Abstract

This IDC Perspective examines the issues created by AI software, and how hardware vendors are innovating to meet the challenge. It offers insight into the typical challenges created by AI and presents what vendors are doing to innovate in the space and to bring AI to an even wider audience.

"Computer hardware developments have been integral to the development of the most recent wave of AI. Without hardware innovations, it would have been impossible to realize breakthroughs in AI, particularly in the area of deep learning. In virtually every case, the underlying techniques that drive most of today's AI systems were conceived 30 to 40 years ago — but only recently did hardware platforms and data management systems gain the capabilities required to realize these techniques in real-world applications. However, hardware is still cited as a major constraining factor to what is practically achievable with AI; this might be expressed in terms of the cost and power consumption of hardware required to train and run an advanced AI system or the challenges of being able to ingest enough data to train an accurate model," said Jack Vernon, senior research analyst, European Artificial Intelligence Strategies.


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