End-to-end GPU infrastructure for teams that need to ship, not experiment.
Bare metal bring-up for H100, B200, and A100 clusters. PXE boot, OS imaging, BIOS tuning, driver stack, and DCGM monitoring from day one.
Infrastructure-as-code for GPU fleets. Ansible playbooks, IPMI/Redfish management, NetBox inventory, and Nomad orchestration.
Multi-node training configurations that actually work. NCCL tuning, NVLink topology optimization, and validation across 8 to 512 GPUs.
Systematic hardware validation before production. Memory stress tests, NVLink bandwidth verification, PCIe signal integrity, and thermal profiling.
High-performance fabric design and troubleshooting. IB subnet management, RDMA configuration, and network topology optimization for NCCL.
The platform layer between your GPUs and your training jobs. Container runtimes, job scheduling, storage mounts, and monitoring dashboards.
Not a cloud consultant. Not a slide deck. Hands on the hardware.
I've physically racked servers, debugged NVLink failures at 2am, and recovered clusters from firmware bricking. I know what breaks and why.
Currently provisioning GPU infrastructure across A100, H100, B200, and RTX 5090 fleets. This is my day job, not a side hobby.
Every engagement starts with a technical assessment and ends with runbooks your team can maintain. No open-ended retainers.
Tell me about your GPU infrastructure challenge. I'll respond within 24 hours with an initial assessment of how I can help.