Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

On one hand, Nvidia is bolstering its technological advantage with fresh architectures and accelerated product cycles.

ROCm 7 support ZLUDA is back again, still trying to do the unthinkable and make CUDA code run properly on non-Nvidia GPUs. The open-source project has picked up support for AMD’s ROCm 7 series, ...

Key changes make GPUs easier to program, more efficient, and harder for rivals to replace. New features enhance AI development, further locking developers into Nvidia's ecosystem. Nvidia ( NVDA) had ...

Nvidia is facing serious scrutiny from regulators about its blistering rise to power and concerns over its software.

Nvidia has just made a significant change: you can now run CUDA on RISC‑V processors. Previously, CUDA needed x86 or Arm CPUs to handle system tasks and coordinate GPU work. Now, RISC‑V cores can step ...

With Groq Cloud continuing and key staff moving to NVIDIA, the $20B license promises lower latency and simpler developer ...

Nvidia has licensed Groq’s AI inference-chip technology in a reported $20B deal, signaling a strategic shift as AI moves from ...

This deal directly challenges Google’s TPUs, positioning NVDA to dominate both AI training and inference with ...

Physical AI is the next multi-trillion dollar wave. Discover why the widening chip market means both Nvidia and Broadcom are ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...