> For the complete documentation index, see [llms.txt](https://cloud.secondstate.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cloud.secondstate.io/server-side-webassembly/enterprise-webassembly/the-inference-hardware-interface.md).

# The inference interface

## This page is outdated. Please[ visit here for the most up-to-date content](https://www.secondstate.io/tags/rust-function-in-nodejs/).

One of the key benefits of Rust is that it is close to the hardware and can fully take advantage of new hardware features. That is most interesting in the area of Artificial Intelligence (AI), where almost all major cloud players now have their own customized silicon chips for AI inference.

![](/files/-M7kjihQaHCgq57dtWm1)

The SSVM inference interface enables Rust applications to directly drive natively compiled ONNX and Tensorflow models on those new hardware. We do that through Rust and WebAssembly code instead of C++ native code for better safety, portability, and manageability.


---

# 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, and the optional `goal` query parameter:

```
GET https://cloud.secondstate.io/server-side-webassembly/enterprise-webassembly/the-inference-hardware-interface.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.