Whisper audio transcription powered by AWS Batch and AWS Inferentia

This article discusses a cost-efficient solution for batch audio transcription using the Whisper model from OpenAI on AWS. It leverages AWS Batch and AWS Inferentia to process audio files asynchronously, triggered by the arrival of audio files in Amazon S3.

Specifically, the article covers:

• Overview of AWS Batch and AWS Inferentia
• Architecture of the event-driven audio transcription pipeline
• Prerequisites and steps to build the Docker image, export Whisper model artifacts, and deploy the solution using AWS CloudFormation
• Details on the inference script to process audio files using Whisper on Inferentia
• Testing and validation of the solution using NASA audio files
• Monitoring and metrics for the AWS Batch compute environment and Inferentia utilization
• Conclusion highlighting the cost-optimization benefits of this batch processing solution