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Hardware Enabled AI Acceleration Assessment Event Tender - 130213492

The DEPT OF DEFENSE | U.S. SPECIAL OPERATIONS COMMAND (USSOCOM) has issued a Tender notice for the procurement of a Hardware Enabled AI Acceleration Assessment Event in the USA. This Tender notice was published on 15 Nov 2025 and is scheduled to close on 09 Dec 2025, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 130213492, while the tender notice number is Hardware_Enabled_AI_AE and Registering on the platform.

Procurement Summary

Country: USA

Summary: Hardware Enabled AI Acceleration Assessment Event

Deadline: 09 Dec 2025

Posting Date: 15 Nov 2025

Other Information

Notice Type: Tender

TOT Ref.No.: 130213492

Document Ref. No.: Hardware_Enabled_AI_AE

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

Purpose
SOFWERX, in collaboration with USSOCOM J24 Intelligence Data Science Team (IDST), will host an Assessment Event (AE) to determine the best solution to upgrade a remote location with high-performance Graphics Processing Unit (GPU) servers to support large language model (LLM) workloads for up to 100+ concurrent users. The system will be fully turnkey, including all GPUs, memory, storage, networking, cooling, and power infrastructure, ready for immediate operation. This configuration ensures fast, reliable Artificial Intelligence (AI) performance today and scalability for future growth.
Background/Synopsis
The U.S. Government’s data science portfolio is rapidly expanding its reliance on largescale AI workloads, especially LLMs and highspeed inference pipelines. To sustain this growth and to maintain a strategic edge, the program requires cutting-edge GPU acceleration, capable of delivering the throughput and memory bandwidth needed for state-of-the-art training, finetuning, and deployment. Advanced GPUs will provide a high-performance, energy efficient, and future ready foundation for advanced AI workloads, while ensuring low response times, reliability, and room for future growth.
Objective
Acquire, deliver, and install/deploy advanced GPU hardware that will add a high bandwidth, energy efficient GPU capability that is immediately ready to power LLM inference, finetuning, and Retrieval-Augmented Generation (RAG) workloads.
The GPUs must b...
Notice ID: HARDWARE_ENABLED_AI_AE

Department/Ind. Agency: DEPT OF DEFENSE

Sub-tier: US SPECIAL OPERATIONS COMMAND (USSOCOM)

NAICS Code: 541715 - RESEARCH AND DEVELOPMENT IN THE PHYSICAL, ENGINEERING, AND LIFE SCIENCES (EXCEPT NANOTECHNOLOGY AND BIOTECHNOLOGY)

Inactive Dates: DEC 24, 2025

Inactive Policy: 15 DAYS AFTER RESPONSE DATE

Documents

Tender Notice

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