Explore high-performance neural architecture visualizations using WebGPU-powered real-time rendering.
🔍 Try the DemoThis demo showcases how WebGPU can render complex neural network structures in real-time with photorealistic detail. Unlike static diagrams, this interactive visualization allows you to:
This WebGPU visualization supports millions of rendered elements with hardware-accelerated graphics. Use your mouse or finger to explore the neural structure below.
Controls:
This implementation leverages WebGPU's parallel processing capabilities to render massive complex neural structures with thousands of concurrent operations.
Direct GPU access enables real-time rendering of complex neural architectures with millions of interconnected nodes.
// Sample WebGPU Compute Pipeline const pipeline = device.createComputePipeline({ layout: 'auto', compute: { module: device.createShaderModule({ code: shaderCode, }), entryPoint: 'main', }, });
3D rendering pipelines are optimized for 60+ FPS even with high-resolution path tracing and volumetric effects.
// GPU Compute Worklet self.onmessage = function(e) { const { neuronsData } = e.data; const connections = processConnections(neuronData); postResult(connections); }
Visualize deep learning models up to 65,536 neurons in fully interactive 3D with GPU-optimized rendering.
Animated gradient propagation visualizations reveal how weights adjust during training.
Modify activation functions, learning rates, and layer configurations in real-time.
WebGPU offers unprecedented control for rendering complex neural structures. This demo is just the beginning - imagine what we could build together.