We advise and embed with cloud providers and enterprises deploying GPU hardware at scale — from architecture and procurement to ongoing management and support.
Workload-driven design and honest hardware selection — accelerators, interconnect, power and cooling — with sourcing at scale.
Install, cabling, OS/driver/firmware and orchestration (Slurm, Kubernetes, Docker) — validated against real workloads.
Monitoring, health checks, capacity planning and incident response — NOC/SRE-style operations for your fleet.
Grow from pilot to production: power and cooling expansion, new nodes, and migration planning that avoids costly mistakes.
Stand up and scale GPU capacity for your customers — fast.
Bring AI compute in-house with confidence.
Workloads, constraints, timeline and budget — and what success looks like.
Hardware, cooling, power, network and orchestration — quoted clearly.
Install, configure, integrate and validate against real workloads.
Monitoring, support and capacity planning as you grow.
Whether you're a cloud provider scaling capacity or an enterprise going on-prem, we'll help you get it right.