ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
1–10 of 17 posts
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#2Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#3Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#4Their methods rely on heuristics to sparsify NNs. They compare their sparse and dense methods to PyTorch and Tensorflow and get worse perf on dense inferences but better on sparse. It would be useful to know if PyTorch runs faster or slower than their methods using their sparsified matrix techniques.
Probably not an easy feat. Sparse support in pytorch is minimal.
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#5by skipping it you can play a little slower but probably a lot cheaper
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#6Yes but do they pay Anyscale anything for this use of Ray?
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#7Yes but do they pay Anyscale anything for this use of Ray?
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#8Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#9Seems to require Tensorflow. That makes it basically irrelevant?
Re: ThirdAI Uses Ray for Parallel Training of Billion-Parameter NN on Commodity CPUs
#10Seems to require Tensorflow. That makes it basically irrelevant?
Here’s a random example of pytorch on ray: https://www.ray.io/ray-sgd