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Supply of a High Power Calculator for Machine Learning Model Training and Inference

FranceTenders notice for Supply of a High Power Calculator for Machine Learning Model Training and Inference. The reference ID of the tender is 71819030 and it is closing on 19 Oct 2022.

Tender Details

  • Country: France
  • Summary: Supply of a High Power Calculator for Machine Learning Model Training and Inference
  • FRT Ref No: 71819030
  • Deadline: 19 Oct 2022
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: B22-05339-LAM
  • Purchaser's Detail:
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  • Description:
  • Entitled: Supply of a high power calculator for Machine Learning Model Training and inference
    Object: The purpose of the service aims to provide a high power calculator for the training and inference of machine learning models, responding to use in the development and test of machine learning algorithms for the treatment of complex problems with very important volumes of data (big data).
    Public entity: other organizations
    CPV code: 30000000
    Buying entity: AO / CEA / CEA / Cadarache - Center des Bouches du RhΓ΄ne
    Announcement type: consultation ad
    Main category: supplies
  • Documents:

 Tender Notice

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Supply of a High Power Calculator for Machine Learning Model Training and Inference - France Tender

The COMMISSARIAT FOR ATOMIC ENERGY AND ALTERNATIVE ENERGY (75015 - PARIS), a Government sector organization in France, has announced a new tender for Supply of a High Power Calculator for Machine Learning Model Training and Inference. This tender is published on FranceTenders under FRT Ref No: 71819030 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2022-10-19.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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