Cerebras
Circuit mix
Where Cerebras 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 & MLOps49%13 events
- Research31%6 events
- Software engineering & trading tech13%4 events
- Enterprise, analyst & AI expos5%1 event
- Python & R data science3%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.
- Platinum
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2023.
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.
Steady 2
Sponsored in most years of its span at the same tier.
- AI Engineer (World's Fair, Summit and regional editions)every year 2024–26, unranked tier
- NeurIPS (Conference on Neural Information Processing Systems)6 of 8 years 2019–26, mostly Platinum
Once or on and off 3
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- AI Native Summitonce, 2024, unranked tier
- STAC Summitonce, 2022, unranked tier
- The AI Summitonce, 2022, Gold
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).
- Encord0.88
- Reflection AI0.87
- BlackRock0.85
- DatologyAI0.83
- Lovable0.83
- Writer0.82
- SambaNova0.82
- Lambda0.82
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 14 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 11 | 79% | |
| Bloomberg | 8 | 57% |
| Microsoft | 8 | 57% |
| Two Sigma | 8 | 57% |
| Weights & Biases | 8 | 57% |
| Amazon Web Services | 7 | 50% |
| The D. E. Shaw Group | 7 | 50% |
| IBM | 7 | 50% |
| Jump Trading | 7 | 50% |
| Lambda | 7 | 50% |
| Apple | 6 | 43% |
| Citadel | 6 | 43% |
| Cohere | 6 | 43% |
| Comet | 6 | 43% |
| G-Research | 6 | 43% |
Neighborhood: companies with nearby conference footprints
Cerebras (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 14
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Platinum | Platinum |
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Supporting Partners | Other |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Supporting Partners | Other |
| AI Engineer Miami 2026 | Apr 20–21, 2026 | Miami, United States | — | Unlabeled |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Gold | Gold |
| AI Engineer Code Summit 2025 | Nov 19–22, 2025 | New York, United States | Special Sponsors and Supporting Companies | Other |
| NeurIPS 2024 | Dec 10–15, 2024 | Vancouver, Canada | Silver | Silver |
| AI Native Summit 2024 | Nov 21, 2024 | Mountain View, United States | Sponsors and Partners | Other |
| AI Engineer World's Fair 2024 | Jun 25–27, 2024 | San Francisco, United States | Supporters | Other |
| NeurIPS 2023 | Dec 10–16, 2023 | New Orleans, United States | Silver | Silver |
| The AI Summit New York 2022 | Dec 7–8, 2022 | New York, United States | Gold Sponsors | Gold |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Gold | Gold |
| STAC Summit New York, Spring 2022 | Jun 1, 2022 | New York, United States | Exhibitor | Other |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Platinum | Platinum |
Speakers 19
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Nancy Zheng | QCon San Francisco 2026 | speaker | Inside the Disaggregated Architecture Serving LLM Inference | — |
| Sarah Chieng | AI Engineer New York 2026 | workshop | The Agentic Content System Behind 200M Views | — |
| Daniel Kim | AI Engineer World's Fair 2026 | speaker | All the Things We Have to Do to Satisfy Your Insatiable Need for Tokens | Video |
| Ramy Jaber | STAC Summit New York, Spring 2026 | panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Daria Soboleva | AI Engineer Singapore 2026 | speaker | MoE at Scale: From GPUs to Wafer-Scale AGI | — |
| Zigfrid Zvezdin | STAC Summit London, Spring 2026 | panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Sarah Chieng | AI Engineer Miami 2026 | speaker | — | — |
| Sarah Chieng | AI Engineer Europe 2026 | speaker | Fast Models Need Slow Developers | Video |
| Sean Lie | ScaledML 2026 | speaker | — | — |
| Sarah Chieng | AI Engineer Code Summit 2025 | speaker | — | — |
| Sebastian Duerr | PyData Seattle 2025 | speaker | Evaluation is all you need | Video |
| Daniel Kim | AI Engineer World's Fair 2025 | workshop | From Mixture of Experts to Mixture of Agents … with Super Fast Inference | Video |
| Daria Soboleva | AI Engineer World's Fair 2025 | workshop | From Mixture of Experts to Mixture of Agents … with Super Fast Inference | Video |
| Behzad Abghari | PyTorch Conference 2023 | lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Emad Barsoum | PyTorch Conference 2023 | lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Mark Browning | PyTorch Conference 2023 | lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Natalia Vassilieva | PyTorch Conference 2023 | lightning talk | Lightning Talk: Accelerating LLM Training on Cerebras Wafer-Scale Cluster | — |
| Sean Lie | ScaledML 2020 | speaker | Wafer-Scale ML | Slides · Video |
| Andrew Feldman | O'Reilly Artificial Intelligence Conference San Jose 2019 | keynote | Enabling AI’s potential through wafer-scale integration | — |