@PyTorch
Big update to #Monarch, our distributed programming framework for #PyTorch! Since its launch at the #PyTorchCon NA in October, the team has shipped Kubernetes support, RDMA on AWS EFA and AMD ROCm, distributed SQL-based telemetry, a terminal UI, and dashboards for live job inspection, an optimized build, and more. Monarch is designed to make programming a supercomputer feel like writing code on your laptop, and that simplicity extends to AI agents, too. With SQL-queryable distributed state, fast code syncing via RDMA filesystems, and a single Python program controlling the full cluster, agents can (re) launch jobs, debug, and iterate on changes easier than ever. Check out the blog for the full rundown. Today at PyTorch Conference Europe: Lightning Talk: Monarch: An API To Your Supercomputer - Marius Eriksen, Meta: 10:35 - 10:45 CEST š Latest blog from the PyTorch Team at @Meta: https://t.co/vS8ixVzxfc #OpenSourceAI