NVIDIA Physical AI Community

Welcome to the Nebius x NVIDIA Global AI Hackathon

Build a working AI system on open, independent infrastructure, and own the whole thing. The NVIDIA x Nebius Global AI Hackathon is for AI builders, ML engineers, founders, and anyone shipping practical, high-performance AI. You'll build with NVIDIA open source models served on Nebius through Nebius Token Factory, on high performance GPU infrastructure. Experiment with new ideas, push the boundaries of open source AI, and submit a project for a chance to win prizes and recognition.

Join fellow builders for technical onboarding, casual workshops, team formation, focused build time, and feedback as you participate in the Global AI Hackathon. Find your nearby city/event here!

The Challenge
All submissions must run on either Nebius Token Factory or Nebius AI Cloud and use at least one NVIDIA open source model. Everything else is up to you.

What to Build
Whether it is an app, agent, or something entirely new, your project should fit into one of the following tracks:

• Coding and Agentic Engineering Track
  • Build coding agents and developer tools: agents that write, run, and test code in Token Factory Sandboxes.
• Best Apps and Agents Track 
  • Build any app or agent someone would actually use, from a productivity tool or copilot to a workflow that runs itself. Power it with Nemotron models on Nebius through Token Factory. Reach for Nemotron 3 Ultra when you need serious reasoning, and let Nano or Super handle the fast, everyday calls, so your app stays responsive and your credits stretch further. We encourage you to deploy your application with Nebius Serverless Endpoints, or use Nebius Serverless Jobs for background processing and asynchronous workflows, though neither is required.
• Personal AI Track
  • Build an always-on, private assistant that works for you while keeping your data under your control. Give it persistent memory, reusable skills, access to the tools and information you choose, and the ability to carry out tasks across your daily workflows. Use at least one NVIDIA open source model, and use tools such as NVIDIA NemoClaw, OpenShell, Hermes Agent, and Nebius Serverless to bring personal AI to assemble, secure, and run your own personal AI system.
• Physical AI Track
  • Build embodied and edge agents that sense and act in the real world: robotics, IoT, and on-device intelligence, powered by Nemotron, GROOT, Cosmos and Sonic models and coordinated through an agent runtime. Use Nebius Serverless Jobs to run simulations, generate synthetic data, evaluate robot policies, or process sensor data at scale, and Nebius Serverless Endpoints to serve real-time inference when needed. Your demonstration video must include at least a 1-minute clip showing the physical hardware/robot actually operating, or — if your project has no physical hardware component — the key application modules in action.

What to Submit

• A working project. Build something with NVIDIA Nemotron or other NVIDIA open source models on either Nebius Token Factory or Nebius AI Cloud that meets the track requirements.
• A category. Pick the track that is the best fit for your project.
• A project description. Tell us what you created, why you created it, and how it works.
• A working demo. Provide a URL to a working demo, hosted application, or test build of your project.
  • Not required for Physical AI submissions.
• A demo video. Upload a 3-minute or shorter public YouTube video showing your project working, with audio covering how you used Nebius Token Factory and NVIDIA Nemotron or other NVIDIA open source models. 
  • Physical AI submissions should include at least one minute of footage showing the physical hardware/robot actually operating, or — if your project has no physical hardware component — the key application modules in action.
• A public code repository. Submit a publicly accessible code repository URL (GitHub, GitLab, or Bitbucket) for judging and testing. The repository must include an open source license (such as Apache 2.0, MIT, or MPL 2.0), visible at the top of the repository page.
  • Include a README with setup instructions and clear guidance for running your project.
  • Make sure to highlight how you've used NVIDIA Nemotron or other NVIDIA open source models, where Token Factory accelerated your workflow, and any other Nebius Tools or Services used.
• Feedback on Nebius Token Factory, AI Cloud, and any NVIDIA tools, models, or technologies used.
• If your project existed before the Submission Period, include a written explanation of what was significantly updated during the Submission Period.
• If you participated in one of the IRL Builders & Brews events, choose the city you attended for a chance to win the City Winner Award.
• Review the complete Official Rules. 

Join us for a deep dive into Alpamayo 2 Super — our most capable model yet — as we walk through the release notebooks and show how it can power robotaxi and L4 autonomous vehicle pipelines at a fraction of the cost of existing solutions. 
We'll also share the latest AlpaSim updates, including new controller improvements, and give a full rundown of our two ongoing challenges — including how we've incorporated your feedback since the initial release.

Attendees will learn:

• How to use Alpamayo 2 Super's new capabilities via the release notebooks, and how to apply it to auto-labeling pipelines faster and cheaper than GPT-based alternatives
• The current state of both ongoing challenges — metrics, structure, and what's changed based on community feedback
• The latest AlpaSim updates, including new controller improvements, and what's coming next

Take a closer look at the newest Isaac Lab-Arena release and how it helps developers and researchers benchmark and evaluate robot policies in simulation at scale. We’ll explore the latest capabilities, walk through how to author scalable benchmarks, and show how Isaac Lab-Arena can be used to evaluate policies across robotics tasks and environments.

Through technical demos and insights from NVIDIA experts, you’ll see where Isaac Lab-Arena fits into the broader robotics development workflow and how you can start using it in your own projects.

Whether you’re developing robot policies, conducting robotics research, or exploring simulation-based workflows, join us to learn what’s new and connect with others building the next generation of robotics and Physical AI.

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

OpenUSD Insider is a livestream series for developers and technical artists building with OpenUSD and NVIDIA Omniverse. Each episode explores practical OpenUSD workflows, tools, and real-world projects across 3D application development, simulation, and digital twins. Hear directly from NVIDIA experts, partners, and community developers as they share technical insights, demos, and lessons learned from building with OpenUSD.

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

ROSCon brings together developers, researchers, and robotics teams from across the ROS ecosystem to share what they’re building and explore what’s next for robotics and Physical AI.

NVIDIA will be there with technical sessions, community events, and opportunities to connect with NVIDIA experts and fellow robotics developers throughout the week. Whether you’re working with ROS, simulation, robot learning, perception, autonomy, or deploying AI on real robots, there will be plenty to explore. 

More details are coming soon, including NVIDIA sessions, community meetups, and other ways to connect with us at ROSCon.

If you’re planning to attend, let us know below. We’d also love to hear what topics you’re most interested in!

OpenUSD Insider is a livestream series for developers and technical artists building with OpenUSD and NVIDIA Omniverse. Each episode explores practical OpenUSD workflows, tools, and real-world projects across 3D application development, simulation, and digital twins. Hear directly from NVIDIA experts, partners, and community developers as they share technical insights, demos, and lessons learned from building with OpenUSD.

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

As part of Fellows Forum 2026, Ming-Yu Liu will give a keynote on Sept. 24 at 9:45 a.m. PT exploring foundation models for robotics and the physical world.

If you’re working in robotics, Physical AI, or foundation models, tune in to hear Ming-Yu share insights on where the field is heading and the role foundation models can play in advancing intelligent systems in the physical world.

🔗 Livestream registration is required. Learn more and follow along at Fellows Forum.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

OpenUSD Insider is a livestream series for developers and technical artists building with OpenUSD and NVIDIA Omniverse. Each episode explores practical OpenUSD workflows, tools, and real-world projects across 3D application development, simulation, and digital twins. Hear directly from NVIDIA experts, partners, and community developers as they share technical insights, demos, and lessons learned from building with OpenUSD.

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The VAST Builders Challenge is a three-city technical event series bringing together founders and engineers across New York, London, and San Francisco to build production-ready AI systems. 

Spend the day building agents to unlock the value of video. Because video is hard to search and analyze, most of it stays in storage, unwatched and underused. 

Experiment with the latest AI infrastructure, collaborate with other ambitious builders, and turn your ideas into shippable prototypes - with access to expert guidance, compute, and the tools you need to ship. 

Hosted with VAST Data in collaboration with NVIDIA, Cursor, CoreWeave and Weights & Biases. 

The Builders Stack 
Here's what you get out of the box, a lightning-quick setup: 

• Video understanding: reason over a video clip with NVIDIA Cosmos. 
• Semantic search: find moments across hours of footage using natural language.
• Object detection: real-time detection and tracking across frames with YOLO.
• General-purpose LLMs: models from Weights & Biases to power your application logic (e.g. video agents). 

The VAST AI OS orchestrates the video ingestion and data layer, models are served on CoreWeave GPUs, and builders ship with Cursor. 

Build your own video agent or something no one’s thought of. Start with publicly available open data and live feeds, or bring your own videos. 

Who should attend 

Developers, ML/AI engineers, agent builders, and data engineers, from startups to enterprise teams working with video or multimodal AI. 

While individuals are welcome, we encourage teams of up to four members and will prioritize team applications. You can form a team on the day of the event or arrive with one already assembled. 

Applications are required. Space is limited. Registration closes one week prior to the event. 

Please register using the same email address associated with your Cursor credits. The email you use to register will also be used for the Builders Challenge prerequisites. 

Prizes 

• 1st place: NVIDIA DGX Spark™ 
• Runner-up: to be announced! 

Agenda 
8:30am Doors Open + Breakfast 
9:00am Opening Keynotes 
9:30am Build Begins 
12:30pm Lunch 
4:30pm Demos 
6:30pm Closing & Awards

Registration Required: https://luma.com/vastsf

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

The VAST Builders Challenge is a three-city technical event series bringing together founders and engineers across New York, London, and San Francisco to build production-ready AI systems. 

Spend the day building agents to unlock the value of video. Because video is hard to search and analyze, most of it stays in storage, unwatched and underused. 

Experiment with the latest AI infrastructure, collaborate with other ambitious builders, and turn your ideas into shippable prototypes - with access to expert guidance, compute, and the tools you need to ship. 

Hosted with VAST Data in collaboration with NVIDIA, Cursor, CoreWeave and Weights & Biases. 

The Builders Stack 
Here's what you get out of the box, a lightning-quick setup: 

• Video understanding: reason over a video clip with NVIDIA Cosmos. 
• Semantic search: find moments across hours of footage using natural language.
• Object detection: real-time detection and tracking across frames with YOLO.
• General-purpose LLMs: models from Weights & Biases to power your application logic (e.g. video agents). 

The VAST AI OS orchestrates the video ingestion and data layer, models are served on CoreWeave GPUs, and builders ship with Cursor. 

Build your own video agent or something no one’s thought of. Start with publicly available open data and live feeds, or bring your own videos. 

Who should attend 

Developers, ML/AI engineers, agent builders, and data engineers, from startups to enterprise teams working with video or multimodal AI. 

While individuals are welcome, we encourage teams of up to four members and will prioritize team applications. You can form a team on the day of the event or arrive with one already assembled. 

Applications are required. Space is limited. Registration closes one week prior to the event. 

Please register using the same email address associated with your Cursor credits. The email you use to register will also be used for the Builders Challenge prerequisites. 

Prizes 

• 1st place: NVIDIA DGX Spark™ 
• Runner-up: to be announced! 

Agenda 
8:30am Doors Open + Breakfast 
9:00am Opening Keynotes 
9:30am Build Begins 
12:30pm Lunch 
4:30pm Demos 
6:30pm Closing & Awards

Registration Required: https://luma.com/vastnyc

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

The VAST Builders Challenge is a three-city technical event series bringing together founders and engineers across New York, London, and San Francisco to build production-ready AI systems. 

Spend the day building agents to unlock the value of video. Because video is hard to search and analyze, most of it stays in storage, unwatched and underused. 

Experiment with the latest AI infrastructure, collaborate with other ambitious builders, and turn your ideas into shippable prototypes - with access to expert guidance, compute, and the tools you need to ship. 

Hosted with VAST Data in collaboration with NVIDIA, Cursor, CoreWeave and Weights & Biases. 

The Builders Stack 
Here's what you get out of the box, a lightning-quick setup: 

• Video understanding: reason over a video clip with NVIDIA Cosmos. 
• Semantic search: find moments across hours of footage using natural language.
• Object detection: real-time detection and tracking across frames with YOLO.
• General-purpose LLMs: models from Weights & Biases to power your application logic (e.g. video agents). 

The VAST AI OS orchestrates the video ingestion and data layer, models are served on CoreWeave GPUs, and builders ship with Cursor. 

Build your own video agent or something no one’s thought of. Start with publicly available open data and live feeds, or bring your own videos. 

Who should attend 

Developers, ML/AI engineers, agent builders, and data engineers, from startups to enterprise teams working with video or multimodal AI. 

While individuals are welcome, we encourage teams of up to four members and will prioritize team applications. You can form a team on the day of the event or arrive with one already assembled. 

Applications are required. Space is limited. Registration closes one week prior to the event. 

Please register using the same email address associated with your Cursor credits. The email you use to register will also be used for the Builders Challenge prerequisites. 

Prizes 

• 1st place: NVIDIA DGX Spark™ 
• Runner-up: to be announced! 

Agenda 
8:30am Doors Open + Breakfast 
9:00am Opening Keynotes 
9:30am Build Begins 
12:30pm Lunch 
4:30pm Demos 
6:30pm Closing & Awards

Registration Required: https://luma.com/vastlondon

The NVIDIA GTC AI conference is coming to Berlin, bringing together developers, researchers, and industry leaders to go deep on AI infrastructure. Sessions will span the entire five-layer AI stack, from energy, chips, and infrastructure to open models and physical AI applications empowering every industry and organization to build AI on their own terms.

See CEO Jensen Huang's live keynote at the iconic Tempodrom, then join us at STATION-Berlin for dynamic sessions, hands-on labs, and exclusive networking.  

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html