I wanted AI help, not a round trip for my private documents.

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

As the AI arms race intensifies and the costs of vendor lock-in rise, a new class of challengers is stepping into the ring to loosen Nvidia’s grip on AI computing. Legacy tech companies such as AMD ...

What does a $20 billion acquisition mean for the future of AI hardware? That’s the question on everyone’s mind as NVIDIA, a titan in the tech world, officially acquires Groq, a rising star in AI ...

Lately, despite my setting in the Device Manager, where I've disabled it, every time I update my Nvidia drivers, it enables Nvidia HD Audio again and this occasionally wreaks havoc. Last night I was ...

On Monday, Nvidia announced that it has acquired SchedMD, the company behind Slurm, an open-source workload manager widely used to schedule and manage large-scale computing jobs across data centers, ...

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 ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial advancement to the platform since its release about 20 years ago. "This exciting ...

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 ...

Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering, tightening ...

Nvidia’s Blackwell systems sales are “off the charts” according to CEO Jensen Huang, but analysts see fast growth for custom AI chips, known as ASICs. These smaller, cheaper, more narrowly focused AI ...