Globally distributed AI and a Constellation update


During Cloudflare's 2023 Developer Week, we announced Constellation, a set of APIs that allow everyone to run fast, low-latency inference tasks using pre-trained machine learning/AI models, directly on Cloudflare’s network.
Constellation update
We now have a few thousand accounts onboarded in the Constellation private beta and have been listening to our customer's feedback to evolve and improve the platform. Today, one month after the announcement, we are upgrading Constellation with three new features:
Bigger models
We are increasing the size limit of your models from 10 MB to 50 MB. While still somewhat conservative during the private beta, this new limit opens doors to more pre-trained and optimized models you can use with Constellation.
Tensor caching
When you run a Constellation inference task, you pass multiple tensor objects as inputs, sometimes creating big data payloads. These inputs travel through the wire protocol back and forth when you repeat the same task, even when the input changes from multiple runs are minimal, creating unnecessary network and data parsing overhead.
The client API now supports caching input tensors resulting in even better network latency and faster inference times.
XGBoost runtime
Constellation started with the ONNX runtime, but our vision is to Continue reading