piiswrong commented on a change in pull request #8766: NDArray Indexing 
tutorial and Gradient Compression FAQ
URL: https://github.com/apache/incubator-mxnet/pull/8766#discussion_r152674943
 
 

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 File path: docs/faq/gradient_compression.md
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+# Gradient Compression
+
+Gradient Compression reduces communication bandwidth to make distributed 
training with GPUs more scalable and efficient without significant loss in 
convergence rate or accuracy.
+
+
+## Benefits
+
+**Increased Speed**
+
+For architectures with fully connected components, the gradient compression 
capability is observed to speedup training by about 2x, depending on the size 
of the model and the network bandwidth of the instance. Bigger models see 
larger speedup with gradient compression.
 
 Review comment:
   fully connected components -> fully connected layers

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