The Georgia Superior Computing Useful resource Heart, part of the College of Georgia’s Enterprise Info Expertise Companies, is investing in revolutionary, in-demand tools for its Excessive-Efficiency Computing cluster.
The $2.4 million funding by the college will help analysis computing wants for college in a wide range of disciplines, together with synthetic intelligence, information science and bioinformatics, and will probably be accessible to be used beginning within the fall 2024 semester.
“The funding will enable UGA researchers to experiment with AI approaches extra quickly, take a look at new concepts, and refine AI fashions a lot sooner,” Man Cormier, director of analysis computing for EITS, mentioned. “General, the affect of those assets on AI analysis at UGA will probably be overwhelmingly optimistic, accelerating the tempo of discovery, enabling researchers to sort out extra formidable issues, and fostering collaborative initiatives throughout a number of disciplines.”
The EITS staff will set up 26 new Graphical Processing Unit compute nodes on the Sapelo2 cluster, the excessive efficiency computing cluster answerable for many superior laptop operations on campus. Three extra compute nodes with vital RAM reminiscence to deal with particular workloads will even be put in. GPU compute nodes are extremely specialised processors adept at particular mathematical operations. Initially developed for gaming and video rendering purposes, GPUs have change into the processor of alternative for AI-related purposes, with orders of magnitude will increase in processing time.
“We wish to thank EITS Vice President Tim Chester and Provost S. Jack Hu for his or her help in offering funding wanted to amass this vital new computational useful resource for UGA’s analysis group,” Alan Dorsey, affiliate CIO for analysis in EITS and professor of physics at UGA, mentioned.
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The Georgia Superior Computing Useful resource Heart, part of the College of Georgia’s Enterprise Info Expertise Companies, is investing in revolutionary, in-demand tools for its Excessive-Efficiency Computing cluster.
The $2.4 million funding by the college will help analysis computing wants for college in a wide range of disciplines, together with synthetic intelligence, information science and bioinformatics, and will probably be accessible to be used beginning within the fall 2024 semester.
“The funding will enable UGA researchers to experiment with AI approaches extra quickly, take a look at new concepts, and refine AI fashions a lot sooner,” Man Cormier, director of analysis computing for EITS, mentioned. “General, the affect of those assets on AI analysis at UGA will probably be overwhelmingly optimistic, accelerating the tempo of discovery, enabling researchers to sort out extra formidable issues, and fostering collaborative initiatives throughout a number of disciplines.”
The EITS staff will set up 26 new Graphical Processing Unit compute nodes on the Sapelo2 cluster, the excessive efficiency computing cluster answerable for many superior laptop operations on campus. Three extra compute nodes with vital RAM reminiscence to deal with particular workloads will even be put in. GPU compute nodes are extremely specialised processors adept at particular mathematical operations. Initially developed for gaming and video rendering purposes, GPUs have change into the processor of alternative for AI-related purposes, with orders of magnitude will increase in processing time.
“We wish to thank EITS Vice President Tim Chester and Provost S. Jack Hu for his or her help in offering funding wanted to amass this vital new computational useful resource for UGA’s analysis group,” Alan Dorsey, affiliate CIO for analysis in EITS and professor of physics at UGA, mentioned.
