Department GPU Servers: Difference between revisions
No edit summary |
mNo edit summary |
||
| Line 1: | Line 1: | ||
The department has purchased and installed | The department has purchased and installed 3 new GPU servers that are physically located in Baker Hall. They have 64GB of RAM, 32 core processors and NVIDIA RTX 4090 GPU cards. You can log into them just as you would with the [[Linux_and_department_servers|hydras]], with your stats ID and password. They are named: | ||
ghidorah1.stat.cmu.edu | ghidorah1.stat.cmu.edu | ||
| Line 8: | Line 8: | ||
ghidorah3.stat.cmu.edu | ghidorah3.stat.cmu.edu | ||
* ghidorah3 is reserved for MSCF | * ghidorah3 is reserved for MSCF student capstone projects in the fall. | ||
All of them share the same file system with the hydras, which means that whatever you install, save and configure on one of the machines above will also be available in one of the hydras, and viceversa. | All of them share the same file system with the hydras and leviathans, which means that whatever you install, save and configure on one of the machines above will also be available in one of the hydras, and viceversa. | ||
A simple terminal command to check GPU usage is <code>nvidia-smi</code>, which shows several pieces of information about the GPU and the corresponding CUDA drivers installed. This command also supports checks at regular time intervals (in seconds). For example, to check usage every 2 seconds use <code> nvidia-smi -l 2</code> | A simple terminal command to check GPU usage is <code>nvidia-smi</code>, which shows several pieces of information about the GPU and the corresponding CUDA drivers installed. This command also supports checks at regular time intervals (in seconds). For example, to check usage every 2 seconds use <code> nvidia-smi -l 2</code> | ||
| | ||
Revision as of 19:19, 5 March 2026
The department has purchased and installed 3 new GPU servers that are physically located in Baker Hall. They have 64GB of RAM, 32 core processors and NVIDIA RTX 4090 GPU cards. You can log into them just as you would with the hydras, with your stats ID and password. They are named:
ghidorah1.stat.cmu.edu
ghidorah2.stat.cmu.edu
ghidorah3.stat.cmu.edu
- ghidorah3 is reserved for MSCF student capstone projects in the fall.
All of them share the same file system with the hydras and leviathans, which means that whatever you install, save and configure on one of the machines above will also be available in one of the hydras, and viceversa.
A simple terminal command to check GPU usage is nvidia-smi, which shows several pieces of information about the GPU and the corresponding CUDA drivers installed. This command also supports checks at regular time intervals (in seconds). For example, to check usage every 2 seconds use nvidia-smi -l 2
