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# Mimer AI Factory supercomputer

Facility record `fac-mimer-aif-linkoping` — data source: eurohpc-ju-press-2026-04-21 (https://www.naiss.se/news/2026/04/bull-to-deliver-ai-optimised-supercomputer-for-mimer-ai-factory/); authority tier 1

| Field | Value |
| --- | --- |
| Type | HPC Center |
| Status | Announced |
| Location | Linköping, SE |
| Power capacity | not published MW |
| IT load | not published |
| GPU count | 400 |
| Peak PFLOPS (FP16) | not published |
| Owner | EuroHPC JU |
| Operator | National Academic Infrastructure for Supercomputing in Sweden |
| Announced | 2026-04-21 |
| Operational | not published |

AI-optimised supercomputer for the Mimer AI Factory (AIF), Sweden's EuroHPC AI Factory. EuroHPC JU procurement contract signed with Bull (formerly Eviden) on 2026-04-21; system to be hosted and operated by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at Linköping University. Liquid-cooled BullSequana XH3500 architecture: 100 nodes equipped with NVIDIA GB200 for a total of 400 GPUs, IBM ESS6000 storage connected via S3 gateway servers, 400 Gbit/s Ethernet interconnect using Nokia 7220 switches; software stack based on OpenShift for Kubernetes, Bull SMC, IBM GKLM, and BullSequana Pro AI (operator-stated, 'proposed'). Total budget EUR 29,760,000 for acquisition, delivery, installation and maintenance, co-funded 50% EuroHPC JU (Digital Europe Programme) / 50% Swedish Research Council; NAISS and EuroHPC JU will each control and allocate half of the system's resources. Installation starts in 2026 ('installed at NAISS in Linköping later in 2026' per NAISS). The Mimer AIF initiative itself launched April 2025 and is hosted by NAISS in partnership with the Research Institutes of Sweden (RISE).

## Cite

> Scrutica, "Mimer AI Factory supercomputer" (facility record), https://scrutica.com/facilities/fac-mimer-aif-linkoping; data source: eurohpc-ju-press-2026-04-21; accessed 2026-09-02.

Full interactive record: https://scrutica.com/facilities/fac-mimer-aif-linkoping · Methodology for derived values: https://scrutica.com/methodology#flop-estimation · All programmatic surfaces: https://scrutica.com/agents