Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google’s primary high-performance framework for deploying GenAI and advanced on-device inference.
What’s new in TensorFlow 2.21
Related Posts
Spin Joins CNCF Sandbox: Strengthening Adoption and Benefits for Organizations and Developers
By: Radu Matei & Michelle Dhanani Today, we are excited to announce that Spin has officially been accepted…
picoCTF RPS writeup
We are given a Rock-Paper-Scissors game. I used wget to download the source file onto the webshell. I…
Authentication system using Golang and Sveltekit – Dockerization and deployments
Introduction Having built out all the features of our application, preparing it for deployment is the next step…
