March 15, 2025
Accelerating Deep Learning on AWS EC2
One common approach to significantly speed up training times and efficiently scale model inference workloads is to deploy GPU-accelerated deep learning microservices to the cloud, enabling flexible, on-demand compute for training and inference tasks. This article provides a comprehensive guide covering the setup and optimization of such a microservice architecture. We’ll explore installing CUDA, choosing the right Amazon EC2 instances, and architecting a scalable, GPU-enabled deep learning platform on AWS. Understanding CUDA and Its Role in Deep Learning CUDA (Compute Unified Device Architecture) is a parallel computing platform and API from NVIDIA that allows developers to harness the power of