Pre-Production Rack Bring-Up
Built high-capacity pre-production bring-up lines from the ground up, enforcing strict BOM and revision controls to deliver stable, early-access AI racks to internal software and firmware teams ahead of schedule.
Cutting the time to uptime for the world’s most complex AI systems.
Getting next-generation AI racks online takes more than physical integration and part-swapping. Our founders previously led system validation and triage for NVIDIA’s flagship AI trays and racks—bringing up, deploying, and sustaining five generations of platforms since A100. Today, we put that same engineering rigor to work on your factory floor and deployment site.
Built high-capacity pre-production bring-up lines from the ground up, enforcing strict BOM and revision controls to deliver stable, early-access AI racks to internal software and firmware teams ahead of schedule.
Directed end-to-end NPI for flagship AI platforms from first-article EVT/DVT trays to full L11 rack production—aligning silicon, mechanical, and factory teams to hit uncompromising launch windows.
Cleared stalled factory bonepiles during flagship NPI ramps by isolating systemic root causes and scaling line-side rework—recovering stranded inventory at scale and pulling shipment schedules back on track.
Validated scale-up and scale-out fabric integrity (BER, FEC margins, and link training) across dense multi-node AI racks—eliminating packet drops and fabric flaps before customer workload handoff.
Stood up rapid-response triage and rework operations during a high-stakes cluster turn-up—clearing systemic hardware and firmware blockers at scale to prevent a critical fleet launch slip.
Restored mission-critical benchmark clusters by debugging failures across blind-mate liquid cooling loops, high-density power shelves, and compute trays—maximizing cluster availability for priority workloads.
Isolated elusive hardware-firmware race conditions, PCIe/high-speed signal integrity bottlenecks, and thermal throttling during early bring-up—locking in platform stability before high-volume CM handoff.
Bridged silicon design teams and contract manufacturers (CMs) on the factory floor—closing test-coverage gaps, tightening line qualification criteria, and eliminating escapes during early production.
Authored comprehensive L10/L11 assembly, disassembly, and complex rework SOPs alongside automated diagnostic workflows—enabling CMs and field techs to execute repeatable, zero-defect builds at volume.
When an AI rack fails during deployment, your reputation and schedule take the hit—even when the root cause sits upstream in silicon, firmware, or optics. We embed alongside your teams through NPI, factory ramp, and site turn-up to catch cross-boundary failures early, before they stall your cluster launch.
We plug in at the exact points where AI rack programs get expensive: the ramp, the bonepile, and the deployment floor.
Designing and deploying dedicated triage teams to coordinate debug across validation, manufacturing, and field environments. Structuring escalation paths to reduce turnaround time.
Racks reach stable, production-ready uptime faster—fully verified across cooling, power, compute nodes, firmware stack, and fabric at bring-up to eliminate early-life failures and minimize costly post-deployment rework.
Analyzing scale-out topologies, switch tiers, and optical interconnects to diagnose performance degradations or link failures and isolate fabric faults across the cluster.
Executing rapid triage and scalable rework strategies to recover stalled inventory, unblock factory throughput, and restore critical capital value.
Establishing test coverage and yield feedback loops across design teams, manufacturing lines, and pre-deployment labs.
Expert guidance spanning vendor qualification, factory and site operations, program readiness, and validation strategy for next-generation AI infrastructure.
We partner with teams shipping novel accelerator hardware from first silicon — and the operators, manufacturers, and facilities running the first fleets.
Turn first silicon into a production-ready L11 rack without spending years building an internal validation team.
Clear bonepiles, pass customer qualification on the first try, and protect your margins during compressed ramps.
Accelerate rack commissioning across liquid cooling, power shelves, and fabric to reach signed acceptance faster.
Isolate elusive node, thermal, and fabric faults on-site without waiting weeks on vendor RMA loops.
Cut time-to-workload on high-density GPU clusters so your compute starts generating revenue on schedule.

Co-Founder · Bring-up, validation, debug & sustaining
Robert previously led triage operations for NVIDIA's flagship HGX and DGX programs, taking high-density AI systems from first-article module and tray validation to full L11 rack deployment. He designed rapid-response lab bring-up lines to meet compressed engineering schedules—including triaging, reworking, and redeploying hundreds of next-generation compute nodes in under a week.

Co-Founder · Reliability & NPI
Roger brings 14 years of NPI and systems validation leadership from NVIDIA and Supermicro, including flagship DGX and HGX platform ramps. He architected automated reliability testing and failure-analysis feedback loops that drove critical hardware and firmware fixes directly back to R&D.
AI rack programs put hardware and infrastructure teams in a tough spot: bleeding-edge silicon, compressed ramps, and demands for hyperscale reliability on day one. Your engineers are already at capacity—and your delivery schedule has zero margin for delay.
Resolve critical blockers across factory bring-up, site acceptance, and cluster go-live so racks ship and deploy on schedule—keeping your customers, partners, and workloads moving.
Integrate senior engineering capacity directly into your existing factory or datacenter workflows—scaling to your ramp or deployment schedule without carrying permanent headcount between programs.
With backgrounds spanning reference system engineering and high-volume rack integration, we isolate faults across node, switch, and rack infrastructure—driving clear root-cause ownership across vendors and site teams.
Architect custom runbooks and automated diagnostic coverage using battle-tested validation principles—making execution repeatable and predictable from day one on your floor.

Whether it's a stalled NPI ramp, a growing factory bonepile, or a live cluster escalation you need to close, send us your project scope or book a consulting session with our team. We'll dig into what's happening and align on how to get you unblocked.
sales@racktriage.com · San Jose, California · We respond within one business day