Vultr targets open composable stacks and AMD partnership to lead cloud AI infrastructure
Cloud AI infrastructure is shifting into a new cycle, defined by who can deliver the strongest performance per dollar on a global setup that also meets different countries' sovereignty rules. That's the premise Vultr is executing on, according to Kevin Cochrane (pictured), chief marketing officer at Vultr Holdings LLC. The company began its AMD partnership on [...
Key Takeaways
- Vultr's Kevin Cochrane says open composable stacks and deep AMD partnership give the alternative hyperscaler a durable cloud AI infrastructure edge.
- " Cochrane spoke with theCUBE's Dave Vellante at the AMD Advancing AI event , during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio.
They discussed how Vultr is positioning itself as the enterprise cloud AI infrastructure specialist, why sovereign AI is a durable, global imperative and how open composable stacks are becoming the company's primary path to market.
- "You need to have decentralized distributed computing everywhere around the world, wherever your customers and your employees live and work," Cochrane said.
"For us, it's not just about making capital investment decisions to build a massive new data center in one region.
- At the show, Vultr announced a joint solution with VAST Data, SUSE and AMD targeting robotics, financial services and healthcare use cases, designed as a prepackaged open composable stack that customers can deploy from the Vultr marketplace in half a minute.
- "We at Vultr are on a mission to make sure every single country gets a full-stack AMD CPU and GPU solution built out.
Stats & Key Facts
- #UPDATED 02:57 EDT / JULY 27 2026 AI Vultr targets open composable stacks and AMD partnership to lead cloud AI infrastructure by Thomas Godwin Cloud AI infrastructure is shifting into a new cycle, defined by who can deliver the strongest performance per dollar on a global setup that also meets different countries' sovereignty rules.
- #The company began its AMD partnership on the CPU side with EPYC and has since expanded to the Instinct GPU line, building a full public cloud platform across 33 global regions on the back of AMD's predictable generational roadmap.
- #For Cochrane, the reliability of that roadmap serves as the infrastructure of Vultr's advantage in price performance, delivering up to 33% better performance at an average of 82% lower cost than competing hyperscaler offerings.
Vultr's Kevin Cochrane says open composable stacks and deep AMD partnership give the alternative hyperscaler a durable cloud AI infrastructure edge. UPDATED 02:57 EDT / JULY 27 2026 AI Vultr targets open composable stacks and AMD partnership to lead cloud AI infrastructure by Thomas Godwin Cloud AI infrastructure is shifting into a new cycle, defined by who can deliver the strongest performance per dollar on a global setup that also meets different countries' sovereignty rules. That's the premise Vultr is executing on, according to Kevin Cochrane (pictured), chief marketing officer at Vultr Holdings LLC.
The company began its AMD partnership on the CPU side with EPYC and has since expanded to the Instinct GPU line, building a full public cloud platform across 33 global regions on the back of AMD's predictable generational roadmap. For Cochrane, the reliability of that roadmap serves as the infrastructure of Vultr's advantage in price performance, delivering up to 33% better performance at an average of 82% lower cost than competing hyperscaler offerings. "The CPU never went away," Cochrane said.
"It now just breathes new life because we have new types of workloads that we need to deploy. " Cochrane spoke with theCUBE's Dave Vellante at the AMD Advancing AI event , during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how Vultr is positioning itself as the enterprise cloud AI infrastructure specialist, why sovereign AI is a durable, global imperative and how open composable stacks are becoming the company's primary path to market.
For more details please read the original article at SiliconANGLE AI.
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