: Providing a low-cost, low-latency solution for rapid AI deployment across various hardware. Getting Started with XDL
XDL was created to solve the limitations of mainstream frameworks when handling trillions of parameters and sparse feature sets. zxdl new
The framework is primarily utilized where data is vast and "sparse" (meaning many features exist, but only a few are active for any given data point). : Providing a low-cost, low-latency solution for rapid
: A standout feature of the new XDL is its ability to seamlessly adopt existing frameworks—like TensorFlow or MXNet—as its backend while accelerating training speed by at least 5 times. : A standout feature of the new XDL
: Personalizing feeds for millions of users in e-commerce platforms.
: XDL provides a sophisticated distributed system with deep optimizations in I/O, data pipelines, and communication protocols.
: Despite its scale, the API is designed to be developer-friendly, allowing scientists to deploy new models with minimal lines of code.