Perplexity 发布了用于搜索嵌入和排序的三层堆栈

Ivy 准备请求,Tulip 对它们进行批处理,ROSE 运行模型;Perplexity 表示,这套定制堆栈使在线和批量嵌入更快且更便宜,但未披露生产基准。

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Primary source: Perplexity

为何重要

Perplexity 正在将模型服务内部化,以处理嵌入、排序、分类、评分以及大型语言模型的工作负载。此类掌控可能会降低其面向消费者的产品和开发者 API 在延迟和成本方面的开销,尽管该公司尚未发布支持这些说法的生产基准测试。

A conceptual illustration of a three-layered data processing stack, featuring a glowing core, translucent segments, and interconnected tendrils of light.

Perplexity, the AI search company co-founded by CEO Aravind Srinivas, published the architecture behind the embedding and ranking workloads that feed its search product. The three-layer internal stack is designed to prevent request preparation, batch scheduling and GPU execution from holding one another up.

Perplexity's architecture thread…

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