# Tensorflow 1.13 and theano 1.0.4 not using gpu

**Date:** Jun 15, 2019

Update: I uninstalled and reinstalled the lambda stack. It did install with CUDA 10.1 and tensorflow 1.13. `tensorflow.test.is_gpu_available` still returns ‘False’ and the tensorflow GPU reqs page mentions support only for CUDA 10.0. Anyone else run into this problem? Why is the lambda stack using ve…

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# Tensorflow 1.13 and theano 1.0.4 not using gpu

**Date:** Jun 15, 2019

So apparently TF 1.13 does not work with CUDA 10.1. I’m guessing 10.1 is not the current lambda stack version. Does this mean I have another ubuntu auto update somewhere updating CUDA? If so, how can I find this?

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# Why lambda stack not install tensorflow-gpu?

**Date:** Jun 15, 2019

Did you solve this issue? My models are also training on CPU, not GPU. Tensorflow does not recognize the GPU from Jupyter or console. I created an environment from lambda stack following the instructions in this forum. Pip list does show tensorflow-gpu in the virtual environment.