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author | 2016-05-16 12:56:18 -0800 | |
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committer | 2016-05-16 14:01:55 -0700 | |
commit | 539bbf049edb4a60400b57df6f5d93c0b289bffe (patch) | |
tree | 71a513a921292669879a8ec0517b7d94404a4dac /tensorflow/g3doc/resources/faq.md | |
parent | e876504fe2cd562e59156b8813a84f085ae2b349 (diff) |
Update FAQ to mention that distributed support is now available.
Fixes #2393.
Change: 122454881
Diffstat (limited to 'tensorflow/g3doc/resources/faq.md')
-rw-r--r-- | tensorflow/g3doc/resources/faq.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/g3doc/resources/faq.md b/tensorflow/g3doc/resources/faq.md index 0d9cca871a..6143728654 100644 --- a/tensorflow/g3doc/resources/faq.md +++ b/tensorflow/g3doc/resources/faq.md @@ -10,10 +10,10 @@ answer on one of the TensorFlow [community resources](../resources/index.md). #### Can I run distributed training on multiple computers? -The initial open-source release of TensorFlow supports multiple devices (CPUs -and GPUs) in a single computer. We are actively working on an open-source -multi-machine version, and plan to release it as soon as it's ready. You can -follow progress at the [GitHub issue](https://github.com/tensorflow/tensorflow/issues/23). +Yes! TensorFlow gained +[support for distributed computation](../how_tos/distributed/index.md) in +version 0.8. TensorFlow now supports multiple devices (CPUs and GPUs) in one or +more computers. #### Does TensorFlow work with Python 3? |