What does it take to support new AI hardware within PyTorch?
In our latest blog, contributors from
@IBM share how they extended PyTorch Inductor for the IBM Spyre Accelerator, leveraging PyTorch's compiler to address challenges in data movement, memory management, and work distribution while optimizing for Spyre's unique architecture.
Read on for a look at how PyTorch's extensibility helps developers bring support for new hardware to the framework: