Running deep learning algorithms on cloud infrastructure can overcome many of these challenges. You can use deep learning in the cloud to design, develop, and train deep learning applications faster.
Speed
You can train deep learning models faster by using clusters of GPUs and CPUs to perform the complex mathematical operations that your neural networks require. You can then deploy these models to process large amounts of data and produce increasingly relevant results.
Scalability
With the wide range of on-demand resources available through the cloud, you can access virtually unlimited hardware resources to tackle deep learning models of any size. Your neural networks can take advantage of multiple processors to seamlessly and efficiently distribute workloads across different processor types and quantities.