# TensorFlow.jl on a cluster

**URL:** <https://discourse.julialang.org/t/tensorflow-jl-on-a-cluster/7718>\
**Category:** Machine Learning\
**Tags:** tensorflow\
**Created:** [December 12, 2017, 7:45pm UTC](https://discourse.julialang.org/t/tensorflow-jl-on-a-cluster/7718 "2017-12-12T19:45:19Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Alexander-Barth](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alexander-barth/32/3692_2.png) [@Alexander-Barth](https://discourse.julialang.org/u/Alexander-Barth)\
**Post date:** [December 12, 2017, 7:45pm UTC](https://discourse.julialang.org/t/tensorflow-jl-on-a-cluster/7718/1 "2017-12-12T19:45:19Z")

</div>

We have a cluster with 64 nodes and two 8-core processors.  
Is it possible to use multiple CPUs with TensorFlow.jl using either 16 cores on a single node or multiple nodes ?

Are the corresponding functions from the Python API (or similar) available in TensorFlow.jl?

[https://www.tensorflow.org/deploy/distributed](https://www.tensorflow.org/deploy/distributed)

I am using TensorFlow.jl 0.7.5 and Julia 0.6.1 on Linux.