Neural Magic
Circuit mix
Where Neural Magic shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research88%7 events
- Enterprise, analyst & AI expos6%1 event
- Python & R data science6%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 |
|---|---|---|---|---|---|---|---|---|
| NeurIPS (Conference on Neural Information Processing Systems) | ||||||||
| CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition) | ||||||||
| Data Summit (DBTA) | ||||||||
| PyData |
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.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Gold
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences 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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)last sponsored 2023; the conference ran again in 2024–26
Steady 1
Sponsored in most years of its span at the same tier.
- NeurIPS (Conference on Neural Information Processing Systems)5 of 6 years 2019–24, 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).
- Cruise0.91
- SigOpt0.90
- Waymo0.90
- Tianqiao and Chrissy Chen Institute0.89
- Scale AI0.89
- Sea0.86
- Wayve0.85
- Sony0.85
0 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 7 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Alibaba Cloud | 7 | 100% |
| Apple | 7 | 100% |
| 7 | 100% | |
| Meta | 7 | 100% |
| Qualcomm | 7 | 100% |
| Microsoft | 6 | 86% |
| Scale AI | 6 | 86% |
| Sony | 6 | 86% |
| Waymo | 6 | 86% |
| Weights & Biases | 6 | 86% |
| Amazon Science | 5 | 71% |
| Baidu | 5 | 71% |
| Bloomberg | 5 | 71% |
| Citadel | 5 | 71% |
| Cruise | 5 | 71% |
Neighborhood: companies with nearby conference footprints
Neural Magic (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 7
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| NeurIPS 2024 | Dec 10–15, 2024 | Vancouver, Canada | Gold | Gold |
| NeurIPS 2023 | Dec 10–16, 2023 | New Orleans, United States | Gold | Gold |
| CVPR 2023 | Jun 18–22, 2023 | Vancouver, Canada | Gold | Gold |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Gold | Gold |
| CVPR 2022 | Jun 19–24, 2022 | New Orleans, United States | Gold | Gold |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Gold | Gold |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Gold | Gold |
Speakers 2
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Mark Kurtz | Data Summit 2024 | speaker | A201. Modernizing Your Data: New Platforms, Tools, & Trends | — |
| Damian Bogunowicz | PyCon DE & PyData Berlin 2023 | talk | Why GPU Clusters Don't Need to Go Brrr? Leverage Compound Sparsity to Achieve the Fastest Inference Performance on CPUs | — |