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Machine learning

Neural network training tasks require a big amount of data to be downloaded to remote PCs. The size of training data varies from several gigabytes to hundreds of terabytes. Sonm resources are distributed across the world, which helps to speed up the process of machine learning.

You can get the best performance out of GPUs in the Sonm network for a lower price: our global marketplace is designed to deliver the best performance per dollar for targeted workloads and to enable ML engineers and researchers to iterate more quickly.

Machine learning on Sonm

Machine learning on Sonm

Sonm's fog computing platform consists of hardware that is optimized to speed up and scale up machine learning workloads for training and inference programmed with: TensorFlow, Theano, Caffe, Apache Spark MLib