all AI news
How to Reduce the Training Time of Your Neural Network from Hours to Minutes
May 6, 2022, 5:07 a.m. | Bhaskar Agarwal
Towards Data Science - Medium towardsdatascience.com
Part 2 of the articles on AI with HPC: parallelising a CNN with Horovod and GPUs to obtain a 75x-150x speed-up.
Photo by Robert Katzki on UnsplashIn part 1 of the series we looked at how it is possible to get a ~1500x speed-up in IO operations with a few lines of Python using the multiprocessing module. In this article, we will look at parallelising a deep learning code and reducing the training time from roughly 13 hours to …
deep-dives deep learning gpu network neural network neural networks parallel-computing reduce time training
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote