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Vultr and AMD Expand Collaboration to Accelerate Energy-Efficient Data Center Infrastructure


Vultr, one of the largest privately-held cloud infrastructure companies, is marking a major milestone in its long-standing strategic collaboration with AMD to advance and scale AI workloads worldwide.

Vultr will launch an AI supercluster, powered by AMD Instinct MI355X GPUs deployed in its new Springfield, Ohio cloud data center location. This 50 MW expansion delivers unprecedented performance per dollar for AI training and inference. 

Vultr is among the first cloud providers to deploy AMD Instinct MI325X and AMD Instinct MI355X GPUs, and is now expanding its AI infrastructure with an additional 24,000 AMD Instinct MI355X GPUs in its new Springfield, Ohio campus.

This significant deployment reinforces the collaboration between AMD and Vultr to deliver high-performance, energy-efficient AI infrastructure for customers worldwide. Looking ahead, Vultr will extend its adoption of AMD Instinct GPUs by integrating the next generation AMD Instinct MI450 series GPUs and the “Helios” rack-scale infrastructure, further advancing its commitment to the AMD AI platform roadmap, the company said.

“As demand for AI infrastructure continues to accelerate, Vultr is committed to delivering hyperscale capacity with speed and global reach,” said J.J. Kardwell, CEO of Vultr. “By investing in the development of racked GPU capacity at scale, we’re enabling enterprises to push the boundaries of what’s possible with AI and bring next-generation applications to market faster.” 

Vultr’s strategic partnership with AMD extends beyond GPUs to full-stack infrastructure, including the AMD EPYC 4005 Series processors, and, most recently, Vultr VX1 Cloud Compute

“Our work with Vultr exemplifies how strategic collaboration can deliver AI infrastructure with global scale and efficiency,” said Andrew Dieckmann, corporate vice president and general manager, data center GPU business unit, AMD. “Together, we’re delivering large-scale AI compute that meets the needs of the most demanding AI workloads.”

For more information about this news, visit www.vultr.com.


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