hessian.AI offers cutting-edge High-Performance Computing (HPC) infrastructure, specifically designed for AI model training and development. Our cluster, with up to 632 NVIDIA A100 GPUs, handles complex AI projects and includes specialized components like 4 Graphcore Bow-200 nodes and an integrated Nvidia Developer Toolkit. Committed to continuous expansion, we ensure Germany remains at the forefront of AI innovation. This secure environment supports efficient model training, proof-of-concept development, and extensive AI research.
Who Can Apply?
External Users
External applicants are individuals or entities from corporations, research institutions, or governmental organizations that are not affiliated with hessian.ai. This category is for those seeking access to our GPU-powered infrastructure for AI model training and development.
Requirements: External applicants must provide brief project details, including estimated GPU hours and storage needs, project classification, and any special requests. Specific application requirements and procedures can be found in the application form. Note: Additional information may be requested during the review process. If no response is received within a month after requesting more details, the application will be closed, and you will need to start a new one.
Internal Users
Internal applicants are Principal Investigators (PIs) or Research Group Leaders affiliated with hessian.ai. This category is specifically limited to the 22 founding members of hessian.ai, the 22 hessian.ai professorships, and the Research Group Leaders. Note: All other associated members do not have access to the cluster as internal applicants but are welcome to apply as external applicants.
Requirements: Internal applicants must provide the details of the respective Principal Investigator, along with all necessary information, including team member details, TU IDs, and contact information. Note: Additional information may be requested during the review process.
What can I apply for?
Hessian.AI provides powerful computing resources & services tailored for AI projects. With an HPC cluster featuring 632 GPUs, you can efficiently train even the most complex models. We offer customized hardware, a user-friendly development environment, and comprehensive services, including consultation, training, and workshops. Our team is dedicated to supporting you at every stage of your project, ensuring your success. Discover the full range of opportunities and start your AI journey with us today!
External Applicant: How to Apply for Compute & Services
Explore the application process for external applicants. Watch our overview video, access the application form, and follow the outlined steps to ensure a successful submission for Compute & Services.
Please follow these steps to complete your application
Step 1: Basic Information
Contact Information
Project Title: Enter your project title.
Institution Details: Provide your organization’s name, department, and contact information.
Project Leader: Fill in the project leader’s name and contact details.
Ensure the project leader is responsible for administrative tasks such as distributing and supervising the granted logins and resources.
Step 2: Project Details
Project Classification:
Type, Status, Usage, Framework: Select your project type (Public, Private, Government), its current status, intended use (Training, Testing, etc.), and AI framework.
Project Abstract:
Abstract: The project abstract should be written in English and will be published to showcase ongoing work on the hessian.ai cluster. It should be between 300 to 2,500 characters. Please include a brief description of your project, the expected outcomes, and how our support can contribute to your success.
Step 3: Technical Requirements
GPU & Storage Needs:
GPU Hours & Number: Estimate your monthly GPU usage and the number of GPUs needed.
Storage Requirements: Specify the storage you need per user and for the project overall.
Note: The default disk space for each workspace is 5 TB and 2 GB per user.
Customization:
Indicate any specific requirements, such as handling sensitive data, Docker container needs, or Jupyter Notebook usage.
Step 4: Attachments and Compliance
Attachments: Upload any relevant documents to support your application.
Compliance: Confirm that you will notify hessian.ai of any changes and verify compliance with the EC Dual Use Regulation.
Step 5: Submit
Review & Submit: Ensure all details are correct, then submit your application.
Note: Please note that we may require additional information to proceed with your application. If we do not receive a response from you within a month after requesting further details, your application will be closed, and you will need to start a new one.
Internal Applicant: How to Apply for Compute & Services
Explore the application process for internal applicants. Watch our overview video, access the application form, and follow the outlined steps to ensure a successful submission for Compute & Services.
Please follow these steps to complete your application
Step 1: Principal Investigator Information and Employee Details
Personal Details: Provide all necessary personal details. Please ensure you use the email associated with your organization or hessian.ai.
TU-ID Expiry Date: Enter the TU-ID expiry date (e.g., 1.9.2024).
Note: If you are a non-TUDa PI and don’t have a TU-ID, we will create one for you and your employees. Please also provide the contract end dates for your employees, as TU-IDs will be created with expiry dates.
Note: Ensure phone numbers are correct, as login credentials will be sent via SMS.
Additional Employees: If you have more than 5 employees, please submit an additional application to include their details.
Step 2: Confirmation and Submission
Confirmation: Confirm that all the details you have provided are correct. Agree to notify hessian.ai if any user no longer needs access to the cluster.
Submit Application: Review the information you’ve entered. Once confirmed, click “Senden” (Submit) to send your application.
Note: If any information is missing or incorrect, your application may be delayed. Please double-check all details before submitting.
