This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...

While the eyes of the tech world were firmly affixed on Nvidia last week for its GTC event and the unveiling of its new Groq ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory ...

Nvidia is turning data centers into trillion-dollar "token factories," while Copilot and RRAS remind us that security locks ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

The conversation around AI compute often begins with shortages. GPUs are expensive, cloud capacity is limited, and smaller teams struggle to compete with companies that can reserve massive amounts of ...

Florida's Python Elimination Program pays certified hunters to remove the invasive snakes from the Everglades. Burmese pythons have caused a severe decline in native small mammal populations in South ...

IREN (NasdaqGS:IREN) is committing to over 50,000 additional NVIDIA B300 GPUs and a $6b at the market equity program. This combination puts both growth ambitions and potential dilution squarely in ...

$ CUDA_VISIBLE_DEVICES=0 python train.py --args 1 2 3 ~~~~~ this is a traditional way to run a function on a GPU. but, it's hassle to check the available GPU and set the CUDA_VISIBLE_DEVICES ...