Who It Is For
Infrastructure and platform teams operating GPU, bare-metal, Kubernetes, edge, or regulated environments.
First Step
Share the workload, topology, and uncertainty. I will turn that into a validation plan.
Start a ConversationSystems Delivery
Build and Validate Hardware Infrastructure for AI, GPU, Edge, and High-Assurance Workloads.
Bring up, validate, and automate infrastructure where hardware behavior, cooling, networking, storage, Kubernetes, and operator workflows all matter.
Where the work starts
Clarify
Hardware, network, storage, and orchestration issues are being debugged as separate problems.
Cluster bring-up is manual, inconsistent, or hard to validate.
Teams lack a practical acceptance test for performance, reliability, or operational readiness.
Example engagements
Work Together
Review hardware readiness across B200, B300, AMD GPU, cooling, PCIe, RDMA, storage, scheduling, AI system observability, and workload placement.
Design in-band host automation for hardware already in an unknown, unwanted, or pre-imaged state where operators need to inspect, validate, configure, and recover systems with limited traditional administration access.
Design a reproducible developer or operator environment for repeatable infrastructure work.
Create validation plans for bare metal, Kubernetes, model-serving, or edge deployment paths.
Likely deliverables
Leave Behind
Architecture ReviewValidation PlanAutomation BacklogOperational Runbook