Cloud Pathways, a distributed ML runtime, is GA
Today, we are thrilled to announce the general availability (GA) of Cloud Pathways (Pathways on Cloud) on Google Kubernetes Engine (GKE) as a core runtime pillar of the Google Cloud AI Hypercomputer.
Originally engineered by Google DeepMind to train and serve Google's frontier models — including Gemini — Pathways is our distributed machine-learning runtime designed for massive, heterogeneous accelerator fleets. In fact, over the last 90 days alone, leading AI companies and global enterprises have processed more than 130 million Cloud TPU chip-hours using Pathways on GKE, across a broad range of TPU generations.
With Cloud Pathways, every Google Cloud customer can use the same single-controller runtime, colocated Python sidecars, and elastic fault tolerance that power Google's largest AI workloads. We are also pleased to announce a Preview integration with Cluster Directorto extend Cloud Pathways to Slurm clusters, supporting unified multi-slice JAX execution, elastic training, and...
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