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GKE AI/ML
| https://docs.cloud.google.com/kubernetes-engine/docs/integrations/ai-infra |
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Overview
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Overview
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Console
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| Introduction to AI/ML workloads on GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning |
| Overview | https://cloud.google.com/kubernetes-engine/ai-ml/explore-gke-docs |
| Main GKE documentation | https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engine-overview |
| GKE AI/ML documentation | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning |
| GKE networking documentation | https://cloud.google.com/kubernetes-engine/docs/concepts/explore-gke-networking-docs-use-cases |
| GKE security documentation | https://cloud.google.com/kubernetes-engine/docs/concepts/security-overview |
| GKE fleet management documentation | https://cloud.google.com/kubernetes-engine/fleet-management/docs |
| Select how to obtain and consume accelerators on GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/consumption-option |
| GKE AI/ML conformance | https://cloud.google.com/kubernetes-engine/docs/concepts/gke-ai-conformance |
| Why use GKE for AI/ML inference | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning/why-use-gke-ai-ml-overview |
| Simplified autoscaling concepts for AI/ML workloads in GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning/understand-autoscaling |
| Quickstart: Serve your first AI model on GKE | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-open-models-terraform |
| About AI/ML model inference on GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning/inference |
| Analyze model serving performance and costs with GKE Inference Quickstart | https://cloud.google.com/kubernetes-engine/docs/how-to/machine-learning/inference/inference-quickstart |
| Expose AI applications with GKE Inference Gateway | https://cloud.google.com/kubernetes-engine/docs/concepts/about-gke-inference-gateway |
| Overview | https://cloud.google.com/kubernetes-engine/docs/best-practices/machine-learning/inference |
| Choose a load balancing strategy for inference | https://cloud.google.com/kubernetes-engine/docs/concepts/machine-learning/choose-lb-strategy |
| Autoscale inference workloads on GPUs | https://cloud.google.com/kubernetes-engine/docs/best-practices/machine-learning/inference/autoscaling |
| Autoscale LLM inference workloads on TPUs | https://cloud.google.com/kubernetes-engine/docs/best-practices/machine-learning/inference/autoscaling-tpu |
| Optimize LLM inference workloads on GPUs | https://cloud.google.com/kubernetes-engine/docs/best-practices/machine-learning/inference/llm-optimization |
| Serve Gemma open models using GPUs with vLLM | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-gemma-gpu-vllm |
| Serve LLMs like DeepSeek-R1 671B or Llama 3.1 405B | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-multihost-gpu |
| Serve an LLM with GKE Inference Gateway | https://cloud.google.com/kubernetes-engine/docs/how-to/serve-with-gke-inference-gateway |
| Serve an LLM with multiple GPUs | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-multiple-gpu |
| Serve T5 with Torch Serve | https://cloud.google.com/kubernetes-engine/docs/tutorials/scalable-ml-models-torchserve |
| Fine-tune Gemma open models using multiple GPUs | https://cloud.google.com/kubernetes-engine/docs/tutorials/finetune-gemma-gpu |
| Serve Llama on TPUs with vLLM | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-vllm-tpu |
| Serve LLMs using multi-host TPUs with JetStream and Pathways | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-multihost-tpu-jetstream |
| Serve Stable Diffusion XL on TPUs with MaxDiffusion | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-sdxl-tpu |
| Serve open models on TPUs with Terraform | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-open-models-tpu-terraform |
| Train large-scale models with Multi-tier Checkpointing | https://cloud.google.com/kubernetes-engine/docs/how-to/machine-learning/training/multi-tier-checkpointing |
| Train a model with GPUs on GKE Standard mode | https://cloud.google.com/kubernetes-engine/docs/quickstarts/train-model-gpus-standard |
| Train a model with GPUs on GKE Autopilot mode | https://cloud.google.com/kubernetes-engine/docs/quickstarts/train-model-gpus-autopilot |
| Train a Llama model on GPUs with Megatron-LM | https://cloud.google.com/kubernetes-engine/docs/quickstarts/training-megatron-llama-workload |
| Deploy AI agents with the ADK and Vertex AI API | https://cloud.google.com/kubernetes-engine/docs/tutorials/agentic-adk-vertex |
| Deploy AI agents with the ADK and a self-hosted LLM | https://cloud.google.com/kubernetes-engine/docs/tutorials/agentic-adk-vllm |
| Isolate AI code execution with Agent Sandbox | https://cloud.google.com/kubernetes-engine/docs/how-to/agent-sandbox |
| Save and restore Agent Sandbox environments | https://cloud.google.com/kubernetes-engine/docs/how-to/agent-sandbox-pod-snapshots |
| About Ray on GKE | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/concepts/overview |
| Quickstart: Deploy your first Ray application on GKE | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/quickstarts/ray-gpu-cluster |
| Enable managed KubeRay with the Ray Operator add-on | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/how-to/enable-ray-on-gke |
| Serve an LLM on GPUs with Ray Serve | https://cloud.google.com/kubernetes-engine/docs/how-to/serve-llm-l4-ray |
| Serve an LLM on TPUs with Ray Serve | https://cloud.google.com/kubernetes-engine/docs/tutorials/serve-llm-tpu-ray |
| Serve a diffusion model on GPUs with Ray | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/tutorials/deploy-ray-serve-stable-diffusion |
| Serve a diffusion model on TPUs with Ray | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/tutorials/deploy-ray-serve-stable-diffusion-tpu |
| Train with PyTorch, Ray, and GKE | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/tutorials/train-model-ray-pytorch |
| Train an LLM using Jax and Ray Train on TPUs with GKE | https://cloud.google.com/kubernetes-engine/docs/tutorials/distributed-training-tpu |
| Set up Ray on GKE with TPU Trillium | https://cloud.google.com/kubernetes-engine/docs/tutorials/kuberay-trillium |
| View logs for the Ray Operator on GKE | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/how-to/view-ray-operator-logs |
| View logs and metrics for Ray clusters on GKE | https://cloud.google.com/kubernetes-engine/docs/add-on/ray-on-gke/how-to/collect-view-logs-metrics |
| About GPUs | https://cloud.google.com/kubernetes-engine/docs/concepts/gpus |
| Configure A3 or A4 VMs with AI Hypercomputer | https://cloud.google.com/ai-hypercomputer/docs/create/gke-ai-hypercompute-custom |
| Deploy GPU workloads in Standard clusters | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus |
| Deploy GPU workloads in Autopilot clusters | https://cloud.google.com/kubernetes-engine/docs/how-to/autopilot-gpus |
| Configure autoscaling for LLM workloads on GPUs | https://cloud.google.com/kubernetes-engine/docs/how-to/machine-learning/inference/autoscaling |
| Manage the GPU stack with the NVIDIA GPU Operator | https://cloud.google.com/kubernetes-engine/docs/how-to/gpu-operator |
| Encrypt GPU workloads in-place | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes |
| Deploy AI Hypercomputer clusters (A3, A4 VMs) | https://cloud.google.com/ai-hypercomputer/docs/create/gke-ai-hypercompute |
| About GPU sharing strategies on GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/timesharing-gpus |
| Use multi-instance GPUs | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-multi |
| Configure timesharing GPUs | https://cloud.google.com/kubernetes-engine/docs/how-to/timesharing-gpus |
| Use NVIDIA MPS | https://cloud.google.com/kubernetes-engine/docs/how-to/nvidia-mps-gpus |
| Overview | https://cloud.google.com/kubernetes-engine/docs/concepts/dws |
| Run a large-scale workload with flex-start | https://cloud.google.com/kubernetes-engine/docs/how-to/provisioningrequest |
| Run a small batch workload with GPUs and flex-start | https://cloud.google.com/kubernetes-engine/docs/how-to/dws-flex-start-training |
| About TPUs | https://cloud.google.com/kubernetes-engine/docs/concepts/tpus |
| Ironwood (TPU7x) | https://cloud.google.com/kubernetes-engine/docs/concepts/tpu-ironwood |
| Plan TPUs on GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/plan-tpus |
| Deploy TPU workloads on Standard clusters | https://cloud.google.com/kubernetes-engine/docs/how-to/tpus |
| Deploy TPU workloads on Autopilot clusters | https://cloud.google.com/kubernetes-engine/docs/how-to/tpus-autopilot |
| Deploy high-performance TPU workloads with auto-networking | https://cloud.google.com/kubernetes-engine/docs/how-to/config-auto-net-for-accelerators |
| Deploy TPU Multislices on GKE | https://cloud.google.com/kubernetes-engine/docs/how-to/tpu-multislice |
| Orchestrate TPU Multislice workloads using JobSet and Kueue | https://cloud.google.com/kubernetes-engine/docs/tutorials/tpu-multislice-kueue |
| Configure autoscaling for LLM workloads on TPUs | https://cloud.google.com/kubernetes-engine/docs/how-to/machine-learning/inference/autoscaling-tpu |
| Overview | https://cloud.google.com/kubernetes-engine/docs/concepts/dws |
| Run a small batch workload with TPUs and flex-start | https://cloud.google.com/kubernetes-engine/docs/how-to/dws-flex-start-training-tpu |
| Request TPUs with future reservation in calendar mode | https://cloud.google.com/kubernetes-engine/docs/how-to/tpu-calendar-mode |
| About node disruption for GPUs and TPUs | https://cloud.google.com/kubernetes-engine/docs/concepts/handle-disruption-gpu-tpu |
| Best practices for running batch workloads on GKE | https://cloud.google.com/kubernetes-engine/docs/best-practices/batch-platform-on-gke |
| Deploy a batch system using Kueue | https://cloud.google.com/kubernetes-engine/docs/tutorials/kueue-intro |
| Implement a Job queuing system with quota sharing | https://cloud.google.com/kubernetes-engine/docs/tutorials/kueue-cohort |
| Optimize resource utilization for mixed AI/ML training and inference workloads | https://cloud.google.com/kubernetes-engine/docs/tutorials/mixed-workloads |
| Optimize AI/ML workload prioritization | https://cloud.google.com/kubernetes-engine/docs/best-practices/optimize-ai-utilization |
| Orchestrate TPU Multislice workloads using JobSet and Kueue | https://cloud.google.com/kubernetes-engine/docs/tutorials/tpu-multislice-kueue |
| Allocate network resources using GKE managed DRANET | https://cloud.google.com/kubernetes-engine/docs/how-to/allocate-network-resources-dra |
| Configure auto-networking for accelerators | https://cloud.google.com/kubernetes-engine/docs/how-to/config-auto-net-for-accelerators |
| About storage for GKE clusters | https://cloud.google.com/kubernetes-engine/docs/concepts/storage-overview |
| Accelerate model loading with Run:ai Model Streamer and vLLM | https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/run-ai-model-streamer |
| About Cloud Storage FUSE CSI driver for GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/cloud-storage-fuse-csi-driver |
| Accelerate AI/ML data loading with Hyperdisk ML | https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/hyperdisk-ml |
| Accelerate read performance of stateful workloads with GKE Data Cache | https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/data-cache |
| Transfer data from Cloud Storage using GKE Volume Populator | https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/volume-populator |
| Build a RAG chatbot with GKE and Cloud Storage | https://cloud.google.com/kubernetes-engine/docs/tutorials/build-rag-chatbot |
| Deploy a Qdrant vector database on GKE | https://cloud.google.com/kubernetes-engine/docs/tutorials/deploy-qdrant |
| Deploy automatic application monitoring for AI/ML workloads | https://cloud.google.com/kubernetes-engine/docs/how-to/configure-automatic-application-monitoring |
| Troubleshoot GPU issues | https://cloud.google.com/kubernetes-engine/docs/troubleshooting/gpus |
| Troubleshoot TPU issues | https://cloud.google.com/kubernetes-engine/docs/troubleshooting/tpus |
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| https://cloud.google.com/docs/dhm-cloud |
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Guides
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Autopilot
| https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-overview |
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Standard
| https://cloud.google.com/kubernetes-engine/docs/concepts/choose-cluster-mode |
| Confidential GKE Nodes | https://cloud.google.com/kubernetes-engine/docs/how-to/confidential-gke-nodes |
| Confidential VM | https://cloud.google.com/confidential-computing/confidential-vm/docs/confidential-vm-overview |
| GPUs in GKE | https://cloud.google.com/kubernetes-engine/docs/concepts/gpus |
| Use ComputeClasses to run GPU workloads on Confidential GKE Nodes | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#use-computeclasses |
| Manually configure Confidential GKE Nodes in GKE Standard | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#create-gke-cluster |
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Enable Google Kubernetes Engine API
| https://console.cloud.google.com/flows/enableapi?apiid=container.googleapis.com |
| install | https://cloud.google.com/sdk/docs/install |
| initialize | https://cloud.google.com/sdk/docs/initializing |
| property | https://cloud.google.com/sdk/docs/properties#setting_properties |
| View supported zones | https://cloud.google.com/confidential-computing/confidential-vm/docs/supported-configurations#supported-zones |
| View and manage quotas | https://cloud.google.com/docs/quotas/view-manage |
| ComputeClasses | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#use-computeclasses |
| flex-start | https://cloud.google.com/kubernetes-engine/docs/concepts/dws |
| Preview | https://cloud.google.com/products#product-launch-stages |
| Manual configuration in Standard mode | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#create-gke-cluster |
| Preview | https://cloud.google.com/products#product-launch-stages |
| Preview | https://cloud.google.com/products#product-launch-stages |
| Kubernetes Engine Cluster Admin | https://cloud.google.com/iam/docs/roles-permissions/container#container.clusterAdmin |
| Kubernetes Engine Developer | https://cloud.google.com/iam/docs/roles-permissions/container#container.developer |
| Manage access to projects, folders, and organizations | https://cloud.google.com/iam/docs/granting-changing-revoking-access |
| custom
roles | https://cloud.google.com/iam/docs/creating-custom-roles |
| predefined
roles | https://cloud.google.com/iam/docs/roles-overview#predefined |
| ComputeClass | https://cloud.google.com/kubernetes-engine/docs/concepts/about-custom-compute-classes |
| View supported zones | https://cloud.google.com/confidential-computing/confidential-vm/docs/supported-configurations#supported-zones |
| View supported zones | https://cloud.google.com/confidential-computing/confidential-vm/docs/supported-configurations#supported-zones |
| Enable Confidential GKE Nodes on Standard clusters | https://cloud.google.com/kubernetes-engine/docs/how-to/confidential-gke-nodes#enabling_in_a_new_cluster |
| Availability | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#availability |
| Go to Kubernetes clusters | https://console.cloud.google.com/kubernetes/list |
| Availability | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#availability |
| Availability | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#availability |
| manually install a compatible GPU driver | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#install-gpu-drivers |
| configure Flex-start VMs with queued provisioning | https://cloud.google.com/kubernetes-engine/docs/how-to/provisioningrequest#create-node-pool |
| View supported zones | https://cloud.google.com/confidential-computing/confidential-vm/docs/supported-configurations#supported-zones |
| manually install a compatible GPU driver | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-confidential-nodes#install-gpu-drivers |
| Run a large-scale workload with flex-start with queued provisioning | https://cloud.google.com/kubernetes-engine/docs/how-to/provisioningrequest |
| Update an existing node pool | https://cloud.google.com/kubernetes-engine/docs/how-to/confidential-gke-nodes#update-existing-node-pool |
| manual changes that recreate the nodes using a node
upgrade strategy without respecting maintenance
policies | https://cloud.google.com/kubernetes-engine/docs/concepts/managing-clusters#manual-changes-strategy-but-no-respect-policies |
| Planning for node update
disruptions | https://cloud.google.com/kubernetes-engine/docs/concepts/managing-clusters#plan-node-disruption |
| resource
availability | https://cloud.google.com/kubernetes-engine/docs/how-to/node-upgrades-quota |
| doesn't prevent this
change | https://cloud.google.com/kubernetes-engine/docs/how-to/node-auto-upgrades#disable-only-versions |
| Manually install NVIDIA GPU drivers | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#installing_drivers |
| Troubleshoot GPUs in GKE | https://cloud.google.com/kubernetes-engine/docs/troubleshooting/gpus#confidential-nodes-gpus |
| Verify that your GPU nodes use Confidential GKE Nodes | https://cloud.google.com/kubernetes-engine/docs/how-to/confidential-gke-nodes#verifying_that_are_enabled |
| Deploy a workload on your GPU nodes | https://cloud.google.com/kubernetes-engine/docs/how-to/gpus#multiple_gpus |
| Learn about the methods to run large-scale workloads with GPUs | https://cloud.google.com/kubernetes-engine/docs/concepts/dws#methods |
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