Nebius x NVIDIA Global AI Hackathon

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  LandingView / QueryHub

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  FeatureGrid

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  ResearchDetail

Inspiration

Building production-grade, highly reliable multi-agent systems often suffers from fragmented codebases, missing implementations, and poor integration with high-performance inference APIs. The goal was to engineer a fully realized, end-to-end multi-file application from scratch with zero placeholders, leveraging advanced NVIDIA Nemotron models on Nebius Token Factory.

What it does

The platform delivers a complete multi-agent system featuring an optimized FastAPI backend, a clean React/Tailwind CSS frontend, database schemas, and containerization setup. It utilizes intelligent model-tier routing—dispatching complex reasoning tasks to heavy Nemotron models while routing high-frequency operations to fast Nano or Super variants to maximize performance and minimize latency.

How I built it

• Backend: Built a robust FastAPI server handling core orchestration, real-time Nebius Serverless Endpoints, and asynchronous background jobs.
• Frontend: Designed a clean, responsive interface using React and Tailwind CSS for real-time agent telemetry and interaction.
• Inference Pipeline: Integrated NVIDIA Nemotron models natively with smart tier-routing logic.
• Architecture: Structured a multi-file system complete with .env.example, docker-compose.yml, and rapid setup instructions to ensure local deployment in under five minutes.

Challenges I ran into

Ensuring that every single file was fully implemented without relying on lazy shortcuts or // TODO placeholder comments required rigorous type safety and strict modular structuring. Balancing latency with deep reasoning tiers via the Nebius API also required careful asynchronous queue handling.

What I learned

I mastered the intricacies of multi-agent architecture design, dynamic model-tier routing strategies, and structuring production-ready full-stack applications that are instantly deployable via containerization.

What's next for the platform

Expanding the multi-agent swarm capabilities to support dynamic self-healing loops, scaling asynchronous job workers across distributed clusters, and introducing persistent agent memory graphs.

Built With

• factory
• fastapi
• javascript
• nebius
• nvidia-nemotron
• python
• react
• tailwind-css
• token