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PyTorch

Monarch is a distributed programming framework for PyTorch that exposes large GPU clusters through a simple Python API, making distributed AI training feel like local development. Since its October 2025 launch, major updates include first-class Kubernetes support with just-in-time pod provisioning, AWS EFA and AMD ROCm RDMA backends with a unified RDMA API, distributed SQL telemetry via DataFusion, OpenTelemetry integration, a 100x smaller pip wheel with 8x faster startup, and removal of the torch pip dependency. Monarch is also optimized for agentic workflows, enabling AI agents to manage, debug, and iterate on distributed training jobs efficiently. Collaborations with SkyPilot, ByteDance's VeRL team, and AMD have extended Monarch's reach across clouds and hardware platforms.

Monarch: an API to your supercomputer – PyTorch