MiniMax
Circuit mix
Where MiniMax shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps83%6 events
- Research17%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Title
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 1 conference in 2026, down from 2 in 2025.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 2
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2025, unranked tier
- EMNLP (Conference on Empirical Methods in Natural Language Processing)first sponsored 2025, Gold
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
Sponsorships 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AI Engineer Shanghai 2026 | Nov 5–6, 2026 | Shanghai, China | Silver sponsors | Silver |
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Silver | Silver |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Labs | Title |
| AI Engineer Code Summit 2025 | Nov 19–22, 2025 | New York, United States | Special Sponsors and Supporting Companies | Other |
| EMNLP 2025 | Nov 4–9, 2025 | Suzhou, China | Gold | Gold |
Speakers 7
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Ronny He | AI Engineer Shanghai 2026 | speaker | Stronger Models, Leaner Harnesses: What to Control and What to Let Go | — |
| Morgan Suo | AI Engineer New York 2026 | speaker | The Hidden Costs of a Faster Model | — |
| Olive Song | AI Engineer World's Fair 2026 | speaker | Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It | Video |
| Olive Song | AI Engineer World's Fair 2026 | keynote | Thom Wolf keynote | — |
| Vincent Wu | AI Engineer Singapore 2026 | speaker | Agents That Manage Their Own Compute | — |
| Olive Song | AI Engineer Code Summit 2025 | speaker | Minimax M2 | Video |
| 星龙 | AICon 全球人工智能开发与应用大会 暨 大模型应用生态展 | speaker | 混合场景下大规模 GPU 集群构建与实践 | — |