Design for the workload
Plan compute, network and facility interfaces around the deployment.
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AI Factory Engineering & Operations
Build the foundation.
Operate it for AI.
Bring GPU compute, networks and operations into one engineered environment—from new AI deployments to CPU-to-GPU transitions.
Explore the solutionAI factories
01 / The opportunity
AI readiness is a systems problem.
Compute capacity depends on the fabric, power, cooling and operations around it. Invences brings those disciplines together so a new deployment or an existing estate can support its intended AI workloads.
Integrate the environment
Validate the infrastructure fabric and workload onboarding across vendors.
Operate beyond go-live
Connect discovery, observability and governed automation to day-2 operations.
02 / How it connects
The compute end of a connected system.
The AI factory provides centralized training and inference capacity. Regional grids and edge deployments can connect to it as the customer’s operating model requires.
03 / What we deliver
Design. Integrate. Validate. Operate.
GPU-dense design, greenfield deployment or brownfield migration, compute-fabric integration, workload onboarding and operational support. Greenfield delivery covers engineering and integration; civil construction is outside this scope.
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