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Texas A&M University·Texas

High Performance Computing Cluster

Closes 4/27/2026$8M – $20MRequest for Proposal
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Description

Texas A&M University is seeking a single‑vendor solution to design, supply, install, integrate, and support a new high‑performance computing (HPC) cluster to replace its existing “Grace” supercomputer. The system must be built on x86‑64 processors, include CPU and GPU nodes, a high‑performance storage platform of at least 8 PB usable capacity, and a 400 Gb/s InfiniBand fabric. Delivery, installation, and acceptance must be completed by the end of July 2026, with all hardware shipped FOB Destination to College Station, TX. The solicitation requires submission of a HUB Subcontracting Plan, detailed tariff disclosures, and a sample Certificate of Insurance. Evaluation will be based on best‑value criteria, technical compliance, trade‑in valuation, and pricing. • Provide ~1,200 compute nodes (including CPU‑only, GPU‑accelerated, and large‑memory configurations) plus networking and storage infrastructure. • Install the equipment in the West Campus Data Center, integrate with existing campus networks, and provide next‑business‑day support and a 5‑year warranty. • Submit a complete HUB Subcontracting Plan; failure to do so results in automatic disqualification.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Stephen Wolfe(Contact)

[email protected]

(979) 845-4570

Key dates

Opened
3/20/2026
Questions due
3/27/2026
Closes
4/27/2026
Projected award
5/4/2026
Duration
6 months

Last updated

Details

Type
Request for Proposal
Industry
Engineering Services
NAICS
541512
Solicitation №
TAMU-RFP-26-4989

Budget estimate

$8,000,000 – $20,000,000

No contract value is disclosed. Based on the bill of materials—≈800 CPU‑only nodes, 100 GPU‑accelerated nodes, 8 PB high‑performance storage, InfiniBand fabric, racks, PDUs, installation, 5‑year warranty, and next‑business‑day support—the total procurement cost is likely in the $10 million to $20 million range. The university’s budget for a flagship research platform of this scale typically falls within that band, with the higher end reflecting premium GPU nodes and large‑scale storage.

AI estimate from the solicitation

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