---
title: "Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6"
slug: "kleine-llms-auf-sagemaker-ai-im-benchmark-g7-gegen-g5-und-g6"
date: 2026-09-08
category: tech-pub
tags: [amazon, nvidia]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/kleine-llms-auf-sagemaker-ai-im-benchmark-g7-gegen-g5-und-g6
---

# Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

**Published**: 2026-09-08 | **Category**: tech-pub | **Sources**: 1

---

## TL;DR

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.

---

## Summary

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI. Compare throughput, latency, and cost-per-token, and see how G7's NVIDIA Blackwell GPUs deliver measurable price-performance gains for real-time LLM inference.

---

## Why it matters

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.

---

## Key Points

- Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.
- Compare throughput, latency, and cost-per-token, and see how G7's NVIDIA Blackwell GPUs deliver measurable price-performance gains for real-time LLM inference.

---

## Nauti's Take

Throughput, latency and cost per token across four instance types give teams a solid basis for their own calculations, and that is the real opportunity in this run. The limit is transferability, because two 30B models measured inside an AWS setup say little about your prompts and your traffic. Teams with a running inference bill should rebuild the benchmark, everyone else can take the direction.

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## FAQ

**Q:** What is Benchmarking small LLM inference on SageMaker AI about?

**A:** Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.

**Q:** Why does it matter?

**A:** Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.

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

**A:** Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI.. Compare throughput, latency, and cost-per-token, and see how G7's NVIDIA Blackwell GPUs deliver measurable price-performance gains for real-time LLM inference.

---

## Related Topics

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

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## Sources

- [Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6](https://aws.amazon.com/blogs/machine-learning/benchmarking-small-llm-inference-on-sagemaker-ai-g7-vs-g5-and-g6/) - 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: 2026-09-08*