Sources: Google is working on a new initiative to make its AI chips run PyTorch better and is working closely with Meta, as the two discuss Meta using more TPUs
Alphabet's (GOOGL.O) Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch …
Soumith Chintala, who co-created the PyTorch ML framework at Meta and left the company earlier this month, joins Mira Murati's Thinking Machines Lab
Pranav Dixit / Business Insider :
SemiAnalysis launches InferenceMAX, an open-source benchmark that automatically tracks LLM inference performance across AI models and frameworks every night
vendor-neutral suite runs nightly and tracks performance changes over time Tae Kim / Barron's Online : Nvidia Touts Software Advantage in Beating Rivals Like AMD Dion Harris / NVIDIA : NVIDIA Blackwel...
JFrog finds ~100 malicious PyTorch and Tensorflow Keras models on Hugging Face, some of which can execute code on users' machines to give attackers a backdoor
Q&A with AMD CEO Lisa Su on competing with Nvidia's H100, PyTorch, AI regulation, the US CHIPS Act, diversifying from TSMC, the global supply chain, and more
AI is just another HPC app. Broadly speaking: same math, same skillset, same infrastructure. And even more so in the future. — https://www.theverge.com/... Forums: r/hardware : AMD CEO Lisa Su on ...
Q&A with AMD CEO Lisa Su on competing with Nvidia's H100, PyTorch, AI regulation, the US CHIPS Act, diversifying from TSMC, the global supply chain, and more
At this year's Code Conference, the CEO of one of the world's largest computer chip companies discusses competing with Nvidia's leading GPU …
Meta outlines its RSC supercomputer and its work on two chips: MTIA for accelerating AI training, set for release in 2025, and MSVP, for video processing needs
#riscv Mikael Strandlund : Meta's Engineering and Infrastructure teams are excited to host AI Infra @Scale, a one-day virtual event featuring a range of speakers from Meta … Roman Levenstein : I'm thr...
An overview of the ML software development industry over the past decade: a decline of Nvidia's CUDA monopoly, PyTorch overtaking Google's TensorFlow, and more
the CUDA monopoly is nowhere close to being broken and CUDA will continue to be the key dependency for PyTorch. As a data point, Triton isn't the first rally — multiple vendors use the XLA compiler as...
PyTorch identifies a malicious dependency using its “torchtriton” library name, warning nightly version users to uninstall; the hacker claims ethical research
PyTorch identifies a malicious dependency that uses its “torchtriton” library name, warning users to uninstall the framework; the hacker claims ethical research
PyTorch has identified a malicious dependency with the same name as the framework's ‘torchtriton’ library.