Edge Computing with WebAssembly: Running AI Models at the Edge in 2026
Dev.to AI
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Machine Learning
Generative AI
AI Hardware
Edge Computing with WebAssembly: Running AI Models at the Edge in 2026 The cloud-first era is giving way to something nuanced. With 75+ billion connected devices generating data at the edge, shipping every inference request to a centralized server is increasingly impractical. Latency, bandwidth costs, and privacy requirements are pushing ML workloads closer to where data originates. WebAssembly (Wasm) has emerged as the runtime that makes edge AI actually work - portable, sandboxed, and fast enough for real-time inference. Here's how to build it.