Globally distributed AI and a Constellation update

What this post added

Introduced three new features for Constellation: increased model size limit from 10MB to 50MB, added tensor caching for input tensors to reduce network and parsing overhead, and integrated the XGBoost runtime alongside the existing ONNX runtime. This post also elaborates on the concept of globally distributed AI and its use cases, including personalized web experiences and making devices smarter.