A GPU-native persistent-state engine connecting supported live-data, computation, indexing, transaction and persistence workflows.
Discuss StateForgeTHE PRODUCT, IN PRACTICE
When GPU applications repeatedly exchange live state with separate data systems, the data path becomes part of the engineering problem. StateForge brings live and stored state into a GPU-centered workflow, including supported indexing, transactions and persistence. The purchase is a defined state capability and integration—not a blanket promise to replace every database, queue and analytics system.
The application needs data to compute, while the systems that hold that data may follow a different operating path.
StateForge brings supported live state and processing into a GPU-centered workflow, targeting the repeated handoffs in the selected workload.
Indexing, transactions and persistence can each create another boundary for the application team to manage.
The engine connects those responsibilities within the supported state workflow. Compatibility and semantics are defined for the portion of the stack being integrated.
Replacing an entire data stack at once makes it hard to specify what must keep working.
A StateForge engagement can define one state subsystem, its required data operations and its persistence/recovery contract before any broader replacement is considered.
The product scope below describes the capability and outputs to confirm for your release. Custom integration, operated delivery and additional engineering are separately agreed.
The selected live/stored-data functions within the GPU-native engine scope.
The indexing and transaction responsibilities agreed for the application.
The qualified connection between runtime state and the retained storage path.
Explicit compatibility, data ownership and operating responsibilities for the selected subsystem.
StateForge 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 stateful GPU application needs a more coherent path between live computation and retained state.
Illustrative use of the supported scope, not a customer case study or a measured result.Identify one subsystem and its data, consistency and recovery requirements.
Integrate the qualified StateForge capabilities with that workload.
Evaluate correctness, data movement and recovery before extending the scope.
A product workflow illustration, not a live execution or deployment test. Choose a stage to explore its role.
Accept data into the agreed network-to-GPU path.
GPU-data infrastructure, streaming-system and stateful-application teams evaluating a bounded state subsystem.
CLI, MCP and headless access are all available. Run from a terminal or script, connect an MCP-compatible client, or use the product without a graphical interface. Choose the mode during onboarding and receive its setup instructions. Runtime requirements and supported operations remain product-specific.
The supplied description establishes the architecture and consolidation aim, not universal compatibility with the systems it might replace. Durability, recovery, isolation and performance must be established for the delivered deployment. Managed operation is a separate contracted responsibility.
The agreed StateForge release, its supported interfaces and outputs, the applicable checks and the support stated in your order. The plan defines users, workflow, environment and capacity. Source-code transfer, unrestricted redistribution and bespoke engineering are not automatically included.
Request a scoped engineering or operated-service proposal. It identifies what our team delivers, where the workload runs, infrastructure costs, acceptance requirements and ongoing support. Your software subscription alone does not activate a hosted runtime.
Explore engineeringAgree the model or workload, current baseline, environment, required output and acceptance tests. Evaluate the selected release against those conditions. A product description or a test count does not establish a gain on a different customer workload.
Plan an integrationCustomer-hosted access and a service operated by SpinForge are different scopes. Confirm the release, deployment and included support before activation.
Plans & deliveryBring 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.