Research
Research Environment
WEBLAB has an HPC team which aims to boost deep learning research using the latests advances in computing.
We believe that a good infrastructure plays a critical role in research,
thus we always try to provide our students and researchers with the most cutting-edge available technologies.
GPUs For Deep Learning
The GPU accelerator is now a crucial component for deep learning applications, as it can reduce the training time of neural networks from days to hours.
Students Equipment
At WEBLAB students and researchers have access to local workstations with dedicated NVIDIA GPUs as well as external computing infrastructure, including:
Students Equipment
Our team maintains high grade servers with the fastest NVIDIA GPUs for deep learning available at the Market right now. We deliver multi-GPU environment with impressive speedups for machine learning applications.
| GPU Type | Amount |
|---|---|
| NVIDIA A100 | 1 |
| NVIDIA V100 | 12 |
| NVIDIA RTX 6000 Adaf | 3 |
| NVIDIA RTX A6000 | 12 |
| NVIDIA RTX A5000 | 3 |
| Quadro RTX 8000 | 14 |
| TITAN V | 2 |
| TITAN RTX | 5 |
| NVIDIA GeForce RTX 3090 | 1 |
| NVIDIA GeForce GTX 1070 | 4 |
WEBLAB HPC team
WEBLAB has a special team for HPC and it consists of researchers and engineers who have experiences on working at supercomputer centres, GPU programming and maintaining a GPU server environment. We can provide assistance to improve performance in your deep learning models, and we will provide technical support for all issues you may experience.
Other
A variety of support is available for a fulfilling research life.
- Daily necessities (refrigerator, water server, microwave oven, Nespresso machine, etc.)
- think-cell (presentation software)
- Daily necessities (refrigerator, water server, microwave oven, Nespresso machine, etc.)