GPU clusters for AI.

Launch a GPU cluster from your dashboard or reserve 128, 256, 1,024 GPUs and beyond for training, fine-tuning and inference.

NVIDIA H200 available today, with more Instant Cluster GPU options being added.

Reserve hundreds of GPUs. Or thousands.

128GPUs
256GPUs
1,024+GPUs

Need a different size? Tell us your target. We’ll confirm GPU availability and delivery dates for your deployment.

Two ways to get started

Launch yourself. Or reserve with us.

Choose self-service access to available GPUs or plan capacity around your project.

Self-service

Instant Clusters

Create a cluster directly in the dashboard using available GPU capacity.

  • Create your cluster and add nodes yourself
  • Choose from the GPU types and capacity in the dashboard
  • NVIDIA H200 nodes with eight GPUs and InfiniBand today
  • More GPU options being added
Launch Instant Cluster

Check the dashboard for the current GPU lineup and availability.

Planned capacity

Reserved Clusters

Work with our team to arrange GPU capacity for your workload and schedule.

  • 128, 256, 1,024 GPUs and larger deployments
  • Choose your GPU and network configuration with our team
  • Plan your start date and reservation duration
  • Confirm capacity, delivery dates and pricing before you reserve

Bring your workload, target GPU count and timeline.

Reserved & bulk GPU options

The GPUs you need.
The network to match.

Explore GPU and network configurations for reserved deployments and bulk capacity.

NVIDIA GPUNetworkingReserve / bulk

NVIDIA H200

InfiniBand

Contact sales

NVIDIA H100

InfiniBand

Contact sales

NVIDIA B200

InfiniBand

Contact sales

NVIDIA B300

InfiniBand

Contact sales

NVIDIA RTX Pro 6000

200–400 Gb/s · No InfiniBand

Contact sales

NVIDIA RTX Pro 6000 uses 200–400 Gb/s networking without InfiniBand. We’ll confirm the exact configuration in your quote.

Built for work across nodes

Built on NVIDIA
reference architecture.

Our NVIDIA H100, NVIDIA H200, NVIDIA B200 and NVIDIA B300 clusters pair NVIDIA reference architecture with InfiniBand networking for work across nodes.

Choose the right network

InfiniBand clusters

For distributed workloads that need frequent communication between nodes, available with NVIDIA H100, NVIDIA H200, NVIDIA B200 and NVIDIA B300.

200–400 Gb/s networking

Bulk NVIDIA RTX Pro 6000 capacity uses 200–400 Gb/s networking without InfiniBand.

Before you start

Your cluster
questions, answered.

Choosing hardware, checking capacity and getting started.

Need a single VM?
Should I choose Instant or Reserved Clusters?

Choose Instant Clusters to create a cluster yourself using the GPU types and capacity available in the dashboard. Choose Reserved Clusters when you need a different GPU, a larger deployment or capacity for a planned project. Our team will confirm the configuration, dates and pricing with you.

Can I get 1,024 GPUs or more?

Yes. We support reserved deployments of 128, 256, 1,024 GPUs and beyond. Share your target GPU count and timeline so we can confirm availability. These sizes describe reserved deployments; Instant Cluster capacity is shown separately in the dashboard.

Which GPUs can I launch myself?

NVIDIA H200 is available today, with eight GPUs per node and InfiniBand networking. We’re adding more GPU options to Instant Clusters; check the dashboard for the current lineup and available capacity.

Does every cluster include InfiniBand?

NVIDIA H100, NVIDIA H200, NVIDIA B200 and NVIDIA B300 clusters include InfiniBand. NVIDIA RTX Pro 6000 clusters use 200–400 Gb/s networking without InfiniBand. We’ll help you assess the network requirements for your workload before you reserve.

How do I get pricing for a reserved cluster?

Contact our team with your preferred GPU, GPU count, start date and expected duration. We’ll confirm the available configuration, delivery schedule and commercial terms for your deployment.

Do I need a cluster or a VM?

A VM is a good starting point when your workload fits on one machine with up to eight GPUs. Choose a cluster when your workload needs multiple nodes, or when you need GPU capacity across several machines.

Choose your starting point

Ready for
more GPUs?

Create a cluster in the dashboard, or bring us the plan for your next large deployment.

Launch Instant Cluster

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