Nota, an AI model lightweighting and optimisation company, won the overall top prize at the Nvidia Nemotron hackathon, finishing first among 20 teams. It used synthetic data generation technology specialised for mixture-of-experts (MoE) quantisation. The event was held to share research results from Nvidia\'s open-source AI model Nemotron and improve the practical application capabilities of domestic developers, and ran in three tracks.

Nvidia said it will shift competition in AI semiconductors from chip specifications to end-to-end efficiency across pre-training, post-training, inference and agents. It also disclosed measured results showing Blackwell-based GPUs deliver 55 times faster mixture-of-experts inference than the prior Hopper generation. Nvidia highlighted efficiency gains from a new numeric format and software advances, and introduced curriculum-based post-training results for its Nemotron 3 Nano model. It also said Korean partners are participating and unveiled a Korean-focused synthetic dataset.