---
title: "SAM 2"
description: "1 posts about SAM 2, summarised, each linking to the original."
---

# SAM 2
> 1 posts about SAM 2, summarised, each linking to the original.

## Articles

### [Native Model Authoring for Edge with LiteRT Tensor API](https://yomu.fyi/post/native-model-authoring-for-edge-with-litert-tensor-api.md)
- Company: [Google](https://yomu.fyi/company/google.md)
- Author: Ping Yu, Quentin Khan, Chintan Parikh, Lu Wang
- Published: Oct 19, 2026
- Type: Announcement

The LiteRT Tensor API is a new lightweight authoring layer that allows developers to handcraft models in C++ with full control over graph structure and operations. The same graph runs through LiteRT on CPU, GPU, or NPU, or directly on CPU via XNNPACK, without rewriting for each hardware target. The API enables direct weight ingestion from model checkpoints like Hugging Face .safetensors files and provides tensor-centric buffer interop to keep intermediate data on accelerators with zero copies. A reference implementation of Meta’s Segment Anything Model 2 (SAM 2) authored entirely with the API achieved over 30 frames per second at 512x512 on WebGPU in the browser. The API also provides structured primitives for AI coding agents to generate, rewire, and tune model graphs automatically.