No shared tenancy
Your cluster is yours alone. Dedicated hardware with full root access and no noisy neighbors.
No spot interruptions
Reserved capacity means your workloads run uninterrupted, 24/7, for the duration of your contract.
Latest NVIDIA GPUs
H100, H200, B200, and B300 GPUs with NVLink and InfiniBand interconnect.
Flexible scale
From 16-node clusters for focused training to 128+ node deployments for frontier-scale workloads.
Who are dedicated clusters for?
- ML teams running large-scale distributed training jobs
- AI companies that need guaranteed GPU capacity for production inference
- Enterprises with compliance or data residency requirements
- Research labs working on frontier models or large experiments
- Inference Engine users who need a dedicated deployment of a model or workload
- GPU Instance users who have outgrown on-demand and need reserved capacity
How it compares
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Tell us about your GPU requirements and we’ll put together a proposal within 24 hours.
- Number of GPUs / nodes needed
- GPU type preference (H100, H200, B200, B300)
- Preferred region or data center location
- Contract duration (12 or 24 months)
- Target start date