Acceleration For Artificial Intelligence and Deep Learning Applications

Artificial Intelligence (AI) is rapidly becoming an essential business and research tool, giving organizations valuable insights into their data. Now, tremendous resources are being invested by enterprises, universities and government organizations to further develop and benefit from AI and Deep Learning (DL).

At the core of AI is the training process whose scale and complexity can expand—greatly depending on the software framework employed, strategies selected, and scope of capability desired. This training process is essential in achieving the desired AI and DL result, but it requires immense I/O, data storage and computational resources. Further due to minimal IT resources and systems expertise, there is a need for AI systems that are easily deployed, managed and scaled, delivering immediate workflow enablement and full saturation of GPU resources.

This white paper explores how effective solutions can facilitate breakthrough AI innovation by delivering significant acceleration in time to insight.

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