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GPU MarketplaceOn-Demand InstancesGPU ClustersReserved ComputeProvider NetworkGPUsInferenceComparePricingAPI Documentation
Loading AuraOne ComputePreparing GPU search and provider inventory.

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Compute / GPU clusters

Build provider-backed GPU clusters from reviewed templates.

Choose an orchestrator, provider profile, region, accelerator topology, node-pool range, private-network policy, storage, access, and cleanup boundary.

Cluster creation requires authentication, an enabled provider profile, a current template, quota, budget approval, and an idempotent operation. This public page does not create infrastructure.

Request cluster capacitySearch GPU offers
OrchestratorTypical fitRequired inspection
KubernetesServing, training platforms, operators, and mixed servicesTemplate, version, network, node-pool, and access controls
SlurmScheduled multi-node training and HPC-style batch workloadsPartition, queue, topology, storage, and scheduler policy
RayDistributed Python, training, tuning, and batch executionHead/worker topology, autoscaling, images, and object storage

Template and topology

Pin orchestrator version, accelerator SKU, node pools, interconnect, image, storage, labels, taints, and zones.

Network and access

Keep control-plane exposure, private networking, identity, temporary access, firewall, and egress policy explicit.

Operate and reconcile

Scale, drain, upgrade, observe cost, reconcile provider state, and clean up resources through durable operations.

Fail closed

Unsupported topology, stale offers, missing approval, quota failure, or cleanup risk blocks launch before provider spend.

Scope a reserved cluster