Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

The new initiative, known internally as “TorchTPU,” aims to remove a key barrier that has slowed adoption of TPU chips by ma ...

Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead with Meta's collaboration.

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Google’s new TPU generations, including Trillium and Ironwood, are emerging as the strongest challenge yet to Nvidia’s GPU ...

Google and Meta have reportedly joined hands to challenge Nvidia in the AI race through software and hardware development.

Google and Meta launch TorchTPU to challenge Nvidia’s AI dominance. TPU v7 Ironwood hits 42.5 Exaflops as Nvidia market cap ...

The clearest evidence: According to a recent industry analysis, OpenAI secured roughly a 30% discount on its latest Nvidia hardware order by raising the credible option of shifting more workloads to ...

Enabling Dataflow Execution on GPUs with Spatial Pipelines” was published by researchers at NVIDIA and the University of ...