GPU & AI · tenant isolation

Share accelerator estates with enforceable customer boundaries.

Give organisations and projects controlled access to shared or dedicated GPU pools while retaining quota, reservation, role and audit controls.

Discuss your requirementsGPU & AI overview
Your platform · one control planeOrg · Nordlichtisolated · own usersproject · trainingproject · inference5 users · admin delegatedquota40%Org · Meridianisolated · own usersproject · erpproject · data3 users · admin delegatedquota25%Org · Rheinfeldisolated · own usersproject · portal4 users · admin delegatedquota15%AUDIT · 14:02 quota expanded · 13:58 role granted · 13:41 project created
Boundary
Tenant & project
Ownership is explicit
Capacity
Quota & reservation
Shared and dedicated models
Access
Role-controlled
Delegated safely
Evidence
Audited
Actions and allocations retained
Scope

Multi-tenancy designed around scarce accelerator capacity.

Allocation and access controls reflect customer commitments before workloads reach the estate.

Organisation boundaries

Separate customers and their projects across the GPU service lifecycle.

GPU quotas

Set enforceable ceilings by tenant, project, service and pool.

Reservations

Represent committed and dedicated accelerator allocations explicitly.

Roles and audit

Delegate customer actions while retaining operator evidence.

Operating workflow

Carry the commercial allocation into technical control.

The tenant model connects contract, capacity and workload ownership.

  1. 01

    Create tenant access

    Establish organisations and administrators.

  2. 02

    Allocate GPU capacity

    Assign quotas, reservations and eligible pools.

  3. 03

    Delegate projects

    Let customers organise teams and workloads.

  4. 04

    Review usage

    Follow allocation, actions and consumption together.

Two connected responsibilities

Operator control and customer action stay explicit.

Operator responsibility

What the operator enforces

  • Eligible GPU pools
  • Quota and reservation
  • Role and placement policy
  • Cross-tenant audit
Service consumer

What customers administer

  • Projects and members
  • Workloads inside allocation
  • Scoped API access
  • Their usage and audit context
Operational outcome

What this changes in the working model.

Outcome 01

Sell shared capacity safely

Tenant boundaries are platform controls, not procedures.

Outcome 02

Honor reservations

Committed GPU capacity remains visible and enforceable.

Outcome 03

Delegate responsibly

Customers act independently inside their allocation.

Return to gpu & ai overview →
Continue in this section
Partner with us

Define the tenant model around your GPU products.

We will map shared, reserved and dedicated capacity into quotas, projects and roles.

Book a briefingGPU & AI overview