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NVIDIA Hack for Impact - London

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London, United Kingdom
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About Event

​Overview

​Your Agents. Your Models. Your Edge.

​Build autonomous systems that think, act, and run anywhere. Whilst also making a positive impact on the world.

​We’re challenging you to design agentic applications powered by open models, deployed on DGX Spark or ZGX Nano AI station, pushing the limits of local-first intelligence, orchestration, and real-world utility. All whilst leveraging the latest open source models.

​NVIDIA is bringing the Hack for Impact Series to London.

​This event brings together frontier builders, applied ML engineers, systems thinkers, and startup teams to explore what’s possible when agentic AI meets high-performance local compute.

​In collaboration with our hardware sponsors, we'll provide every team with a DGX Spark or ZGX Nano AI Station—powered by the NVIDIA GB10 Grace Blackwell Superchip—to use throughout the weekend.

​Hardware Sponsors: HP and Scan

​Cloud Compute Sponsor: Nebius

​Model Sponsor: ElevenLabs

​How to Participate: This hackathon is limited to a maximum of 40 teams. Once we reach capacity, additional applicants will be placed on a waitlist and notified if a spot becomes available.

​Application Guidelines:

​You must be able to attend the event in person.

​Team Size: Minimum 3 / Maximum 5 members.

​Priority: Full team applications will be prioritized over individual applications. We highly encourage you to form and apply as a team.

​Individuals: If you apply as an individual, we will do our best to match you with a team. If accepted, you will be required to compete with your assigned team.

​Prizing: Both NVIDIA and the following sponsors will be awarding the following prizes from their respective judging panels:

​NVIDIA will award 1x DGX Spark

​Scan will award 1x DGX Spark

​HP will award 1x ZGX Nano AI Station

​More prizing, include bounties, to be announced soon.

​Challenge Tracks

​Teams must use open data from the City of London as a foundation for their projects, drawing from datasets like those available on the city’s open data portal, grounding their projects in real aspects of urban life.

​Each track defines a theme of impact, not the scope of your idea. Teams are free to build any solution using any of the open datasets linked above.

​1. Economic Systems

​Focus: Improving how money flows through the city across businesses, workers, and markets.

​The Goal: Build agentic systems that help individuals and organisations make better economic decisions, unlock opportunities, or optimise costs.

​2. Public Services

​Focus: Enhancing how people access and interact with city services and resources.

​The Goal: Use data to build tools that simplify navigation of public systems, making essential services more accessible, efficient, and user-friendly.

​3. Urban Operations

​Focus: Optimising how London runs, from large-scale infrastructure to everyday city life.

​The Goal: Develop systems that improve how the city functions behind the scenes and in real time.


​Acknowledgments: Technical Support Leads & Judges

  • ​Claudiu Burlacu, HP

  • ​Mozhgan Kabiri Chimeh, NVIDIA

  • ​Benedetta Delfino, NVIDIA

  • ​Dan Hegedus, ElevenLabs

  • ​Liana Mikaelyan, NVIDIA

  • ​Harshita Seth, NVIDIA

  • ​Shailabh Suman, NVIDIA



​Resources and Legal

​NVIDIA Privacy Policy: https://www.nvidia.com/en-us/about-nvidia/privacy-policy/

Location
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London, United Kingdom
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