Show HN: Apple's Sharp Running in the Browser via ONNX Runtime Web
This project demonstrates Apple's SHARP machine learning model running directly in web browsers via ONNX Runtime, enabling users to generate 3D Gaussian splats from images without server-side processing. For IT leaders, this represents a significant shift toward edge-based AI inference and client-side computation, reducing infrastructure costs and data privacy concerns while introducing new challenges around browser resource management and model distribution. Organizations should evaluate how browser-native ML capabilities impact their current AI/ML architecture, data governance policies, and infrastructure investment strategies.
Hacker News3 min read
This project demonstrates Apple's SHARP machine learning model running directly in web browsers via ONNX Runtime, enabling users to generate 3D Gaussian splats from images without server-side processing. For IT leaders, this represents a significant shift toward edge-based AI inference and client-side computation, reducing infrastructure costs and data privacy concerns while introducing new challenges around browser resource management and model distribution. Organizations should evaluate how browser-native ML capabilities impact their current AI/ML architecture, data governance policies, and infrastructure investment strategies.