Every time a new chip ships and a CEO takes the stage to announce it, there is a question that does not get asked from the ...

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 ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not ...

Overview Present-day serverless systems can scale from zero to hundreds of GPUs within seconds to handle unexpected increases ...

During the company’s third-quarter earnings call on Wednesday, Huang said that CUDA, its parallel computing and programming model, now spans the entire AI model landscape. “We run OpenAI, we run ...