SDK v2.1
This release introduces support for a new chipset and models to enhance on-device performance and capabilities.
Released: Oct 14, 2026
What's new
Embedding Gemma v2 is now available as a pre-compiled model on both Pixel 10 and Pixel 11.
See Pre-compiled SLMs for more details.You can now export your fine-tuned checkpoints for Gemma 3 1B, FunctionGemma and Embedding Gemma models directly into
.litertlmbundles. This lets you run custom-trained models on Tensor G6 TPUs without relying solely on pre-compiled builds.
See Compile SLMs from fine-tuned checkpoints to learn more.
Improvements
- We've added new models to the Model Garden ranging across multiple types and use cases (like depth estimation, face reconstruction, image & text understanding, and image classification).
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 | |||
| v2.1 | Tensor G6 | ai-edge-litert
Released: October 2026 |
ai-edge-litert-nightly
Released: October 2026 |
26D1 |
| Tensor G5 | ai-edge-litert
Released: October 2026 |
ai-edge-litert-nightly
Released: October 2026 |
26Q3 | |
| v2.0 | Tensor G6 | ai-edge-litert
Released: July 2026 |
ai-edge-litert-nightly
Released: August 2026 |
26D1 |
| Tensor G5 | ai-edge-litert
Released: July 2026 |
ai-edge-litert-nightly
Released: August 2026 |
26D1 | |
| v1.02 | Tensor G5 | ai-edge-litert
Released: July 2026 |
ai-edge-litert-nightly
Released: June 2026 |
26Q2 |
| v1.01 | Tensor G5 | ai-edge-litert
Released: May 2026 |
ai-edge-litert-nightly
Released: May 2026 |
26Q1 |
SDK v2.0
This release introduces support for a new chipset and models to enhance on-device performance and capabilities.
Released: Sep 2, 2026
Improvements
- 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. The Tensor FAQs are now updated to include more scenarios about AOT compilation and memory constraints.
Bug fixes
- Resolved an internal compiler error that occurred when compiling models like
wav2vec2_base_960h_179200for Google Tensor SoCs using the LiteRT compiler plugin.
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
- Tensor SDK Home Page: Google Tensor: On-device AI with LiteRT
- Hugging Face: LiteRT Hugging Face community
- Technical Support: GitHub community
- LiteRT GitHub: LiteRT GitHub repository
- LiteRT Documentation: LiteRT documentation