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# Google’s LiteRT adds advanced hardware acceleration

**[InfoWorld](https://daily.dev/sources/infoworld)** · 2 min read · 0 upvotes · 0 comments

## Summary

LiteRT, Google's on-device AI inference framework evolved from TensorFlow Lite, has introduced advanced hardware acceleration through its ML Drift GPU engine. The framework now delivers 1.4x faster GPU performance, provides unified GPU and NPU acceleration across Android, iOS, macOS, Windows, Linux, and web platforms, and supports OpenCL, OpenGL, Metal, and WebGPU. LiteRT offers improved cross-platform deployment for generative AI models and first-class PyTorch/JAX support through seamless model conversion, while abstracting away vendor-specific SDKs for simplified NPU deployment.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4123828/googles-litert-adds-advanced-hardware-acceleration.html>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#gpu](https://daily.dev/tags/gpu), [#tensorflow](https://daily.dev/tags/tensorflow), [#edge-computing](https://daily.dev/tags/edge-computing)

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