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Sole Source Integration of Mpas Atmospheric Tender in USA - 147138453

The COMMERCE, DEPARTMENT OF | NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION has issued a Tender notice for the procurement of a Sole Source Integration of Mpas Atmospheric Dynamical Core Within the Existing Pytorch Framework for the Nws Office of Modeling and Development in Silver Spring, Md in the USA. This Tender notice was published on 13 Aug 2026 and is scheduled to close on 27 Aug 2026, 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. 147138453, while the tender notice number is 142085-26-0014 and Registering on the platform.

Expired Tender

Procurement Summary

Country: USA

Summary: Sole Source Integration of Mpas Atmospheric Dynamical Core Within the Existing Pytorch Framework for the Nws Office of Modeling and Development in Silver Spring, Md

Deadline: 27 Aug 2026

Posting Date: 13 Aug 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 147138453

Document Ref. No.: 142085-26-0014

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

The National Oceanic and Atmospheric Administration-s (NOAA) Acquisition and Grants Office, Eastern Acquisition Division-Kansas City intends to negotiate and award a purchase order, on a sole source basis, under authority of RFO FAR 6.103-1, with small business entity IC Weather LLC for integration and development of MPAS atmospheric dynamical core within the existing PyTorch framework for the NWS Office of Modeling and Development in Silver Spring, MD.
Sole Source Justification:
The sole source determination is based on NOAA-s Sole Source Justification. Only one source is capable of providing the supplies or services required at the level of quality required because the supplies or services ordered are unique or highly specialized. The specific requirement is to adapt the MPAS dynamical core to leverage GPU acceleration for improved compute efficiency, integration into an infrastructure that enables future work on model parameterizations based on machine learning (ML) algorithms, and provides direct access to parameter gradients which may be used to extend NOAA-s data assimilation (DA) capabilities to
4-Dimensional Varational algorithms (4DVAR) as well as enable advanced observation impact studies including Forecast Sensitivity to Observation Impact (FSOI) techniques. The first of these requirements is capable of being met through a proprietary software package that has integrated MPAS into the PyTorch framework. The vendor has demonstrated via the “MPAS-PyTorch” a substantial decrease in the computational time to run a forecast compared with the current FORTRAN version of MPAS. The nature of integration will allow for further testing at higher spatial resolutions that would meet NWS operational requirements, in conjunction with PyTorch / ML versions of physics schemes used in MPAS to further improve computational efficiency, and use of the native gradients computed by PyTorch for 4DVAR and FSOI capabilities.
Since this initial capability exists, it is ...
Notice ID: 142085-26-0014

Department/Ind. Agency: commerce, department of

Sub-tier: national oceanic and atmospheric administration

Office: dept of commerce noaa

Product Service Code: 7a20 - it and telecom - application development software (perpetual license software)

NAICS Code: 518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Inactive Dates: sep 11, 2026

Inactive Policy: 15 days after response date

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