PRIVATE AI COMPUTE OPERATIONS

Your compute.
Ready for your team.

Give teams a clear way to reserve resources, launch compute instances and access workspaces on your own infrastructure.

SovereignCompute
Workspace / Overview

Compute instances

Private compute pool
RESOURCE ALLOCATIONPrivate compute pool
Reserve → Launch → Work → Settle
InstanceConfigurationState
Research workspaceAccelerator instanceRunning
DevelopmentCPU instanceRunning
Batch processingAccelerator instanceReserved
JupyterLabUsage & billing

WHO IT IS FOR

Enterprise AI teams, compute operators and technical service providers.

SovereignCompute

Inside the platform

01

Compute instances

Create instances from defined specifications and manage their lifecycle, logs and stop requests.

02

Resource allocation

Reserve CPU and memory resources with optional accelerator allocation. Organize nodes, pools and specifications.

03

Team workspaces

Provide controlled JupyterLab access and attach storage volumes to support day-to-day development.

04

Usage & billing

Track instance-time usage and generate project bills using recorded usage and pricing snapshots.

How the platforms work together

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

What you receive

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.

  • Configured compute platform and resource specifications
  • Instance and workspace workflow acceptance
  • Usage and billing configuration
  • Deployment, backup and operator documentation

Put it to work

Choose the delivery path
that fits your next move.

Business enquiries

Make the next move yours.

Tell us what you want to build. We will help define the platform, delivery scope and next step.