This content originally appeared on InfoQ - JavaScript and was authored by Daniel Curtis

At QCon London 2026, James Hall discussed running AI workloads directly in browsers, highlighting local processing benefits such as enhanced privacy, reduced latency and cost. He examined technologies like Transformers.js and WebGPU, illustrated practical applications, and provided guidelines for browser-based AI implementation, emphasizing appropriate use cases and evaluation principles.
By Daniel Curtis
This content originally appeared on InfoQ - JavaScript and was authored by Daniel Curtis
Daniel Curtis | Sciencx (2026-03-23T16:28:00+00:00) QCon London 2026: Running AI at the Edge – Running Real Workloads Directly in the Browser. Retrieved from https://www.scien.cx/2026/03/23/qcon-london-2026-running-ai-at-the-edge-running-real-workloads-directly-in-the-browser/
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