Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a Period of 60 (Sixty) Months, According to Conditions Contained in The...

BrazilTenders notice for Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a Period of 60 (Sixty) Months, According to Conditions Contained in The.... The reference ID of the tender is 108313180 and it is closing on 17 Oct 2024.

Tender Details

  • Country: Brazil
  • Summary: Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a Period of 60 (Sixty) Months, According to Conditions Contained in The...
  • BRT Ref No: 108313180
  • Deadline: 17 Oct 2024
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: 90975/2024
  • Purchaser's Detail:
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  • Description:
  • Object: Electronic Auction - Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a period of 60 (sixty) months, according to the conditions contained in the Notice and its annexes.
    UASG Code: 238014
    Notice from from:
  • Documents:

 Tender Notice

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Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a Period of 60 (Sixty) Months, According to Conditions Contained in The... - Brazil Tender

The MINISTRY OF MANAGEMENT AND INNOVATION IN PUBLIC SERVICES, a Government sector organization in Brazil, has announced a new tender for Hiring a Specialized Environment for Training and Inference of Machine Learning and Artificial Intelligence Models for a Period of 60 (Sixty) Months, According to Conditions Contained in The.... This tender is published on BrazilTenders under BRT Ref No: 108313180 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 2024-10-17.

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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