Runhouse
Circuit mix
Where Runhouse 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 & MLOps50%2 events
- Modern data stack & practitioner33%2 events
- Open-source data infrastructure17%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 | ||||||||||
| MLOps World (Machine Learning in Production) | ||||||||||
| AI By the Bay | ||||||||||
| Budapest Data+AI Forum | ||||||||||
| OSA CON (Open Source Analytics Conference) |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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.
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).
- CentML0.81
- Outerbounds0.69
- Luma AI0.69
- Cloud Native Computing Foundation0.68
- Tigris Data0.67
- Union.ai0.65
- FuriosaAI0.64
- Lightning AI0.64
0 Cluster: ODSC · 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 |
|---|---|---|
| Akash | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| AMD | 1 | 100% |
| Anaconda | 1 | 100% |
| Anyscale | 1 | 100% |
| Arm | 1 | 100% |
| Baseten | 1 | 100% |
| Clarifai | 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% |
| Databricks | 1 | 100% |
| Deque | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Runhouse (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 2025 | Oct 22–23, 2025 | San Francisco, United States | Startup + Non-Profit + VC | Startup |
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Paul Yang | AI By the Bay 2025 | speaker | Beat OpenAI and Build the Best AI For You: Mobilizing First-Party Data with Fine-Tuning | Video |
| Donny Greenberg | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Why is ML on Kubernetes Hard? Defining How ML and Software Diverge | — |
| Paul Yang | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Why is ML on Kubernetes Hard? Defining How ML and Software Diverge | — |
| Josh Lewittes | Budapest Data+ML Forum 2025 | speaker | Build the Best AI For You: Mobilizing First-Party Data with Fine-Tuning | — |
| Donny Greenberg | OSA CON 2024 | speaker | Hydra Architecture: Orchestrating ML across clusters, regions, and clouds | Slides · Video |