Enterprise Agility, Reliability, and Efficiency with a Flexible Infrastructure Powered by HCI and GPUs

Enterprise organizations are looking to embrace artificial intelligence (AI). In fact, in the past 12-18 months, many organizations are already well on their way down the AI path, and most are struggling with how to operationalize it at production scale. They want to benefit from the game-changing and transformative benefits that can be realized from AI. A key component of embracing AI is arming data science teams with tools that enable timely success in achieving their AI goals. Data science teams want to leverage their preferred frameworks and learning algorithms through their preferred applications and tools. They are looking to embrace automated workflows and tasks from data selection and training to deployment. And throughout those different steps of the AI lifecycle, ensuring right-sized resources are available is critical.

Download this whitepaper to deliver an effective infrastructure that supports the dynamic concurrency demands of AI.