A Developer’s Guide to Choosing the Right GPUs for Deep Learning (Presented by Amazon Web Services)
, Senior Developer Advocate, AI/ML, Amazon Web Services
As a deep learning developer or data scientist, choosing the right GPU for deep learning can be challenging. On AWS you can choose from multiple NVIDIA GPU-based Amazon EC2 compute instances based on your training and deployment requirements. You can choose from instances with different GPU memory sizes, architectures, number of GPUs per instance, system memory, and network bandwidth. Choosing the right NVIDIA GPU on AWS will help you improve training and inference performance, reduce cost, and get results faster. We'll deep dive into how to choose the right GPU-based EC2 instance on AWS for your deep learning projects from the most performant instance for training, the best instance for prototyping, and the most cost-effective instance for inference deployments. Get all the information you need to make an informed choice for GPU instance for every machine learning workload.