---
title: "Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS"
slug: "nvidia-zeigt-nemotron-35-super-vl-fuer-agentische-ai-auf-aws"
date: 2026-10-29
category: tech-pub
tags: [agents, reasoning, amazon, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/nvidia-zeigt-nemotron-35-super-vl-fuer-agentische-ai-auf-aws
---

# Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS

**Published**: 2026-10-29 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.

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## Summary

NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod EKS with NVIDIA Dynamo and vLLM.

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## Why it matters

NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.

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## Key Points

- NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.
- This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod EKS with NVIDIA Dynamo and vLLM.

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## Nauti's Take

For a small team, the first useful test is an infrastructure test with a real tool workflow. Measure GPU time, latency, and operational effort per task, then check which components you would have to run and maintain yourself. The AWS post shows a deployment path, but it does not yet prove everyday cost or reliability.

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## FAQ

**Q:** What is Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS about?

**A:** NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.

**Q:** Why does it matter?

**A:** NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.

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

**A:** NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding.. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod EKS with NVIDIA Dynamo and vLLM.

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## Related Topics

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

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## Sources

- [Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS](https://aws.amazon.com/blogs/machine-learning/accelerate-agentic-ai-with-nvidia-nemotron-models-on-amazon-eks-and-sagemaker-hyperpod-eks/) - AWS Machine Learning Blog

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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: 2026-10-29*