NVIDIA has released an open-source GPU framework for simulating medical devices and anatomy, aiming to reduce data and testing bottlenecks in healthcare robotics.

NVIDIA has open-sourced a GPU-based medical physics simulator to help robotics teams train, test and validate systems before costly hardware trials.

Gamers say Nvidia is abandoning them as AI-fueled DRAM shortages push the company to prioritize Blackwell and Rubin AI chips over GeForce gaming GPUs.

Rapid AI data center expansion is straining insurers and private capital markets, with GPU-collateralized debt and concentrated asset risks raising alarm.

Meta and AMD announced a major expansion of their strategic partnership, committing to deploy 6 gigawatts of AMD GPU infrastructure for AI workloads, diversifying Meta's compute stack just days after pledging millions of Nvidia GPUs.

Meta and NVIDIA announce massive multiyear partnership deploying millions of Blackwell and Rubin GPUs, Grace CPUs, and Spectrum-X networking for AI infrastructure.

NVIDIA's Blackwell GB200 NVL72 achieves 10x better tokenomics than Hopper. Leading AI providers adopt 72-chip configuration.

Intel CEO Lip-Bu Tan announced the company has hired a new chief architect to lead GPU development, positioning Intel to compete in the AI accelerator market dominated by Nvidia and AMD. Tan also warned that memory chip shortages will persist until 2028, creating challenges for AI infrastructure expansion.