Lightning‑Fast Serverless AI Inference on the Edge with WASM

Lightning‑Fast Serverless AI Inference on the Edge with WASM When a user types a question into a chat widget, the answer should appear in under two hundred milliseconds – otherwise it feels like talking to a stone. Traditional cloud‑based inference pipelines can hit 400–600 ms even after optimizing for batch size and GPU placement. The solution? Run the model directly on the edge as a WebAssembly (WASM) module inside a serverless runtime, eliminating network hops and cold starts altogether. WASM: The New Edge Runtime for LLMs WebAssembly was born to bring near‑native speed to browsers, but by 2026 it has become a first‑class citizen in server‑side and edge environments. Edge-Native 2026 explains how smart CDNs now ship WASM binaries directly to the user’s device or a local edge node, keeping execution latency low and predictable. The same binary can run in Cloudflare Workers, Fastly Compute@Edge, or even an IoT gateway that supports WebAssembly System Interface (WASI). The key advantag