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GPU CloudAMD MI325X and NVIDIA H200 by the hour or on reservation.
Dedicated ClustersPreviewPrivate, interconnected GPU clusters for sustained workloads.
SandboxesPreviewIsolated, short-lived environments for developers and AI agents.
Serverless GPUPreviewGPU containers that scale with requests, down to zero.
Serverless InferenceOpen models behind one OpenAI-compatible endpoint.
Dedicated EndpointsReserved serving capacity for one model, billed per GPU-hour.
PlaygroundSend a prompt to any model your workspace can reach.
Model DeploymentsPreviewImmutable deployments with instant promote and rollback.
Fine-tuningLoRA fine-tunes on the open models in our catalog.
Model TrainingPreviewFoundation-model training runs, managed end to end.
EvaluationsPreviewBenchmark suites and model comparisons you can rerun.
DatasetsManaged and synthetic training data, versioned and ready to use.
Data ManagementPreviewDatasets, connections and storage, with lineage across the platform.
PipelinesPreviewVersioned DAGs that automate data, training and deployment.
Data RoomsPreviewSecure document sharing with guests, NDAs and an audit trail.
NokuvaPreviewThe AI-native design editor.
TavocPreviewA Rust-native code platform: IDE and desktop apps.
FoltracComing soonMulti-cloud deployment with autonomous operations.
W0rkTreeComing soonVersion control for agent fleets.
Identity & AccessMembers, roles, policies, SSO and audit for every workspace.
Billing & CostUsage, invoices, credits and budgets in one place.
Logs & MonitoringRequest logs, latency and error rates across services.
Project CanvasPreviewSee and change a project's resources on one live canvas.

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Dedicated Clusters

Preview

A GPU cluster that is yours alone.

Sized for the job, with high-bandwidth interconnect, shared storage and a scheduler. Our team provisions and operates it; your work is the only work it runs.

Request accessView pricing
Pricing
Custom quote
Layer
Compute
Runs
Training runs, Batch jobs, Fine-tunes, Evaluations, Shared storage, Volumes, Project canvas

Why Dedicated Clusters

Sustained work needs capacity you don’t share.

A dedicated cluster is sized for the job and runs only your work, with high-bandwidth interconnect between its nodes, shared storage and a managed scheduler. Our team provisions and operates it, and a named engineer stays with you from sizing to steady state.

  • Isolated tenancy

    No noisy neighbours: the nodes run only your jobs.

  • Managed scheduler

    Queue training and batch jobs across every node.

  • Engineering support

    A named engineer from sizing to steady state.

How it works

Private, interconnected GPU clusters for sustained workloads.

  1. Request a cluster

    Add a cluster to your project canvas, or ask from the clusters page, with the GPUs, region and storage the work needs.

  2. Size it with an engineer

    A named engineer works through the workload with you and agrees the nodes, interconnect and storage before anything is provisioned.

  3. We provision and operate it

    Our team brings the nodes up, joins them to the scheduler and keeps them healthy. On your canvas, the cluster is one resource.

  4. Queue your jobs

    Submit training and batch jobs to the managed scheduler, which places them across every node.

In the console

Everything in one place.

Dedicated Clusters lives in the LegionEdge cloud console, next to every other service in the workspace, under one account and one identity.

  • Cluster overview

    The cluster as one resource, with every node behind it.

    • Health and GPU telemetry for each node
    • Shared storage mounted across every node
    • On your project canvas beside the work it runs

  • Managed scheduler

    One queue for the training and batch jobs the cluster runs.

    • Training and batch jobs in a single queue
    • Placed across every node in the cluster
    • Only your jobs, never a neighbour’s

  • Isolation and access

    Private capacity, governed the way the rest of your organization is.

    • Nodes that run only your organization’s work
    • A private network for the organization
    • Firewall rules and access managed in one place

  • Engineering support

    A person who knows your cluster, not a ticket queue.

    • A named engineer from sizing to steady state
    • Capacity planned with you as the work grows

Pricing

Custom quote

Dedicated clusters are quoted per engagement, for the hardware, interconnect, storage and scheduler the work needs.

  • Dedicated clusters and reserved GPUs are part of the Enterprise plan.
  • The cluster is sized with a named engineer before you commit.
  • Reserved headroom keeps long training runs schedulable.
Full pricing

GPU rates

GPU rates in USD per GPU-hour, on demand and by reservation term
GPUMemoryOn demand1-month6-month12-month
AMD Instinct MI325X256 GB HBM3E$4.79$4.31$3.83$3.35
NVIDIA H200141 GB HBM3e$4.79On request

Regions

Compute regions
RegionLocationHardwareStatus
US Centralus-central-ordChicago, ILAMD MI325XLive
US Southus-south-1Dallas, TXNVIDIA H200Live
US Eastus-east-1Ashburn, VANVIDIA H200Planned

Related products

Pairs well with Dedicated Clusters

Dedicated Clusters

Tell us about the workload.

We size the cluster with you, run it for you, and keep it yours alone.

Request accessTalk to us