Meta launches AI software tools to ease switching between Nvidia, AMD chips

Meta launches AI software tools to ease switching between Nvidia, AMD chips

 

 

Facebook parent Meta Platforms Inc said on Monday it has launched a new set of free software tools for artificial intelligence applications that could make it easier for developers to switch back and forth between different underlying chips.
 
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Meta's new open-source AI platform is based on an open-source machine learning framework called PyTorch, and can help code run up to 12 times faster on Nvidia Corp's flagship A100 chip or up to four times faster on Advanced Micro Devices Inc's MI250 chip, it said.
 
But just as important as the speed boost is the flexibility the sofware can provide, Meta said in a blog post.
 
Software has become a key battleground for chipmakers seeking to build up an ecosystem of developers to use their chips. Nvidia's CUDA platform has been the most popular so far for artificial intelligence work.
 
However, once developers tailor their code for Nvidia chips, it is difficult to run it on graphics processing units, or GPUs, from Nvidia competitors like AMD. Meta said the software is designed to easily swap between chips without being locked in.
 
"The unified GPU back-end support gives deep learning developers more hardware vendor choices with minimal migration costs," Meta said in its blog post.
 
Nvidia and AMD did not immediately return requests for comment.
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