Grant · 60NANB26D053
NIST AI grant to University of Washington (60NANB26D053)
National Institute of Standards and Technology (Department of Commerce) awarded a grant with University of Washington on 10 Sep 2026 for: Purpose: the university of washington (uw) will deploy the husky secure computing data & infrastructure project to build a secure, integrated computing and data platform for advanced artificial intelligence (AI)… $10M obligated.
In context
Across 411 awards- Ranks 4 of 11 Commerce awards in this ledger by obligated dollars, 11% of the agency's $94.5M.
- University of Washington holds 2 awards here, $51.1M obligated in total.
- Period of performance: 24 months, one of 101 AI awards signed in FY2026.
Award record
Source per value- Award IDThe PIID for contracts and IDVs, the FAIN for grants and cooperative agreements, exactly as USAspending.gov lists it.
- 60NANB26D0531
- Action dateDate the award was signed (contracts and IDVs) or the base action date (assistance), from the USAspending.gov award record.
- 2026-09-101
- Fiscal yearFederal fiscal year of the action date. FY2025 runs 1 October 2024 to 30 September 2025.
- FY20261
- AgencyTop-tier awarding agency, as named by USAspending.gov.
- Department of Commerce1
- Sub-agencyAwarding sub-tier agency (for example Department of the Army inside the Department of Defense). Empty when it equals the agency.
- National Institute of Standards and Technology1
- RecipientThe contractor or grantee on the award, as registered in SAM.gov and shown by USAspending.gov.
- University of Washington1
- Parent companyThe recipient's parent entity in SAM.gov, when it differs from the recipient.
- University of Washington Board of Regents1
- Award typeThe award vehicle. Contracts and orders spend money; IDIQs, BPAs and GWACs are vehicles that orders are placed against; grants and cooperative agreements are financial assistance.
- Grant1
- Obligated $Total federal dollars obligated on the award to date (sum of all actions, including de-obligations). This is money committed, not a ceiling.
- $10,000,0001
- Performance startStart of the period of performance.
- 2026-10-011
- Performance endCurrent end of the period of performance (or last date to order for an IDV).
- 2028-09-301
- Assistance listingAssistance Listing (CFDA) program number and title for grants and cooperative agreements.
- 11.617: Congressionally-Identified Projects1
- Award descriptionThe award description as the agency entered it, cut at about 420 characters.
- PURPOSE: THE UNIVERSITY OF WASHINGTON (UW) WILL DEPLOY THE HUSKY SECURE COMPUTING DATA & INFRASTRUCTURE PROJECT TO BUILD A SECURE, INTEGRATED COMPUTING AND DATA PLATFORM FOR ADVANCED ARTIFICIAL INTELLIGENCE (AI) RESEARCH AND EDUCATION. THE PLATFORM WILL COMBINE HETEROGENEOUS HIGH-PERFORMANCE COMPUTING GPU-ACCELERATED SYSTEMS FOR LARGE-SCALE AI TRAINING AND INFERENCE AND CPU-RICH SYSTEMS FOR SIMULATION, DATA…1
Source
- USAspending.gov award 60NANB26D053 accessed 2026-11-11
Obligated is money committed to date. Ceiling is the base-and-all-options value: the most the award can reach. The two are never added.
Browse
Related awards
All 411 awards-
NIH AI cooperative agreement to University of Washington (U19AI181881)
National Institutes of Health · University of Washington · Cooperative agreement ·
$41.1M obligated -
NIST AI grant to DeepSig (5160IF2411)
National Institute of Standards and Technology · DeepSig Inc. · Grant ·
$10M obligated -
NIST AI grant to Carnegie-Mellon University (60NANB24D231)
National Institute of Standards and Technology · Carnegie-Mellon University · Grant ·
$6M obligated -
NIST AI order to GBS Solutions (1333ND26FNB770130)
National Institute of Standards and Technology · GBS Solutions Corp. · Delivery order ·
$1.75M obligated · $7.26M ceiling -
USPTO AI contract to Accenture Federal Services (1333BJ24C00280005)
U.S. Patent and Trademark Office · Accenture Federal Services · Definitive contract ·
$27.8M obligated · $55.3M ceiling
Spot a change?
New modification, option exercised or a figure that moved? Email hello@federalaicontracts.com and we refresh this row from USAspending.gov.