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Chennai to Host One of the World’s Largest AMD GPU Clusters
Chennai to Host One of the World’s Largest AMD GPU Clusters

Chennai to Host One of the World’s Largest AMD GPU Clusters

Vultr has announced a 20MW cluster of AMD MI355X GPUs in Chennai.

Published Updated

Key takeaways

  • Vultr is deploying a significant AMD MI355X GPU cluster in Chennai, marking India's largest AMD Instinct deployment.
  • The cluster aims to meet local demands for data sovereignty and low latency in AI applications.
  • AMD's partnership with Vultr enhances access to advanced computing resources for Indian enterprises and researchers.
  • Despite the competitive specifications of AMD GPUs, NVIDIA maintains an advantage through its established software ecosystem and market presence.
5 min

Vultr, the cloud infrastructure company, has announced it will deploy a 20MW cluster of AMD MI355X GPUs in Chennai.

This will be India’s largest AMD Instinct GPU deployment, and one of the world’s largest, alongside Vultr’s supercluster in Springfield, Ohio, in the US. 

“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 organisations in India the capacity to train, fine-tune, and run inference on in-country infrastructure.” 

Jaya Jagadish, country head & SVP of engineering at AMD India, said, “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.”

“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,” she added. 

AMD launched its Instinct MI355X GPUs last June. 

The accelerator offers 288 GB of HBM3E memory, compared with 180 GB on Nvidia’s B200, alongside competitive peak compute performance.

However, hardware specifications alone do not determine real-world performance. NVIDIA retains an advantage through its mature CUDA software ecosystem, extensive developer adoption and integrated AI infrastructure stack. 

It also continues to dominate the AI accelerator market, although its share varies by market definition and measurement period.

Vultr operates 34 cloud data centre regions across 17 countries worldwide. The company said that it plans significant additional capacity expansion with AMD next year, including the next-generation MI455X GPUs and the Helios rack-scale AI architecture. 

AMD is also pursuing larger deployments through cloud providers and AI labs. Alongside Vultr, TensorWave operates an 8,192 AMD GPU cluster, one of North America’s largest deployments. The company has since expanded its cloud offerings to include the newer MI355X GPUs and announced plans to adopt AMD's next-generation GPUs. 

Oracle announced plans to begin deploying 50,000 MI450-series GPUs in its cloud infrastructure from the third quarter of 2026, with further expansion planned for 2027 and beyond. 

OpenAI expects to bring AMD’s Helios rack-scale systems online from the fourth quarter of 2026, with deployments accelerating through 2027. Anthropic, meanwhile, has announced a multiyear partnership to deploy up to 2 GW of MI455X GPUs. 

Meta has also committed to a multi-gigawatt AMD GPU deployment, working to scale capacity and validate AMD’s next-generation infrastructure.

Chennai is one of the country’s major data centre hubs. Vultr's announcement follows CapitaLand’s investment.

The Singapore-based firm announced a ₹1,940 crore investment in its Chennai data centre, with 34 MW of IT capacity and 53 MW of gross power capacity. Other major players expanding in the city include STT GDC India, CtrlS Datacenters and Sify Technologies, which have announced or developed facilities to meet growing demand for cloud computing and AI infrastructure.

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