Web AI Model Testing: WebGPU, WebGL, and Headless Chrome

In this blog post, the author discusses the challenges of consistently automating browser testing with selected hardware for a Web AI application. They highlight the importance of maintaining consistency when comparing machine learning model performance over time. The author shares their experience of setting up a consistent testing environment with GPUs using tools like Google Colab, Chrome, and Puppeteer. They provide step-by-step instructions for verifying hardware acceleration, enabling WebGPU and WebGL support, and installing the correct GPU drivers. By utilizing the new Headless Chrome and Puppeteer, developers can test browser-based AI models in a standardized and replicable environment.

https://developer.chrome.com/blog/supercharge-web-ai-testing

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