1. The High-Performance Computing is accessible through JupyterLab, the same technology that powers the Google Colab interface. Here, you can load your Jupyter Notebooks and use SLURM to run your code on the available GPUs.
HPC is composed of the following nodes:
| Supermicro SuperServer SYS-1019GP-TT | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x Tesla V100 PCIe 16GB |
| Supermicro SuperServer SYS-1019GP-TT | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x GeForce GTX 1080 |
| Supermicro SuperServer SYS-1019GP-TT | 1 x GeForce GTX 1080 |
| Supermicro SuperServer SYS-1019GP-TT | |
| Gigabyte G190-G30 Gigabyte GPU Server | 2 x Tesla V100 |
You can find the introductory tutorial on SLURM here: https://eee.upd.edu.ph/hpc-access/
2. To easily understand the Virtual Computing Environment, think of your laptop or personal computer but with a higher resources and a 24x7 availability. It supports a wide range of use cases, such as web hosting, application-specific virtual machines, and lightweight data processing workloads.
VE is composed of the following nodes:
| GIGABYTE R282-Z93-00 | 2 x 64 core 2 threads per core AMD EPYC 7742 Processor @ 2.25 GHz |
| Lambda Dual | 1 x 18 core 2 threads per core Intel(R) Core(TM) i9-9980XE CPU @ 3.00GHz |
| Supermicro 828-14 X8QB6/E | 4 x 8 core 2 threads per core Intel Xeon E7 - 4830 2.13GHz 96MiB L3 Cache |