Department GPU Servers - Revision history

Ajshen at 02:59, 29 June 2026

2026-06-29T02:59:59Z

← Older revision		Revision as of 02:59, 29 June 2026
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			[[Category:Delete Me]]

			Delete Me: redundant with Linux and department servers page

	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:		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:

Areinhar at 19:19, 5 March 2026

2026-03-05T19:19:23Z

← Older revision		Revision as of 19:19, 5 March 2026
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	The department has purchased and installed 2 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:		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
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	ghidorah3.stat.cmu.edu		ghidorah3.stat.cmu.edu

	* ghidorah3 is reserved for MSCF ~~students~~ in the fall.		* 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>

Jacobg2 at 16:19, 30 January 2026

2026-01-30T16:19:55Z

← Older revision		Revision as of 16:19, 30 January 2026
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	The department has purchased and installed 2 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:		The department has purchased and installed 2 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:

	~~[http://~~ghidorah1.stat.cmu.edu~~/ ghidorah1.stat.cmu.edu]~~		ghidorah1.stat.cmu.edu

	~~[http://~~ghidorah2.stat.cmu.edu~~/ ghidorah2~~.stat.cmu.edu]		ghidorah2.stat.cmu.edu

			ghidorah3.stat.cmu.edu

			* ghidorah3 is reserved for MSCF students 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, 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.

Jacobg2: Removing ghidorah3 reference for mscffiles usage.

2024-08-27T12:49:02Z

Removing ghidorah3 reference for mscffiles usage.

← Older revision		Revision as of 12:49, 27 August 2024
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	[http://ghidorah2.stat.cmu.edu/ ghidorah2.stat.cmu.edu]		[http://ghidorah2.stat.cmu.edu/ ghidorah2.stat.cmu.edu]

	~~[http://ghidorah2.stat.cmu.edu/ ghidorah3.stat.cmu.edu]~~

	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, 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.

Skipper: Created page with " The department has purchased and installed 2 new GPU servers that are physically located in Baker Hall. They have 64GB of RAM, 32 core processors and NVIDIA RTX 4090 GPU..."

2024-03-30T00:03:20Z

Created page with " The department has purchased and installed 2 new GPU servers that are physically located in Baker Hall. They have 64GB of RAM, 32 core processors and NVIDIA RTX 4090 GPU..."

New page

The department has purchased and installed 2 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:

[http://ghidorah1.stat.cmu.edu/ ghidorah1.stat.cmu.edu]

[http://ghidorah2.stat.cmu.edu/ ghidorah2.stat.cmu.edu]

[http://ghidorah2.stat.cmu.edu/ ghidorah3.stat.cmu.edu]

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. 

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>

 