> For the complete documentation index, see [llms.txt](https://docs.hyper-space.io/hyperspace-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hyper-space.io/hyperspace-docs/reference/search-processing-unit-spu.md).
# Search Processing Unit (SPU)
The Search Processing Unit (SPU) serves as the core of Hyperspace. This data path processor is designed from scratch to support basic search primitives such as hashing, inverted indexing, range indexing, Boolean group processing, sorting, and more. Coupled with high-bandwidth memories and smart data structures, these primitives enable search latencies that are 100 times faster than those of standard software implementations.
The Hyperspace SPU architecture is mapped to an FPGA fabric in the cloud. Hyperspace offers an Elasticsearch-compatible API that improves scalability, reduces infrastructure costs, and provides high-performance search capabilities.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.hyper-space.io/hyperspace-docs/reference/search-processing-unit-spu.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.