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Apr 28, 2022

Hyosung Information Systems and Lablup Strengthen Market Penetration of GPU-based (Hyper-scale) AI Platforms

  • Providing the best technology for container-based AI/ML model development and operational efficiency
  • Expected synergies between the two companies...from implementing GPU environment for AI/HPC to continuous operation management

Hyosung Information Systems (CEO Yang Jeong-kyu), a data infrastructure and solutions company, and Lablup Inc. (CEO Shin Jeong-kyu), a company specializing in hyper-scale AI development platforms, announced on the XXth that they have signed a memorandum of understanding (MOU) to expand the domestic AI (artificial intelligence), ML (machine learning), and HPC (high-performance computing) markets and strengthen collaboration, including joint sales and marketing.

Successful AI projects require advanced strategies for efficient utilization of GPU computing resources, effective storage and performance maintenance of growing data, easy development of AI models, and continuous operation management.

Hyosung Information Systems is strengthening its pursuit of the GPU-based AI platform business with Lablup, which is recognized globally for its AI development platform and GPU partitioned virtualization technology. Based on proven products and various project know-how, the two companies will provide the best infrastructure environment for customers' AI projects, from GPU environment implementation to operation management.

Hyosung Information Systems simplifies complex AI tasks for companies through its 'AI Integrated Platform' that combines performance-optimized GPU server infrastructure and AI model operation management system. It provides integrated proposals from GPU-based data computation to large data storage and automated management and operation using storage optimized for high-performance computing, actively supporting customers' data-based digital transformation.

Lablup provides Backend.AI, an all-in-one enterprise cluster platform for AI development and services. Backend.AI provides all the functions required in the era of AI development and service, including self-developed container-based GPU partitioned virtualization technology, deep learning model distributed training and ultra-large model development platform technology, and GPU-based ultra-low cost/ultra-low latency AI model service technology. It is currently being used by leading domestic and international companies and organizations, including Samsung Electronics, KT, LG CNS, SK, Lotte Communications, CJ, and others.

"Based on our technology partnerships such as NVIDIA's AI Accelerated Program and DGX-Ready Software Program, as well as our proven technology through large-scale enterprise and institutional customers at home and abroad, we will enhance our synergies for our customers' successful AI projects." "From implementing a GPU infrastructure environment to developing effective AI models based on containers and optimizing service management, our customers will be able to accelerate the introduction of AI services and create business results based on AIOps," said Jungkyu Shin, CEO of Lablup.

"Based on the data and AI-related technologies that both companies have accumulated in Korea, we will provide the best infrastructure environment for customers who are experiencing difficulties with GPU virtualization and resource management," said Yang Jeong-kyu, CEO of Hyosung Information Systems.

About Lablup Inc. (https://www.lablup.com)

Founded in 2015,  a company specializing in hyper-scale AI development platforms, has been recognized globally for its AI development and service platform Backend.AI, which is the first in the Asia-Pacific region to be certified as NVIDIA DGX-Ready Software.

Backend.AI (www.backend.ai) enables effective management of AI/ML/HPC from R&D to business services to AI service inference and delivery through one consistent platform and is utilized by various customers such as Samsung Electronics, KT, LG CNS, SK, Lotte Communications, SK, Bank of Korea, and ETRI.

Automatically translated from Korean

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