Lab Server (`reflex-server-gpu`)

How to Use

Currently this machine is located in the Real-Time Systems Lab (CSE/128) and can only be physically accessed.

Hardware

CPU

Intel Core i5-13600k, 14C20T @ 5.1GHz

RAM

96 GB (48 GB x 2), DDR 5

GPU

Nvidia RTX 4070 Super, with 12 GB of VRAM

Hard Drives

1 TB, NVME SSD, /dev/nvme0, mount point: /

Storage

Software Installation

All software should be installed, if possible, at: /opt/

Your Working Folder

/home/yunfei/Workstation/<Your University ID>
Small but fast

Persistent Data

/mnt/storage/<Your University ID>
Larger but slower

Environment

For package management, Docker is encorgaged to use. You should use either conda or Python venv to manage your Python environment. Please do not install package to the global Python.

⚠️ Caution

⚠️ Please do NOT reboot or shut down the machine. If you do need to reboot, just let me know.

⚠️ Do NOT upgrade the Nvidia Driver, as it will crash everything!

Lab Server (reflex-server-gpu)