Dan Fu

VP of Kernels

Together AI

VP of Kernels at Together AI and Assistant Professor of Computer Science and Engineering at UC San Diego, focused on efficient machine learning systems and GPU performance.

Sessions (1)

Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It

2:50 PM·Track 9 · Room 2016

Olive Song (RL Lead, https://www.minimax.io/https://www.minimax.io/) and Dan Fu (VP of Kernels, https://www.together.ai/https://www.together.ai/) dig into the engineering behind one of the most widely used open model families in the agent ecosystem: how MiniMax built the model for agentic workloads, and what it takes to serve it at scale. Olive on the model side: The RL decisions behind long-context reasoning and tool use What training for agentic behavior actually looks like in practice Dan on the infrastructure side: Why agentic workloads break inference engines built for chat: prefill-heavy traffic, high cache hit rates, long-context inputs The kernel-level optimizations built for MiniMax's workload profile How the two teams collaborate on model launches and ongoing performance work Speakers: Olive Song — MiniMax; Dan Fu — Together AI.

Posttraining & Midtrainingintermediatetalk