AI compute-fabric planning software that maps workloads against power, cooling, memory, network and silicon resources.
Discuss GridForgeTHE PRODUCT, IN PRACTICE
When a workload fits the available processors but not the surrounding resource limits, compute planning is incomplete. GridForge treats power, cooling, memory, network and silicon as connected parts of the AI execution environment. It provides a workload-mapping role for a supported resource model, helping operators assess placement in the context of the whole system.
A placement decision based on compute alone can miss limits elsewhere in the resource system.
GridForge represents the supported power, cooling, memory, network and silicon resources together for the workload-mapping task.
Separate assumptions about each resource make it difficult to evaluate one workload against a common environment.
The product supplies a shared compute-fabric planning view around the supported resource model, so the placement question can be assessed in context.
A resource-mapping concept is not the same as calibrated operation on actual infrastructure.
The engagement defines the resource model, workload inputs and accepted mapping outputs for the chosen environment before any operational integration.
The product scope below describes the capability and outputs to confirm for your release. Custom integration, operated delivery and additional engineering are separately agreed.
Representation of the supported coupled resources relevant to the workload.
A placement/planning output against the agreed compute-fabric model.
The constraints, resource assumptions and environment represented by the evaluation.
Defined inputs, mapping outputs and responsibilities for any connected operational workflow.
GridForge 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 interfacesAn infrastructure team wants a planning assessment that includes more than its inventory of GPU devices.
Illustrative use of the supported scope, not a customer case study or a measured result.Supply the supported compute and physical-resource model.
Map the workload against the represented limits.
Review the plan with the responsible infrastructure teams before operational use.
A product workflow illustration, not a live execution or deployment test. Choose a stage to explore its role.
Represent the available resource dimensions.
AI-infrastructure planners, capacity engineers and teams evaluating coupled compute and physical-resource constraints.
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 scope describes resource modeling and workload mapping. Live control of power or cooling equipment, calibrated savings and facility-level assurance are not established by that description; they require separate qualification.
The agreed GridForge 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.