---
title: "New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI"
slug: "new-nvidia-nemotron-3-super-delivers-5x-higher-throughput-for-agentic-ai"
date: 2026-03-11
category: releases
tags: [agents, reasoning, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/new-nvidia-nemotron-3-super-delivers-5x-higher-throughput-for-agentic-ai
---

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

**Published**: 2026-03-11 | **Category**: releases | **Sources**: 1

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## TL;DR

- NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.

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## Summary

- NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.
- NVIDIA claims 5x higher throughput compared to dense models of similar scale, specifically targeting agentic AI workloads.
- Perplexity is among the first AI-native companies to offer users direct access to the model.
- The design prioritizes reasoning accuracy alongside low inference cost, aiming to make autonomous agent pipelines more economically viable.

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## Why it matters

NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.

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## Key Points

- NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.
- NVIDIA claims 5x higher throughput compared to dense models of similar scale, specifically targeting agentic AI workloads.
- Perplexity is among the first AI-native companies to offer users direct access to the model.
- The design prioritizes reasoning accuracy alongside low inference cost, aiming to make autonomous agent pipelines more economically viable.

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## Nauti's Take

5x throughput sounds like marketing magic, but the underlying MoE logic makes the claim at least plausible – as long as NVIDIA keeps the benchmarks transparent rather than cherry-picking scenarios. More interesting than the raw number is the strategic signal: NVIDIA wants to become the default stack for agentic AI, from GPU to model layer. The open release simultaneously feeds the ecosystem that needs NVIDIA hardware to shine. Smart move – but also genuine value for developers who finally get a strong, open reasoning model built for agent workloads.

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## FAQ

**Q:** What is New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI about?

**A:** - NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.

**Q:** Why does it matter?

**A:** NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.

**Q:** What are the key takeaways?

**A:** NVIDIA launched Nemotron 3 Super, an open model with 120 billion total parameters but only 12 billion active ones, using a mixture-of-experts architecture.. NVIDIA claims 5x higher throughput compared to dense models of similar scale, specifically targeting agentic AI workloads.. Perplexity is among the first AI-native companies to offer users direct access to the model.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)
- [reasoning](https://news.ainauten.com/en/tag/reasoning)
- [nvidia](https://news.ainauten.com/en/tag/nvidia)

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## Sources

- [New NVIDIA Nemotron 3 Super Delivers 5x Higher Throughput for Agentic AI](https://blogs.nvidia.com/blog/nemotron-3-super-agentic-ai/) - NVIDIA

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-03-20*