Google releases Pathways GA for distributed training

Google announced the General Availability of Pathways on Google Cloud Platform, a distributed system designed to train large models like Gemini by addressing coordination challenges in non-uniform training workloads. Pathways uses a single Python client to describe computations as dataflow graphs, allowing a distributed runtime to handle tensor placement, asynchronous scheduling, and resource mapping across virtual devices. This approach enables MPMD execution models, elastic training that remaps work around host failures, and cluster capacity sharing among multiple clients. Open article →