatement of fired Unknown Worlds CEO Ted Gill and extended the $250 million bonus deadline to September 2026.
Cinemersive Labs, a startup specializing in AI-driven computer vision, joins Sony’s growing roster of AI acquisitions with no price tag attached.
Broadcom’s TPU arrangement shows how Anthropic’s future increasingly looks like a problem of power, supply, and long-term hardware commitments.
Jensen Huang called the claim that AI will destroy software 'ridiculous' during a public address.
Nvidia's $2 billion investment in Marvell Technology Group marks a significant step towards expanding its AI infrastructure capabilities globally.
Apple is facing a class action lawsuit from three YouTube channels, including h3h3Productions and MrShortGame Golf, over alleged DMCA violations.
Intel’s $10 billion advanced packaging push targets a 15–20% power efficiency edge over Nvidia’s H100—if developers rewrite their AI software to match.
PyTorch models may soon get their GPU kernels written by an LLM agent loop—if RightNow AI’s AutoKernel delivers on its 1.8x speedup claims without hallucinating CUDA syntax.
RAI Institute’s 2025 mall robots weren’t built to impress—they were built to measure how badly pop culture had warped player expectations.
Blue River’s AI weeder now covers 10 million acres, yet its biggest operational challenge isn’t algorithm accuracy—it’s convincing farmers to trust a machine that and can’t self-diagnose a jammed pump.
Nvidia's NemoClaw is the latest AI model to hit the scene, but it's still in early preview.
NVIDIA’s latest robotics push hinges on a claim its own partners can’t consistently prove: that virtual training translates to real-world performance.
Korea’s Rebellions is presenting rack-scale AI inference systems with claims of much lower power and cost.
A newly uncovered *Super Mario Bros.* glitch lets players manipulate the game’s code mid-playthrough, turning Mario into an unintended sandbox tool.
Nvidia’s GTC demo cut a 6.5GB texture set to 970MB using neural decompression—a trick that sidesteps traditional compression’s fidelity tradeoffs.
Three of the world’s most vocal climate-conscious tech giants are now quietly funding natural gas plants to keep their AI servers humming.
Take-Two’s AI division just became a cautionary tale about tech hype versus corporate pragmatism.
Nvidia’s stock may be soaring, but data center builders are stuck on hold—literally, with turning AI’s ‘hockey stick’ growth into a jagged line.
Nvidia’s behind-the-scenes memory deals could reshape cloud economics for years, analysts warn.
A mysterious Arduino-compatible board called the Neuro N6 promises Vision AI performance with ‘low power consumption’—but lacks a manufacturer, benchmarks, or release date.
NASA’s $500 million Mobile Launcher 2 project—designed for the now-canceled SLS Block 1B rocket—has been halted mid-construction, stranding a platform built for a future that no longer exists.
GDDRHammer and GeForge exploits let attackers flip CPU memory bits by abusing Nvidia GPUs’ own high-speed GDDR memory controllers.
Google’s Gemma 4 and NVIDIA’s RTX hardware promise to slash AI inference costs—but only if you’ve already bought the GPUs.
NVIDIA is accelerating Gemma 4 models for local agentic AI, marking a significant shift towards on-device AI.
Chris McGuire, the ex-Trump NSC director now at the Council on Foreign Relations, calls the latest AI chip restrictions *‘a policy written in erasable ink’*—and the ink’s smudging fast.
AMD and Intel’s MLPerf submissions quietly abandoned the GPU arms race—leaving Nvidia’s 288-H100 cluster as the lone monument to raw, unaffordable speed.
Nvidia's market share in China has dropped significantly, with local suppliers gaining ground.
Osmosis AI’s DKA decision-tree is live—but only for medical students, not the clinicians it claims to serve.
Marvell’s stock jumped 12% on the news—because $2 billion buys more than chips; it buys Nvidia a direct line to the data center’s spine.
NVIDIA’s GTC showcased AI agents drafting drug candidates via text prompts—yet not a single peer-reviewed study validates the approach.
Nvidia's market share in China has fallen to 55%, a significant drop from its previously claimed high of 95%.
Nvidia’s new *Auto Shader Compilation* beta silently preps shaders post-driver update, trimming *several minutes* off titles like *Alan Wake 2* and *Cyberpunk 2077*—but first-time installs remain a bottleneck.
OneComp’s open-source framework promises to cut AI compression workflows from days of manual tuning to a single command—but the real test lies in production.
Arm’s Neoverse V3-based AGI processor—136 cores, no US export restrictions—just cleared a path to China’s data centers, where Nvidia’s A100s still dominate.
Sony’s prototype AI controller repurposes existing DualSense hardware—adaptive triggers and haptics—while IGN’s demo carefully avoids mentioning real-world latency or developer access.
Claude, ChatGPT, and Nvidia’s G-Assist can now scan your Stream Deck layout and press buttons—if they guess your intent correctly.
MFG 6X doesn’t just double down on AI frames—it sextuples them, turning NVIDIA’s DLSS from a performance boost into a full-blown rendering revolution.
Nvidia's $2 billion Marvell investment isn't a financial play — it's a strategic splice that rewires the AI supply chain.
Rapidus’ first 1.4nm customer isn’t a smartphone giant or hyperscaler—it’s Fujitsu, betting on an AI inference chip Japan’s own fabs can’t yet mass-produce.
NVIDIA’s latest CERAWeek reveal treats AI data centers as grid assets, but the technical details are conspicuously absent.
Nvidia's DLSS 4.5 introduces Dynamic Multi-Frame Generation with adaptive 1x-6x frame scaling, but simultaneously erected a hardware wall that locks out RTX 4090 owners and the entire Ada Lovelace generation.
South Korean AI chip startup Rebellions just banked $400 million in a pre-IPO round at a $2.3 billion valuation, making it one of the more credible challengers to Nvidia's stranglehold on AI accelerators.
While AI teams scramble for NVIDIA H100 allocations, ScaleOps has raised $130 million to solve a quieter crisis: the estimated 40-50% of cloud GPU capacity that sits idle or poorly utilized.
Senior Chinese semiconductor executives told a Beijing forum last week that the country’s AI data center chips trail global leaders by up to a decade.
Leaked Nvidia slides suggest could let devs ship games with ‘cinematic quality’ at 1/10th the file size—if your GPU can handle it.
NVIDIA’s latest robotics push isn’t just a tech demo—it’s a roadmap for AI’s role in gaming’s future.
Nvidia’s FrameSync fixes a long-standing A/V desync issue, cutting one of cloud gaming’s last major frustrations down to a driver-level tweak.
Intel’s cancellation of the Core Ultra 9 290K Plus leaves AMD’s 208MB cache monster without a high-end rival.
The Nuclear Regulatory Commission’s average licensing timeline for new reactors still hovers around —a delay Nvidia and Microsoft’s AI partnership claims it can dent.
Iran's conflict costs the shipping industry €340 million daily, with €4.6 billion in additional fuel costs since the start of the conflict.
Nvidia’s GTC just became the first major tech conference to showcase four competing quantum systems running on the same GPU-backed framework.
Two sanctioned PLA-affiliated universities acquired Nvidia A100-powered servers in 2025–2026 despite US export bans.
Leaked docs show Anthropic’s next model boasts scores 30% above Opus—but details on real-world use remain scarce.
Google’s latest voice model promises ‘real-time’ multimodal interactions—but developers know demos rarely survive contact with reality.
Mistral’s latest open-source speech model squeezes into 128MB of RAM—small enough for a but untested in noisy subway tunnels.
New Blood Interactive’s CEO just turned Nvidia’s DLSS 5 into a referendum on AI’s role in game art.
A new arXiv paper claims LLMs trained at criticality reason like physical systems, but the evidence relies on synthetic benchmarks, not shipped products.
Google’s TurboQuant shrinks AI memory by 6x in lab tests, but the real test is whether it escapes the demo stage.
Arm debuts 136-core AI chip, shifting from licensing to silicon.
Intel’s Arc Pro B70 and B65 GPUs pack 32GB of RAM—double the capacity of earlier Battlemage teases—while undercutting rivals on price for AI inference workloads.
New Blood’s CEO wants developers to \"stop collaborating\" with NVIDIA, framing DLSS 5 as a corporate weapon rather than a tech upgrade.
Arm has operated under a licensing-only model for 35 years, supplying chip designs to companies like Apple and Nvidia.
Google Research has unveiled TurboQuant, an algorithm that compresses large language model key-value caches to a record 3 bits without accuracy loss — directly attacking the memory bottlenecks choking today's inference pipelines.
Super Micro's co-founder, Charles Liang, has been charged with smuggling AI chips to China, in a scandal that involves several billions of dollars.
Microsoft and Nvidia's AI partnership cuts nuclear plant construction timelines by decades.
LG's new LCD panel saves juice by dynamically adjusting refresh rates down to 1Hz.
Meta will deploy Arm’s first in-house CPU in its AI datacenters before year-end, marking the chip designer’s shift from licensing to production.
NVIDIA’s Jim Fan calls the LiteLLM malware a ‘new class of attacks’—one that doesn’t just steal credentials but turns Kubernetes clusters into propagation engines.
SK hynix’s $8 billion ASML order is the largest in semiconductor history, targeting 30 EUV machines for HBM and advanced DRAM by 2026.
Sony shuts Bluepoint Games, silencing a 20-year legacy.
A British clinical trial participant has controlled *World of Warcraft* for 100 days using only his thoughts—but the data is still just one patient deep.
Arm Holdings, for decades synonymous with licensing processor architectures, is now manufacturing its own semiconductors — a direct assault on the very business model it helped create.
Texas Instruments and NVIDIA are combining AI compute and deterministic control for robots.
Nvidia RTX 40 and 50 series owners can use Clear XR for OpenXR PC VR games.
Huawei's Atlas 350 arrives boasting 1.56 PFLOPS of FP4 compute, but that figure quickly dims once you peer behind the curtain of synthetic benchmarks and translate it into actual deployment conditions.
Nvidia's AI chip exports to China are under scrutiny, with US senators calling for the suspension of export licenses.
Tencent’s GDC showcase revealed AI animation tools that automate workflows but fail to address what makes games fun.
Musk's $25B Terafab aims to produce billions of chips, bridging Earth's silicon gap.
Jensen Huang called the claim that AI will destroy software 'ridiculous' during a public address.
Nvidia’s stock jumped 3% after Huang’s remarks, proving AGI’s first real application is investor hype.
AMD’s Helios platform and MI500 GPUs aim to unseat NVIDIA’s AI dominance by 2027, but the battle hinges on software, not just silicon.
Gimlet Labs' $80 million Series A funding round is a significant development in the AI industry, with the company's technology enabling AI inference to run simultaneously across multiple hardware platforms.
A new Adobe-NVIDIA research paper achieves real-time rendering speeds that should require a supercomputer—not a browser tab.
NVIDIA’s OpenShell framework arrives as autonomous AI agents begin rewriting their own code mid-task—a feature that’s also a liability.
Capcom’s latest AI statement is less a tech breakthrough and more a masterclass in corporate hedging.
NVIDIA’s Alpamayo AI promises end-to-end perception for self-driving cars, but its GitHub repo reveals more benchmarks than real-world miles.
Nvidia’s engineers now face an annual AI token quota worth roughly half their salary—or risk obsolescence.
AWS’s Trainium lab tour was less about silicon and more about selling a $50 billion vision to OpenAI, Anthropic, and Apple.
Google’s Gemini-powered games at GDC 2026 drew shrugs, not applause, proving AI’s gaming moment is still missing a killer app.
NVIDIA’s open-weight Nemotron-Cascade 2 hits top-tier AI benchmarks with just 10% of its 30B parameters active—is ‘intelligence density’ more than marketing?
Sony’s lead PlayStation architect just confirmed AI frame generation is coming—but don’t expect it to turn 30fps into 60fps overnight.
Nvidia’s latest upscaling tech has gamers describing its output as "uncanny and off-putting," a phrase that’s become shorthand for its unsettling visual quirks.
AMD’s latest AI push arrives with a new buzzword—*Agentic*—but zero concrete details on hardware or release timelines.
AMD’s latest FSR update quietly closes the gap between PC and PS5 Pro ray tracing without a single hardware change.
The indictment tied to Super Micro alleges top-tier Nvidia GPUs were rerouted toward China through dummy servers and hardware identity manipulation.
Microsoft’s AI data centers now use more electricity than the entire country of Croatia.
Andreessen Horowitz just bankrolled $43 million for a startup teaching AI to navigate office politics before humans do.
Nvidia's DLSS 5 is no longer just about performance — it's become an experiment in algorithmic vandalism of visual style.
Basecamp Research’s AI-driven partnership will sequence 100 million genomes—enough to rewrite the known boundaries of genetic diversity by two orders of magnitude.
China is running a state-level macro experiment: thousands of solo founders get government GPU clusters and subsidized cloud credits, while the West still bets on traditional venture capital.
NVIDIA has released OpenShell, an open-source runtime environment designed to let autonomous AI agents execute code and access system resources without compromising the entire system.
NVIDIA's DLSS 5 has become the latest battleground in gaming's ongoing culture war between traditional artistry and AI acceleration.
The telecom industry isn't merely adopting AI—it's fundamentally redesigning where that intelligence resides, converting hundreds of thousands of existing nodes into edge inference platforms.
OpenAI launched GPT-5.4 mini and nano, two models that push image processing pricing into territory cheaper than the electricity powering the server.
Jensen Huang didn't just unveil new silicon at GTC — he set a trillion-dollar order target through 2027, a benchmark that will determine whether Nvidia maintains dominance or faces its first serious friction between ambition and reality.
A new AWS partnership will funnel OpenAI’s models into classified Pentagon environments within months.
Nvidia's GTC 2026 didn't unveil a new star chip — it unveiled an entire galaxy: seven distinct processors in a modular system that shifts focus from individual GPUs to complete AI factories in racks.
Roche is deploying 3,500 NVIDIA Blackwell GPUs across drug discovery and manufacturing.
Rubin Ultra is not just a larger GPU package; it signals that AI infrastructure is increasingly judged by memory, interconnect and whole-rack power design.
At GTC, Jensen Huang framed DLSS 5 as a shift beyond technical upgrade: instead of merely smoothing pixel edges, the technology now generates visual elements in real time, becoming co-author of every game's artistic expression.
Most agricultural robots grab first and analyze later. This one flips the script.
Nvidia's latest DLSS 5 demo revealed how real-time neural rendering can override original character design, subordinating it to narrow AI-generated beauty ideals.
Nvidia’s Vera Rubin Space Module turns orbital AI from a payload feature into a mission-architecture question: what should a spacecraft compute before it ever downlinks?
A modder installed Linux on PlayStation 5 and ran Grand Theft Auto V at 60fps with ray tracing enabled — a trick that only works on outdated firmware versions.
Meta's Nebius contract is worth up to $27 billion over five years, with $12 billion for reserved capacity and up to $15 billion for additional compute.
Meta’s AI training clusters already spend 40% of their budget moving data between GPUs—now they’re betting optical cables can cut that waste.
ByteDance reportedly plans to use a Malaysia-based cluster with about 500 Nvidia Blackwell systems, turning US export controls into a question of compute access rather than chip shipments alone.
TSMC's N3 node, originally built for flagship mobile and PC silicon, is now effectively an AI-exclusive zone — with smartphones demoted to overflow buffers.
Ukraine's military is openly sharing battlefield data with allied partners to train AI systems for autonomous drones—a tacit admission that today's most advanced models still need real-world edge cases to become reliable.
Meta unveiled four generations of custom inference chips, the clearest signal yet that tech's biggest players refuse to keep paying Nvidia's toll for every bit that passes through their networks.
Nemotron 3 Super combines 120B parameters, Mamba, and MoE for a new open-agent push.
A long record of solar vibration measurements suggests the Sun’s interior changes from cycle to cycle before those shifts become obvious at the surface.
Nvidia's $26 billion commitment to open-weight AI models, disclosed in SEC filings, marks its most aggressive software offensive since CUDA launched two decades ago.
Quantum chips finally model a twisted Möbius molecule—proving they can crack chemistry’s toughest simulations.
PETRUSHKA is the first mental-health AI to prove itself in a randomized clinical trial: patients were 40 percent less likely to drop their antidepressant regimen within eight weeks.
NVIDIA’s Nemotron-Terminal turns data engineering into the real moat for terminal agents.
NVIDIA and Thinking Machines Lab have converted their strategic partnership into concrete infrastructure worth at least one gigawatt of next-generation Vera Rubin systems.
ABB’s RobotStudio now integrates NVIDIA Omniverse to simulate factory floors with unprecedented accuracy—but real-world constraints may temper the hype.
Evo 2 is an open biological AI model trained on roughly 9 trillion DNA base pairs.
Bungie's Marathon demo drops players intoa stress test of reflexes where unpredictable NPC robotshunt you down rather than fight fair.
Micron’s first 256GB LPDDR5X samples arrive as NVIDIA’s GB200 and AMD’s Turin push RAM needs higher.
