---
title: "Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It"
category: "talks"
date: "2026-06-30"
time: "2:50pm-3:10pm"
track: "Posttraining & Midtraining"
room: "Track 9"
speakers: ["Olive Song", "Dan Fu"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Posttraining & Midtraining"
scheduleRoom: "Track 9"
scheduleLabels: ["Posttraining & Midtraining", "Track 9", "session", "confirmed"]
---
# Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It

## Conference Context
- Date/time: 2026-06-30 · 2:50pm-3:10pm
- Track/room: Posttraining & Midtraining · Track 9
- Speaker(s): Olive Song, Dan Fu
- Session type/status: session · confirmed

- Track: Posttraining & Midtraining
- Room: Track 9
- Session type: session
- Status: confirmed

## Session 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

## Media Evidence
[Minimax M2: Building the #1 Open Model – Olive Song, MiniMax](https://www.youtube.com/watch?v=lY1iFbDPRlw) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

- Source video: `youtube-lY1iFbDPRlw`
- Slide deck: [[youtube-lY1iFbDPRlw-dense-slides|Dense Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]] — 5 visible slide image(s); 5 HTML recreation(s).
![[assets/dense-slides/lY1iFbDPRlw/slide-001.jpg]]
![[assets/dense-slides/lY1iFbDPRlw/slide-002.jpg]]
![[assets/dense-slides/lY1iFbDPRlw/slide-003.jpg]]
- Additional slide evidence: [[youtube-lY1iFbDPRlw-slides|Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]], [[youtube-lY1iFbDPRlw-reconstructed-slides|Reconstructed Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]]
- Slide-derived themes for `youtube-lY1iFbDPRlw`: excel, speech, music, users, globally, olive, song, senior.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
- `youtube-lY1iFbDPRlw` — 7 slide-derived text signals
- Slide-derived themes for `youtube-lY1iFbDPRlw`: excel, speech, music, users, globally, olive, song, senior.
- Evidence links for `youtube-lY1iFbDPRlw`: [[youtube-lY1iFbDPRlw]], [[youtube-lY1iFbDPRlw-slides]], [[youtube-lY1iFbDPRlw-dense-slides]], [[youtube-lY1iFbDPRlw-reconstructed-slides]]

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## 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
- [[olive-song]]
- [[dan-fu]]

## Supporting Slides
- [[youtube-lY1iFbDPRlw-slides]] — extracted from the related public AI Engineer video.

## Slide Evidence
- Slide-only cropped deck: [[youtube-lY1iFbDPRlw-dense-slides]] (5 viable slide images).
- Related slide/OCR pages:
- [[youtube-lY1iFbDPRlw-dense-slides]]
- [[youtube-lY1iFbDPRlw-reconstructed-slides]]
- [[youtube-lY1iFbDPRlw-slides]]
- Slide-derived terms: `minimax`, `research`, `open-weight`, `senior`, `engineer`, `tasks`, `minimax-m2`, `agentic`, `model`, `fast`, `coding`, `intetgence`, `everyene`, `olive`, `song`, `intelligence`, `real`, `experience`

## Synthesis
### Synthesized Breakdown
# Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It ## Conference Context - Date/time: 2026-06-30 · 2:50pm-3:10pm - Track/room: Posttraining & Midtraining · Track 9 - Speaker(s): Olive Song, Dan Fu - Session type/status: session · confirmed - Track: Posttraining & Midtraining - Room: Track 9 - Session type: session - Status: confirmed ## Session 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 ## Media Evidence [Minimax M2: Building the #1 Open Model – Olive Song, MiniMax](https://www.youtube.com/watch?v=lY1iFbDPRlw) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions). - Source video: `youtube-lY1iFbDPRlw` - Slide deck: [[youtube-lY1iFbDPRlw-dense-slides|Dense Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]] — 5 visible slide image(s); 5 HTML recreation(s). ![[assets/dense-slides/lY1iFbDPRlw/slide-001.jpg]] ![[assets/dense-slides/lY1iFbDPRlw/slide-002.jpg]] ![[assets/dense-slides/lY1iFbDPRlw/slide-003.jpg]] - Additional slide evidence: [[youtube-lY1iFbDPRlw-slides|Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]], [[youtube-lY1iFbDPRlw-reconstructed-slides|Reconstructed Slides: Minimax M2: Building the #1 Open Model – Olive Song, MiniMax]] - Slide-derived themes for `youtube-lY1iFbDPRlw`: excel, speech, music, users, globally, olive, song, senior.

### Speaker And Company Context
- [[olive-song|Olive Song]] — RL Lead at [[minimax|MiniMax]].
- [[dan-fu|Dan Fu]] — VP of Kernels at [[together-ai|Together AI]].

### Topics Covered
- [[agentic-search]]

### Derived Links And Source Material
- [[youtube-lY1iFbDPRlw]] — related YouTube source page.
- [[youtube-lY1iFbDPRlw-slides]] — slide evidence.
- [[youtube-lY1iFbDPRlw-reconstructed-slides]] — slide evidence.
- [[youtube-lY1iFbDPRlw-dense-slides]] — slide evidence.

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.