NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...

Competition in the GPU industry ultimately comes down to developer ecosystems. Against that backdrop, Moore Threads' inaugural MUSA Developer Conference (MDC 2025) on December 20-21 marked a clear ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

Nvidia Corporation has launched its largest CUDA update in two decades, signaling a strategic response to open-source competition from Triton. The NVDA update introduces a tile-based programming model ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with CUDA Tile, which the company said introduces a virtual instruction set for ...

CUDA allowed NVIDIA GPUs to do what CPUs never could—fast, parallel computation for AI and machine learning. Analysts say this breakthrough laid the foundation for modern AI applications. From ...

The effort will target workloads such as chip design and verification, molecular simulations and electromagnetic analysis. Credit: Sundry Photography/Shutterstock.com ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems The upgraded ...

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...