Bio:

Takahiro Ogura is a seasoned leader in high-performance computing with over 20 years of experience. He currently heads the AI Computing Division at PFN, overseeing the company's critical computing infrastructure technologies including the MN-Core™ series of AI semiconductors and in-house supercomputers. Prior to joining PFN, he served as the after-sales service manager for domestic high-performance computing clients at Fujitsu, where he began his career as a systems engineer working on supercomputer systems projects. A notable career highlight was his instrumental role in the design and development of the Fugaku (Post-K) supercomputer at Japan's national research and development agency RIKEN. Ogura received a Master's degree from Tsukuba University's Systems and Engineering program in 2005.

Abstract:

As generative AI continues to evolve, the importance of inference computing is poised to grow steadily. In this session, the speaker Takahiro Ogura will introduce the 3D-stacked memory structure, a technological breakthrough for AI inference chips, and demonstrate its potential for social transformation through AI agents and edge AI. Ogura will also share his company Preferred Networks’s vision for democratization of AI and creation of new paradigms through their proprietary chip design, ecosystem development and industry collaborations.