PyTorch/XLA provides the integration layer between the PyTorch framework and XLA (Accelerated Linear Algebra), Google’s compiler for TPUs and other accelerators. It allows PyTorch users to execute their existing models on Cloud TPU hardware without significant code changes. The project supports distributed training across multiple TPUs and includes examples for workloads like Stable Diffusion.