Quail Team Shows Batch LLM Inference Beats Row-by-Row API Calls

UC researcher Shreya Shankar shows that row-by-row LLM API calls are inefficient, and her open-source AI-SQL engine Quail filters 5,000 comments in about 6.6 seconds using Qwen3-4B batch inference on a single H100, a view endorsed by Hamel Husain.

2026-10-02 ~ 2026-10-02 · 2 related posts

• How to cost AI-powered filters: roofline model puts 5k-review LLM filter floor at 6.6s on H100 — sh_reya · 2026-10-02
• Batch AI filtering done right: Qwen3-4B on one H100 filters 5k movie reviews in ~6.6 seconds — HamelHusain · 2026-10-02