{"type":"analysis","id":"analysis:quail-proves-ai-sql-workloads-need-a-new-kind-of-inference-engine","slug":"quail-proves-ai-sql-workloads-need-a-new-kind-of-inference-engine","title":"Quail proves AI-SQL workloads need a new kind of inference engine","description":"Modal’s Quail engine achieves over a billion tokens per minute on an H100 GPU by treating LLM calls as a batch-aware, cache-optimized workload—demonstrating that existing inference stacks are fundamentally mismatched for enterprise AI-SQL pipelines. The 10x throughput gain vs. vLLM on multi-join queries suggests a clear winner: systems that couple query planning with inference will dominate high-volume data workloads, while generic serving layers risk becoming legacy.","published_at":"2026-09-28T14:00:00.000Z","updated_at":"2026-09-28T14:00:00.000Z","record_date":"2026-09-28","topics":["enterprise_ai"],"source_urls":["https://modal.com/blog/quail-billion-tpm","https://z.ai/blog/glm-built-its-inference-infrastructure","https://typesafe.ai/blog/introducing-system-one-models-and-jev","https://blog.mozilla.ai/benchmarking-local-llm-servers-llama-cpp-llamafile-lm-studio-and-ollama"],"language":"en","routes":{"html":"https://newruntime.com/analysis/quail-proves-ai-sql-workloads-need-a-new-kind-of-inference-engine/","markdown":"https://newruntime.com/analysis/quail-proves-ai-sql-workloads-need-a-new-kind-of-inference-engine.md","json":"https://newruntime.com/analysis/quail-proves-ai-sql-workloads-need-a-new-kind-of-inference-engine.json"},"author":{"role":"author","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"editorial_provenance":{"desk":"authorial","target_ref":"story_cluster:quail-query-aware-inference-engine-achieving-high-throughput-llm-sql-processing-d4406ab7e8bb","authorial_article_id":"02d26fe5-3ff8-40a2-972b-247ea65a3d0d"}}