Data Conference Databasea Query.Farm index
Companies

PyTorch

Product category (jev): ML platforms 77% confident
Org type (jev): Government / nonprofit 58% confident
Also listed as: PyTorch (Meta) · PyTorch Korea User Group · PyTorchKR
Conferences sponsored0
Events sponsored0
Speaker slots138 distinct people
Conferences present at5sponsor or speaker
Years active2019–2026

Circuit mix

Where PyTorch shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

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.

Where they've grown or pulled back

PyTorch has never sponsored a tracked conference, so this follows where its speakers appear instead.

UpHad speakers at 2 conferences in 2026, up from 1 in 2023.

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.

New conferences spoken at 1

First speaker in 2025 or later.

No longer seen 3

No speakers since 2024 or earlier, though the conference published speaker lists after that.

Regulars 1

Speakers in most years of the span.

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).

  1. Chainguard0.72
  2. TrueFoundry0.70
  3. PagerDuty0.69
  4. The Linux Foundation0.68
  5. Anyscale0.65
  6. TELUS0.64
  7. Arcade.dev0.64
  8. Tigris Data0.63

14 Cluster: AWS re:Invent · Google Cloud Next circuit →

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.

Neighborhood: companies with nearby conference footprints

PyTorch (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.

PyTorchTrueFoundryArcade.devTELUSAgnostiq (Covalent)TenstorrentJFrogUnion.aiCentMLGuardrails AIRunhouseCharles SchwabRoyal Bank of CanadaOuterboundsLightning AIHumanSignalOcado TechnologyFeatureformFennelLanceDBArize AIRiot GamesBraintrustZipline AIWealthsimpleGrammarlySuperlinkedCogneeVespa.aiMIT Media LabQdrant
PyTorchTrueFoundryArcade.devTELUSAgnostiq (Covalent)TenstorrentJFrogUnion.aiCentMLGuardrails AIRunhouseCharles SchwabRoyal Bank of CanadaOuterboundsLightning AIOcado TechnologyFeatureformFennelLanceDBArize AIRiot GamesBraintrustZipline AIGrammarlySuperlinkedCogneeVespa.aiMIT Media LabQdrant

Sponsorships 0

No sponsorships recorded for PyTorch.

Speakers 13

SpeakerEventRoleTalkLinks
Junghwan ParkMCP Dev Summit Seoul 2026speakerAAIF Ambassador AMA: Building the Agentic Future Through Community Contribution—
Lucas PasqualinPyTorch Conference Europe 2026speakerTorchStore: What We Learned Building Distributed Storage Solutions for AysncRL—
Lucas PasqualinPyTorch Conference 2025posterPoster Presentations: Industry & Infrastructure—
Hyoyoung ChangPyTorch Conference 2024posterPoster Presentations—
Junghwan ParkPyTorch Conference 2024posterPoster Presentations—
Lucas PasqualinPyTorch Conference 2024posterPoster Presentations—
Junghwan ParkPyTorch Conference 2023speakerPyTorch Korea User Group: The Beginning, Present, and Future—
Suraj Subramanian3rd Annual MLOps World 2022speakerLeaner, Greener and Faster Pytorch Inference with Quantization—
Hamid ShojanazeriAWS re:Invent 2021chalk talkDeep learning applications with PyTorch [REPEAT]Slides
Randall HuntPyCon US 2021 (Online)speakerFrom NumPy to PyTorch, A Story of API CompatibilityVideo
Michael SuoAWS re:Invent 2019breakout[REPEAT] Deep learning applications using PyTorch, featuring AutodeskSlides · Video
Michael SuoAWS re:Invent 2019breakout[REPEAT 1] Deep learning applications with PyTorch, featuring FreshworksSlides · Video
Adam PaszkePyCon Thailand 2019keynote——