NVIDIA’s New AI Just Changed Everything

2026-04-07 · Source: Two Minute Papers · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

NVIDIA has released Nemotron 3 Super, a 120 billion parameter open-source AI assistant trained on 25 trillion tokens, which roughly matches the performance of leading closed-source models from 18 months ago. This model is freely available, along with a 51-page research paper detailing its development and training data. A key innovation is the NVFP4 version, which achieves up to 7 times faster inference compared to similarly smart open models, with no meaningful loss in accuracy. This speedup is attributed to four core techniques: NVFP4 for compressed mathematics, multi-token prediction for generating multiple tokens simultaneously, Mamba layers for efficient memory processing, and stochastic rounding to mitigate error accumulation during calculations. The release signifies a shift towards more powerful, transparent, and accessible open-source AI systems.

Key takeaway

For MLOps Engineers evaluating open-source large language models, Nemotron 3 Super presents a compelling option due to its competitive performance and significant inference speed advantages. Its detailed public documentation and free availability reduce adoption barriers and operational costs. Consider integrating Nemotron 3 Super for applications requiring efficient, high-throughput AI assistance, especially where transparency and control over the model's inner workings are paramount.

Key insights

NVIDIA's Nemotron 3 Super offers a powerful, open-source AI assistant with significant speed improvements via novel architectural and mathematical techniques.

Principles

• Open-source models can rival closed-source performance.
• Computational efficiency is critical for AI accessibility.

Method

Nemotron 3 Super achieves high performance and speed through NVFP4 compressed mathematics, multi-token prediction (7 tokens), Mamba layers for memory efficiency, and stochastic rounding for error correction.

In practice

• Utilize NVFP4 for faster inference with minimal accuracy loss.
• Implement multi-token prediction to accelerate response generation.

Topics

• Nemotron 3 Super
• Open-Source AI Models
• NVFP4 Compression
• Multi-token Prediction
• Mamba Architecture

Best for: MLOps Engineer, CTO, Director of AI/ML, AI Scientist, Machine Learning Engineer, AI Student

Related on AIssential

• New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI — Nemotron 3 Super is an open 120B-parameter model designed for scalable, accurate agentic AI systems.
• NVIDIA's New Free AI - A Gift To Humanity — NVIDIA's NeMoTron 3 Ultra is a fast, open-licensed, text-only 550B parameter model excelling in agentic tasks but not complex coding.
• NVIDIA Releases Nemotron 3 Super: A 120B Parameter Open-Source Hybrid Mamba-Attention MoE Model Delivering 5x Higher Throughput for Agentic AI — Nemotron 3 Super is an open-source 120B parameter hybrid MoE model for efficient multi-agent reasoning.
• Nvidia’s Open Salvo, OpenAI’s Amazon Deal, Grok Cuts Video Prices, Recursive Language Models — Nvidia's Nemotron 3 Super offers a fast, open-source LLM for agents, leveraging hybrid architecture and co-designed hardware-software optimization.
• Nemotron 3: NVIDIA’s Latest LLM in Plain English — Nemotron 3 balances advanced AI capabilities with practical deployment efficiency for agentic workloads.
• NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents — Nemotron 3 Ultra optimizes long-running AI agents with a specialized Mixture-of-Experts model for faster, more cost-effective reasoning.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Two Minute Papers.