Bandwidth that support massive visual-data and AI demands

Scaling Bandwidth for Massive Visual Data and AI Demands

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Hive, a company built around providing a visual data identification solution, has extremely AI-heavy computing needs – after all, their AI system doesn’t just sample visual data, it fully ingests, tags, and analyzes requests from all over the world. To support this, they needed a way to better facilitate global data collection, both in terms of storage and network capabilities.

In this case study overview, find out how Hive achieved cloud network cost savings of over 80%, while ensuring their bandwidth can keep up with massive demands – and how hybrid cloud bursting has helped.

Vendor:
Digital Realty
Posted:
06 Dec 2018
Published:
06 Dec 2018
Format:
PDF
Length:
2 Page(s)
Type:
White Paper
Language:
English
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