Tips on Scaling Storage for AI Training and Inferencing

There are many benefits of GPUs in scaling AI, ranging from faster model training to GPU-accelerated fraud detection. While planning AI models and deployed apps, scalability challenges--especially performance and storage--must be accounted for. Of these elements, data storage is often the most neglected during the planning process. Because data storage needs, over time, are not always considered while creating and deploying an AI solution. Most requirements for an AI deployment are quickly confirmed through a POC or test environment.