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

Official Schedule Context

Official Description

Olive Song (RL Lead, https://www.minimax.io/) and Dan Fu (VP of Kernels, 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

Related YouTube Video

Minimax M2: Building the #1 Open Model – Olive Song, MiniMax (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Notes

Supporting Slides

Slide Evidence