Compute instances
Create instances from defined specifications and manage their lifecycle, logs and stop requests.
PRIVATE AI COMPUTE OPERATIONS
Give teams a clear way to reserve resources, launch compute instances and access workspaces on your own infrastructure.
WHO IT IS FOR
Enterprise AI teams, compute operators and technical service providers.
SovereignCompute
Create instances from defined specifications and manage their lifecycle, logs and stop requests.
Reserve CPU and memory resources with optional accelerator allocation. Organize nodes, pools and specifications.
Provide controlled JupyterLab access and attach storage volumes to support day-to-day development.
Track instance-time usage and generate project bills using recorded usage and pricing snapshots.
Provide team resources and workspaces while Engine serves models and Inference executes algorithms. Shared resources and platform connections are managed through unified deployment configuration.
Deployment & integration
Deploy the control plane in your environment and connect Docker, Docker Swarm or Kubernetes (K8s) execution environments, with unified configuration for storage, identity, resource specifications and billing rules.
Put it to work
A project delivery that combines the infrastructure products your team needs.
Explore 02 /A production loop from private data to releasable models.
Explore 03 /Build the commercial operations behind AI services, from branded storefronts and product pricing to quotas, charging and billing.
ExploreBusiness enquiries
Tell us what you want to build. We will help define the platform, delivery scope and next step.