Sign up for experimental access to Google Tensor ML SDK

Google Tensor ML SDK empowers you to build on-device machine learning capabilities specifically for Google Pixel phones, while leveraging Google Pixel's custom-designed Tensor System-on-Chip (SoC) with its dedicated Tensor Processing Unit (TPU) inference accelerator.

Experimental access is for developers to try using Google Tensor ML SDK before general availability.

Sign up for experimental access

Key features

• Access a curated collection of open-source, SDK-compatible models using Model Garden.
• Visualize model architecture for better understanding of on-device performance.
• Ensure TPU compatibility by checking operation support within your models.
• Analyze the estimated latency of individual operations on the TPU.
• Profile inference performance by comparing CPU and TPU execution on a Pixel device.