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
Apple Vision PRO Mixed Reality Solutions for Enterprise and eCommerce
Today, if you’re an enterprise owner seeking to stay ahead of the competition or an individual running an…
Cloud AI APIs vs. Self-Hosted LLMs: When an Old Phone Beats GPT-4
A Reddit post recently caught my eye — someone turned a Xiaomi 12 Pro into a 24/7 headless…
How to Create your own ChatGPT (ish) in 5 minutes
Most developers are probably aware of that OpenAI provides an API at this point. By intelligently using this…
