We have a collection of lab machines available for anyone to use in the lab. You can physically go to the lab to use them, or you can access them through SSH over the internal WPI network (e.g., ethernet, WPI wifi). To access the machines from off-campus, you must use the VPN. The machines that are available as desktops in the lab are:
These machines have the following specifications:
- Purpose: Machine for Intensive Training Applications (Deep Learning / RL / DRL)
- OS: Ubuntu 22.04.4 LST x86_64
- CPU: Intel Xeon w7-3465x (56) @ 4.6 Ghz
- Memory (RAM): 128 GB
- GPU: 4 * NVIDIA RTX A6000 (Each 48 GB ) -- Total: 192 GB VRAM
- Host: Precision 7960 Tower
- Kernel: 6.5.0-1027-oem
- Packages: dpkg , snap
- Shell: bash/zsh
- Purpose: Machine for the Robot Control (UR10) and Deep Learning Inference Deployment
- OS: Ubuntu 22.04.5 LST x86_64
- CPU: Intel i7-14700 (28) @ 5.3 Ghz
- Memory (RAM) : 32 Gb (To be Upgraded)
- GPU: Intel Integrated (Generic Graphics) - When Intensive inference switch to this
- GPU: NVIDIA GeForce RTX 4090 - 24 GB VRAM
- Host: Precision 3680
- Kernel: 6.8.0-40-generic
- Packages: dpkg, snap
- Shell: zsh , bash, ohmyzsh
You are given an account on all of the machines that can be used for SSH and graphical login.
Admin Accounts are handled by Professor /PhD
Athena Handled Currently by Uday Girish (reach on umaradana@wpi.edu)
Email or message Prof. Constantinos Chamzas if you need software natively installed on the lab machines. For most applications, you should use docker (which you have permissions for on the lab machines), conda (installed by default), or other local installation methods.