Posted April 2Apr 2 At Google Cloud, we’re continuously working on Google Kubernetes Engine (GKE) scalability so it can run increasingly demanding workloads. Recently, we announced that GKE can support a massive 65,000-node cluster, up from 15,000 nodes. This signals a new era of possibilities, especially for AI workloads and their ever-increasing demand for large-scale infrastructure.In this blog post, we explore a benchmark that simulates these massive AI workloads on a 65,000-node GKE cluster. As we look to develop and deploy even larger LLMs on GKE, we regularly run this benchmark against our infrastructure as a continuous integration (CI) test. We look at its results in detail, as well as the challenges we faced and ways to mitigate them...View the full article
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