# Accelerate Agentic AI with NVIDIA Nemotron Models on Amazon EKS and SageMaker HyperPod EKS

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-29T16:11:08.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/accelerate-agentic-ai-with-nvidia-nemotron-models-on-amazon-eks-and-sagemaker-hyperpod-eks)  
> **Canonical Citation:** [https://spidits.com/timeline/accelerate-agentic-ai-with-nvidia-nemotron-models-on-amazon-eks-and](https://spidits.com/timeline/accelerate-agentic-ai-with-nvidia-nemotron-models-on-amazon-eks-and)

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

## Why It Matters (Strategic Analysis)
Interleaving Mamba-2 state space layers with Transformer expert layers decouples context length scaling from memory growth during multimodal inference. Deploying open-weights 120B models with a 12B active parameter footprint onto managed Kubernetes infrastructure allows enterprises to run long-context agentic vision and text workloads without relying on proprietary external APIs.

## Key Entities & Companies
- **NVIDIA**

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/accelerate-agentic-ai-with-nvidia-nemotron-models-on-amazon-eks-and-sagemaker-hyperpod-eks)**: Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS — _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..._

---
*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*