UPDATED 10:44 EST / NOVEMBER 12 2025

Kevin Cochrane, chief marketing officer of Vultr, and Aleks Shargorodskiy, strategic partnerships at AMD, talk about marrying AMD's CPUs with Vultr's cloud infrastructure at KubeCon NA 2025. AI

Sovereign cloud meets global AI scale as AMD and Vultr deepen their partnership

Companies want a cloud infrastructure that can manage artificial intelligence on a global scale.

In an effort to keep up with the demand for integrated AI architecture, the Constant Company LLC (Vultr) has extended its partnership with Advanced Micro Devices Inc. Its new cloud compute series lowers the overhead cost, while prioritizing data sovereignty.

Kevin Cochrane, chief marketing officer of Vultr, and Aleks Shargorodskiy, strategic partnerships at AMD, delve into open-source cloud infrastructure for AI.

AMD’s Aleks Shargorodskiy and Vultr’s Kevin Cochrane discuss their companies’ partnership.

“Your data is your data,” said Kevin Cochrane (pictured, right), chief marketing officer of Vultr. “It doesn’t cross geographic boundaries, unless you physically move it. But moreover … we need to be able to support sovereign cloud efforts where you can set up dedicated control planes in region that can manage a set of cloud resources that don’t have external dependencies. This is very important in the context of AMD as well, because we want to set up sovereign clouds that can also help you scale your global workloads.” 

Cochrane and Aleks Shargorodskiy (left), strategic partnerships at AMD, spoke with theCUBE’s Savannah Peterson and Rob Strechay at the KubeCon + CloudNativeCon NA event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Vultr’s cloud infrastructure works with AMD’s compute architecture. (* Disclosure below.)

Prioritizing open-source cloud infrastructure

Vultr and AMD’s latest VX1 release offers 82% better performance per dollar, according to Cochrane. That ability to harness high-performing CPUs at a low cost while freeing up GPU space could be especially useful for healthcare and life science applications.

“The models that are needed in life sciences are really, really big,” Shargorodskiy added. “One big benefit of AMD GPUs is we have a competitive advantage in our high-bandwidth memory. All these large models that do genomic prediction for folding proteins and drug discovery, they can all fit on a single GPU and I’ll be able to run on a single one.”

Vultr’s collaboration with AMD takes advantage of AMD’s ROCm open software stack and Vultr’s global cloud infrastructure to maximize the power of GPUs. The company also follows open-source standards, with six-week release cycles.

“Every release cycle, you’re unlocking more power even in older generations of AMD GPUs,” Cochrane emphasized. “We love that commitment to open source and open standards.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the KubeCon + CloudNativeCon NA event:

(* Disclosure: The Constant Company LLC (Vultr) sponsored this segment of theCUBE. Neither Vultr nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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