New Computing System Expands AI3 Infrastructure for Machine Learning

The AI Innovation Institute (AI3) has expanded its computing resources with the Nvidia HGX H100, a new high-performance computing system that will enhance AI3’s ability to tackle some of the most computationally demanding machine learning problems, from language, vision and healthcare to education, sustainability and weather modeling.

Equipped with eight NVIDIA’s HGX H100 GPUs and an impressive 6TB of memory, this powerful setup will ensure that the machine can handle large volumes of data and complex calculations at speeds that were previously difficult to achieve, without sacrificing performance.

Steven Skiena, interim director of AI3, said, “This is the most powerful machine in our AI3 computing cluster, and it is being kept quite busy by our students.”

PhD student Panagiotis Kaliosis, in the Department of Computer Science, said, “I found the new AI3 Cluster really useful. We are currently working with cutting-edge Large Language Models (LLMs), such as Llama and DeepSeek, which require significant computational resources that are now more easily accessible. We are now on track to submit a new paper that makes a timely contribution in the intersection of Computer Science, Psychology, and Cognitive Science.”

Read the full story by Ankita Nagpal on the AI Innovation Institute website.