Vultr and AMD Launch 20MW GPU Cluster in Chennai—India's Largest AMD Instinct Deployment

Vultr Brings Massive AI Infrastructure to India

Vultr has announced it will deploy a 20MW cluster of AMD Instinct MI355X GPUs in Chennai, creating India's largest AMD Instinct deployment and positioning the city as home to one of the world's largest AMD GPU clusters1

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. The Chennai AI supercluster will stand alongside Vultr's flagship supercluster in Springfield, Ohio, giving the cloud infrastructure company two of the world's largest AMD AI infrastructure deployments globally3

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. This deployment marks a major expansion of Vultr and AMD collaboration, bringing enterprise-grade AI infrastructure directly to Indian soil.

Technical Specifications Drive Competitive Performance

The AMD Instinct MI355X GPUs deployed in the Chennai facility offer 288GB of HBM3E memory and 8TB/s of memory bandwidth per GPU, providing substantially more memory capacity than competing solutions like NVIDIA's B200, which offers 180GB1

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. The Chennai AI supercluster is designed to support demanding workloads including large language model training, foundation model training, fine-tuning, and high-throughput inference2

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. The deployment will leverage the 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 workloads3

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Addressing Data Sovereignty and Regulatory Requirements

J.J. Kardwell, CEO of Vultr, emphasized the critical need for local infrastructure: "Enterprises deploying AI at scale need infrastructure they can access locally to meet data sovereignty, data residency, and latency requirements"1

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. The launch comes as demand for sovereign cloud infrastructure is rising globally, driven by security concerns, regulatory requirements, and performance expectations that intensify the need for in-country infrastructure capable of supporting advanced AI workloads2

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. With 34 global cloud data center regions across 17 countries, Vultr provides secure, compliant infrastructure at predictable costs to enterprises, AI innovators, and government agencies across six continents3

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Expanding Access to AI Compute in India

Jaya Jagadish, Country Head & SVP Engineering at AMD India, stated: "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"1

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. The Chennai supercluster is designed to serve AI labs and foundation model builders, AI-native startups, enterprises, and research and academic institutions, providing the compute capacity organizations need to develop and deploy AI at scale2

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. The open software approach supports AI innovation in India through open-source software and community-driven development3

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Future Expansion Plans and Broader Market Context

Vultr plans significant additional capacity expansion in 2027, including AMD Instinct MI455X GPUs and the AMD Helios rack-scale AI architecture, broadening global access to next-generation AI infrastructure2

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. 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 AMD EPYC data center CPUs that power Vultr VX1 Cloud Compute3

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. AMD is pursuing larger deployments through cloud providers and AI labs, with Oracle planning to deploy 50,000 MI450-series GPUs from Q3 2026, OpenAI expecting AMD's Helios rack-scale systems from Q4 2026, Anthropic announcing up to 2GW of MI455X GPUs, and Meta committing to multi-gigawatt AMD GPU deployment1

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. Chennai's position as one of India's major data centre hubs makes it an ideal location, with recent investments including CapitaLand's ₹1,940 crore investment in a Chennai data centre with 34MW of IT capacity and 53MW of gross power capacity1

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. The Chennai deployment reflects a broader shift toward geographically-distributed AI infrastructure, bringing large-scale cloud computing closer to where data is created and AI applications are deployed2

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