Recently, Google announced TFRT, a new runtime that will replace the existing TensorFlow runtime. TFRT aims to offer a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware.

According to Google TFRT renders efficient use of multithreaded host CPUs, supports fully asynchronous programming models, and focuses on low-level efficiency. It provides efficient execution of kernels – low-level device-specific primitives – on targeted hardware.

Google said that TFRT plays a critical role in both eager and graph execution.

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