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Purchase of 93 Points of Two Types of Deep Learning Gpu Workstations for Artificial Intelligence Software and Education and Training Equipment

KoreaTenders notice for Purchase of 93 Points of Two Types of Deep Learning Gpu Workstations for Artificial Intelligence Software and Education and Training Equipment. The reference ID of the tender is 72779386 and it is closing on 19 Oct 2022.

Tender Details

  • Country: South Korea
  • Summary: Purchase of 93 Points of Two Types of Deep Learning Gpu Workstations for Artificial Intelligence Software and Education and Training Equipment
  • KRT Ref No: 72779386
  • Deadline: 19 Oct 2022
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: 394545455
  • Notice Type: Tender
  • Document Ref. No.: 20220923590-00
  • Purchaser's Detail:
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  • Description:
  • Artificial Intelligence Software Department Educational Training Equipment Deep Learning GPU Workstation 2 Types 93 Points Purchase - Reference Number: 12228270300 - Budget Allocation: 437,608,400 - Estimated Price: 394,545,455 - (VAT: 39,454,545 KRW) - Bid Start Date: 2022/10/17 10:00:00 - Closing date for bidding: 10/19 2022 10:00:002e38f84e814829b79c96333ef53979d4
  • Documents:

 Tender Notice

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Purchase of 93 Points of Two Types of Deep Learning Gpu Workstations for Artificial Intelligence Software and Education and Training Equipment - Korea Tender

The KOREA POLYTECHNIC UNIVERSITY SEONGNAM CAMPUS, a Government sector organization in South Korea, has announced a new tender for Purchase of 93 Points of Two Types of Deep Learning Gpu Workstations for Artificial Intelligence Software and Education and Training Equipment. This tender is published on KoreaTenders under KRT Ref No: 72779386 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 394545455, 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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