{"id":61312,"date":"2026-02-20T14:25:04","date_gmt":"2026-02-20T11:25:04","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=61312"},"modified":"2026-02-20T14:33:48","modified_gmt":"2026-02-20T11:33:48","slug":"amd-helios-platform-tcs-india-ai-infrastructure-2","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/amd-helios-platform-tcs-india-ai-infrastructure-2\/","title":{"rendered":"AMD and TCS Expand Collaboration to Deploy Helios Rack-Scale AI Architecture in India"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The AMD Helios platform is set to power a major AI infrastructure expansion in India, as AMD and Tata Consultancy Services (TCS) announced an expanded strategic collaboration on February 20, 2026. The partnership will bring a 200-megawatt deployment of the AMD &#8220;Helios&#8221; rack-scale AI architecture to support India&#8217;s national AI initiatives and sovereign AI factories.<\/p><p class=\"wp-block-paragraph\">TCS will execute the initiative through its subsidiary, HyperVault AI Data Center Limited (HyperVault), which TCS established in 2025. The two companies will co-develop a rack-scale AI infrastructure design based on the &#8220;Helios&#8221; platform. Moreover, both companies will work with hyperscalers and AI companies to accelerate data center buildouts across India.<\/p><h2 class=\"wp-block-heading\">AMD Helios Platform: Technical Specifications<\/h2><p class=\"wp-block-paragraph\">The AMD Helios platform integrates AMD Instinct MI455X GPUs, next-generation AMD EPYC &#8220;Venice&#8221; CPUs, AMD Pensando Vulcano NICs, and the open ROCm software ecosystem. Specifically, the architecture is purpose-built to deliver rack-scale AI performance for sovereign AI factory deployments. The platform targets improvements in operational efficiency, time-to-deployment, and enterprise impact across industries.<\/p><h2 class=\"wp-block-heading\">Scope of the India Deployment<\/h2><p class=\"wp-block-paragraph\">As part of the collaboration, AMD and TCS will offer an AI-ready data center blueprint supporting up to 200 MW of capacity. HyperVault was established with the vision of delivering gigawatt-scale, secure, and reliable AI-ready infrastructure. The deployment targets hyperscalers, AI companies, and global enterprises operating in India.<\/p><p class=\"wp-block-paragraph\">This announcement builds on a recent strategic collaboration between TCS and AMD focused on helping enterprises scale AI adoption and modernize hybrid environments. Consequently, the expanded agreement positions India as a key market for large-scale AI compute infrastructure.<\/p><h2 class=\"wp-block-heading\">Leadership Statements<\/h2><blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>&#8220;AI adoption is accelerating from pilots to large-scale deployments, and that shift requires a new blueprint for compute infrastructure. With &#8216;Helios,&#8217; 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.&#8221;<\/p><cite>Dr. Lisa Su, Chair and CEO, AMD<\/cite><\/blockquote><blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>&#8220;This collaboration lays the foundation for AMD&#8217;s first &#8216;Helios&#8217; powered AI infrastructure in India. By combining our strengths in AI, connectivity, sustainable power, and advanced data center engineering, we are poised to deliver infrastructure solutions for AI companies and global enterprises.&#8221;<\/p><cite>K. Krithivasan, MD and CEO, TCS<\/cite><\/blockquote><h2 class=\"wp-block-heading\">Background and Market Context<\/h2><p class=\"wp-block-paragraph\">AMD (NASDAQ: AMD) describes itself as a leader in high-performance and AI computing. TCS (BSE: 532540, NSE: TCS) operates as a global provider of IT services, consulting, and business solutions. The two companies have maintained a long-standing partnership that this agreement formally deepens.<\/p><p class=\"wp-block-paragraph\">India&#8217;s national AI initiatives have driven significant demand for domestic compute infrastructure. Furthermore, the 200 MW deployment scale signals a substantial commitment to building sovereign AI capacity within the country. The collaboration reflects a broader industry trend of enterprises moving AI workloads from pilot programs to full-scale production environments.<\/p><h2 class=\"wp-block-heading\">Future Outlook<\/h2><p class=\"wp-block-paragraph\">HyperVault&#8217;s long-term vision targets gigawatt-scale AI-ready infrastructure, suggesting the 200 MW deployment represents an initial phase of a larger buildout. In addition, the open ROCm software ecosystem underpinning the AMD Helios platform is designed to provide enterprises with long-term flexibility as AI workloads evolve. Both companies indicated they will continue expanding their joint participation in India&#8217;s growing AI infrastructure ecosystem.<\/p>","protected":false},"excerpt":{"rendered":"<p>AMD and TCS have expanded their strategic collaboration to deploy the AMD Helios rack-scale AI architecture in India, targeting a 200 MW AI-ready data center capacity.<\/p>\n","protected":false},"author":8,"featured_media":61311,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"{\"x_hook\":\"AMD and TCS are bringing the Helios rack-scale AI platform to India with a 200 MW deployment. The deal targets sovereign AI factories and enterprise customers nationwide.\",\"x_takeaways\":\"Key Details:\\n\ud83d\udd39 AMD Helios platform powers up to 200 MW of AI-ready data center capacity in India\\n\ud83d\udd39 TCS subsidiary HyperVault will co-develop the rack-scale infrastructure with AMD\\n\ud83d\udd39 The platform uses AMD Instinct MI455X GPUs, EPYC Venice CPUs, and the open ROCm software 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