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Superhuman and Databricks build 200K QPS AI inference platform

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

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.

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Superhuman and Databricks build 200K QPS AI inference platform

COVERAGE [1]

  1. Databricks Blog TIER_1 English(EN) ·

    How Superhuman and Databricks built a 200K QPS inference platform together

    From analytics partners to real-time inference partnersSuperhuman, the productivity...