NVIDIA
NVIDIA designs the GPUs that train and run virtually every major AI model, from the H100 to the Blackwell generation. Its CUDA software stack and data-center chips made it one of the most valuable companies on Earth and the bottleneck of the AI boom. All our NVIDIA coverage: chips, earnings and ecosystem news.
Microsoft unveils new Maia chips, and Musk wants to test up to 10 designs a year
Microsoft unveiled new Maia chips to rely less on outside suppliers, while Elon Musk wants to test up to ten new chip designs a year.
Cisco and Nvidia are building optical networking for data centers where hundreds of thousands of GPUs work as one
Cisco and Nvidia are developing next-generation optical networking for AI data centers, aiming to link hundreds of thousands of GPUs while cutting power use and the…
AMD Shows Helios AI: A Double-Wide Rack Built for a Record Number of Accelerators
AMD unveiled a concept for Helios AI, a turnkey AI platform in a double-wide rack. Previously disclosed specs list 72 Instinct accelerators and about 31 TB of HBM4…
Bloomberg Breaks Down the Cost of an AI Data Center in Texas
Nvidia in talks to buy Reflection AI or raise its stake, FT reports
AI Solved 370 Math Problems, Mathematicians Panic, Musk Seeks $40 Billion: This Week's Highlights
UNITAS: A 3D World Model for Robots Claims the Lead on Several Benchmarks
Runpod shows how to run diffusion models on JAX in GPU pods
Runpod has published a guide to running diffusion models on JAX, from setting up the environment in a GPU pod to a first inference run, with no local hardware to…
UK to strengthen cyber defenses and demand more safety from AI labs
AI minister Kanishka Narayan will say Britain cannot rely on tech companies alone for model safety, and will announce stronger national cyber defenses.
RunPod: 4 A100 GPUs in the cloud cost $124 000 less than on-prem over 3 years
Runpod shows how to build your own Vlad Diffusion template for cloud GPUs
Runpod Shows How to Spin Up a Serverless GPU Worker from a GitHub Template in Three Steps
GPU Shortage: CEOs Split Capacity Personally, Startups Sign Multi-Year Contracts
Stanford Online Posts Lecture 8 of AA274A on Robot Sensors and Computer Vision
Stanford Online has published a lecture by Marco Pavone from the 2019 course: robot sensors and an introduction to computer vision. The Principles of Robot Autonomy…
Stanford posts Pavone's motion planning lecture: RRT, PRM and FMT*
Lecture 7 of Stanford's 2019 AA274A course is now on YouTube. Marco Pavone covers sampling-based motion planning, from PRM and RRT to the asymptotically optimal…