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AI Hypercomputer
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Overview
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Overview
Guides
Resources
Cross-product tools
More
Console
Discover
Overview
Choose your accelerator infrastructure
Choose an orchestrator and deployment option
Accelerators
About GPU accelerators
General GPUs
Clustered GPUs
Performance-optimized infrastructure
Networking services
GPU networking overview
Network services for deployments
Networking best practices
Storage services
Open software
OS and Docker images
Choose a consumption option
Cluster management
Cluster management overview
Cluster management configurations
Terminology
Get started
Plan and create your AI infrastructure
Choose between general GPUs and clustered GPUs
Design your AI infrastructure with Gemini
Obtain capacity and quota
Overview
Reserve capacity
View reserved capacity
Quickstarts
Create a fully managed Slurm cluster with A4 VMs
Create a self-managed Slurm cluster with A4 VMs
Deploy infrastructure
Deployment options overview
Compact placement policy and workload policy overview
Deploy AI-optimized VMs and clusters
Create GKE clusters
Create an AI-optimized GKE cluster with default configuration
Create a custom AI-optimized GKE cluster which uses A4X Max
Create a custom AI-optimized GKE cluster which uses A4X
Create a custom AI-optimized GKE cluster which uses A4 or A3 Ultra
Create GKE Standard clusters which use A3 Mega or A3 High
Create GKE Autopilot clusters which use A3 Mega or A3 High
Create Slurm clusters
Create a fully managed cluster
Create a self-managed cluster
Create an instance
Create A4X Max
Create A4X
Create A4 or A3 Ultra
Create A3 High or A3 Mega
Create A3 Edge
Create A2
Create G4
Create G2
Create N1 with GPUs
Create instances in bulk
Create A4X Max
Create A4X
Create A4 or A3 Ultra
Create A3 High or A3 Mega
Create A3 Edge
Create A2
Create G4
Create G2
Create N1 with GPUs
Create a managed instance group (MIG)
Create A4X Max
Create A4X
Create A4 or A3 Ultra
Create A3 High or A3 Mega
Create A3 Edge
Create A2
Create G4
Create G2
Create N1 with GPUs
Run workloads
Run workloads with Pathways on Cloud
Introduction to Pathways on Cloud
Create a GKE cluster with Pathways
Run a batch workload with Pathways
Run an interactive workload with Pathways
Perform multihost inference using Pathways
Resilient training with Pathways
Port JAX workloads to Pathways
Troubleshoot Pathways on Cloud
Schedule GKE workloads
Schedule workloads with Topology Aware Scheduling (TAS)
Enable node health prediction
Use Kueue to orchestrate workloads
AI workload tutorials
Overview
GPU
Run inference with vLLM on GKE
DeepSeek V3.1
DeepSeek V3.2-Speciale
Gemma 3
GPT-OSS
Llama 4
Qwen3
Run fine-tuning
Gemma 3 on a GKE cluster
Gemma 3 on a multi-host GKE cluster
Gemma 3 on a Slurm cluster
Gemma 3 for vision tasks on GKE
Llama 4 on a Slurm cluster
Mixtral-8x7b on a Slurm cluster
Run training
Qwen2 on a Slurm cluster
TPU
Serve workloads
Serve Qwen2-7B with vLLM on TPUs
Serve Qwen2-7B-Instruct with vLLM on TPUs
Serve Qwen3-8B-Base with vLLM on TPUs
Serve Llama-3.1-8B with vLLM on TPUs
Run fine-tuning
Run supervised fine-tuning on a TPU VM with MaxText
Run multi-host supervised fine-tuning on Qwen3-14b using MaxText
Run RL training on a v6e-8 TPU VM
