📰 AI News: NVIDIA Launches Nemotron 3, Open AI Models Built For Agentic Workflows
📝 TL;DR NVIDIA just dropped Nemotron 3, an open family of AI models built specifically for agents that do multi step work, not just chat. Think of it as an efficiency focused, business ready backbone for AI teammates that can reason, plan, and collaborate with other agents. 🧠 Overview Nemotron 3 is a new lineup of open models in three sizes, Nano, Super, and Ultra, designed to power AI agents that handle complex workflows instead of simple one off prompts. It focuses on two big pain points most businesses feel, cost and control. The models are optimized to be highly efficient, and they are open so teams can inspect, customize, and fine tune them to their own data and regulations. 📜 The Announcement NVIDIA announced the Nemotron 3 family of open models, plus matching datasets and reinforcement learning tools, to help developers build specialized, transparent agentic AI systems across industries. The lineup includes Nemotron 3 Nano, Super, and Ultra, each tuned for different workloads, from lightweight multi agent setups to heavy duty reasoning engines. Nemotron 3 Nano is available through open model hubs and inference providers, with Super and Ultra expected to follow. ⚙️ How It Works • Three model sizes, one ecosystem - Nemotron 3 Nano is a 30 billion parameter model that only activates up to 3 billion parameters per token, Super is around 100 billion, and Ultra around 500 billion, giving you a range from lightweight to frontier level reasoning. • Hybrid mixture of experts - The models use a hybrid latent mixture of experts architecture, which basically means the model only uses the parts it needs for each token, boosting speed and lowering cost without throwing away overall capacity. • Built for multi agent setups - Super and Ultra are tuned for scenarios where many agents collaborate on a task, routing work between themselves with low latency and high accuracy, ideal for complex workflows like research, coding, or enterprise operations.