Ellis Cloud Contributes to AI Research at Universities in Korea and Abroad

Ellis Cloud Gains Favor Among Researchers
for Cost-Effective Access to High-Performance AI Infrastructure

Ellis Group announced on June 5 that its AI-specialized cloud service, Ellis Cloud, is receiving positive feedback as it contributes to AI research achievements at universities both in Korea and abroad.

Recently, Jaemyung Kim, a PhD candidate in the NLP group at the University of Minnesota in the United States, developed large language model (LLM) training techniques in collaboration with Ellis Cloud. Kim cited the ability to use high-performance H100 GPUs at the lowest global price without waiting, as well as the library environment that requires no separate installation and saves setup time, as key reasons for choosing Ellis Cloud.

Ellis Cloud logo. Ellis Group

Donghwan Ji, a master's student at the AGI Lab in the Department of Artificial Intelligence at Korea University, also utilized Ellis Cloud for multimodal LLM research. Ji explained that by using the Ellis Cloud Data Hub, he was able to run more than two high-performance GPU experiments in parallel, reducing research time and maximizing productivity.

Ellis Cloud possesses dynamic allocation technology, allowing users to allocate as many resources as needed, which greatly enhances resource utilization and cost efficiency for individual researchers, AI startups, and universities. In addition, through its cluster technology, Ellis Cloud can bundle high-performance GPUs such as the H100 in any quantity required by customers, enabling it to meet the demands of government and enterprise clients who require large amounts of resources.

Jaewon Kim, CEO of Ellis Group, stated, "We will continue to provide advanced AI cloud infrastructure services to support AI research at both the individual and national levels."

This content was produced with the assistance of AI translation services.