Google Kubernetes Engine (GKE) - January 21st, 2025 [Feature]
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## Feature
You can now use A3 Ultra VM powered by NVIDIA H200 Tensor Core GPUs with our new Titanium ML network adapter, which delivers non-blocking 3.2 Tbps of GPU-to-GPU traffic with RDMA over Converged Ethernet (RoCE).
A3 Ultra VMs are generally available in the `a3-ultragpu-8g` machine type and can be used through both the modes of operation in Google Kubernetes Engine (GKE):
* GKE Standard supports A3 Ultra with GPUDirect RDMA on GKE version 1.31.4-gke.1183000 or higher. To get started, see [Create a Hypercompute Cluster with GKE with default configuration](https://cloud.google.com/ai-hypercomputer/docs/create/gke-ai-hypercompute).
* GKE Autopilot supports A3 Ultra without GPUDirect RDMA on GKE version 1.31.4-gke.1183000 or higher. To get started, see [Deploy GPU workloads in Autopilot](https://cloud.google.com/kubernetes-engine/docs/how-to/autopilot-gpus). A3 Ultra with GPUDirect RDMA is not yet supported on GKE Autopilot.
What else is happening at Google Cloud Platform?
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Managed I/O now supports automatic upgrades for supported I/O connectors
about 24 hours ago
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