Enterprise Hardware RFP Template: GPU Servers, Workstations, and AI Infrastructure

Issuing a Request for Proposal for AI infrastructure is more complex than a standard server RFP. GPU servers involve more interdependent components — interconnect fabric, cooling infrastructure, power delivery, and software licensing — and the market includes a wider range of vendors with dramatically different levels of capability. A weak RFP attracts low-quality responses and makes vendor comparison difficult. A strong RFP accelerates evaluation and protects you legally and commercially throughout the engagement.

Section 1: Company and Project Background

Open your RFP with a concise description of your organization, the AI workloads you are building for (training, inference, or both), your expected scale in GPU count and rack space, your datacenter or colocation environment, and your target go-live date. Vendors use this section to assess whether they can realistically support your project — being specific here filters out vendors who will waste your time.

Section 2: Technical Requirements

• GPU specification: model (H100, L40S, RTX 6000 Ada), memory capacity, interconnect type (NVLink, PCIe), quantity per node
• CPU and memory: processor family, core count, DRAM capacity and speed, NUMA configuration
• Storage: NVMe capacity per node, storage network (InfiniBand, RoCE, or Ethernet), shared storage requirements
• Networking: InfiniBand HDR/NDR or 400GbE, switch fabric architecture, port density
• Power and cooling: per-rack power budget, cooling method (air, liquid, rear-door), PUE targets
• Software: OS compatibility, NVIDIA driver stack, container runtime support, management tooling

Section 3: Commercial and Delivery Requirements

Request binding lead time commitments by line item, not a single system-level estimate. Ask vendors to identify which components carry the longest lead time and what mitigation options exist if those timelines slip. Require vendors to disclose their NVIDIA Partner Network status and OEM authorization for each product line quoted. Payment milestones, acceptance testing criteria, and liability terms for delivery delays should all be specified here.

Section 4: Support and Warranty

• Warranty duration and coverage type (on-site, next business day, 24x7)
• Parts stocking — does the vendor maintain local spare parts inventory?
• Escalation path to GPU manufacturer for firmware and driver issues
• Extended support options (3-year, 5-year) and pricing
• Named support contacts vs. generic helpdesk

The RFP is not just a buying document — it is a risk management tool. Every ambiguity you leave in the RFP becomes a dispute after the purchase order is signed.

How Nexus Compute Helps

Nexus Compute responds to formal enterprise RFPs for GPU servers, AI workstations, networking, and storage infrastructure. Our technical team provides detailed, line-item responses with binding delivery commitments and full disclosure of our NVIDIA and OEM authorization credentials. We can also work with your procurement team prior to RFP issuance to help scope technical requirements — saving evaluation time on both sides. Reach out to our enterprise sales team to begin the process.