Exploring WebAssembly AI Services on Cloudflare Workers

This post details an exploration of deploying AI services using WebAssembly (WASM) on Cloudflare Workers, in collaboration with Latent AI. It highlights the benefits of edge AI for scalability and privacy, and introduces Latent AI's technology for compressing AI models (e.g., MobileNetV2) using quantization to 8-bit precision, achieving significant size reduction and performance improvements (e.g., 8x faster inference compared to Tensorflow.js). The post presents experimental results on memory and inference times for different model sizes and bit precisions, demonstrating the feasibility of running optimized AI models at the edge with low latency.