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AMD and TCS Partner on Rack-Scale AI and HPC Infrastructure
Advanced Micro Devices (AMD) announced the expansion of its strategic collaboration with Tata Consultancy Services (TCS) on Monday. The two tech giants will co-develop a state-of-the-art rack‑scale AI platform based on the US-based chipmaker's Helios platform, for accelerating research and innovation across industries. As per AMD, the initiative aims to combine its advanced data centre processors with TCS' integration and services expertise to deliver powerful compute infrastructure tailored for complex workloads. AMD-TCS Collaboration for Rack-Scale AI Architecture As per details shared by both companies, this collaboration will enable customers to build scalable and optimised HPC infrastructure that can support next-generation workloads. The system integration, deployment, and management services will be provided by TCS. This will enable customers to transform their IT infrastructure and improve operational efficiency. AMD said that the Helios system is designed to support demanding applications such as artificial intelligence (AI), machine learning (ML), data analytics, and scientific research. It is powered by AMD Instinct MI455X GPUs, next-generation AMD EPYC "Venice" CPUs, AMD Pensando Vulcano NICs, and the open ROCm software ecosystem. Together, these technologies form a rack-scale AI platform that is purpose-built to support sovereign AI factories and advanced data centre environments. As per the company, the architecture is designed to deliver high compute density and advanced networking performance for large AI and machine learning workloads. "With 'Helios,' we are delivering an open, rack-scale AI platform designed for performance, efficiency, and long-term flexibility," Dr. Lisa Su, Chair and CEO of AMD, said in a statement. The Helios platform is said to offer a flexible architecture that can be tailored to meet the needs of specific customers. This includes hybrid cloud support, enhanced networking, and optimised software stacks for AI and analytics. As part of the collaboration, AMD and TCS will also introduce an AI-ready data centre blueprint capable of supporting up to 200MW of capacity. It is intended to provide a scalable framework for hyperscalers, enterprises, and AI companies looking to build or expand next-generation data centres. The two companies will also work with hyperscalers and AI firms to accelerate data centre build-outs in India.
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TCS, AMD to expand AI partnership to take on Nvidia in India - The Economic Times
Chipmaker AMD is deepening its India push through an expanded partnership with India's largest IT services company Tata Consultancy Services (TCS), deploying its latest rack-scale AI data centre technology in the country as they prepare for competition from Nvidia Corporation in one of the world's fastest-growing AI markets.Chipmaker AMD is deepening its India push through an expanded partnership with India's largest IT services company Tata Consultancy Services (TCS), deploying its latest rack-scale AI data centre technology in the country as they prepare for competition from Nvidia Corporation in one of the world's fastest-growing AI markets. TCS and Advanced Micro Devices (AMD) will co-develop a rack-scale AI infrastructure design based on AMD's 'Helios' platform in India, with an eye on large enterprises and sovereign AI demand, the company said. The collaboration will see TCS, through its subsidiary HyperVault AI Data Center Limited, bring AMD's state-of-the-art AI architecture to India. The collaboration includes an AI-ready data centre blueprint that can scale up to 200 megawatts of capacity. The partnership was announced just as the AI Impact Summit opened in New Delhi on Monday. The companies said the platform is designed to support high-performance AI training and inference workloads for hyperscalers, AI firms, and large enterprises operating in India. The move positions AMD more directly against Nvidia in India's rapidly expanding AI infrastructure segment, as enterprises and government-backed initiatives scale compute capacity to support large language models, AI training and inference workloads. Under the expanded partnership, AMD will supply its full-stack AI compute platform, while TCS will bring data centre engineering, integration and enterprise deployment capabilities. According to the companies, the rack-scale design is meant to improve performance efficiency and reduce time to deployment for enterprise AI workloads. AMD chair and CEO Lisa Su said, "AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure. With 'Helios', we are delivering an open, rack-scale AI platform designed for performance, efficiency, and long-term flexibility. Together with TCS, we are enabling enterprises across India to deploy AI at scale today while building the compute foundation of tomorrow." TCS MD and CEO K Krithivasan said, "This collaboration lays the foundation for AMD's first Helios powered AI infrastructure in India. By combining our strengths in AI, connectivity, sustainable power, and advanced data centre engineering, we are poised to deliver state-of-the-art infrastructure solutions for AI companies and global enterprises. We are thrilled to deepen our longstanding partnership with AMD as we expand our participation in the AI ecosystem - Infrastructure to Intelligence." TCS established HyperVault in 2025 to deliver GW-scale, secure and reliable AI-ready infrastructure for hyperscalers, AI companies and global enterprises. The expanded partnership builds on earlier collaboration between the two companies to help enterprises scale AI adoption and modernise hybrid environments, as global chipmakers intensify their race for AI dominance in India.
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AMD Targets Nvidia's Turf With Massive Tata Partnership - Advanced Micro Devices (NASDAQ:AMD)
On Monday, Advanced Micro Devices Inc. (NASDAQ:AMD) said it is expanding work with Tata Consultancy Services to roll out its newest AI data center design in India, a move aimed at taking share from Nvidia Corp. (NASDAQ:NVDA) in a fast-scaling market. The effort leans on Helios' rack-scale architecture and ties into TCS's HyperVault push to build AI-ready facilities for hyperscalers and enterprises. Bloomberg reported the companies' plan to use AMD's Helios data center blueprint to support up to 200 megawatts of AI infrastructure capacity in India. The announcement fits AMD's broader push to sell more of the full stack needed to stand up AI compute, rather than only individual chips. How AMD Plans To Challenge Nvidia's Dominance The India build-out centers on a rack-scale platform called Helios that AMD and TCS plan to co-develop for data centers, using AMD Instinct MI455X GPUs, next-generation AMD EPYC "Venice" CPUs, and AMD Pensando Vulcano networking. The design also uses AMD's ROCm software stack, positioning the system as an open alternative for large AI deployments. AMD CEO Lisa Su said in Monday's statement, "AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure," adding that the partnership is meant to help organizations deploy AI at scale while building longer-term capacity. Momentum for AMD's accelerators has also been showing up in partner checks. Is India The Next AI Infrastructure Battleground? India's ability to scale technology quickly is part of why global chip and cloud players are leaning in, with the country ranking third in AI competitiveness behind the U.S. and China, based on Stanford University's Institute for Human-Centered AI. AMD and TCS are framing the Helios rollout as a way to help enterprises and public-sector efforts build local compute capacity. TCS has been laying groundwork for this shift through HyperVault, which it established in 2025 with a goal of delivering gigawatt-scale, secure, reliable infrastructure aimed at hyperscalers, AI firms, and multinational customers. Separately, Bloomberg reported TCS outlined plans late last year to enter the data center market and is targeting as much as 1.2 gigawatts of capacity. The companies said they intend to work with hyperscalers and AI companies to speed up data center construction in India, using the Helios blueprint as a repeatable template. 200 Megawatts: A Game-Changer For AI Capacity The headline number in Monday's announcement was up to 200 MW of AI infrastructure capacity supported by the joint blueprint, a scale that would matter for training and inference clusters that need large power and cooling envelopes. The same 200 MW figure also appears in the companies' expanded collaboration details tied to HyperVault's India build-out. AMD Price Action: Advanced Micro Devices Inc shares were down 1.79% at $203.60 during premarket trading on Tuesday, according to Benzinga Pro. Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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AMD and TCS Expand Partnership to Launch Helios Powered 200MW AI Infrastructure in India
Powered by AMD Instinct™ MI455X GPUs, next-generation AMD EPYC™ "Venice" CPUs, AMD Pensando™ Vulcano NICs and the open ROCm™ software ecosystem, "Helios" is purpose-built to deliver a rack-scale AI platform supporting sovereign AI factories. "Helios," combined with TCS' enterprise expertise and scale, will accelerate deployment and enhance operational efficiencies for enterprises. As part of this strategic collaboration, both companies will offer an AI‑ready data center blueprint supporting up to 200 MW of capacity and will work with hyperscalers and AI companies to accelerate data center build‑outs in India.
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TCS and AMD to bring state-of-the-art 'Helios' rack-scale AI architecture to India
Tata Consultancy Services and AMD have expanded their strategic collaboration. TCS, through its subsidiary HyperVault AI Data Center Limited (HyperVault), and AMD will co‑develop a rack‑scale AI infrastructure design based on the AMD "Helios" platform in support of India's national AI initiatives. Powered by AMD Instinct™ MI455X GPUs, next-generation AMD EPYC™ "Venice" CPUs, AMD Pensando™ Vulcano NICs and the open ROCm™ software ecosystem, "Helios" is purpose-built to deliver a rack-scale AI platform supporting sovereign AI factories. "Helios," combined with TCS' enterprise expertise and scale, will accelerate deployment and enhance operational efficiencies for enterprises. As part of this strategic collaboration, both companies will offer an AI‑ready data center blueprint supporting up to 200 MW of capacity and will work with hyperscalers and AI companies to accelerate data center build‑outs in India. Dr. Lisa Su, Chair and CEO, AMD, said, "AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure. With 'Helios,' we are delivering an open, rack-scale AI platform designed for performance, efficiency, and long-term flexibility. Together with TCS, we are enabling enterprises across India to deploy AI at scale today while building the compute foundation of tomorrow." * Krithivasan, MD and CEO, TCS,said,"This collaboration lays the foundation for AMD's first Helios powered AI infrastructure in India. By combining our strengths in AI, connectivity, sustainable power, and advanced data center engineering, we are poised to deliver state‑of‑the‑art infrastructure solutions for AI companies and global enterprises. We are thrilled to deepen our longstanding partnership with AMD as we expand our participation in the AI ecosystem - Infrastructure to Intelligence." TCS established HyperVault in 2025 with the vision of delivering GW-scale, secure, and reliable AI‑ready infrastructure for hyperscalers, AI companies, and global enterprises. This announcement builds on the recent strategic collaboration between TCS and AMD to help enterprises scale AI adoption and modernize hybrid environments.
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AMD - TCS Helios architecture explained: What 200MW of dedicated AI compute means
The announcement of the AMD and Tata Consultancy Services (TCS) partnership to bring the Helios rack-scale AI architecture to India marks a significant hardware milestone for the nation's technological landscape. Revealed on the opening day of the India AI Impact Summit 2026 at Bharat Mandapam, this collaboration isn't just a corporate deal but a foundational piece of the IndiaAI Mission. By offering an AI-ready data center blueprint that supports up to 200MW of capacity, the two companies are providing the physical infrastructure required to move India from AI experimentation to sovereign, population-scale deployments. Also read: India AI Summit: MIT's Ramesh Raskar says AI's real impact lies beyond tech At the heart of the Helios architecture is a high-performance stack designed for the most demanding frontier AI workloads. It is powered by the AMD Instinct MI455X GPUs, which are engineered for trillion-parameter model training and high-volume inference. These are paired with next-generation AMD EPYC "Venice" CPUs and AMD Pensando Vulcano NICs, all unified under the open ROCm software ecosystem. This specific combination allows for a "rack-scale" design, meaning entire server cabinets are optimized as a single unit to deliver massive compute density and energy efficiency. For context, a single Helios rack can deliver up to 2.9 exaflops of FP4 performance, providing a legitimate, open-standard alternative to proprietary GPU ecosystems. Also read: India AI Impact Summit 2026: SAHI, BODH and latest in Indian AI healthcare The 200MW figure is the most critical part of this "Infrastructure to Intelligence" vision. In the world of data centers, 200 megawatts is a massive power envelope, enough to run several large-scale "AI factories" simultaneously. By establishing this capacity through TCS's subsidiary, HyperVault AI Data Center Limited, the partnership ensures that Indian enterprises, startups, and government bodies have access to locally-hosted, high-performance compute. This directly supports the concept of Sovereign AI, where a nation's most sensitive data and critical models are processed on domestic soil, governed by local policy rather than being dependent on foreign cloud providers or international GPU supply chains. The timing of this launch during the India AI Impact Summit underscores its strategic importance. As world leaders and tech CEOs gather in New Delhi to discuss the "Seven Chakras" of AI, including Democratizing AI Resources and Safe & Trusted AI, the Helios platform provides the actual hardware teeth for these policy goals. While other discussions at the summit might focus on the ethics of AI, AMD and TCS are building the engine that will run India's future digital public goods, from multilingual services like Bhashini to advanced healthcare analytics, ensuring that the benefits of the AI boom are anchored firmly within the country. Also read: Future of work and AI jobs: What key Indian leaders predict and warn
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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.
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 enterprises5
. 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 AI3
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Source: Digit
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 research1
. 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"5
. The architecture delivers high compute density and advanced networking performance specifically tailored for sovereign AI factories and large-scale AI compute capacity needs4
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Source: Gadgets 360
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 centers1
. TCS will provide system integration, deployment, and management services, enabling customers to transform their IT infrastructure and improve operational efficiency1
. 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 template3
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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 capabilities2
. 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 engineering5
. 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 ecosystem3
. 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 India1
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Source: ET
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