Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent
This article provides a step by step survey of LLM inference on AWS: Amazon Bedrock, a SageMaker real-time endpoint, vLLM on two EC2 GPU families, and a hand-ported Gemma 4 on AWS Inferentia2 and Trainium. A Strands agent drives all six backends, and every number below comes from two complete runs…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 2 reports
- 2026-10-06 15:09 · DEV Community — Machine Learning
Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent - 2026-10-06 15:05 · DEV Community — Machine Learning
Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent
More stories
- Introducing GLM 5.3 on Amazon Bedrock — AWS Machine Learning Blog
- Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio — AWS Machine Learning Blog
- Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Responsible AI governance: How AWS positions customers to align with ISO/IEC 42005:2025 — AWS Machine Learning Blog
- Supercharge regulated workloads with Claude Code and Amazon Bedrock — AWS Machine Learning Blog
- New agent skill: Amazon SageMaker optimized generative AI inference for your coding agent — AWS Machine Learning Blog
- Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion — AWS Machine Learning Blog
- Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases — AWS Machine Learning Blog
Get the daily brief of stories like this at 6:30 every morning →