# Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference

Canonical URL: https://www.traeai.com/articles/8111a2ff-ae76-4b49-8b16-9e7dc5d28a91
Original source: https://aws.amazon.com/blogs/machine-learning/cost-efficient-custom-text-to-sql-using-amazon-nova-micro-and-amazon-bedrock-on-demand-inference/
Source name: AWS Machine Learning Blog
Content type: article
Language: 英文
Score: 8.2
Reading time: 13 分钟
Published: 2026-04-16T17:43:03+00:00
Tags: Amazon Bedrock, Amazon Nova, text-to-SQL, LoRA, 生成式AI

## Summary

AWS 展示使用 Amazon Nova Micro 和 Bedrock 按需推理，通过 LoRA 微调实现低成本、高准确率的定制化 text-to-SQL 方案。

## Key Takeaways

- LoRA 微调结合按需推理可显著降低定制 text-to-SQL 的持续托管成本
- 方案支持 Bedrock 托管微调和 SageMaker 自定义训练两种路径
- 实测每月 2.2 万查询仅花费约 0.8 美元，适合低频交互场景

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