Vertex.AI

is now part of Intel’s Artificial Intelligence Products Group

[Vertex.AI @vertexai]

Announcing PlaidML: open source deep learning for every platform, #OpenCL #Keras #DeepLearning #AMD #Intel #NVIDIA https://t.co/x5HJpcWIWI

[Vertex.AI @vertexai]

https://t.co/xBlwppWtb9 is now part of Intel AI Product Group. Follow us at @intelai for future updates.

[PlaidML @plaidml]

Wonder how PlaidML stacks up to other approaches? We did too. We benchmarked TVM, Tensor Comprehensions, and PlaidML, here's what we found: https://t.co/MCZMsEku0E

[PlaidML @plaidml]

Announcing ONNX support in PlaidML, now run ONNX models on (almost) any accelerator including OpenCL GPUs!

@onnxai @openclapi @amdradeon
https://t.co/lLJuNbX46i

[Frank A. Krueger @praeclarum]

@choongng @lobrien @plaidml Wow, down to 42s per epoch! @plaidml is wonderful :-) https://t.co/6CV5AEkp7A

[PlaidML @plaidml]

New PlaidML 0.3.0 adds preview support for #LLVM. Blog post: https://t.co/9EnkKC9sy0

[PlaidML @plaidml]

Glad we can help! https://t.co/br12HwIXQk

[Jona Joachim @_jaj]

Thanks to @plaidml I can test the stuff I read in "Deep learning with Python" by @fchollet on my Intel laptop! #keras #ML non #nvidia #gpu Awesome! 🎉

[Charbax @Charbax]

Toradex Apalis iMX8QM on NXP iMX 8QM at #EW2018 @Toradex Colibri iMX8X SoM on NXP’s iMX 8X, Deep Learning demo with @vertexai, Toradex partner ecosystem featuring @QtProject @Antmicro @cranksoftware @gumstix @GreenHillsPR and more https://t.co/uB8AtHgPWl https://t.co/cjwhXHmBci

[PlaidML @plaidml]

New blog post is up: Practical Embedded Object Detection with PlaidML https://t.co/uOMrLYoEMY

[PlaidML @plaidml]

PlaidML 0.1.4 is released with many performance improvements and bug fixes. https://t.co/ImMvpZwaAe

[PlaidML @plaidml]

Preliminary Windows support for #PlaidML is now available including pip installable binaries. Details here: https://t.co/XLbLOrY9vE

[PlaidML @plaidml]

How is it possible to write portable kernels for #PlaidML? With Tile, our new language.
https://t.co/W4NQWL96lG

[Vertex.AI @vertexai]

@robertguetzkow @plaidml Not currently, if you open an issue for your use case we'll update when there's news. https://t.co/bfQUG7rllu

[PlaidML @plaidml]

#PlaidML now has preliminary support for for Mac and Python 3:
https://t.co/Gl1cq9VPhJ
#Keras #OpenCL #DeepLearning

[PlaidML @plaidml]

Thanks to our first outside contributor PlaidML is a step closer to Python 3 support. 🎉

[PlaidML @plaidml]

Why doesn't PlaidML have OpenCL kernels in its source code? Good question. https://t.co/NoX2MWLrNY

[Jeremy Howard @jeremyphoward]

A from-scratch implementation of the entire keras API for OpenCL! https://t.co/odgdZYa4L1

[François Chollet @fchollet]

You can finally run the same deep learning code on any OpenCL-capable GPU -- from NVIDIA, AMD, Intel... this is a big development!

[François Chollet @fchollet]

The code is on GitHub: https://t.co/46qu2ziIN1

[François Chollet @fchollet]

PlaidML is an open-source Keras backend that runs on OpenCL, with good performance relative to TensorFlow: https://t.co/tCmzXHfFUO