How to scale Gen AI to billions of rows in BigQuery at a fraction of the cost

Name: How to scale Gen AI to billions of rows in BigQuery at a fraction of the cost
Uploaded: 2026-05-04T17:53:30.000Z
Channel: Google Cloud Tech
Description: BigQuery optimized mode enables running generative AI on billions of rows using model distillation and embeddings to reduce costs and latency. The video demonstrates AI.IF and AI.CLASSIFY functions for text and image analysis directly in SQL, designed for data engineers and analysts who need LLM-quality results on massive datasets without specialized ML expertise.

Bigquery Generative ai Gemini Llm Model distillation Embeddings Google cloud platform Sql Ai functions Cost optimization

Google Cloud Tech May 4, 2026

AI summary

BigQuery optimized mode enables running generative AI on billions of rows using model distillation and embeddings to reduce costs and latency. The video demonstrates AI.IF and AI.CLASSIFY functions for text and image analysis directly in SQL, designed for data engineers and analysts who need LLM-quality results on massive datasets without specialized ML expertise.