This article is being considered for deletion in accordance with Wikipedia's deletion policy.
This article provides insufficient context for those unfamiliar with the subject.January 2019) (Learn how and when to remove this template message)(
|Initial release||20 October 2017|
|Operating system||Linux, |
Microsoft Windows 
|License||Apache License 2.0 |
PlaidML is a portable tensor compiler. Tensor compilers bridge the gap between the universal mathematical descriptions of deep learning operations, such as convolution, and the platform and chip specific code needed to perform those operations with good performance. Internally, PlaidML makes use of the Tile programming language  to generate OpenCL, OpenGL, LLVM, or CUDA code. It enables deep learning on devices where the available computing hardware is either not well supported or the available software stack contains only proprietary components. For example, it does not require the usage of CUDA or cuDNN on Nvidia hardware, while achieving comparable performance.
In August 2018 Intel acquired Vertex.AI, a startup whose mission statement was “deep learning for every platform”. Intel released PlaidML as free software under to the terms of the Apache Licence (version 2.0) to improve compatibility with nGraph, TensorFlow, and other ecosystem software.