Vultr, the world's largest privately-held cloud infrastructure company, has announced a major expansion of its AMD-powered infrastructure for enterprise and sovereign cloud initiatives, unveiling plans to deploy AMD Instinct MI355X GPUs in a new 20 MW supercluster in Chennai, India. The deployment will create the country's largest AMD Instinct installation and give Vultr two of the world's largest AMD AI infrastructure deployments globally, alongside its flagship supercluster in Springfield, Ohio.
The move underscores the growing importance of in-country AI compute capacity as enterprises and governments seek infrastructure that satisfies data sovereignty, data residency, and latency requirements. Demand for sovereign cloud infrastructure is rising globally, driven by security concerns, regulatory requirements, and performance expectations that are intensifying the need for locally hosted infrastructure capable of supporting advanced AI workloads.
The Chennai supercluster is designed to serve AI labs and foundation model builders, AI-native startups, enterprises, and research and academic institutions. It will support demanding workloads including large language model and foundation model training, fine-tuning, and high-throughput inference. Each AMD Instinct MI355X GPU offers 288GB of HBM3E memory and 8TB/s of memory bandwidth, providing the performance and memory capacity required to develop and deploy increasingly complex AI models at scale.
"Enterprises deploying AI at scale need infrastructure they can access locally to meet data sovereignty, data residency, and latency requirements," said J.J. Kardwell, CEO of Vultr. "Vultr's Chennai supercluster, powered by AMD MI355X GPUs, gives organizations in India the capacity to train, fine-tune, and run inference on in-country infrastructure."
Vultr's longstanding relationship with AMD spans the AMD Instinct GPU roadmap, from MI300X and MI325X to MI355X and the planned MI455X and AMD Helios rack-scale architecture, together with the AMD EPYC data center CPUs that power Vultr VX1 Cloud Compute. The Chennai deployment extends that collaboration as the two companies expand access to advanced AI infrastructure through Vultr's global cloud footprint. Looking ahead, Vultr plans significant additional capacity expansion in 2027, including AMD Instinct MI455X GPUs and the AMD Helios rack-scale AI architecture.
The Chennai supercluster will also leverage the AMD ROCm open software ecosystem, giving developers access to widely used AI frameworks, libraries, and models with greater flexibility in how they develop and deploy AI workloads. The open software approach is expected to support AI innovation in India through open-source software and community-driven development.
"India has the talent and ideas to build the next generation of AI. Access to compute at this scale will help turn more of those ideas into reality," said Jaya Jagadish, Country Head and SVP Engineering at AMD India. "Through our collaboration with Vultr, we're expanding access to AMD Instinct compute in India, backed by the AMD ROCm open software ecosystem, giving researchers, startups, and enterprises greater choice and flexibility in how they develop and deploy AI."
With 34 global cloud data center regions, Vultr provides secure, compliant infrastructure at a predictable cost to enterprises, AI innovators, and government agencies in 17 countries across six continents. The Chennai deployment reflects a broader shift toward geographically distributed AI infrastructure, bringing large-scale compute closer to where data is created and AI applications are deployed.
