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Nov 10, 2024

Lablup Participates in NVIDIA AI Summit Japan

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AI platform company Lablup has announced its participation in the 'NVIDIA AI Summit' held in Tokyo, Japan. The NVIDIA AI Summit introduces the latest trends in AI and accelerated computing technologies along with real-world use cases, bringing together experts and industry leaders from various fields including science, healthcare, and sustainability to discuss AI's future and impact. This year, the summit is being held in Washington D.C., India, and finally in Japan.

At this NVIDIA AI Summit Japan, NVIDIA founder and CEO Jensen Huang and SoftBank Chairman Masayoshi Son will engage in a dialogue about how AI and accelerated computing will transform industries. The event, which has received over 3,000 registrations, begins with workshops on the 12th and features more than 50 diverse sessions and live demos covering topics such as generative AI, industrial digitalization, robotics, and Large Language Models (LLM).

Among 62 companies, Lablup will demonstrate how to effectively utilize AI technology through NIM (NVIDIA Inference Microservices) by running its hyperscale AI platform, Backend.AI, and inference solution PALI on NVIDIA GH200 Grace Hopper Superchips.

Backend.AI, which has been certified as NVIDIA DGX-Ready Software since 2021 - the first and only one in the Asia-Pacific region - is an AI platform that optimizes and manages computing resources for large-scale AI and accelerated computing applications, from DGX system clusters to the latest NVIDIA Grace CPU Superchips, while enhancing GPU usability.

"Through this NVIDIA AI Summit, Lablup will showcase how we work with NVIDIA to maximize the efficiency of generative AI service operations with PALI and PALANG, as well as developing large-scale AI models based on Backend.AI," said Jeongkyu Shin, CEO of Lablup. "We aim to widely promote Backend.AI's strengths as an AI infrastructure operating system that addresses various scales, from PC and small-scale organizations' AI utilization to GPU hyperscaler AI service operations."

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