Over 3,000 corporate, university, and government officials attended
6 tracks and 40 sessions introducing the latest trends

NVIDIA held the 'NVIDIA AI Conference 2018' at the COEX Convention Center in Seoul on November 7, sharing the latest technology trends and success stories in the fields of AI and deep learning.

At this event, which was the largest ever with over 3,000 attendees, experts from industry leaders including NVIDIA introduced the current status of AI and deep learning technologies and application cases across various industries.
NVIDIA Korea CEO Yoo Eung-joon, who kicked off the event, shared his thoughts on successfully hosting the nation's largest AI conference in his welcoming remarks. He identified large amounts of data, diverse algorithms, and GPUs for processing them as the three essential strategies for AI success. Furthermore, he emphasized the need to foster specialized AI development talent within the country.

Following this, Marc Hamilton, Vice President of Solution Architecture and Engineering at NVIDIA, took the stage as a keynote speaker and provided an overview of the future of computing technology, introducing how NVIDIA is preparing for it. In particular, NVIDIA emphasized that it is developing systems that combine AI and HPC, and introduced in detail the RAPIDS GPU acceleration platform designed for data science and machine learning.

Rapids is a platform that helps perform accurate business forecasts at high speed by analyzing massive amounts of data, and it is built upon NVIDIA's global ecosystem, including CUDA. Vice President Mark explained, "Through the Rapids platform, NVIDIA has extended its technology to the last remaining areas that GPUs could not accelerate."
In addition to this, Vice President Mark introduced graphics, autonomous vehicles, and robotics technologies, revealing examples of utilizing the NVIDIA GPU platform for technologies that were impossible with previous CPU computing.

Following the keynote speech by Vice President Mark, Kim Yun, Head of SK Telecom’s AI Research Center, took the stage as a keynote speaker to introduce success stories achieved in collaboration with NVIDIA. SK Telecom is utilizing NVIDIA’s technology to enhance customer services by leveraging data. In particular, Center Director Kim Yoon stated, “NVIDIA’s GPUs were of great help in the task of AI-izing vast amounts of data and existing data.”

In the afternoon, approximately 40 sessions were held under six themes—deep learning, autonomous driving, autonomous machines, HPC, data centers, and cloud—introducing the latest technology trends and industry-specific innovation cases. Speakers included not only NVIDIA but also major domestic and international AI-related companies such as Naver Labs, SKT, SK Hynix, Hyundai Mobis, LG CNS, KAIST, and KISTI, as well as academic experts.

Exhibition booths were set up at the event venue by partners utilizing NVIDIA technology, providing visitors with the opportunity to experience NVIDIA's technology firsthand.