Accelerating AI Modernization with Data Infrastructure
This paper has discussed a range of challenges organizations face when they are ready to scale their AI applications for production. From data preparation to model development to runtime environments to training, deploying, and managing AI models, the requirements for the underlying infrastructure defy the old models of general-purpose hardware. Investments in an infrastructure that is designed for data-intensive workloads, with superior performance, scaling, data access, and integration, and can blend into a hybrid cloud environment to provide long-term value and service quality. Organizations will need to make decisions about replacing or supplementing existing general-purpose storage platforms with storage systems that are geared towards AI-specific processing tasks. This will serve as the foundation for developing and run cutting-edge AI applications.
Find out more about this study by downloading this whitepaper.
Find out more about this study by downloading this whitepaper.