NVIDIA just dropped Nemotron 3 Super, a 120-billion-parameter open-weight model that only activates 12 billion parameters at a time and it’s built for the agentic AI era. In this Five-Minute Friday, Jon Krohn breaks down the model’s hybrid Mamba-Transformer architecture, its million-token context window, and why its combination of frontier-class reasoning with blazing-fast throughput matters for anyone building multi-agent systems. Find out how Nemotron 3 Super claimed the #1 spot on the DeepResearch Bench leaderboards, which companies are already adopting it, and where you can start using it today. Additional materials: www.superdatascience.com/976 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
Fler avsnitt av Super Data Science: ML & AI Podcast with Jon Krohn
Visa alla avsnitt av Super Data Science: ML & AI Podcast with Jon KrohnSuper Data Science: ML & AI Podcast with Jon Krohn med Jon Krohn finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
