AI Native Cloud Infrastructure Beyond the Hyperscalers
AI native cloud infrastructure is the enterprise story most buyers miss. Kevin Cochrane, chief marketing officer at Vultr, joins Alan Shimel on Techstrong TV. Furthermore, they unpack how a twelve year old cloud built for developers turned into a serious alternative to the traditional hyperscalers for AI native workloads.
About Kevin Cochrane
Kevin leads marketing at Vultr. In addition, he has worked across enterprise software, SaaS and cloud since the late nineties. Consequently, he brings a long memory of the dot com wave, the ASP era and the cloud native shift into every conversation about AI.
Inside AI native cloud infrastructure
Vultr launched in 2014 as a developer first cloud. As a result, it grew past one hundred million in revenue with no outside capital. Meanwhile, the team pushed into GPUs, storage and networking tuned for AI. Therefore, enterprises get a global cloud stack tuned for AI native applications and not just a rack of chips.
Kevin also draws a sharp line between Vultr and the Neocloud pack. In addition, he argues that scarcity of GPU is not a moat. Consequently, enterprise buyers still need security, compliance, governance and global availability layered on top of AI infrastructure, not stripped out of it.
Why this matters now
Meanwhile, cloud native is the base layer for agentic AI. Furthermore, Kevin explains that API first, microservices and headless design carry directly into MCP servers and agents. In short, AI native cloud infrastructure is an evolution of cloud native, not a break from it.
Explore more cloud coverage and the latest Techstrong TV interviews. In addition, Kevin explains why Vultr sponsors KubeCon and PlatformCon. He also shares why platform engineers should lead the industrial rollout of AI native services across their whole company. Along the way, Kevin previews his forthcoming book that traces the arc from railroads to fiber and now to modern cloud.
For more information please visit vultr.com
