GPU kernel programming is the hardest skill in AI engineering. Most engineers treat the GPU like a black box. Tokens go in. Latency comes out. The kernel is someone else's problem. Until it isn't.

Back in 2000, Ian Buck and a small computer graphics team at Stanford University were watching the steady evolution of computer graphics processors for gaming and thinking about how such devices could ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

NVIDIA has published the source code of its Linux kernel modules for the R515 driver, allowing developers to provide greater integration, stability, and security for Linux distributions. The source ...

NVIDIA has open-sourced its Linux GPU kernel drivers for products made and released after 2018. This means GPU functionalities like the clock and thermal management are now available for tweaking.

The big picture: Nvidia first released an open-source Linux GPU kernel driver in 2022 for cards based on the Turing architecture and newer. The company has since taken significant strides towards ...

In an unprecedented move, Silicon Titan Nvidia has made the GPU kernel drivers for Linux open-source, paving the way for wider adoption of team green’s hardware beyond Windows. Nvidia is undoubtedly ...

Windows 10's Windows System for Linux (WSL) will soon let developers run Linux GUI apps, while Linux guests on Windows will soon gain access to GPU power for hardware acceleration. WSL is currently ...