GPU Cluster System
ID: N6893625Q0044Type: Presolicitation
AwardedMay 6, 2025
$354.4K$354,433
AwardeeCDW Government LLC Vernon Hills IL 60061 USA
Award #:N6893625P0144
Overview

Buyer

DEPT OF DEFENSEDEPT OF THE NAVYNAVAL AIR WARFARE CENTERCHINA LAKE, CA, 93555-6018, USA

NAICS

Computer Terminal and Other Computer Peripheral Equipment Manufacturing (334118)

PSC

IT AND TELECOM - NETWORK: ANALOG VOICE PRODUCTS (HARDWARE AND PERPETUAL LICENSE SOFTWARE) (7G20)

Original Source

https://sam.gov/opp/ce29ccd60380458eba84a397e4e817bb/view
Timeline
    Description

    The Department of Defense, specifically the Naval Air Warfare Center, is seeking proposals for a GPU Cluster System as part of a presolicitation notice. This procurement aims to update the technical specifications for the GPU Cluster System, which is critical for enhancing computational capabilities in defense applications. The deadline for submission of proposals has been extended to April 17, 2025, and interested parties can reach out to Madelene Perez at madelene.j.perez.civ@us.navy.mil or Erin K Strand at erin.k.strand.civ@us.navy.mil for further inquiries.

    Files
    Title
    Posted
    Technical Specs.docx
    The document outlines the specifications for a Machine Learning (ML) Development Operations GPU Server intended for government procurement. The proposed configuration includes a dual Xeon-P 8468V CPU, eight Nvidia H100 GPUs, and a substantial 512GB of DDR5 RAM. It features a 960GB M.2 OS drive and eight SSD data drives with a total capacity of 15.36TB, along with dual 10/25 GbE NIC connections for high-speed networking. Additionally, the package includes a one-year software environment for ML development, which comprises various user management features, model checkpointing, priority scheduling, and resource metering. This document is structured to detail both the hardware and software requirements for a sophisticated ML environment, emphasizing the need for modern library support and system monitoring. Its relevance is situated within the context of federal and state RFPs for technological solutions aimed at enhancing government capabilities in data processing and machine learning applications.
    Lifecycle
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    GPU Cluster System
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    GPU Cluster System
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