GPUs, data centres, energy and compute.
President Trump on Thursday authorized a crack down on companies suspected of diverting Nvidia's advanced AI chips to China for the third time this year — even consulting Elon Musk before giving the go-ahead. One…
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a…
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a…
Fractile has now become one of the top-funded players in the race for purpose-built AI chips.
Treasury Secretary Scott Bessent confronted Commerce Secretary Howard Lutnick over a failure to place Nvidia customer Megaspeed on a list of companies that pose national security concerns, sources familiar told Axios…
Neoclouds such as CoreWeave, Nebius and IREN have come under scrutiny this month as investors assessed the sustainability of the AI trade.
As teams deploy and scale AI workloads using NVIDIA Dynamo, Kubeflow, or Slurm, tracking what actually runs requires visibility beyond the platform...
Marktechpost Launches GPU Leaderboard and the Deploy It Chrome Extension
Anthropic claims it used AI itself to breach Nvidia's CUDA moat. The company's in-house model Mythos reportedly ported Claude to AMD GPUs in just three days, with almost no human intervention. Anthropic now runs Claude…
181GW of gas-fired capacity proposed for sites in US and Europe because of delays in connecting to national grids, says reportDevelopers of AI datacentres plan to build on-site climate-destroying gas power stations on a…
Google's new tensor processing units (TPUs) broaden its chip portfolio to more use cases: confidential model training and more memory capacity.
NVIDIA is announcing two open source projects for building and operating managed Kubernetes services on GPU infrastructure—NVIDIA Kubernetes Engine (NVKE) and...
NVIDIA Snapshot, a new open-source component of the NVIDIA DSX AI Factory Platform, makes initialized GPU workloads reusable across inference...
Ukraine competes with Russia and data centers for China’s optical fiber supply.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. As voters went to the polls across the US last week, I was in Ashburn, Virginia…
AMD has admitted a bug within its External Events Utility is wearing out SSDs, and promises a fix.
Google added TPU 8i Max and TPU 8tx to its eighth-generation TPU lineup. TPU 8i Max packs 2 TPU 8i chips per package for long-context agents. TPU 8tx adds hardware confidential inference. Bloomberg reports 2027…
NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models…
When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an...
Amazon SageMaker Inference now supports GPU partitioning with NVIDIA Multi-Instance GPU (MIG), which divides one GPU into hardware-isolated partitions so you can run a different model in each or take a right-sized…
The artificial intelligence company pledged to be more collaborative with the communities where it is building its data centers.
One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show normal utilization, leaving operators to...
In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an...
The AI industry is scrambling to repackage a $10 trillion infrastructure buildout to appease a hostile electorate that overwhelmingly voted to restrict data center construction in ballot measures across the country.It's…
As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards...
Texas is the fastest-growing data center market in the US and ground zero for Big Tech’s largest AI buildouts. But the blue wave that swept the Lone Star State may jeopardize that position. Democrat James Talarico won…
As artificial intelligence and accelerated computing continue to push the boundaries of what's possible, the latest NVIDIA CUDA release arrives to unlock...
Russia tries to fix exposed digital infrastructure as data center war backfires.
Demand for advanced chips is rising. The processes to build them are getting more complex. And the margin for error is shrinking. For engineers, understanding how a process change will behave, how a material will…
Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers, kernels, runtimes, networking,...
Amazon's purpose-built Trainium AI chip helps power the diffusion models that deliver NBA on Prime’s breakthrough highlight technology.
Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more workloads...
AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands of GPUs, NVIDIA Spectrum-X Ethernet...
Cambridge researchers have created a groundbreaking $10 optical sensor that delivers the precision of laboratory equipment in a device small enough for wearable technology. It identified foods, plastics, and medicines…
GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI...
Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams...
TorchNeuron lets developers run their existing AI code on AWS Trainium chips with virtually no changes, reducing the friction to adopting new hardware.
Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex...
Today’s engineers face an unprecedented acceleration in AI hardware complexity, as explained in the recent research article “Revisiting Edge AI: Opportunities and Challenges.” The article examines the rapid growth of…
We explain how Ai2’s new GPU scheduler uses time budgets, fair-share allocation, and time-slicing to prioritize high-impact research, shorten queue waits, and keep GPUs busy.
If there is any place that would be off-limits to AI, the control room of a nuclear power plant certainly sounds like one. The nuclear industry is historically cautious and risk averse—understandable given the possible…
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.