TorchTPU enables running PyTorch natively on Google’s Tensor Processing Units (TPUs), enhancing performance and hardware portability for large-scale machine learning models. It addresses the challenges of distributed systems by supporting clusters of up to 100,000 chips.

Multi-agentic software development presents challenges similar to those found in distributed systems. New programming languages, including a choreographic language for multi-agent workflows, are being explored to address these coordination issues among large language models (LLMs).