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Monitor and optimize your machine learning models with this real-time WebAssembly-powered training visualization.
Jump to DemoThis dashboard visualizes training metrics in real-time using WebGPU for maximum performance.
Live updates of training metrics with sub-100ms refresh rate for responsive visualization.
Tracks FLOPS, VRAM usage, and model efficiency in real-time with WebGPU optimization.
Export training history as CSV/JSON or save dashboard state for future reference.
pub fn update_dashboard( metrics: Vec<f32>, ) -> Result<()> { // Update WebGPU buffers ok() }
This tool brings machine learning performance analysis into the browser using WebAssembly and WebGPU.