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Secure AI at the Edge for Tactical Environments

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The contract focuses on the development and delivery of hardened artificial intelligence models and compute platforms designed to function securely on edge devices within disconnected or degraded tactical networks. It aims to enable reliable AI operations in challenging environments where traditional connectivity is limited or unavailable, ensuring secure and robust performance for defense applications. Issued by the General Services Administration under the GSA Fas Aas Defense program, this subcontract falls under the NAICS code 334118, which pertains to computer terminal and other computer peripheral equipment manufacturing. The place of performance is located in Washington, and the solicitation was posted on February 26, 2026, with responses due by December 31, 2026. This opportunity targets contractors capable of delivering secure edge computing solutions suited for tactical environments requiring high resilience and security.

General Info

Develop and deliver secure AI models and compute platforms for resilient edge defense networks.

Agency

General Services Administration → GSA Fas Aas Defense (qfe)View Agency

NAICS

334118 - Computer Terminal and Other Computer Peripheral Equipment ManufacturingView NAICS

Place of Performance

Washington, DC, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

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Response Deadline

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Organization & Contact Information

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AgencyGeneral Services Administration → GSA Fas Aas Defense (qfe)
ContactsNo contacts available
OfficeN/A
Organization / Agency
General Services Administration → GSA Fas Aas Defense (qfe)
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Office AddressN/A
ContactsNo contact information available

Full Description

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Deliver hardened AI models and compute platforms that operate securely on edge devices in disconnected or degraded tactical networks.

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