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“When you talk about inferencing, you have a real application. The application has data. The application has compute. The application needs to interface with other third-party applications. So, you need a full general-purpose cloud to coexist with a GPU cloud to power inferencing application at scale,” DigitalOcean CEO Paddy Srinivasan tells Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of Tech Disruptors, the two discuss DigitalOcean’s edge as a digitally-native cloud service provider in a market served largely by the three hyperscalers. In this conversation, Srinivasan also touches upon the company’s differentiated approach to capital spending, AI inferencing vs. training and which pockets still have a good growth runway.
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“When you talk about inferencing, you have a real application. The application has data. The application has compute. The application needs to interface with other third-party applications. So, you need a full general-purpose cloud to coexist with a GPU cloud to power inferencing application at scale,” DigitalOcean CEO Paddy Srinivasan tells Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of Tech Disruptors, the two discuss DigitalOcean’s edge as a digitally-native cloud service provider in a market served largely by the three hyperscalers. In this conversation, Srinivasan also touches upon the company’s differentiated approach to capital spending, AI inferencing vs. training and which pockets still have a good growth runway.
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