GPU Server Burn-In Process
NTS burn-in exercises GPU servers under representative load before ship. The goal is to surface thermal, PCIe, memory, and fabric faults in staging, not after the rack is live in a customer facility.
What we exercise
- GPU stress with GEMM and multi-GPU collectives where the config supports them
- CPU, memory, and storage soak aligned to the BOM
- NIC and fabric link checks for InfiniBand or Ethernet configs
- Firmware and BMC baseline verification against the release checklist
Burn-in duration and pass criteria depend on GPU count, cooling mode, and program risk. Results feed the ship packet so receiving teams know what was validated. Pair burn-in with BOM validation and rack integration for full cell readiness.
Contact NTS to include burn-in on your next GPU server or rack order.
Working with NTS
Share workload notes, target GPU class, power limits, and the contract vehicle you intend to use. NTS returns a validated BOM, staging options, and a quote package your contracting office can review. USA build and burn-in keep serial-tracked acceptance records with the shipment.
Related resources include the AI and GPU infrastructure guide, public-sector procurement guide, contract vehicles directory, and remote POC test drive when you need evidence before PO. Contact NTS to schedule an architecture review or request a CLIN-aligned quote.
Next steps
Bring workload notes, power limits, and your preferred contract vehicle. NTS returns a validated BOM, staging scope, and a quote package ready for contracting review. USA build and burn-in keep acceptance records with the shipment so rack integration starts from a known-good image.
NTS is a USA-based integrator: configure in Fremont, validate power and fabric assumptions, then ship with documentation your contracting and operations teams can use without rediscovering the BOM.
If you already have a draft part list, send it with power limits and delivery constraints. NTS will mark risks early—PCIe budget, PDU draw, fabric oversubscription—before the purchase order locks the wrong assumptions.
NTS documents firmware baselines, BMC settings, and acceptance criteria with every shipment so operations and contracting teams share one source of truth after the rack lands.
Scale-out stays coherent when the first node and the tenth rack share the same image, fabric assumptions, and spare matrix—that is the NTS delivery model.
