---
format: "aidr-story-markdown/v1"
id: "732285c665a6011fbc3b14c945ae1aca055bb5ed7787ee1470c3019d59e3341a"
canonical_url: "https://aidr.today/732285c6?lang=en"
title: "Native Model Authoring for Edge with LiteRT Tensor API"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-19T19:12:47.000Z"
category: "Frameworks"
topics: ["google","inference","framework"]
source_urls: ["https://developers.googleblog.com/native-model-authoring-for-edge-with-litert-tensor-api/"]
summary: "The LiteRT Tensor API provides developers with native C++ control over the model graph to unify end-to-end ML computations on heterogeneous edge hardware."
---

# Native Model Authoring for Edge with LiteRT Tensor API

> [Open the canonical story](<https://aidr.today/732285c6?lang=en>)

**Published:** 2026-10-19T19:12:47.000Z
**Category:** Frameworks
**Topics:** google, inference, framework

## Summary

The LiteRT Tensor API provides developers with native C\+\+ control over the model graph to unify end\-to\-end ML computations on heterogeneous edge hardware\.

## Sources

- [Story source](<https://developers.googleblog.com/native-model-authoring-for-edge-with-litert-tensor-api/>)