Supercomputers for training and inference

Superclusters for
mission-critical AI

Single-tenant, shared-nothing AI cloud powered by NVIDIA GPUs, built for large-scale training and inference.

H100 and B100-class options with live queue estimates

Launch with API, CLI, or portal in minutes

Track usage and costs by team, project, and workload

Choose your compute path

Start on-demand, then reserve capacity as your workloads stabilize.

GPU Instances

Self-serve GPUs for notebooks, training jobs, and debugging

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GPU Clusters

Reserved multi-node capacity with priority scheduling

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Why teams switch

Balance engineering speed with procurement and cost controls.

Fast Launch

Start interactive sessions and batch runs quickly with clear status across queued, provisioning, and running states.

Predictable Capacity

Move from on-demand bursts to reserved clusters as workload demand stabilizes, without changing operational workflows.

Cost Governance

Allocate spend by workspace and project, enforce budget guardrails, and export finance-ready usage data.

Pricing options

Pay by the hour, reserve capacity monthly, or run under enterprise terms.

PlanBest forBilling modelSupportCTA
On-DemandExperimentation, prototyping, and burst demandPer GPU-hourEmail supportStart self-serve
Reserved CapacityRecurring training and sustained production workloadsMonthly commitmentPriorityRequest capacity plan
Enterprise ProgramSecurity, procurement, and multi-team governance needsContract + usageTechnical account managementSpeak with sales

Built for your stage

Commercial and operational models tuned for different team profiles.

AI Startups

Ship faster with on-demand capacity, minimal setup, and a clean path to reserved commitments when usage grows.

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Platform Teams

Give internal ML teams a consistent environment with centralized governance, reporting, and workload visibility.

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Regulated Organizations

Support security and procurement reviews with documented controls, auditable workflows, and enterprise support paths.

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Trust and compliance

Security and reliability standards teams need before they scale.

  • Encryption for data in transit and at rest
  • Role-based access controls with scoped API tokens
  • Audit logs for launches, billing, and administrative actions
  • SSO and policy controls for multi-team organizations
  • Documented incident response and maintenance communications