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BidSonar is an independent index of public-sector opportunities. We aggregate data from official sources and are not affiliated with any procurement body. Data is licensed under the Open Government Licence v3.0 and the EU TED reuse notice.

    ContractsProcurement of Computing Power for Language Model Training
    Closed contract

    Procurement of Computing Power for Language Model Training

    Tender closed
    7 Oct 2025
    51 weeks ago

    The Gottfried Wilhelm Leibniz University of Hanover is seeking suppliers for the "EU-SAI" project to provide GPU and CPU computing power. This computing power will be used for training a large language model (LLM) that has at least 100 billion parameters and processes a minimum of 12 trillion tokens

    🇩🇪GermanyPublished 7 Sept 2025· 1 years agoviaTED
    Tender closed
    7 Oct 2025
    51 weeks ago
    Tender deadline passed on 7 Oct 2025.

    Decision brief

    4 fields
    • Contract value
      Not disclosed
      Source did not declare a figure
    • Tender closed
      7 Oct 2025
      11 months ago
    • Sector
      Research & Innovation
      Browse related listings
    • Location
      🇩🇪Germany

    Lifecycle

    Closed

    Tender closed on 7 Oct 2025. Awaiting award.

    7 Sept 2025Today7 Oct 2025

    Brief

    The Gottfried Wilhelm Leibniz University of Hanover is seeking suppliers for the "EU-SAI" project to provide GPU and CPU computing power. This computing power will be used for training a large language model (LLM) that has at least 100 billion parameters and processes a minimum of 12 trillion tokens. Suppliers interested in this opportunity should be prepared to deliver high-performance computing resources to support advanced AI research.

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    View on sourceTED

    Original closed notice on the publisher's site

    Publisher
    Publications Office of the European Union
    Licence
    EU 2011/833/EU + TED reuse notice
    Source
    ted.europa.eu
    Record ID
    582542-2025
    GW
    Buyer
    GOTTFRIED WILHELM LEIBNIZ UNIVERSITY HANNOVER
    Sector
    Research & Innovation