GPU scheduling software that brings resource-placement policies, attestation and deployment records into the allocation workflow.
See what it solvesTHE PRODUCT, IN PRACTICE
SpinSovereign is an infrastructure offering, not only an isolated scheduling algorithm. It packages the supported resource, placement and policy requirements of a sovereign-AI deployment into its optimization workflow. The configured rules, infrastructure and operating responsibilities are stated in the customer agreement.
A resource allocation can look feasible before the team checks where the workload is permitted to run.
SpinSovereign considers the supported scheduling and placement-policy requirements in the same workflow, helping the team evaluate an allocation against both.
An allocation without its associated environment records is harder to review or carry into deployment.
Attestation and deployment manifests accompany the supported workflow, keeping the selected placement connected to its operating context.
Repeated scheduling requirements can become manual integration work when there is no defined application interface.
The product provides a scheduling service and API for its supported resource-allocation scope, so it can be integrated into the customer’s own infrastructure operations.
The agreed sovereign-AI infrastructure configuration, rather than only a scheduling recommendation.
Manifests describing the deployment associated with the supported workflow.
Environment-related evidence within the product’s qualified attestation scope.
The supplied API and integration surface for scheduling and deployment use.
SpinSovereign is fully available with CLI, MCP and headless access. Use the interface that fits your terminal, your agents or your automated workflow.
Run the product from a terminal or script, alongside the tools your team already uses.
Get CLI accessConnect MCP-compatible clients and agents to the product’s exposed capabilities.
Get MCP accessOperate without a graphical interface in unattended, scheduled or pipeline-driven work.
Set up headless accessProduct-specific inputs, hardware requirements and result guarantees still apply. An access mode does not change your license or deployment scope.
Explore all product interfacesA private-AI operator needs to place a set of workloads without separating the placement review from the allocation task.
Illustrative customer use—not a new benchmark or completed customer deployment.Provide the supported resource inventory and encoded placement requirements.
Review the scheduling result with its deployment and attestation records.
Integrate the accepted workflow with the authorized infrastructure process.
Explore the product workflow, from your input to a result you can use.
Start with the workload and its deployment requirements.
Interactive explanation. This illustration does not execute customer workloads or display measured performance.
The owner reports 85–95% GPU utilization; the workload, utilization definition and service-quality conditions must accompany any customer comparison. Compliance-rule enforcement in an encoded model is not external regulatory certification. Turnkey delivery is scoped to the agreed environment.
$150,000/year is the retained standalone price proposal for its named scope. The platform plans buy qualified workflows and capacity, not a second charge every time a compatible method is selected. Existing bundle inclusions do not expand automatically.
Fully available with CLI, MCP and headless access. Runtime requirements, supported operations and license scope remain product-specific.
One named production deployment. Shared engine rights for this application included.
Scope & packagesBring a representative workload and the result your team needs. We’ll define the product, deployment and engineering scope around that task.
Activate this capability inside a qualified compute & data operations workflow. Compatible methods and required shared checking are included once within that workflow; the product remains independently purchasable.
Capacity, release, environment, result contract and operating responsibilities are specified before activation. Choosing an additional method is not permission to add an unrelated workload or unqualified deployment.
Explore Compute & Data Operations Choose workflow capacityCommission the model, integration and acceptance work needed for your task. Existing products stay independently available.
Commission a revision-aware workflow that keeps models, assumptions, results and evidence connected as inputs change.
03 / Scoped customer programCommission a bounded performance improvement with source identity, numerical acceptance and the appropriate checking evidence.
Use the software directly or ask us to scope the implementation.
One capability. A connected workflow.
A team to put it into practice.