Enterprise GPU Servers Service for Artificial Intelligence
Overview
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SUMMARY
DESCRIPTION
The issuing organization is seeking a vendor to provide enterprise GPU server services to support artificial intelligence workloads. The scope includes commercially available AI computing infrastructure, associated software licenses, and manufacturer warranty support for enterprise artificial intelligence, machine learning, and high-performance computing environments.
The requested solution may include integrated AI pod architectures such as vendor-supplied racks, cabinets, cooling infrastructure, and related support equipment typically offered as part of a commercial deployment. Required capabilities also include enterprise AI hardware infrastructure, high-performance GPU servers, rack-scale and pod-scale AI computing systems, AI inference servers, systems integration of commercial AI hardware, OEM software licensing, 25 Gb Ethernet interfaces, and NVIDIA BlueField-3 single-port 400 GbE DPUs or equivalent.
Questions are due no later than July 31, 2026. The anticipated contract term is one year.
Similar RFPs
Frequently asked questions
- When is the submission deadline?
- Submissions are due August 17, 2026.
- Who is a good fit for this opportunity?
- Enterprise AI infrastructure provider or OEM
- Experience delivering GPU clusters for AI, ML, and HPC workloads
- Capability to supply rack-scale or pod-scale AI systems
- Expertise in systems integration for commercial AI hardware
- Authorized reseller or partner for major GPU and networking manufacturers
- Ability to provide OEM software licensing and manufacturer warranty support
- Strong networking capability including high-speed Ethernet and DPU-based architectures
- Capacity to support federal or large enterprise deployments in the United States
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.