Unify the estate
Bring distributed compute and network conditions into operational context.
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AI Grid Activation
Make distributed capacity
work as one.
Assess and integrate regional infrastructure, edge compute and operational workflows for a scoped distributed AI service.
Explore the solutionAI grids
01 / The opportunity
Capacity is only the beginning.
Regional AI services need more than GPUs at distributed sites. Teams need a shared view of infrastructure, a way to govern consumption and an operating approach across the network.
Govern consumption
Define which workloads and identities can use regional capacity.
Operate across sites
Coordinate health, change evaluation and remediation across the estate.
02 / How it connects
From AI factories to regional inference.
Transport links AI factories, regional grids and edge hubs. Workload placement and routing depend on the customer’s capacity, policy and latency requirements.
Relevant platforms
iFabric ↗
Operate the distributed estate through observability, digital twins and agentic AI.
gFabric ↗
Govern access, workload routing and consumption policies.
nLLM ↗
Ground infrastructure reasoning in telemetry, topology and operational knowledge.
Platform integrations and operating responsibilities are agreed for each engagement.
03 / What we deliver
Connect the capacity to a service.
Regional architecture, network and transport integration, compute onboarding, operational validation and continuing operations. Add connectivity and edge integrations according to the services the operator intends to deliver.
Explore engineering & operations ↗