
How-ToMachine Learning
QCon London 2026: Running AI at the Edge - Running Real Workloads Directly in the Browser
via InfoQDaniel 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
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