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AWS offers cost-effective custom text-to-SQL with Nova Micro and Bedrock

AWS has introduced a cost-effective method for creating custom Text-to-SQL models using Amazon Nova Micro and Amazon Bedrock's on-demand inference. This approach leverages LoRA fine-tuning with serverless, pay-per-token inference, eliminating the continuous costs associated with hosting dedicated models. The solution allows organizations to achieve production-grade accuracy for specialized SQL dialects without the overhead of persistent infrastructure, demonstrated by a sample workload costing only $0.80 monthly for 22,000 queries. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

RANK_REASON This is a product announcement detailing a new capability for an existing service (Amazon Bedrock) and a specific model (Nova Micro) for a particular use case (Text-to-SQL).

Read on AWS Machine Learning Blog →

AWS offers cost-effective custom text-to-SQL with Nova Micro and Bedrock

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 · Zeek Granston ·

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

    In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.