The strategic alliance between Vultr and AMD marks a significant expansion in AI infrastructure capabilities with the deployment of 50 megawatts of AMD Instinct MI355X GPUs at Vultr’s new Springfield, Ohio campus. This massive installation adds over 24,000 additional AMD Instinct MI355X GPUs to Vultr’s already substantial supercluster, establishing their first cloud data center location in Ohio while strengthening their Midwest presence.
As the world’s largest privately-held cloud infrastructure company, Vultr’s early adoption of cutting-edge GPU technology demonstrates a significant competitive advantage in the rapidly evolving AI landscape. Their partnership with AMD extends beyond just GPUs to include full-stack infrastructure integration with AMD EPYC 4005 Series processors. This collaboration reflects growing market demand for specialized AI infrastructure capable of handling increasingly complex workloads.
The AMD Instinct MI355X GPUs deliver exceptional processing power for AI training, inference, and high-performance computing tasks. You can expect these systems to efficiently process massive datasets while providing the memory capacity and bandwidth needed for working with transformers and large language models. This infrastructure handles the massive parallelism required for deep learning and real-time processing applications.
Harness the raw power of AMD Instinct MI355X GPUs for seamless processing of complex AI workloads at unprecedented scale.
Looking forward, Vultr plans to integrate AMD’s next-generation Instinct MI450 series GPUs and adopt “Helios” rack-scale infrastructure for advanced deployments. The partnership emphasizes Vultr’s commitment to AMD’s 2026 roadmap for future GPU integration. The AMD Enterprise AI Suite and ROCm open software platform provide optimized libraries that prevent vendor lock-in and offer flexibility for developers.
Vultr, NetApp, and AMD have jointly developed an AI-focused hybrid cloud architecture that centralizes distributed data while supporting high-performance compute workloads. The new deployment focuses on delivering energy-efficient solutions for advanced AI workloads that minimize environmental impact while maximizing performance. This architecture combines AMD’s ROCm ecosystem with Vultr’s global regions to create reproducible architectures that address accelerating AI infrastructure demand.
The hyperscale capacity deployment enables enterprises to push AI boundaries and accelerate application development with minimal setup complexity, delivering unprecedented performance per dollar for organizations developing sophisticated AI systems. This deployment also incorporates robust encryption features to maintain data integrity throughout the processing pipeline. This investment in racked GPU capacity represents a significant advancement in cloud computing options for AI researchers and developers worldwide.
