---
title: "NVIDIA and AWS Collaborate to Bring AI to Production at Scale"
slug: "nvidia-und-aws-bringen-enterprise-ki-naeher-an-die-produktionsrealitaet"
date: 2026-06-24
category: releases
tags: [amazon, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/nvidia-und-aws-bringen-enterprise-ki-naeher-an-die-produktionsrealitaet
---

# NVIDIA and AWS Collaborate to Bring AI to Production at Scale

**Published**: 2026-06-24 | **Category**: releases | **Sources**: 1

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## TL;DR

- NVIDIA and AWS are packaging several production AI infrastructure pieces: Amazon EC2 G7 with NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, OpenSearch Serverless with NVIDIA cuVS, and validated GB300 training performance.

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## Summary

- NVIDIA and AWS are packaging several production AI infrastructure pieces: Amazon EC2 G7 with NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, OpenSearch Serverless with NVIDIA cuVS, and validated GB300 training performance.
- EC2 G7 is positioned as a step up from G6, with up to 4.6x AI inference performance, up to 2.1x graphics performance, and faster GPU analytics via cuDF on Amazon EMR.
- OpenSearch Serverless now uses GPU-accelerated vector indexing with NVIDIA cuVS by default for vector collections. NVIDIA claims up to 10x faster indexing at one quarter of CPU-only costs.
- AWS has reached NVIDIA Exemplar Cloud status for GB300 training workloads, giving enterprise teams a stronger signal that large-scale training on AWS is tuned and benchmarked for serious production use.

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## Why it matters

EC2 G7 is positioned as a step up from G6, with up to 4.6x AI inference performance, up to 2.1x graphics performance, and faster GPU analytics via cuDF on Amazon EMR.

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## Key Points

- EC2 G7 is positioned as a step up from G6, with up to 4.6x AI inference performance, up to 2.1x graphics performance, and faster GPU analytics via cuDF on Amazon EMR.
- OpenSearch Serverless now uses GPU-accelerated vector indexing with NVIDIA cuVS by default for vector collections. NVIDIA claims up to 10x faster indexing at one quarter of CPU-only costs.
- AWS has reached NVIDIA Exemplar Cloud status for GB300 training workloads, giving enterprise teams a stronger signal that large-scale training on AWS is tuned and benchmarked for serious production use.

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## Nauti's Take

This is classic infrastructure news: not flashy, but potentially high leverage if the claims hold up. The most useful part is cuVS becoming a default path inside OpenSearch Serverless, because vector search has often been the expensive, slow, operationally messy layer in production AI systems. The announcement is still PR-heavy, with plenty of benchmark language and little independent evidence. Enterprise teams should test it against their own retrieval and inference patterns before treating it as an architecture default.

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## FAQ

**Q:** What is NVIDIA and AWS Collaborate to Bring AI to Production at Scale about?

**A:** - NVIDIA and AWS are packaging several production AI infrastructure pieces: Amazon EC2 G7 with NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, OpenSearch Serverless with NVIDIA cuVS, and validated GB300 training performance.

**Q:** Why does it matter?

**A:** EC2 G7 is positioned as a step up from G6, with up to 4.6x AI inference performance, up to 2.1x graphics performance, and faster GPU analytics via cuDF on Amazon EMR.

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

**A:** EC2 G7 is positioned as a step up from G6, with up to 4.6x AI inference performance, up to 2.1x graphics performance, and faster GPU analytics via cuDF on Amazon EMR.. OpenSearch Serverless now uses GPU-accelerated vector indexing with NVIDIA cuVS by default for vector collections. NVIDIA claims up to 10x faster indexing at one quarter of CPU-only costs.. AWS has reached NVIDIA Exemplar Cloud status for GB300 training workloads, giving enterprise teams a stronger signal that large-scale training on AWS is tuned and benchmarked for serious production use.

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## Related Topics

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

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## Sources

- [NVIDIA and AWS Collaborate to Bring AI to Production at Scale](https://blogs.nvidia.com/blog/nvidia-aws-ai-production-scale/) - 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: 2026-06-28*