webgpu

Running machine learning inference directly in the browser through the GPU, without servers or API calls. This tag covers using WebGPU alongside libraries like WebLLM to load and run real language models on the client, where prompts stay on the user's device and compute costs nothing to the host. Expect practical notes on performance, model loading, memory limits, and the tradeoffs of pushing AI work to the edge of the browser.