Luma AI
Circuit mix
Where Luma AI 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 & MLOps57%3 events
- Cloud providers29%2 events
- Modern data stack & practitioner14%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyTorch Conference | ||||||||||
| AWS re:Invent | ||||||||||
| Reverie | ||||||||||
| AI Engineer (World's Fair, Summit and regional editions) |
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.
- Silver
Where they've grown or pulled back
Sponsored 1 conference in 2026, the first year on record.
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.
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Cloud Native Computing Foundation0.84
- Baseten0.82
- Parasail0.80
- Conviction0.74
- Prime Intellect0.71
- Runhouse0.69
- Simplismart0.68
- FuriosaAI0.68
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Amazon Web Services | 1 | 100% |
| AMD | 1 | 100% |
| Anyscale | 1 | 100% |
| Arm | 1 | 100% |
| Axelera | 1 | 100% |
| Baseten | 1 | 100% |
| Byteshape | 1 | 100% |
| Citadel | 1 | 100% |
| ClickHouse | 1 | 100% |
| clockwork.io | 1 | 100% |
| Cloud Native Computing Foundation | 1 | 100% |
| Crusoe | 1 | 100% |
| The D. E. Shaw Group | 1 | 100% |
| d-Matrix | 1 | 100% |
| Datadog | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Luma AI (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyTorch Conference North America 2026 | Oct 20–21, 2026 | San Jose, United States | Silver | Silver |
Speakers 7
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Barkley Dai | Reverie 2026 | panelist | Physical AI Researchers (panel) | — |
| Haoran Cai | Reverie 2026 | speaker | From Raw Delivery to the Training Loop: Luma's Data Platform on Lance | — |
| David Barona (Davicho) | AWS re:Invent 2025 | breakout | The path to Multimodal Artificial General Intelligence | Video |
| Jason Levin | AWS re:Invent 2025 | breakout | The path to Multimodal Artificial General Intelligence | Video |
| Thomas Neff | PyTorch Conference 2025 | speaker | How Modern PyTorch Supercharges Multimodal Training and Inference at Luma AI | — |
| Keegan McCallum | AI Engineer World's Fair 2025 | speaker | General Intelligence is Multimodal | — |
| Amit Jain | AWS re:Invent 2024 | keynote | Dr. Swami Sivasubramanian Keynote | — |