Circuit mix
Where 月之暗面 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 & MLOps100%2 events
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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference) |
Activity by year
Three measures on one year axis; each panel has its own scale.
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.
Where they've grown or pulled back
月之暗面 has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownNothing recorded in 2026; had speakers at 1 conference in 2024.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
No longer seen 1
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- AICon 全球人工智能开发与应用大会 (AICon Global AI Development and Application Conference)last seen 2024; the conference ran again with speaker lists in 2025–26
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 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for 月之暗面.
Speakers 2
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| 唐飞虎 | AICon 全球人工智能开发与应用大会 | 上海 | speaker | 长文本大模型推理实践——以 KVCache 为中心的分离式推理架构 | — |
| 唐飞虎 | AICon 全球人工智能开发与应用大会 暨 大模型应用生态展 | speaker | Long-Context vs RAG：谁将主导未来？ | — |