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

This article demonstrates cost-efficient custom text-to-SQL generation using Amazon Nova Micro with Amazon Bedrock on-demand inference and LoRA fine-tuning.

• Fine-tune Amazon Nova Micro for custom SQL dialects without persistent infrastructure costs
• Two approaches: Amazon Bedrock managed customization or Amazon SageMaker AI for granular control
• LoRA fine-tuning enables serverless deployment with pay-per-token pricing
• Bedrock fine-tuning costs $8 for 2,000 examples; SageMaker costs $65 for 20,000 examples
• Production workload of 22,000 queries/month costs only $0.80 monthly for inference
• Latency overhead minimal: 380ms TTFT during normal operation, suitable for interactive applications
• Both approaches deploy to Bedrock for automatic scaling without infrastructure management

This solution provides a practical, cost-effective alternative to self-hosted models for enterprise text-to-SQL applications with custom database schemas.