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AI Wednesday 08 : LiteRT

By Sebin Thomas · May 13, 2026

Overview

This week's AI Wednesday explored Google's LiteRT — the runtime formerly known as TensorFlow Lite — and how libraries like it optimize models for edge deployment. We discussed what happens between a trained model and on-device inference, and why dedicated edge runtimes matter for performance on phones, microcontrollers, and embedded hardware.

Topics

  • What LiteRT is and how it fits into Google's edge AI stack
  • Model conversion, delegation, and hardware acceleration on edge devices
  • How runtimes optimize graphs for latency, memory, and power
  • Comparing edge runtimes to cloud inference pipelines
  • Practical considerations for deploying models on constrained hardware

Resources

Photos

Session photo

Highlights

  • Edge AI is not just about smaller models — the runtime and how it maps operations to hardware can matter as much as quantization.

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