Databricks and Superhuman create platform for high QPS inference
Databricks and Superhuman have collaborated to develop an inference platform capable of handling 200,000 queries per second (QPS), transforming Superhuman's data management from analytics to real-time inference.

What happened?
Databricks and Superhuman have jointly built an inference platform. The platform is engineered to handle 200,000 queries per second (QPS). This collaboration has repositioned Superhuman from being solely an analytics partner to becoming a partner for real-time inference.
Key facts
| Partner 1 | Databricks |
|---|---|
| Partner 2 | Superhuman |
| Kapacitet | 200 000 QPS |
Why it matters
The development of this high-capacity platform is significant as it enables faster and more responsive AI applications. The ability to handle 200,000 QPS indicates a robust and scalable infrastructure. It also underscores the trend of moving AI workflows closer to real-time processing.
Who is affected?
Primarily, Superhuman and Databricks are directly affected by this development through increased capacity and new business opportunities. Developers and companies requiring real-time inference for their applications can also benefit from similar solutions. Users of Superhuman's services may notice improved performance and responsiveness.
What else you should know
This collaboration provides an example of how cloud services and machine learning platforms can scale to meet very high performance requirements in the AI sector.
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