CLOUD & INFRASTRUCTURE ENABLEMENT
Build a supported optimization, inference-performance or agent-workload offering on your infrastructure, with a clear product boundary and operating model.
Available products. A customer-specific workflow.
CLI · MCP · Headless
GPU cloud operators, private-AI providers, hardware/platform teams and systems integrators packaging managed services.
A useful implementation has a specific job. The scope is built around your original requirements, environment and acceptance criteria.
Available hardware does not by itself supply a supported optimization or AI-workload service.
Select a computational or infrastructure capability that fits the provider’s customer need. Package that defined service instead of treating the full portfolio as a mandatory stack.
Runtime dependencies, resource placement, data movement and failure recovery affect the actual customer experience.
Qualify the package on the agreed provider environment, including acceptance measures, dependencies and recovery/rollback behavior.
A partnership needs more than a technical integration to become a repeatable commercial offering.
Define provisioning, metering, customer billing, first-line support, specialist escalation and renewal responsibilities before launch.
The final order identifies the selected products, integration work and operating responsibilities. Included components and work are not charged again.
A bounded optimization endpoint, inference-performance integration, planning capability or agent workload backend.
The supported hardware/software configuration, workload measures, dependency boundary and testing required for rollout.
Explicit allocation of account access, data handling, service monitoring, incident response and change management.
Provider/customer licensing, usage or activation arrangements, integration milestones and support terms matched to the actual offering.
The provider wants to let its customers submit a supported model and receive a result with applicable evidence, using the provider’s existing infrastructure and account relationship.
Explanation only—not a live product run or a claimed customer deployment.Agree the workload, expected usage, product scope and provider environment. Compute consumption is costed independently of the software price.
Agree the supported models, execution environment and acceptance measures before committing to the delivery.
Choose the relevant capability.
Not every workflow needs every product.
Use a partner-specific agreement for milestones, distribution and ongoing rights. Existing SpinForge OEM and engineering ranges remain references for their original scope—not automatic prices for all infrastructure products.
No. Start with a selected capability and an agreed interface. The integration should complement the provider’s operating environment where appropriate.
No. Eligibility, testing, submission and approval for any external program are separate. No program membership or endorsement is implied.
That is agreed in the commercial model. Direct, provider-led and jointly delivered arrangements can assign billing and support differently.
Commission the model, integration and acceptance work needed for your task. Existing products stay independently available.
One capability. A connected workflow.
A team to put it into practice.