Release 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.
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 | Nightly | |||
| 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 |
🛠 Resources & support
- Tensor SDK Home Page: Google Tensor: On-device AI with LiteRT
- Hugging Face: LiteRT Hugging Face community
- Technical Support: GitHub community