​This session dives into the low-level systems challenges behind running large language models efficiently in production. Rather than focusing on model architecture or prompts, the talks explore how inference performance is shaped by infrastructure decisions: cache design, memory movement, distributed execution, and latency optimization at scale.

​Agenda

​18:00 Doors open

​18:30 - 20:00 TBD

​20:00 - 21:00 Networking & Food & Drinks

​21:00 Doors close

​Organizers

​​​​​Ilya Kulyatin: Fintech and AI entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan, with an MSc in Machine Learning from UCL.

​Supporters

​​​Tokyo AI (​​​TAI) is the biggest AI community in Japan, with 4,000+ members mainly based in Tokyo (engineers, researchers, investors, product managers, and corporate innovation managers).

​​Value Create is a management advisory and corporate value design firm offering services such as business consulting, education, corporate communications, and investment support to help companies and individuals unlock their full potential and drive sustainable growth.

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