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Expired Tender Luxembourg ICB TOT Ref. 123510084

Marenostrum5 Ai-Enabled Supercomputer Upgrade Tender - 123510084

Tender notice from Luxembourg, published on 29 Jul 2025.

Exeutive Summary

The EUROPEAN HIGH-PERFORMANCE COMPUTING JOINT UNDERTAKING has issued a Tender notice for the procurement of a Marenostrum5 Ai-Enabled Supercomputer Upgrade in the Luxembourg. This Tender notice was published on 29 Jul 2025 and is scheduled to close on 08 Sep 2025, with an estimated Tender value of EUR 128792280. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 123510084, while the tender notice number is 495332-2025 and Register on the platform.

Key facts

Summary
Marenostrum5 Ai-Enabled Supercomputer Upgrade
Sector
Computer Hardware and Software Services
Materials and Products
Technology and Equipment
TOT Ref. No.
123510084
Document Ref. No.
495332-2025
Country
Luxembourg
Notice type
Tender
Competition
ICB
Publication date
29 Jul 2025
Bid deadline
08 Sep 2025
EMD
Refer Document
Tender value
EUR 128792280
Purchaser ownership
Public
Financier
Other Funding Agencies

CPV classification

30211100Super computer

Purchaser details

Purchaser contact is for registered users

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Tender details

The upgrade of MareNostrum5 represents a significant enhancement aimed at positioning the system as a specialised platform for AI development. With its updated configuration, the new AI-enabled MareNostrum5 will integrate cutting-edge computational resources tailored to meet the unique needs of artificial intelligence applications. These include improved GPU capabilities, optimised for large-scale machine learning workloads, and accelerated hardware designed to support deep learning algorithms, natural language processing, and complex simulations. MareNostrum5 will also feature high-speed interconnects, vast data storage, and advanced energy-efficient cooling systems to handle the enormous computational demands that come with AI research and development. Its strategic location within BSC-CNS will provide seamless access to European AI innovators, ensuring that researchers, developers, and industries can leverage one of the most powerful supercomputers in the world for AI-related tasks, enabling breakthroughs in various domains such as healthcare, climate science, autonomous systems, and the public sector.
Doc Title: MareNostrum5 AI-enabled Supercomputer upgrade
Contract Type: supplies
Document Type: Contract Notice

Reference Number: EUROHPC/2025/OP/0006

Contract Type: supplies

Estimated Value: 128792280 - EUR

Authority Type: eu-ins-bod-ag

Doc Title: MareNostrum5 AI-enabled Supercomputer upgrade

Dispatch Date: 2025-07-25

Publish Date: 2025-07-29

Submission Date: 2025-09-08

Documents

Tender Notice
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Corresponding contract award notice

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Frequently asked questions

The bid deadline for Marenostrum5 Ai-Enabled Supercomputer Upgrade was 08 Sep 2025. Bidding is closed.

This tender has been issued by EUROPEAN HIGH-PERFORMANCE COMPUTING JOINT UNDERTAKING in Luxembourg.

The estimated tender value is EUR 128792280. EMD / bid security details are provided in the tender document.

This tender is financed by Other Funding Agencies.

The tender is classified under the following CPV code(s): 30211100 ~ Super computer ~ https://www.tendersontime.com/luxembourg-tenders/super-computer-tenders/.

The tender notice and related documents are listed in the Documents section above. Select a document to view or download it. Please log in or register to access the documents. If you cannot find additional documents in the Documents section, please log in to your account and Send Document Request from your account section.

The TendersOnTime reference is 123510084. The purchaser document reference is 495332-2025.

See the Similar Tenders section on this page or browse other tenders from Luxembourg.

This tender falls under Computer Hardware and Software Services, Materials and Products, Technology and Equipment in Luxembourg. Suppliers in these sectors can track similar Luxembourg tenders using CPV-based alerts.