NOVA DAH Infrastructure
The NOVA DAH ecosystem comprises three main computational resources:
High-Performance Computing Server (HPC)
A HPC server designed for machine learning training, deep learning models, scientific simulations, and medium-to-high intensity data analytics pipelines.
- 32-core CPU
- 2× NVIDIA RTX 6000 ADA GPUs
- 7 TB NVMe high-speed storage
Next-Generation HPC
A top-tier high-performance computing system optimized for large-scale AI, generative models, parallel computing, and massive data processing.
- 112 CPU cores
- 2× NVIDIA H100 NVL GPUs (world-class AI performance)
- 500 TB storage
This system provides significantly higher computational power and storage capacity, making it suitable for foundational models, large-scale AI research, and highly intensive workloads
16 Advanced Workstations
Located in the PhD Hall (3rd floor), the NOVA DAH WS consists of:
- 16 Lenovo ThinkStation P5 units
- Intel Xeon processors
- 32 GB RAM each
- NVIDIA RTX 2000 GPUs
- 1 TB SSD per workstation
- Windows 11 Education
- Extensive licensed and open-source software ecosystem
These workstations are particularly suited for teaching laboratories, project development, model prototyping, analytics, visualization, and applied coursework
| TECNOLOGY | NOVA DAH 01 | NOVA DAH 02 | NOVA DAH WS |
|---|---|---|---|
| JupyterHub | ✔ | ✔ | ✔ |
| Anaconda | ✔ | ✔ | ✔ |
| R Studio | ✔ | ✔ | ✔ |
| Analytics & Data Visualization (Power BI, Tableau) | ✘ | ✘ | ✔ |
| GIS Software (ArcGI, PRO, QGIS) | ✘ | ✘ | ✔* |
*Windows 11