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 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x Tesla V100 PCIe 16GB |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x GeForce GTX 1080 Ti |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x GeForce GTX 1080 |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | |
| Supermicro SuperServer SYS-1019GP-TT | 1 x 6 core Intel(R) Xeon(R) Bronze 3104 CPU @ 1.70GHz | 1 x GeForce GTX 980 |
| Lambda Dual | 1 x 18 core 2 threads per core Intel(R) Core(TM) i9-9980XE CPU @ 3.00GHz | 2 x Quadro RTX 8000 |
| Gigabyte G190-G30 Gigabyte GPU Server | 2 x 12 core 2 threads per core Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz | 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. This environment can also support vGPU.
VE is composed of the following nodes:
| Supermicro 828-14 X8QB6/E | 4 x 8 core 2 threads per core Intel Xeon E7 - 4830 2.13GHz 96MiB L3 Cache | |
| GIGABYTE R282-Z93-00 | 2 x 64 core 2 threads per core AMD EPYC 7742 Processor @ 2.25 GHz | 1 x NVIDIA RTX A6000 |