Friday, December 5th
4:30pm - 5:00 pm Registration and check-in
5:00pm - 5:10pm - Daria Soboleva, Natalia Vassilieva, Irina Rish Intro and overview
5:10pm - 5:50pm - Session 1: Frontier model training
5:10pm - 5:30pm - Vol Kyrylov (OpenAI) GPT-OSS: 128 experts for one GPU
5:30pm - 5:50pm - Hector Liu (MBZUAI) Pushing the limits of open foundation models
5:50pm - 6:05pm - Coffee break and Q&A
6:05pm - 6:45pm - Session 2: Distributed training & inference
6:05pm - 6:25pm - Marco Ciccone (Vector Institute) BOOM: Scaling LLMs training across public supercomputers
6:25pm - 6:45pm - Aurick Qiao (Snowflake) Arctic Inference: Breaking the speed-cost tradeoff in LLM serving
6:45pm - 7:00pm - Coffee break and Q&A
7:00pm - 8:00pm - Panel “Sovereign AI: AI as Geopolitical Advantage”
Panelists: Natalia Vassilieva, Sara Hooker, Keunwoo Choi, Rio Yokota, Hrant Khachatrian, Preslav Nakov
Saturday, December 6th
4:30pm - 5:00 pm Registration and check-in
5:00pm - 5:20pm - Daria Soboleva (Cerebras) MoE 101: Training and serving MoE models efficiently
5:20pm - 5:40pm - Junyang Lin (Qwen Team, Alibaba Group) Deep dive into qwen3
5:40pm - 6:20pm - Session 3: Inference optimization
5:40pm - 6:00pm - Eric Sather (Cerebras) ML for High-Performance Inference
6:00pm - 6:20pm - Irina Rish (CERC-AAI UdeM Lab/Mila/42.com) Research perspectives on inference optimizations
6:20pm - 6:30pm - Coffee break and Q&A
6:30pm - 6:50pm - Session 4: Compression and optimization
6:30pm - 6:50pm - Ayush Kaushal (Nolano AI/Mila) Scaling laws & efficient inference for ternary LLMs
6:50pm - 7:00pm - Coffee break and Q&A
7:00pm - 8:00pm - Panel “AI: Show Me the Money”
Panelists: swyx, Dylan Patel, Irina Rish, Tri Dao, Hung Bui
8pm - 9pm - Closing Reception 🎉🥳🍾