Companies
NVIDIA
Product category (jev): Cloud infrastructure 87% confident
Org type (jev): Hardware 99% confident
Also listed as: NVIDIA - Financial Services and Technology Team (sponsored by Supermicro) · NVIDIA / Caltech · NVIDIA AI Enterprise · NVIDIA Corporation · NVIDIA Helsinki Oy · Nvidia · Nvidia, Inc · nvidia
Conferences sponsored25
Events sponsored92
Speaker slots310205 distinct people
Conferences present at50sponsor or speaker
Years active2019–2027
Circuit mix
Where NVIDIA shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science28%50 events
- AI engineering & MLOps18%31 events
- Vendor flagships & roadshows13%19 events
- Software engineering & trading tech11%24 events
- Enterprise, analyst & AI expos11%19 events
- Cloud providers8%11 events
- Open-source data infrastructure4%10 events
- Research4%5 events
- Modern data stack & practitioner2%5 events
- Postgres & open-source databases1%3 events
- Streaming1%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
16
10
4
11
16
17
24
29
1
Distinct speakers
People from this company on a program that year, each counted once.
19
7
3
12
23
44
75
67
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled
14
4
2
10
6
17
16
22
1
Where they've grown or pulled back
UpSponsored 13 conferences in 2026, up from 6 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.
New 7
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, Platinum
- Flink Forwardfirst sponsored 2026, Title
- Google Cloud Nextfirst sponsored 2025, Title
- Microsoft AI Tourfirst sponsored 2025, unranked tier
- Seattle Startup Summitfirst sponsored 2026, unranked tier
- The AI Summitfirst sponsored 2025, unranked tier
- VLDB (International Conference on Very Large Data Bases)first sponsored 2026, Gold
Moved up 6
Best tier rose between the first and latest year with a ranked tier.
- AWS re:InventGold 2019 → Title 2026
- Data + AI SummitBronze 2019 → Silver 2024
- NeurIPS (Conference on Neural Information Processing Systems)Silver 2020 → Platinum 2026
- Nordic Data Science and Machine Learning Summit (NDSML Summit)Gold 2022 → Title 2025
- PyCon (national Python conferences)Gold 2020 → Title 2026
- PyTorch ConferencePlatinum 2024 → Title 2026
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyDataTitle 2019 → Gold 2025
Pulled out 2
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Disney Data & Analytics Conferencelast sponsored 2024; the conference ran again in 2025–26
- Snowflake Summitlast sponsored 2024; the conference ran again in 2025–26
Steady 4
Sponsored in most years of its span at the same tier.
- Data Innovation Summit7 of 8 years 2019–26, unranked tier
- ODSC (Open Data Science Conference)every year 2024–25, mostly Platinum
- Ray Summit2 of 3 years 2024–26, mostly Gold
- SciPy Conference (Scientific Computing with Python)every year 2024–26, Platinum
Once or on and off 5
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)once, 2019, Silver
- Amazon re:MARSonce, 2022, Platinum
- OmniSci Convergeonce, 2019, Gold
- STAC Summit2 of 4 years, 2019–22
- TensorFlow Worldonce, 2019, Title
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).
- Intel0.79
- JPMorgan Chase0.76
- IBM0.76
- Hewlett Packard Enterprise0.68
- Weights & Biases0.67
- Cisco0.67
- Oracle0.67
- JetBrains0.67
15 Cluster: STAC Summit · The AI Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 92 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 37 | 40% |
| 36 | 39% | |
| Microsoft | 35 | 38% |
| Snowflake | 34 | 37% |
| Amazon Web Services | 29 | 32% |
| Databricks | 25 | 27% |
| Intel | 25 | 27% |
| Neo4j | 24 | 26% |
| Datadog | 22 | 24% |
| Accenture | 21 | 23% |
| Red Hat | 20 | 22% |
| Elastic | 19 | 21% |
| Salesforce | 19 | 21% |
| Capgemini | 18 | 20% |
| Oracle | 18 | 20% |
Neighborhood: companies with nearby conference footprints
NVIDIA (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 92
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Google Cloud Next '27 | Apr 13–15, 2027 | Las Vegas, United States | Luminary | Title |
| Microsoft Frontier Tour Utrecht 2026 | Dec 10, 2026 | Utrecht, Netherlands | Featured partner | Other |
| NeurIPS 2026 (Sydney) | Dec 6–12, 2026 | Sydney, Australia | Platinum | Platinum |
| AWS re:Invent 2026 | Nov 30, 2026 – Dec 4, 2026 | Las Vegas, United States | Emerald | Title |
| PyTorch Conference North America 2026 | Oct 20–21, 2026 | San Jose, United States | Diamond | Title |
| AI Engineer Paris 2026 | Sep 23–24, 2026 | Paris, France | Platinum Sponsors | Platinum |
| VLDB 2026 (52nd) | Aug 31, 2026 – Sep 4, 2026 | Boston, United States | Gold | Gold |
| Ray Summit 2026 | Aug 24–26, 2026 | San Francisco, United States | Gold | Gold |
| SciPy 2026 | Jul 13–19, 2026 | Minneapolis, United States | Platinum | Platinum |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Supporting Partners | Other |
| Flink Forward Asia 2026 Shenzhen | Jun 26–27, 2026 | Shenzhen, China | 钻石合作伙伴 (Diamond partner) | Title |
| PyCon US 2026 | May 13–19, 2026 | Long Beach, United States | Visionary | Title |
| Data Innovation Summit 2026 | May 6–8, 2026 | Stockholm, Sweden | Partners & Exhibitors | Other |
| Microsoft AI Tour Zurich 2026 | Apr 29, 2026 | Zurich, Switzerland | Featured partner | Other |
| Microsoft AI Tour Sydney 2026 | Apr 23, 2026 | Sydney, Australia | Featured partner | Other |
| Google Cloud Next '26 | Apr 22–24, 2026 | Las Vegas, United States | Luminary | Title |
| AI Engineer Europe 2026 | Apr 8–10, 2026 | London, United Kingdom | SUPPORTING PARTNERS | Other |
| Seattle Startup Summit 2026 | Apr 1–2, 2026 | Seattle, United States | Demo room partner | Other |
| Microsoft AI Tour Seoul 2026 | Mar 26, 2026 | Seoul, South Korea | Featured partner | Other |
| Microsoft AI Tour Tokyo 2026 | Mar 24, 2026 | Tokyo, Japan | Featured partner | Other |
| Microsoft AI Tour Paris 2026 | Mar 11, 2026 | Paris, France | Featured partner | Other |
| Microsoft AI Tour London 2026 | Feb 24, 2026 | London, United Kingdom | Featured partner | Other |
| Microsoft AI Tour New York 2026 | Jan 21, 2026 | New York, United States | Featured partner | Other |
| Microsoft AI Tour Mumbai 2025 | Dec 12, 2025 | Mumbai, India | Featured partner | Other |
| The AI Summit New York 2025 | Dec 10–11, 2025 | New York, United States | Feature Sponsors | Other |
| PyData Global 2025 | Dec 9–11, 2025 | — | Gold | Gold |
| PyData Boston 2025 | Dec 8–10, 2025 | Cambridge, United States | — | Unlabeled |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Platinum | Platinum |
| AWS re:Invent 2025 | Dec 1–5, 2025 | Las Vegas, United States | Emerald | Title |
| Microsoft AI Tour Frankfurt 2025 | Nov 6, 2025 | Frankfurt, Germany | Featured partner | Other |
| PyData Tel Aviv 2025 | Nov 5, 2025 | Tel Aviv, Israel | Silver | Silver |
| ODSC AI West 2025 | Oct 28–30, 2025 | Burlingame, United States | Partner (untiered) | Unlabeled |
| NDSML Summit 2025 + AI2R Expo (10th edition) | Oct 22–23, 2025 | Stockholm, Sweden | Event Co-Host Partners | Title |
| PyTorch Conference 2025 | Oct 22–23, 2025 | San Francisco, United States | Platinum | Platinum |
| PyCon Israel 2025 | Sep 9, 2025 | Gelilot, Israel | Diamond Sponsors | Title |
| SciPy 2025 | Jul 7–13, 2025 | Tacoma, United States | Platinum | Platinum |
| PyCon US 2025 | May 14–22, 2025 | Pittsburgh, United States | Visionary | Title |
| Data Innovation Summit 2025 | May 7–8, 2025 | Stockholm, Sweden | Partners and Exhibitors | Other |
| Google Cloud Next 2025 | Apr 9–11, 2025 | Las Vegas, United States | Luminary | Title |
| PyData Global 2024 | Dec 3–5, 2024 | — | Gold | Gold |
| AWS re:Invent 2024 | Dec 2–6, 2024 | Las Vegas, United States | Diamond | Title |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Platinum | Platinum |
| PyData Tel Aviv 2024 | Nov 4, 2024 | Tel Aviv, Israel | Silver | Silver |
| ODSC West 2024 | Oct 29–31, 2024 | Burlingame, United States | Platinum Partners | Platinum |
| NDSML Summit 2024 (9th edition) | Oct 23–24, 2024 | Stockholm, Sweden | Event Co-Host Partners | Title |
| Ray Summit 2024 | Sep 30, 2024 – Oct 2, 2024 | San Francisco, United States | Sponsor | Other |
| PyTorch Conference 2024 | Sep 18–19, 2024 | San Francisco, United States | Platinum | Platinum |
| PyCon Israel 2024 | Sep 16–17, 2024 | Gelilot, Israel | Gold Sponsors | Gold |
| DDAC 2024 | Sep 9–11, 2024 | Lake Buena Vista, United States | Platinum Plus | Title |
| SciPy 2024 | Jul 8–14, 2024 | Tacoma, United States | Platinum | Platinum |
| PyData London 2024 | Jun 14–16, 2024 | London, United Kingdom | Platinum | Platinum |
| Data + AI Summit 2024 | Jun 10–13, 2024 | San Francisco, United States | Advocate | Silver |
| Snowflake Data Cloud Summit 2024 | Jun 3–6, 2024 | San Francisco, United States | Green Circle | Silver |
| PyCon US 2024 | May 15–23, 2024 | Pittsburgh, United States | Visionary | Title |
| Data Innovation Summit 2024 | Apr 24–25, 2024 | Stockholm, Sweden | Partners and Exhibitors | Other |
| ODSC East 2024 | Apr 23–25, 2024 | Boston, United States | Gold Partners | Gold |
| PyData Global 2023 | Dec 6–8, 2023 | — | Gold | Gold |
| AWS re:Invent 2023 | Nov 27, 2023 – Dec 1, 2023 | Las Vegas, United States | Platinum | Platinum |
| NDSML Summit 2023 (7th edition) | Oct 25–26, 2023 | Stockholm, Sweden | Partners | Gold |
| DDAC 2023 | Aug 14–16, 2023 | Lake Buena Vista, United States | Gold | Gold |
| Data Innovation Summit 2023 | May 11–12, 2023 | Stockholm, Sweden | Partners and Exhibitors | Other |
| PyCon US 2023 | Apr 19–27, 2023 | Salt Lake City, United States | Sustainability | Platinum |
| PyData Global 2022 | Dec 1–3, 2022 | — | Gold | Gold |
| STAC Summit London, Fall 2022 | Nov 30, 2022 | London, United Kingdom | GOLD SPONSORS | Gold |
| AWS re:Invent 2022 | Nov 28, 2022 – Dec 2, 2022 | Las Vegas, United States | Platinum | Platinum |
| NDSML Summit 2022 (6th edition) | Nov 22–23, 2022 | Stockholm, Sweden | Partners | Gold |
| STAC Summit Chicago, Fall 2022 | Nov 1, 2022 | Chicago, United States | GOLD SPONSORS | Gold |
| PyData Yerevan 2022 | Aug 12–13, 2022 | Yerevan, Armenia | Platinum | Platinum |
| Amazon re:MARS 2022 | Jun 21–24, 2022 | Las Vegas, United States | Platinum | Platinum |
| STAC Summit London, Spring 2022 | May 19, 2022 | London, United Kingdom | GOLD SPONSORS | Gold |
| Data Innovation Summit 2022 | May 5–6, 2022 | Stockholm, Sweden | Partners and Exhibitors | Other |
| PyCon US 2022 | Apr 27, 2022 – May 3, 2022 | Salt Lake City, United States | Sustainability | Platinum |
| AWS re:Invent 2021 | Nov 29, 2021 – Dec 3, 2021 | Las Vegas, United States | Gold | Gold |
| PyData Global 2021 | Oct 28–30, 2021 | — | Gold | Gold |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Silver | Silver |
| Data Innovation Summit 2020 | Aug 18–21, 2020 | — | Partners and Exhibitors 2020 | Other |
| Spark + AI Summit 2020 | Jun 22–26, 2020 | — | Gold | Gold |
| PyCon US 2020 (Online) | Apr 15–23, 2020 | — | Gold | Gold |
| PyData Los Angeles 2019 | Dec 3–5, 2019 | Los Angeles, United States | Platinum | Platinum |
| AWS re:Invent 2019 | Dec 2–6, 2019 | Las Vegas, United States | Gold | Gold |
| PyData New York City 2019 | Nov 4–6, 2019 | New York, United States | Gold | Gold |
| TensorFlow World 2019 | Oct 28–31, 2019 | Santa Clara, United States | Elite Sponsors | Title |
| OmniSci Converge 2019 | Oct 21–23, 2019 | Mountain View, United States | Gold | Gold |
| STAC Summit Hong Kong, Fall 2019 | Sep 24, 2019 | Hong Kong, Hong Kong SAR China | GOLD SPONSORS | Gold |
| PyCon JP 2019 | Sep 16–17, 2019 | Tokyo, Japan | Tutrial | Other |
| KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | Aug 4–8, 2019 | Anchorage, United States | Silver | Silver |
| STAC Summit Chicago, Spring 2019 | Jun 18, 2019 | Chicago, United States | GOLD SPONSORS | Gold |
| STAC Summit New York, Spring 2019 | Jun 6, 2019 | New York, United States | GOLD SPONSORS | Gold |
| STAC Summit London, Spring 2019 | May 15, 2019 | London, United Kingdom | GOLD SPONSORS | Gold |
| Spark + AI Summit 2019 | Apr 23–25, 2019 | San Francisco, United States | Bronze | Bronze |
| Data Innovation Summit 2019 | Mar 14–15, 2019 | Stockholm, Sweden | Partner | Other |
| PyData Miami 2019 | Jan 9–11, 2019 | Miami, United States | Diamond | Title |
Speakers 310
Showing the 200 most recent of 310 speaker slots.
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Katrina Riehl | PyData Global 2026 | keynote | — | — |
| Ali Shahrokni | AWS re:Invent 2026 | workshop | The Physical AI Toolchain: A Full-Stack Solution with AWS and NVIDIA | — |
| Corey Nolet | AWS re:Invent 2026 | breakout | 10x Faster Vector Indexes: GPU Acceleration in Amazon OpenSearch with NVIDIA cuVS (sponsored by NVIDIA) | — |
| Curt Lockhart | AWS re:Invent 2026 | workshop | Fine-tune and evaluate NVIDIA Open models on Amazon SageMaker (sponsored by NVIDIA) | — |
| Felix Cheung | AWS re:Invent 2026 | lightning talk | Accelerating Data Processing: GPU Accelerated Amazon EMR at the Enterprise Scale (sponsored by NVIDIA) | — |
| Kevon Mayers | AWS re:Invent 2026 | lightning talk | Build It, Govern It, Ship It: CI/CD for AI Agents with the NVIDIA Agent Toolkit (sponsored by NVIDIA) | — |
| Kevon Mayers | AWS re:Invent 2026 | workshop | Build, Govern, Optimize: Trustworthy, Cost-Aware Agents with the NVIDIA Agent Toolkit (sponsored by NVIDIA) | — |
| Patrick Ames | AWS re:Invent 2026 | breakout | Speed up latency-sensitive workloads with Amazon S3 Express One Zone | — |
| Petro Junior Milan | AWS re:Invent 2026 | breakout | Koa: NVIDIA Nemotron-Powered CRM Reasoning Inside Salesforce’s AWS Trust Boundary (sponsored by NVIDIA) | — |
| Ulili Nhaga | AWS re:Invent 2026 | breakout | Modernizing file transfer with AWS Transfer Family | — |
| Lawrence Mitchell | Compute! Paris 2026 | speaker | Scaling up GPU acceleration in the Polars dataframe library | — |
| Mickael Ide | Compute! Paris 2026 | speaker | Accelerating Vector Search: Finding the needle when the haystack gets bigger and bigger | — |
| Chris Alexiuk | 7th Annual MLOps World | GenAI Summit 2026 | workshop | NemoClaw: Building a More Secure Runtime for Long-Running Autonomous Agents | — |
| Kalpesh Sutaria | 7th Annual MLOps World | GenAI Summit 2026 | speaker | Performance is the Product: Our Journey to SoTA for Nemotron Retriever | — |
| Nalin Dadhich | 7th Annual MLOps World | GenAI Summit 2026 | speaker | The Moments Real Video Misses: How Synthetic Data Made Cosmos 3 #1 | — |
| Max Li | Reverie 2026 | speaker | Cosmos: Omnimodal World Models for Physical AI | — |
| Max Li | Reverie 2026 | panelist | Physical AI Researchers (panel) | — |
| Ujval Kapasi | PyTorch Conference North America 2026 | keynote | Keynote: PyTorch Performance for Agents on Vera Rubin | — |
| Andy Grant | Data Decoded MCR 2026 | keynote | Agentic AI Comes of Age: Examples of Open Models for Agentic Workflows Advancing UK Science | — |
| Chris Alexiuk | MCP Dev Summit Toronto 2026 | featured | — | — |
| Adolf Hohl | AI Engineer Paris 2026 | speaker | Building the infrastructure behind the next-generation of AI | — |
| Dan Feigin | AI Engineer Paris 2026 | workshop | From Minutes to Seconds: Killing the Cold Start Tax on LLM Inference | — |
| Maxime Pariente | AI Engineer Paris 2026 | speaker | Optimizing Small VideoLLM: an End to End Problem | — |
| Ron Kahn | AI Engineer Paris 2026 | workshop | From Minutes to Seconds: Killing the Cold Start Tax on LLM Inference | — |
| Bianca Pryor | DDAC 2026 | featured | The Private Artificial Intelligence Blueprint: Accelerating Enterprise Deployment with Cloudera, Dell and NVIDIA | — |
| Bryan Catanzaro | Ray Summit 2026 | keynote | — | — |
| Ashwin Srinath | SciPy 2026 | speaker | GPU-Accelerated Awkward Arrays with CUDA Python | — |
| Bradley Dice | SciPy 2026 | speaker | Profiling Python GPU Code | — |
| Bryce Adelstein Lelbach | EuroPython 2026 | talk | GPU Programming in Pure Python | Video |
| Hongsup Shin | SciPy 2026 | speaker | Automated Data Enrichment for Police Accountability: Where Agentic Judgment Earns Its Place | — |
| Jaya Venkatesh | SciPy 2026 | tutorial | Deploying and debugging GPU accelerated Python workloads (Room HSEC 2-110) | — |
| Jaya Venkatesh | SciPy 2026 | speaker | Accelerating Geospatial Analysis with GPUs | — |
| Katrina Riehl | SciPy 2026 | tutorial | Reproducible CUDA Accelerated Workflows for Scientists with Pixi (Room HSEC 2-138) | — |
| Katrina Riehl | SciPy 2026 | tutorial | Accelerated Python Math Libraries (Room HSEC 2-110) | — |
| Katrina Riehl | SciPy 2026 | bof | GPU-Accelerated Python | — |
| Naty Clementi | SciPy 2026 | speaker | Accelerating Geospatial Analysis with GPUs | — |
| Naty Clementi | SciPy 2026 | bof | Lockfile-based development and applications | — |
| Naty Clementi | SciPy 2026 | tutorial | Deploying and debugging GPU accelerated Python workloads (Room HSEC 2-110) | — |
| Nicholas Geneva | SciPy 2026 | speaker | Navigating the Storm: Software Orchestration and Pipelines for AI-Driven Weather Forecasting | — |
| Esperanza Cuenca-Gomez | STAC @ NPL London 2026 | speaker | Accelerated quantum supercomputing | — |
| Asma Beevi | AI Engineer World's Fair 2026 | speaker | Compression at the Edge | Video |
| Carter Abdallah | AI Engineer World's Fair 2026 | speaker | Local Models: Trust, Control, Optimization | Video |
| Chris Alexiuk | AI Engineer World's Fair 2026 | speaker | Local Models: Trust, Control, Optimization | Video |
| Chris Alexiuk | AI Engineer World's Fair 2026 | speaker | Compression at the Edge | Video |
| Dhruv Nathawani | AI Engineer World's Fair 2026 | workshop | Teaching Agents to Search: Building Synthetic Training Pipelines with NVIDIA Data Designer | Video |
| Lovina Dmello | AI Engineer World's Fair 2026 | expo session | Your LLM Stack Is a 2008 Database With Better Marketing: Why ML Security Is Dominated by Misconfiguration, Not Missing Features | Video |
| Nader Khalil | AI Engineer World's Fair 2026 | speaker | Model Routing | Video |
| Nader Khalil | AI Engineer World's Fair 2026 | speaker | State of the Union: Why Local, Why Now | Video |
| Sean Sodha | AI Engineer World's Fair 2026 | speaker | Your Agreements Are a Database You Can't Query. We're Fixing That | — |
| Sheilah Kirui | AI Engineer World's Fair 2026 | speaker | Seeing the Plumbing: Profiling vLLM Speculative Decoding on NVIDIA Blackwell | — |
| Tanay Varshney | AI Engineer World's Fair 2026 | speaker | Model Routing | Video |
| 陈川 | Flink Forward Asia 2026 Shenzhen | keynote | NVIDIA与阿里云加速 Apache Flink 多模态数据流处理 | — |
| Anthony Hills | The AI Summit London 2026 | keynote | — | — |
| William Benton | Berlin Buzzwords 2026 | talk | Sunset for the Wild West: Making ML disciplined by default | Slides · Video |
| Jacob Tomlinson | PyData London 2026 | talk | Documenting your open source projects for machines | — |
| Katrina Riehl | PyData London 2026 | tutorial | GPU Algorithm Authoring with CUDA Tile | — |
| Nabin Mulepati | PyData London 2026 | tutorial | From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback | — |
| Todd Mostak | AI & Datanova 2026 (Miami) | speaker | — | — |
| Benjamin Glick | PyCon US 2026 | speaker | GPU Communications for Python | Video |
| Emma Smith | PyCon US 2026 | speaker | Rust for CPython: Making Python Safer and More Robust for Everyone | Video |
| Vyas Ramasubramani | PyCon US 2026 | speaker | What Python Developers Need to Know About Hardware: A Practical Guide to GPU Memory, Kernel Scheduling, and Execution Models | Video |
| Chris Alexiuk | AI Council 2026 | talk | RLVR in Practice: From Synthetic Data to GRPO | — |
| Tuomas Rintamaki | AI Council 2026 | keynote | Modern Inference for Modern Workloads | — |
| Esperanza Cuenca-Gomez | STAC Summit London, Spring 2026 | panelist | Quantum for finance: Breakthrough opportunity or expensive distraction? | — |
| Ziv Ilan | AI Engineer Europe 2026 | speaker | You Might Not Need 50 Diffusion Steps | Video |
| Asma Farjallah | PyTorch Conference Europe 2026 | speaker | Birds of A Feather: NCCL in the Wild: Scaling Communications To Thousands of GPUs | — |
| Besmira Nushi | PyTorch Conference Europe 2026 | keynote | Keynote: The Unbearable Lightness of (Agentic) Evaluations | — |
| Daniel Galvez | PyTorch Conference Europe 2026 | speaker | Parameterized CUDA Graph Launch in PyTorch: CUDA Graphs Without the Pain | — |
| Ekin Karabulut | PyTorch Conference Europe 2026 | speaker | Beyond the Theory: What Actually Breaks When You Scale Your Disaggregated Pytorch Models | — |
| Gabrielle US | PyTorch Conference Europe 2026 | speaker | Birds of A Feather: NCCL in the Wild: Scaling Communications To Thousands of GPUs | — |
| Grzegorz Chlebus | PyTorch Conference Europe 2026 | speaker | The Science and Practice of Open and Scalable LLM Evaluations | — |
| Jeff Hammond | PyTorch Conference Europe 2026 | speaker | Birds of A Feather: NCCL in the Wild: Scaling Communications To Thousands of GPUs | — |
| Julien Demouth | PyTorch Conference Europe 2026 | speaker | Optimizing Large MoE Inference on NVIDIA Blackwell: NVFP4, ADP, and DualPipe Strategies | — |
| Ke Wen | PyTorch Conference Europe 2026 | speaker | Birds of A Feather: NCCL in the Wild: Scaling Communications To Thousands of GPUs | — |
| Ke Wen | PyTorch Conference Europe 2026 | speaker | PyTorch Symmetric Memory + NCCL Device APIs: A New Path Towards Multi-GPU Kernels | — |
| Kshiteej Kalambarkar | PyTorch Conference Europe 2026 | speaker | Seamless Integration: Custom Kernels in the Torch.compile Stack Without Graphbreaks | — |
| Masaki Kozuki | PyTorch Conference Europe 2026 | speaker | Seamless Integration: Custom Kernels in the Torch.compile Stack Without Graphbreaks | — |
| Matthias Jouanneaux | PyTorch Conference Europe 2026 | speaker | Optimizing PyTorch on CPU-GPU Coherent Platforms | — |
| Pawel Gadzinski | PyTorch Conference Europe 2026 | speaker | Seamless Integration: Custom Kernels in the Torch.compile Stack Without Graphbreaks | — |
| Ron Kahn | PyTorch Conference Europe 2026 | speaker | Beyond the Theory: What Actually Breaks When You Scale Your Disaggregated Pytorch Models | — |
| Sylvain Jeaugey | PyTorch Conference Europe 2026 | speaker | PyTorch Symmetric Memory + NCCL Device APIs: A New Path Towards Multi-GPU Kernels | — |
| Rod Evans | World AI Cannes Festival 2026 | featured | — | — |
| Piotr Tarasiewicz | FOSDEM 2026 | speaker | Supercharging LLM serving with Dynamo | Video |
| Jiantao Jiao | MongoDB.local San Francisco 2026 | featured | — | — |
| Aaron Erickson | QCon AI New York 2025 | speaker | Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery | — |
| Jacob Tomlinson | PyData Boston 2025 | speaker | Accelerating Geospatial Analysis with GPUs | Video |
| Jaya Venkatesh | PyData Boston 2025 | speaker | Accelerating Geospatial Analysis with GPUs | Video |
| Katrina Riehl | PyData Boston 2025 | tutorial | CUDA Python Kernel Authoring | Video |
| Naty Clementi | PyData Boston 2025 | speaker | Accelerating Geospatial Analysis with GPUs | Video |
| Ali Shahrokni | AWS re:Invent 2025 | breakout | Train, Simulate, Deploy: Building NVIDIA-Powered Physical AI on AWS (sponsored by NVIDIA) | Video |
| Andrew Sun | AWS re:Invent 2025 | breakout | Building Enterprise-Ready Agentic Speech AI Pipelines on AWS (sponsored by NVIDIA) | Video |
| Charlie Huang | AWS re:Invent 2025 | breakout | Speed to Impact: AI Factory in the Cloud with NVIDIA on AWS (sponsored by NVIDIA) | Video |
| Chris Holland | AWS re:Invent 2025 | lightning talk | Tapping into the Power of Agentic AI: Driving Mission Success with NVIDIA & AWS (sponsored by NVIDIA) | — |
| Corey Nolet | AWS re:Invent 2025 | breakout | What’s new in search, observability, and vector databases with OpenSearch | Video |
| Dimitri Maltezakis | AWS re:Invent 2025 | workshop | Blueprint to Deployment: RAG Agent Systems on Amazon EKS with NVIDIA Nemotron (sponsored by NVIDIA) | — |
| Felix Cheung | AWS re:Invent 2025 | lightning talk | FINRA: Accelerate Massive Data Processing with NVIDIA on AWS EMR (sponsored by NVIDIA) | Video |
| Nima Badiey | AWS re:Invent 2025 | lightning talk | Enterprise AI: Now, Next, Future (sponsored by Teradata) | Video |
| Pahal Patangia | AWS re:Invent 2025 | breakout | The Next Frontier in Financial Systems: Transformer-based Foundation Models (sponsored by NVIDIA) | — |
| Rama Akkiraju | AWS re:Invent 2025 | breakout | Unlocking Enterprise Resilience: AI and Automation in Action (sponsored by PagerDuty) | Video |
| Robert Magno | AWS re:Invent 2025 | breakout | NVIDIA Run:ai and Amazon SageMaker HyperPod Integration for Distributed Training (sponsored by NVIDIA) | — |
| Aaron Erickson | QCon San Francisco 2025 | speaker | Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery | — |
| Ekin Karabulut | Data on Kubernetes Day North America 2025 | panelist | Panel: Cracking the Data Locality Puzzle | — |
| Juana Nakfour | Data on Kubernetes Day North America 2025 | speaker | Blazing-Fast Container Deployments: Image Caching With Block Storage | — |
| Manu Bhadoria | Data on Kubernetes Day North America 2025 | speaker | Blazing-Fast Container Deployments: Image Caching With Block Storage | — |
| Matthew Lee, RN, PhD | Data Con LA 2025 | panelist | Bridging Data, Design & Delivery: Transforming Health Systems with Analytics, AI & Operational Insight | — |
| Allison Ding | PyData Seattle 2025 | tutorial | Scaling Large-Scale Interactive Data Visualization with Accelerated Computing | — |
| Trent Nelson | PyData Seattle 2025 | speaker | Unlocking Parallel PyTorch Inference (and More!) with Python Free-Threading | Video |
| Jim Fan | Ray Summit 2025 | keynote | — | — |
| Abhishek Gaikwad | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Cory Ye | PyTorch Conference 2025 | speaker | Enabling Lightweight, High-Performance FSDP With NVIDIA GPU | — |
| Harry Kim | PyTorch Conference 2025 | speaker | Sponsored Session: Amazingly Fast and Incredibly Scalable Inference with NVIDIA's Dynamo and TensorRT-LLM | — |
| Jared US | PyTorch Conference 2025 | speaker | The Future Is Tiled: Using CuTile and TileIR To Write Portable, High-performance GPU Kernels | — |
| Jean Kossaifi | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Jean Kossaifi | PyTorch Conference 2025 | poster | Poster Presentations: Ecosystem & Performance | — |
| Jianbin Chang | PyTorch Conference 2025 | speaker | Enabling Lightweight, High-Performance FSDP With NVIDIA GPU | — |
| Jim Fan | PyTorch Conference 2025 | keynote | Keynote: The Physical Turing Test: Solving General Purpose Robotics | — |
| Jonathan DEKHTIAR | PyTorch Conference 2025 | lightning talk | Lightning Talk: Hardware-Aware Python Packages ~ PyTorch and WheelNext Grab the Wheel! | — |
| Laikh Tewari | PyTorch Conference 2025 | speaker | Sponsored Session: Amazingly Fast and Incredibly Scalable Inference with NVIDIA's Dynamo and TensorRT-LLM | — |
| Matthew US | PyTorch Conference 2025 | poster | Poster Presentations: Compilers & Kernels | — |
| Moein Khazraee | PyTorch Conference 2025 | speaker | Scaling KV Caches for LLMs: How LMCache + NIXL Handle Network and Storage Heterogeneity | — |
| Nader Al Awar | PyTorch Conference 2025 | poster | Poster Presentations: Edge & Hardware Acceleration | — |
| Nishank Chandawala | PyTorch Conference 2025 | poster | Poster Presentations: Compilers & Kernels | — |
| Peter St. John | PyTorch Conference 2025 | poster | Poster Presentations: Generative & Large Models | — |
| Piotr Żelasko | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Rishit Dagli | PyTorch Conference 2025 | lightning talk | Lightning Talk: But How Do You Autograd Through Your Simulator? Making a Differentiable Simulator in PyTorch | — |
| Sangkug Lym | PyTorch Conference 2025 | speaker | Enabling Lightweight, High-Performance FSDP With NVIDIA GPU | — |
| Serge Panev | PyTorch Conference 2025 | poster | Poster Presentations: Generative & Large Models | — |
| Wei Wang | PyTorch Conference 2025 | poster | Poster Presentations: PyTorch Core | — |
| Xuwen Chen | PyTorch Conference 2025 | speaker | Enabling Lightweight, High-Performance FSDP With NVIDIA GPU | — |
| Zeyuan Yang | PyTorch Conference 2025 | poster | Poster Presentations: Industry & Infrastructure | — |
| Zhe Zhang | PyTorch Conference 2025 | speaker | Meet the Developers of PyTorch Dev Infra | — |
| Andy Grant | Data Decoded MCR 2025 | keynote | AI for Science: Adapting Science Workflows in the Age of Agentic and Physical AI | — |
| Mike McCarty | PyData Vermont 2025 | tutorial | GPU-Accelerated Data Science for PyData Users | Video |
| Naty Clementi | PyData Vermont 2025 | tutorial | GPU-Accelerated Data Science for PyData Users | Video |
| Dan Blanaru | STAC Summit London, Fall 2025 | speaker | Presenting NVIDIA's STAC-AI benchmark results | — |
| Matt Hull | DDAC 2025 | keynote | AI Factory Unleashed: Creating Moments of Wonder | — |
| Kamil Tokarski | EuroPython 2025 | talk | GPU performance or ease of use: why not both? | Video |
| Szymon Karpiński | EuroPython 2025 | talk | GPU performance or ease of use: why not both? | Video |
| Allison Ding | SciPy 2025 | speaker | Unlocking AI Performance with NeMo Curator: Scalable Data Processing for LLMs | — |
| Allison Ding | SciPy 2025 | tutorial | Scaling Clustering for Big Data: Leveraging RAPIDS cuML | — |
| Bryce Adelstein Lelbach | SciPy 2025 | speaker | cuTile, the New/Old Kid on the Block: Python Programming Models for GPUs | — |
| Christopher Lamb | SciPy 2025 | keynote | Python at the Speed of Light: Accelerating Science with CUDA Python | — |
| Denis Leshchev | SciPy 2025 | speaker | Edge processing of X-ray ptychography: enabling real-time feedback for high-speed data acquisition | — |
| Erik Welch | SciPy 2025 | speaker | Lessons Learned from Adding Backend Dispatching to NetworkX and scikit-image | — |
| Irina Demeshko | SciPy 2025 | speaker | Scaling NumPy for Large-Scale Science: The cuPyNumeric Approach | — |
| Jacob Tomlinson | SciPy 2025 | speaker | EffVer: Versioning code by the effort required to upgrade | — |
| Jacob Tomlinson | SciPy 2025 | speaker | Teaching Python with GPUs: Empowering educators to share knowledge that uses GPUs | — |
| Katrina Riehl | SciPy 2025 | bof | GPU Accelerated Python | — |
| Katrina Riehl | SciPy 2025 | tutorial | The Accelerated Python Developer's Toolbox | — |
| Kevin Lee | SciPy 2025 | tutorial | Bring Accelerated Computing to Data Science in Python | — |
| Leo Fang | SciPy 2025 | speaker | CuPy: My Journey toward GPU-Accelerated Computing in Python | — |
| Naty Clementi | SciPy 2025 | speaker | Teaching Python with GPUs: Empowering educators to share knowledge that uses GPUs | — |
| Shreya Gupta | PyCon Colombia 2025 | keynote | — | Video |
| William Benton | Berlin Buzzwords 2025 | talk | "Do What I Mean": The History of AI and Program Synthesis | Video |
| Soumye Singhal | 9th Annual Toronto Machine Learning Summit (TMLS) 2025 | speaker | Llama-Nemotron: Efficient Open Reasoning Models | — |
| Bruno Trentini | The AI Summit London 2025 | keynote | Architecting the Systems That Will Accelerate the UK’s AI | — |
| Jacob Tomlinson | PyData London 2025 | tutorial | GPU Accelerated Python | — |
| Katrina Riehl | PyData London 2025 | tutorial | GPU Accelerated Python | — |
| Lawrence Mitchell | PyData London 2025 | tutorial | GPU Accelerated Python | — |
| Michał Szołucha | PyData London 2025 | talk | Parallel PyTorch Inference with Python Free-Threading | — |
| Aastha Jhunjhunwala | AI Engineer World's Fair 2025 | speaker | What Is a Humanoid Foundation Model? An Introduction to GR00T N1 | Video |
| Annika Brundyn | AI Engineer World's Fair 2025 | speaker | What Is a Humanoid Foundation Model? An Introduction to GR00T N1 | Video |
| Mitesh Patel | AI Engineer World's Fair 2025 | speaker | HybridRAG: A Fusion of Graph and Vector Retrieval to Enhance Data Interpretation | Video |
| Barry Warsaw | PyCon US 2025 | speaker | Reinventing the Wheel: A Community-Driven Roadmap for Python Packaging | Video |
| Bryce Adelstein Lelbach | PyCon US 2025 | speaker | GPU Programming in Pure Python | Video |
| Irina Demeshko | PyCon US 2025 | speaker | Scale Smarter, Not Harder, with cuPyNumeric. | Video |
| Sanjana Kandi | PyCon US 2025 | speaker | AI with a Conscience: Building Fair and Transparent Systems in Python | — |
| Prabhu Ramamoorthy | STAC Summit New York, Spring 2025 | speaker | Neurosymbolic AI – Combining AI with Quantitative Finance | — |
| Prabhu Ramamoorthy | STAC Summit New York, Spring 2025 | panelist | License to operate: Expanding MLOps for the agentic era | — |
| Bo Dong | PyCon DE & PyData 2025 | talk | Outgrowing your node? Zero stress scaling with cuPyNumeric. | — |
| Tim Head | PyCon DE & PyData 2025 | talk | Zero Code Change Acceleration: familiar interfaces and high performance | — |
| Mike McCarty | PyData Virginia 2025 | tutorial | Getting Started with RAPIDS: GPU-Accelerated Data Science for PyData Users | Video |
| Naty Clementi | PyData Virginia 2025 | tutorial | Getting Started with RAPIDS: GPU-Accelerated Data Science for PyData Users | Video |
| Ralph Liu | PyData Virginia 2025 | speaker | Zero Code Change GPU-Powered Graph Analytics with NetworkX and cuGraph | Video |
| Ryan E. Beisner | Data on Kubernetes Day Europe 2025 | speaker | Write-Through Object Cache for Fleets of Global Edge Clusters | — |
| Felix Abecassis | FOSDEM 2025 | speaker | Adding built-in support for basic performance test analytics to ReFrame | Slides · Video |
| Vasileios Karakasis | FOSDEM 2025 | speaker | Adding built-in support for basic performance test analytics to ReFrame | Slides · Video |
| Lavinia Ghita | STAC Summit London, Fall 2024 | panelist | The new table stakes? Advanced compute for time series modeling | — |
| Abhishek Sawarkar | AWS re:Invent 2024 | breakout | Build, customize, and deploy generative AI with NVIDIA on AWS (sponsored by NVIDIA) | Video |
| Charlie Huang | AWS re:Invent 2024 | breakout | Build, customize, and deploy generative AI with NVIDIA on AWS (sponsored by NVIDIA) | Video |
| Dave Salvator | AWS re:Invent 2024 | breakout | NVIDIA accelerated computing platform on AWS (sponsored by NVIDIA) | Video |
| Elica (Elitsa) Kyoseva | AWS re:Invent 2024 | breakout | Accelerate R&D in quantum computing with Amazon Braket & NVIDIA CUDA-Q | Video |
| Erik Pounds | AWS re:Invent 2024 | breakout | Bring AI to life with DataStax, NVIDIA, and Wikimedia (sponsored by DataStax) | Video |
| Jen Hoskins | AWS re:Invent 2024 | breakout | NVIDIA AI startups: Innovations in action (sponsored by NVIDIA) | Video |
| Jin-Sung Kim | AWS re:Invent 2024 | chalk talk | [NEW LAUNCH] Get hands-on with NVIDIA CUDA-Q on Amazon Braket | — |
| Joey Conway | AWS re:Invent 2024 | breakout | AI-driven value: Capital One's path to better customer experience (sponsored by NVIDIA) | Video |
| Judy Lee | AWS re:Invent 2024 | lightning talk | AI at production scale: Cloudera’s inference service with NVIDIA (sponsored by Cloudera) | Video |
| Marc Spieler | AWS re:Invent 2024 | breakout | An open collaboration for HPC acceleration | Video |
| Nave Algarici | AWS re:Invent 2024 | breakout | Accelerate business decisions and cyber resiliency with RAG and AI (sponsored by Cohesity) | Video |
| Rishabh Chadha | AWS re:Invent 2024 | breakout | Advancing physical AI: NVIDIA Isaac Lab and AWS for next-gen robotics (sponsored by NVIDIA) | Video |
| Sameer Raheja | AWS re:Invent 2024 | lightning talk | Accelerate Apache Spark up to 5 times on AWS with RAPIDS (sponsored by NVIDIA) | Video |
| Szymon Arkuszewski | AWS re:Invent 2024 | breakout | AWS and NVIDIA: Connecting workforce identity for gen AI and analytics | Video |
| Benjamin Zaitlen | PyData NYC 2024 | keynote | Density! The not-so-secret trend driving the future of Data Analytics | Video |
| Bryce Lelbach | PyData NYC 2024 | speaker | Accelerating GPU Algorithms in pure Python | Video |
| Jacob Tomlinson | PyData NYC 2024 | tutorial | GPU Accelerated Python | Video |
| Katrina Riehl | PyData NYC 2024 | tutorial | GPU Accelerated Python | Video |
| Mike McCarty | PyData NYC 2024 | tutorial | GPU Accelerated Python | Video |
| Mark Bennett | STAC Summit Chicago, Fall 2024 | panelist | The new table stakes? Advanced compute for time series modeling | — |
| Nick Becker | ODSC West 2024 | keynote | From AI to Data Processing: The Next Phase of Accelerated Computing | — |
| Ioana Boier | STAC Summit New York, Fall 2024 | panelist | The new table stakes? Advanced compute for time series modeling | — |