Germany – Mainframe hardware – Cluster-Hardware 2026
Opportunity Score
Confidence: 40%
Complexity: medium
22 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation
AI Analysis Summary
The tender is for the supply of cluster hardware (GPU nodes, compute nodes, MDS nodes, JBODs) for the Leibniz Institute for Astrophysics Potsdam (AIP). It is an open procedure under EU Directive 2014/24. The notice indicates one main lot but the structured data lists three lots, with only the first lot having detailed information. No estimated value is provided. Submission deadline is 2026-07-07, with electronic submission required. Award criteria are price (40%), compliance with specification (45%), and guarantee (15%). Variants are allowed. Language is restricted to German.
Strengths
Documents available
Open procedure
Medium complexity
Analysis may be incomplete
Only part of the procurement documentation was analyzed. Additional eligibility requirements, certificates, or submission documents may exist in the remaining tender documentation.
Key Requirements
- Variants are allowed
- Late submission of documents is excluded
- Electronic submission required
Award Criteria
Preis
Preis
| Criterion | Type |
|---|---|
Preis Preis | Price |
Buyer
Name
Leibniz-Institut für Astrophysik Potsdam (AIP)
Location
Potsdam, DEU
Website
Identifier
DE258771231
Lots (3)
Supply of 1 GPU node, 1 compute node, 1 MDS node, and 4 JBODs for cluster extension and renewal.
No lot-specific description provided in structured data.
No lot-specific description provided in structured data.
Procurement Details
Publication
03 Jun 2026
Deadline
07 Jul 2026, 08:00
Procedure
open
Contract
supplies
Language
DEU
Publication #
385004-2026
Classification
Performance: Germany
Documents (2)
Opportunity Score
Confidence: 40%
Complexity: medium
22 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation