Bringing AI to the Nexus of Cloud, Compute and Data

Artificial intelligence (AI) is undeniably fueling the next industrial revolution in large part due to its ability to quickly transform data into business-critical insights. The benefits and costs of this transformation have grown in variety, scale and complexity.

Applications requiring machine learning are arguably among the most performance-intensive workloads running in modern data centers. Designing an optimized infrastructure for the unique demands of AI can be a daunting challenge for many enterprises.

Organizations need to consider ways of building for predictable performance which requires a deep understanding of a variety of AI algorithms and their dependencies on compute, storage and interconnection. In addition, without an optimized solution, business may find the ROI of their investment time to insight is delayed.