NVIDIA Hack for Impact - London
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.
Resources and Legal
NVIDIA Privacy Policy: https://www.nvidia.com/en-us/about-nvidia/privacy-policy/