Instrument

LiteRT

Level: 7/10 | Type: On-Device Lightweight Inference Runtime (formerly TFLite) | Target: Edge Devices, Mobile, Embedded & CPU/NPU Acceleration

7/10 level — Google LiteRT (formerly TensorFlow Lite) on-device runtime, post-training quantization, flatbuffer model deployment, and edge execution.

Level: 7/10

LiteRTTensorFlow LiteOn-Device InferenceEdge AIQuantization

Hands-on experience with LiteRT (7/10), Google's next-generation lightweight on-device AI runtime (formerly TensorFlow Lite). Deploying low-latency quantized vision models onto edge hardware, configuring delegates (NNAPI, GPU, XNNPACK), and optimizing memory footprint for constrained environments.

Where this has actually been used

Products

VERSEYE

Projects

NAVIROX — Autonomous Unmanned Vessel CV & 360° LiDAR Fusion POC

Loading content…