The use of edge computing is driving a need for more local computing power, but a new study reveals that enterprises are facing problems when it comes to supporting edge workloads. The survey of more than 300 storage professionals from computational storage specialist NGD systems finds that while enterprises are rapidly deploying technologies for real-time analytics, machine learning and IoT, they are still using legacy storage solutions that are not designed for such data-intensive workloads. In fact, 54 percent of respondents say their processing of edge applications is a bottleneck, and they want faster and more intelligent storage solutions. 60…
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