Turbo Puffer's largest web-scale search workloads, covering tens of terabytes, cost tens of millions of dollars.

The scale of data companies want to search for AI applications has increased from gigabytes and terabytes to tens or hundreds of petabytes.

Turbo Puffer's architecture is based on object storage like S3 and Google Cloud Storage, with a proprietary caching layer to improve performance.