The Spark Hack Series - Toronto
Your Agents. Your Models. Your Edge.
Build autonomous systems that think, act, and run anywhere.
We’re challenging you to design agentic applications powered by open models, deployed on DGX Spark, pushing the limits of local-first intelligence, orchestration, and real-world utility.
NVIDIA is bringing the Spark Hack Series to Toronto.
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.
No hardware? No problem.
We'll provide every team with an ASUS GX10—powered by the NVIDIA GB10 Grace Blackwell Superchip—to use throughout the weekend.
Hardware Sponsor: ASUS
How to Participate
This hackathon is limited to a maximum of 30 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: Each challenge track first place winner will receive one ASUS Ascent GX10.
Challenge Tracks
Teams must use open data from the City of Toronto 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 organizations make better economic decisions, unlock opportunities, or optimize 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: Optimizing how Toronto 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 to Get Started
Start Building on DGX Spark: Find instructions and examples to run AI workloads on the NVIDIA GB10 Grace Blackwell Superchip.
NVIDIA Build Model Endpoints: Access low-latency, high-accuracy endpoints designed for agentic systems.
NVIDIA Privacy Policy: https://www.nvidia.com/en-us/about-nvidia/privacy-policy/