Superhuman and Databricks engineers collaborated to build a high-throughput inference platform capable of handling over 200,000 queries per second. This joint effort modernized Superhuman's serving stack, migrating from a custom vLLM setup to Databricks' Model Serving Platform. The optimized system achieved a 60% increase in throughput per GPU and maintained sub-second P99 latency, allowing Superhuman to focus on product development. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT Demonstrates advanced infrastructure scaling and optimization techniques for LLM serving, potentially lowering costs and improving latency for other organizations.
RANK_REASON This describes a significant infrastructure optimization and partnership between two companies to achieve a high-performance AI serving platform.