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    Procurement of GPU computing resources for AI-based climate and weather modelling

    Danish Meteorological Institute (DMI)

    Procurement of GPU computing resources for AI-based climate and weather modelling

    1. Competition notice published

      Aug 10, 9:11 AMAugust 10, 2026 9:11 AM

    2. Change in competition

      Sep 3, 9:52 AMSeptember 3, 2026 9:52 AM

    3. Change in competition

      Sep 9, 11:26 AMSeptember 9, 2026 11:26 AM

    4. Change in competition

      Sep 15, 9:28 AMSeptember 15, 2026 9:28 AM

    5. Tender submission deadline

      Sep 29, 6:00 AMSeptember 29, 2026 6:00 AM

    6. Tender validity period

      Dec 29, 7:00 AMDecember 29, 2026 7:00 AM

    Brief

    Tender search/Danish Meteorological Institute (DMI)/Procurement of GPU computing resources for AI-based climate and weather modelling
    Brief

    Data og analyse

    Danmarks Meteorologiske Institut needs services for the procurement of GPU computing resources for AI-based climate and weather modelling through a framework agreement over 4 years, with a maximum total value of 50,000,000 DKK. The resources will provide scalable computing capacity for large-scale model training, inference, simulations, and other computational workloads, supporting modern forecasting and climate analysis systems. Award criteria are Price (70%) and Quality (30%). Qualification requirements include a minimum equity of 250,000,000 DKK in the most recently completed financial year, and 1 reference of delivery of GPU computing resources with 8× NVIDIA H100 GPUs per node or equivalent for AI-based modelling, completed within the last 2 years.

    About the bid

      Recent advances in weather and climate modelling, combined with machine learning methods, have significantly increased the computational requirements of the Contracting Authority associated with modern forecasting and climate analysis systems. These activities rely on the processing of large datasets and computationally intensive workflows. The procured GPU computing resources will provide the scalable computing capacity required to support large-scale model training, inference, simulations, and other computational workloads across the Contracting Authority’s research and operational environments.

      Contact name
      Stine Schou Kristiansen
      Contact phone
      72545986
      Contact email
      koncernindkoeb@kefm.dk
      Address
      Sankt Kjelds Plads 11, 2100 København Ø

    Custom Assessment Criteria

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    Award Criteria

    • Description

      See Tender Conditions section 6.1.1.

    • Description

      The sub-criteria Quality consists of seven sub-sub-criterion: ER 1: High-speed compute fabric (10 %). ER2: GPU Scalability 2 (20 %). ER3: GPU Scalability 3 (20 %). ER4: Storage 4 (10%). ER5 Storage 5 (10%). ER6: Dependency installation (10 %). ER7: Remote access (20 %). See Tender Conditions section 6.2.1.

      Sub-criteria

      Description

      High-speed compute fabric.

      Description

      GPU Scalability 2.

      Description

      GPU Scalability 3.

      Description

      Storage 4.

      Description

      Storage 5.

      Description

      Dependency installation.

      Description

      Remote access.

    Qualification requirements

    • Description

      The tenderer must have a minimum equity of 250.000.000 DKK in the most recently completed financial year

      Documentation Requirement

      The tenderer’s most recently approved annual report, or other documentation evidencing equity, such as an auditor-certified statement.

    • Description

      The tenderer must provide 1 reference of delivery of GPU computing resources with 8× NVIDIA H100 GPUs per node or equivalent for AI-based modelling. The reference must have been completed within the last 2 years, counted from the deadline for submission of tenders. The reference must include date, recipients and a brief description. The reference is considered completed when the GPU computing resources have been made available to the contracting party.

      Documentation Requirement

      The tenderer's ESPD or the attached separate document is considered as documentation of technical and professional ability. However, the Contracting Authority reserves the right to verify information, for example, by contacting the listed contacts of the references.

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    See the full notice

    Contracting authority
    Danish Meteorological Institute (DMI)
    Title
    Procurement of GPU computing resources for AI-based climate and weather modelling
    Type
    CompetitionFramework agreementPrequalification
    Main code
    72310000Data-processing services
    Supplemental codes
    72000000IT services: consulting, software development, Internet and support72317000Data storage services
    Estimated value
    DKK 50,000,000.00
    Duration
    4 years

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