AI-LAB
AI-LAB is designed exclusively for students at Aalborg University, offering high-performance computing (HPC) right at your fingertips. Think of it as a mini supercomputer, packed with GPUs, making it a perfect playground for training deep learning models, running simulations, and performing high-speed data analysis.
What is AI-LAB?
AI-LAB is a high-performance computing (HPC) platform developed for students and educators at Aalborg University. It functions like a mini supercomputer, equipped with advanced hardware, including NVIDIA GPUs, designed to handle computationally intensive tasks. Whether you're training deep learning models, analyzing large datasets, processing images and videos, or running complex simulations, AI-LAB provides the necessary power and flexibility.
The platform integrates user-friendly software, such as PyTorch, TensorFlow, and MATLAB, and utilizes tools like Slurm for job scheduling and Singularity for containerization, making it accessible even to those with limited technical expertise.
Introduction to AI-LAB
Basic information and instructions for first-time users of AI-LAB.
- Training Deep Learning Models: Utilize the GPUs to train or fine-tune neural networks.
- Image and Video Analysis: Perform high-speed analysis and processing of visual data.
- Data Simulation and Analysis: Run large-scale simulations and data analysis tasks efficiently.
- Academic Research and Projects: Use AI-LAB for a wide range of research projects that require substantial computational resources.
- Coursework and Learning: Use it as an educational tool, to gain hands-on experience with high-performance computing.
To effectively use AI-LAB, you'll need to learn the queueing mechanism and the concept of containerization. Familiarity with the Linux terminal is beneficial but not mandatory, as our comprehensive guides is available to help you learn.
Learn the Key Features
Discover the essential features of AI-LAB.
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High-Performance Computing (HPC)
AI-LAB provides students with access to powerful computing resources, including 11 nodes equipped with 8 L4 NVIDIA GPUs, enabling complex computational tasks.
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Deep Learning Capabilities
With integrated frameworks like PyTorch and TensorFlow, AI-LAB is optimized for training deep learning models, allowing for faster experimentation and iteration on complex neural networks.
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User-Friendly Software Integration
AI-LAB comes pre-loaded with popular software tools like MATLAB and offers containerization with Singularity, ensuring that even users with limited technical expertise can get started quickly.
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Workload Management
The integration of Slurm for job scheduling allows for efficient resource allocation, ensuring that computational tasks are handled smoothly and efficiently.
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Comprehensive Documentation
Extensive resources are available to guide users through the setup and usage of AI-LAB, with a focus on accessibility for beginners.
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Collaborative Platform
AI-LAB facilitates collaboration among students and researchers by allowing multiple users to work on shared projects, enabling seamless teamwork on complex computational tasks and research initiatives.
Important Information
Not for confidential or sensitive data
With AI-LAB you are only allowed to work with public or internal information according to AAU’s data classification model (classified as levels 0 and 1, respectively).
If you would like to work with confidential or sensitive data (classified as levels 2 and 3), then we support another HPC platform called UCloud.
Not suitable for CPU-only computational tasks
The powerful GPU processors allow users to process large datasets much more efficiently than would be the case with pure CPU processing - given that your application can be parallelised in a GPU compatible manner. At the same time, the AI-LAB platform is not designed for CPU-only computational tasks, and we have alternative recommended platforms, such as UCloud for those needs.
Review the terms and conditions
Before getting started, take a few moments to review the terms and conditions of using AI-LAB, and don't hesitate to reach out to our support team if you have any questions or concerns.