# Pinterest's Manas Search Platform Uses Quantization and SSD-Based Serving

DevFeed: [Pinterest's Manas Search Platform Uses Quantization and SSD-Based Serving](<https://devfeed.tech/articles/from-memory-hungry-hnsw-to-quantized-spann-the-technical-evolution-of-pinterest-s-manas-platform-30911.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/pinterest-search/>)

Author: Olimpiu Pop

Published: 2026-09-16T06:06:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [quantization](<https://devfeed.tech/topics/quantization.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [webgpu](<https://devfeed.tech/topics/webgpu.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [development](<https://devfeed.tech/tags/development.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [news](<https://devfeed.tech/tags/news.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [pinterest-search](<https://devfeed.tech/tags/pinterest-search.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [search](<https://devfeed.tech/tags/search.md>), [ssd](<https://devfeed.tech/tags/ssd.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

Pinterest Engineering enhanced its Manas distributed search platform with scalar and product quantization, SSD-based serving, and late-interaction retrieval. The reported evaluations describe trade-offs among index size, recall, throughput, latency, and serving cost.

## Source excerpt

Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and it is transitioning to multi-vector models for refined relevance matching. By Olimpiu Pop