Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology

• Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization

• Built a dataset using an agent based on Nemotron 3 Super120B, presenting a data-centric rather than algorithm-centric optimization approach

SEOUL, South Korea, April 24, 2026 /PRNewswire/ — Nota AI, a leading AI model compression and optimization company, today announced that it took 1st place in Track C at the NVIDIA Nemotron Hackathon with its synthetic data generation technology specialized for Mixture of Experts (MoE) quantization, and was named Grand Prize winner among all 20 competing teams.

The hackathon was organized to share the latest research on NVIDIA’s newest open-source AI model, “Nemotron™”, and to give Korean developers hands-on experience with world-class AI technologies to strengthen their practical application capabilities. Participants competed across three tracks using NVIDIA technology: developing AI agents to solve real-world problems (Track A), advancing domain-specific Nemotron models through SFT and RL (Track B), and designing synthetic data pipelines to build high-quality datasets (Track C). Nota AI took 1st place in Track C, which focused on synthetic data pipelines for SDG, and received the highest overall evaluation among all competing teams to claim the Grand Prize.

In the competition, Nota AI…