Prometheus is CYENS’s flagship deep learning cluster, featuring powerful NVIDIA GPUs, AMD EPYC processors, and high-performance Lustre storage. Running Rocky Linux with Slurm job scheduling, it provides researchers with the computational resources needed for cutting-edge AI and machine learning research.
Access state-of-the-art GPU computing, pre-configured software environments, and expert support to accelerate your research from concept to publication.
Enterprise GPUs
Advanced NVIDIA A5000 and A6000 Ada GPUs optimized for AI training, inference, and scientific computing workloads.
High-Performance CPUs
Professional-grade AMD EPYC processors delivering exceptional compute power for parallel processing and data analysis.
Parallel Storage
High-throughput Lustre filesystem designed for handling large-scale datasets and collaborative research projects.
Deep Learning & AI
Large Language Models: Train and fine-tune transformer architectures, from BERT to GPT-style models for natural language processing and generation.
Computer Vision: Develop advanced image recognition, object detection, and generative AI models for visual understanding and creation.
Neural Architecture Search: Explore automated machine learning and optimize neural network designs for specific applications.
Scientific Computing
Computational Biology: Analyze genomic sequences, protein folding simulations, and bioinformatics workflows for medical research.
Climate Modeling: Run complex atmospheric and oceanographic simulations to understand climate change patterns and predictions.
Materials Science: Simulate molecular dynamics and quantum mechanical calculations for new material discovery and optimization.
Data Analytics
Big Data Processing: Handle massive datasets with distributed computing frameworks for statistical analysis and pattern recognition.
Time Series Analysis: Process financial, sensor, and IoT data streams for predictive modeling and anomaly detection.
Graph Neural Networks: Analyze complex network structures for social media analysis, recommendation systems, and knowledge graphs.
Research Examples
Real-world applications and success stories from our research community
Computer Vision Research
Train state-of-the-art object detection models using frameworks like YOLO and R-CNN for autonomous vehicle navigation, medical imaging analysis, and satellite imagery processing.
Natural Language Processing
Develop multilingual chatbots, sentiment analysis systems, and document summarization tools using transformer architectures and attention mechanisms.
Generative AI
Create novel content generation systems including text-to-image models, music composition algorithms, and synthetic data generation for privacy-preserving research.
Scientific Simulation
Run molecular dynamics simulations for drug discovery, weather prediction models, and particle physics experiments requiring massive parallel computation.
Collaborative Research
Support multi-institutional projects with shared datasets, reproducible environments, and scalable computing resources for breakthrough discoveries.