Tensor SDK Beta release notes

Welcome to the Google Tensor SDK release notes! Here you'll find information on the latest releases, updates, and improvements for on-device AI development on Google Tensor chipsets.

SDK v2.0

This release introduces support for a new chipset and models to enhance on-device performance and capabilities.

Released: Sep 2, 2026

What's new

  • Tensor SDK now supports Tensor G6 chipset, available on Pixel 11 series.

  • We've added support for EmbeddingGemma-300m, a model that facilitates efficient on-device search and retrieval, in our Model Garden.

Bug fixes

  • Resolved an internal compiler error that occurred when compiling models like wav2vec2_base_960h_179200 for Google Tensor SoCs using the LiteRT compiler plugin.

Compatibility

See the compatibility information for the Tensor SDK, detailing supported SoCs, LiteRT versions, and Android versions across different SDK releases.

SDK Release Target SoC LiteRT version Android version
Stable (Onwards) Nightly
v2.0 Tensor G6 ai-edge-litert
2.1.6

Released: July 2026

 ai-edge-litert-nightly
2.2.0.dev20260809

Released: August 2026

 26D1
Tensor G5 ai-edge-litert
2.1.6

Released: July 2026

 ai-edge-litert-nightly
2.2.0.dev20260809

Released: August 2026

 26D1
v1.02 Tensor G5 ai-edge-litert
2.1.6

Released: July 2026

 ai-edge-litert-nightly
2.2.0.dev20260630

Released: June 2026

 26Q2
v1.01 Tensor G5 ai-edge-litert
2.1.5

Released: May 2026

 ai-edge-litert-nightly
2.2.0.dev20260530

Released: May 2026

 26Q1

SDK v1.02

This release introduces key updates and enhancements for on-device AI development, including a new on-device LiteRT-LM chatbot, enhancements to the Google Tensor Options API, updated documentation, optimizations, and bug fixes for the Tensor chipsets.

Released: Jul 2, 2026

What's new

  • We've created a new on-device LiteRT-LM chatbot app that demonstrates running multimodal LLMs (for example, Gemma 4) on Google Pixel TPUs. This application lets you leverage default multimodal queries like sending text, picking images from the Gallery, or recording audio, which you can expand upon for your specific use cases or use to optimize your own applications.
  • You can now better fine-tune TPU power and performance states for your applications using the new options in the Google Tensor Options API.

Improvements

  • The Tensor FAQs are now updated to include more scenarios about AOT compilation and memory constraints.

Bug fixes

  • Resolved TPU performance degradation on Tensor G5 devices by providing platform-optimized, ahead-of-time (AOT) compiled models, improving inference times to ensure stable execution.

🛠 Resources & support