Analytics and AI present a serious challenge to businesses in developing new expertise and transforming data architectures from enterprise-class to AI-ready. AI workloads demand a different approach to managing the data lifecycle. The new AI datacenter must be optimized for ingesting, storing, transforming and optimizing data and feeding that data through hyper-intensive analytics workflows and ultimately, extracting value. Ensuring the maximum value of your investment into GPU platforms like NVIDIA's DGX-1 requires careful planning. Learn how to architect and deploy data platforms with robust and balanced performance for all I/O patterns.