AMD and TCS Partnership Expands to Deploy 200MW Helios Platform AI Infrastructure in India

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AMD and TCS are expanding their strategic collaboration to deploy the Helios platform in India, introducing a rack-scale AI platform with up to 200 megawatts of capacity. The partnership aims to accelerate AI infrastructure deployment through TCS subsidiary HyperVault, positioning AMD to compete directly with Nvidia in one of the world's fastest-growing AI markets.

AMD and TCS Partnership Targets India's Growing AI Market

Advanced Micro Devices has announced an expanded strategic collaboration with Tata Consultancy Services to deploy its latest rack-scale AI platform in India, marking a direct challenge to Nvidia in one of the world's fastest-growing AI markets

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. The AMD and TCS partnership will co-develop AI infrastructure based on AMD's Helios platform through TCS subsidiary HyperVault AI Data Center Limited, established in 2025 to deliver gigawatt-scale, secure infrastructure for hyperscalers, AI companies, and global enterprises

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. This move comes as India ranks third in AI competitiveness behind the United States and China, according to Stanford University's Institute for Human-Centered AI

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Source: Digit

Source: Digit

Helios Platform Powers Next-Generation AI Infrastructure

The Helios platform represents AMD's full-stack approach to AI compute, moving beyond individual chip sales to deliver complete data center solutions

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. The rack-scale AI platform integrates AMD Instinct MI455X GPUs, next-generation EPYC Venice CPUs, Pensando Vulcano NICs, and the open ROCm software ecosystem to support demanding applications including artificial intelligence, machine learning, data analytics, and scientific research

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. Dr. Lisa Su, Chair and CEO of AMD, emphasized that "AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure"

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. The architecture delivers high compute density and advanced networking performance specifically tailored for sovereign AI factories and large-scale AI compute capacity needs

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Source: Gadgets 360

Source: Gadgets 360

AI-Ready Data Center Blueprint Scales to 200 Megawatts

As part of the strategic collaboration, AMD and TCS will introduce an AI-ready data center blueprint capable of supporting up to 200 megawatts of capacity, a scale that matters significantly for high-performance AI training and inference workloads requiring large power and cooling envelopes

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. The blueprint provides a scalable framework intended for hyperscalers, enterprises, and AI companies looking to build or expand next-generation data centers

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. TCS will provide system integration, deployment, and management services, enabling customers to transform their IT infrastructure and improve operational efficiency

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. The companies plan to work with hyperscalers and AI firms to accelerate data center build-outs in India, using the Helios blueprint as a repeatable template

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Competition Intensifies Against Nvidia in India

The partnership positions AMD more directly against Nvidia in India's rapidly expanding AI infrastructure segment, as enterprises and government-backed initiatives scale capacity to support large language models and AI workloads

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. Under the expanded partnership, AMD supplies its full-stack AI compute platform while TCS brings data center engineering, integration, and enterprise deployment capabilities

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. K Krithivasan, MD and CEO of TCS, stated that "this collaboration lays the foundation for AMD's first Helios powered AI infrastructure in India" and highlighted the combination of strengths in AI, connectivity, sustainable power, and advanced data center engineering

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. TCS separately outlined plans to enter the data center market targeting as much as 1.2 gigawatts of capacity, signaling ambitious growth in India's AI ecosystem

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. The rack-scale design aims to improve performance efficiency and reduce time to deployment for enterprise AI workloads, offering an open alternative for large AI deployments. The flexible architecture supports hybrid cloud environments, enhanced networking, and optimized software stacks for AI applications, positioning both companies to capture market share as global chipmakers intensify their race for AI dominance in India

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Source: ET

Source: ET

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