MOREH, THE DAY AFTER TOMORROW
THE ENABLER OF FUTURE AI ACCELERATORS
MOREH
About Us
Moreh is an AI start up focusing on maximizing the scalability of the AI market. Founded in 2020, we believe that easier access to AI infrastructure is necessary to the expansion of the entire AI industry. In order to achieve our vision, we are dedicated to solve the current constraints of datacenters by providing an AI infrastructure solution that guarantees scalability and flexibility. Moreh's global team are comprised of industry leading architects and engineers with comprehensive capabilities for AI infrastructure. We are confident in expanding AI accelerator market to reach its full potential and believe that our contribution will change the course of the market.
Technology
Moreh AI Platform
World's most compatible and flexible AI infrastructure software
Moreh AI Platform is a software stack for tomorrow’s AI models and infrastructures. Moreh AI Platform enables users to accelerate AI applications seamlessly on a variety of processors and on a diverse system scales, from single chips to large clusters, with the help of our compiler technology. Customers can focus on important AI problems regardless of complicated hardware architecture and parallelization techniques. By eleminating proprietary components from our software stack, AI systems can be built in a cost-effective way without being tied to a specific hardware vendor. We provide full compatibility with standard deep learning frameworks including PyTorch and TensorFlow. The rapidly expanding AI software ecosystem can be powered by our platform without any code modification.
Leadership
Gangwon Jo
Co-CEO / Co-Founder
Gangwon is the creator of Moreh AI Platform and leads the company. He has been studying high performance computing, particularly focusing on compilers and runtime systems for AI accelerators. He received a PhD in EECS and a BS (summa cum laude) in CSE from Seoul National University.
Doyeon Yun
Co-CEO
Doyeon leads the operation and business development of Moreh. He has built intensive management capabilities particularly in the technology sector at a fabless start-up as well as management consulting. Prior to Moreh, he was a director of Business Development in FADU, a fabless company focusing on datacenters. Also, he worked at Bain & Company as a consultant covering the technology sector. He holds a BA in Business Administration from Seoul National University.
Wookeun Jung
Chief Architect
Wookeun leads developing an efficient software stack for versatile AI models and infrastructures. Prior to Moreh, he received a PhD in EECS from Seoul National University for research on highly optimized and scalable deep learning frameworks. He received a BS in CSE also from Seoul National University.
Jungho Park
Head of Research, Co-Founder
Jungho has intensive R&D experiences in GPU-accelerated computing more than 10 years. At Moreh, he focuses on designing and implementing hyperscale AI models and infrastructures. He is also a CEO and co-founder of ManyCoreSoft, a startup providing comprehensive high-performance computing solutions. He received his PhD in EECS and a BS in CSE from Seoul National University.
Jaejin Lee
Advisor, Co-Founder
Jaejin is an advisor of Moreh and a professor in Dept. of Computer Science & Engineering and Dept. of Data Science at Seoul National University. He leads the Thunder Research Group at SNU, the birthplace of remarkable heterogeneous supercomputers and their software. He received his PhD in CS from UIUC, an MS in CS from Stanford University, and a BS in Physics from Seoul National University. He is an IEEE fellow.
Join Our Team
Be part of Moreh, be part of future
Be part of a fast growing, passionate, fearless, innovative team looking beyond tomorrow's AI world.
Be part of a global team to solve the most critical challenges in AI industry.
Don't be part of today, don't be part of tomorrow, be part of Moreh.
C++ 프로그래머
클라우드 환경에서 NVIDIA GPU 외의 다양한 가속기 프로세서를 사용할 수 있도록 하는 PyTorch / TensorFlow 호환 딥 러닝 Framework 개발
AI 응용 개발자
최신 인공지능 연구 동향을 지속적으로 파악하고, 새로운 딥 러닝 모델을 학습시키기 위한 PyTorch, TensorFlow 프로그램을 조사, 구현, 분석하여 Moreh Framework 위에서 테스트 진행
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