Google makes Pathways generally available on Google Kubernetes Engine

The internal system behind Gemini training is now a core runtime for Google's Cloud AI Supercomputer, open to outside customers on GKE Google has made Pathways on Cloud generally available on Google Kubernetes Engine (GKE). Google is positioning it as a core runtime for its Cloud AI Supercomputer. Pathways is the system Google built for training its own large models, including Gemini. For years it stayed in-house. Now outside customers can rent the same plumbing. What Google actually shipped According to the research findings, general availability arrived on November 9, 2026. The release targets teams running large AI workloads on TPUs, Google’s custom chips built for machine learning. The headline capability is scale with simplicity. Pathways lets a single JAX client orchestrate workloads across hundreds to thousands of TPU chips. JAX is a machine learning framework popular with researchers. The practical upshot: one program can steer a whole fleet of chips, so engineers don’t have to babysit each machine separately. Pathways covers several types of work, including: Batch training and inference, the big scheduled jobs that build and run models. Interactive workloads, where develop...