BayernKI

Betreibende Institution: NHR@FAU
Kategorie: Kooperativer Hochschuldienst
Website: https://www.ki-in-bayern.de/de/registration-for-bayernki-access/

Kurzbeschreibung

BayernKI provides Bavarian universities and colleges free access to powerful AI infrastructures. The target group consists of researchers at public universities in Bavaria. The service supports data-intensive AI projects by providing GPU cluster resources such as Helma and LRZ AI Systems. This enables universities to conduct scientific research in AI more efficiently and scalable.

Thematische Einordnung

Dienstart: Center of Competence (Consulting, Training)

Funktionskategorie: High-performance computing (HPC)

Schlagworte: - BayernKI - AI research - High-performance computing - GPU clusters - H100 systems - free access - research infrastructure - NHR@FAU - LRZ - Q&A sessions

Kooperationsstruktur

Betreibende Institution: NHR@FAU

Koordination / Dachorganisation: BayernKI Steuerkreis

Teilnehmende Hochschulen: Alle staatlichen Universitäten und staatlichen Hochschulen für angewandte Wissenschaften, Technischen Hochschulen und Fachhochschulen in Bayern

Kooperationsmodell: Distributed

Governance-Struktur: BayernKI Steering Committee with representatives from the Bavarian Ministry of Science and Art as well as researchers from Bavarian universities.

Geografischer Scope

Räumliche Reichweite: Statewide (one federal state)

Bundesland: Bayern

Finanzierung & Nachhaltigkeit

Finanzierungsmodell: Free of charge for users

Fördergeber: Hightech-Agenda Bayern (HTA)

Umsetzungsphase: Regular operation (permanent)

Zielgruppen & Zugang

Zielgruppen: -

Zugangsvoraussetzungen: Prerequisites

Zugangsmodell: Application required, activation by IT department necessary, self-registration after login not specified, automatic access for all university members not provided.

Ausführliche Beschreibung

BayernKI – The central AI infrastructure for researchers in Bavaria
BayernKI is a joint initiative of the Center for High Performance Computing Erlangen (NHR@FAU) and the Leibniz Computing Center of the Bavarian Academy of Sciences (LRZ) in Garching. It provides researchers at Bavarian universities and colleges free access to state-of-the-art AI computing systems. This infrastructure is part of the Hightech Agenda Bayern and was developed to strengthen scientific AI research in the region. With powerful GPU systems such as the Cerebras CS-2 and several clusters equipped with Nvidia H100 graphics cards (e.g. HELMA, Fritz, Alex, and the LRZ AI Systems), immense computing power is available – ideal for training large AI models, complex simulations, or analyzing large datasets.
The particular added value of BayernKI lies not only in the hardware but also in comprehensive support. Researchers

Technische Angaben

Eingesetzte Technologien: - REST - WebDAV - GitLab - Nextcloud - Zoom - HPC - GPU - Cerebras CS-2

Plattform: -

Datenstandort: Computing Center Erlangen, Bavaria and Computing Center Garching, Bavaria

Schnittstellen: [Helma, Fritz, Alex, LRZ AI Systems, Cerebras CS-2]

Service-Informationen

Leistungsumfang: Free access to GPU and CPU resources for researchers at Bavarian public universities and colleges. Available are 200 x Nvidia H100 (94 GB HBM2e) on Helma (NHR@FAU) and 120 x Nvidia H100 (94 GB HBM2e) on the LRZ AI Systems, including access to the experimental Cerebras CS-2 system. No usage limits specified; support provided via Q&A sessions, email, and servicedesk.

Support-Angebot: Email support via hpc-support@fau.de for NHR@FAU and via servicedesk.lrz.de for LRZ, FAQ available on the website.

Schulungsangebote: BayernKI offers an extensive course program as well as regular Q&A sessions as webinars via Zoom. In addition, documentation and tutorials for using the AI infrastructure are available on the websites of NHR@FAU and LRZ.

Kontakt & Links

Kontakt: hpc-support@fau.de, https://servicedesk.lrz.de/, https://hpc.fau.de/about-us/people/liaison-scientists/bayernki-meetup/

Dienst-URL: https://www.ki-in-bayern.de/de/registration-for-bayernki-access/

Dokumentation: https://doc.nhr.fau.de/clusters/helma/ https://doc.nhr.fau.de/clusters/fritz/ https://doc.nhr.fau.de/clusters/alex/ https://doku.lrz.de/lrz-ai-systems-11484278.html

Erfasst: 2026-01-11
Quelle: https://www.ki-in-bayern.de/de/