New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI

· Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Advanced, quick

Summary

NVIDIA has launched Nemotron 3 Super, a 120-billion-parameter open model featuring 12 billion active parameters, specifically engineered to power complex agentic AI systems at scale. This model, available now, integrates advanced reasoning capabilities to enable autonomous agents to efficiently complete tasks with high accuracy. AI-native companies, such as Perplexity, are already providing their users access to Nemotron 3 Super, indicating its immediate applicability in real-world AI applications requiring sophisticated agentic behavior and robust performance.

Key takeaway

For AI/ML Directors evaluating large language models for agentic workflows, Nemotron 3 Super offers a powerful, open-source option with 120 billion parameters and strong reasoning capabilities. Consider integrating this model to enhance the accuracy and efficiency of your autonomous agent systems, especially if you require a scalable solution for complex tasks.

Key insights

Nemotron 3 Super is an open 120B-parameter model designed for scalable, accurate agentic AI systems.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, Machine Learning Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.