The Indian AI landscape is poised for a major change with AMD and Tata Consultancy Services (TCS) teaming up to bring the latest Helios rack, scale AI architecture to enterprises and data centers in India.
The move outlines a deployment plan for up to 200 MW of AI, ready compute infrastructure, which is anticipated to support high, performance AI training and inference workloads.
The collaboration announcement, made on February 16, 2026, marks a significant achievement for both firms as they strive to extend AI beyond test pilots to production, grade infrastructures capable of hosting generative AI models, sovereign AI factories, and industrial, scale compute operations.
What Is “Helios” and Why It Matters
At the center of this collaboration is the Helios rack-scale AI platform, which is an open and highly dense compute platform developed by AMD for next-generation AI workloads. This platform is designed with a combination of AMD Instinct MI455X GPUs, next-generation AMD EPYC “Venice” CPUs, and AMD Pensando Vulcano NICs. Helios is designed to bring compute, networking, and software together in a cohesive platform that is scalable and optimized for AI.
In contrast to more conventional server configurations, which may have difficulty coping with the requirements of machine learning, rack-scale architectures such as Helios integrate multiple compute resources and networking capabilities into standardized racks that can be quickly deployed and scaled within a data center. Helios also utilizes the open ROCm software ecosystem, which provides greater flexibility and helps prevent vendor lock-in.
Strategic Collaboration with TCS
Under the pact, TCS, through its data center subsidiary HyperVault AI Data Center Limited, will co-develop and drive adoption of Helios-based infrastructure in India. The collaboration means that India’s burgeoning enterprise AI market will gain access not just to powerful hardware platforms, but to a framework for integrating those platforms into real-world operations.
TCS’s CEO K. Krithivasan said the partnership “lays the foundation for AMD’s first Helios-powered AI infrastructure in India,” combining AMD’s hardware capabilities with TCS’s data center and systems engineering expertise.
A Turning Point for AI Adoption in India
For years, companies testing AI have faced a challenge: scaling from successful pilots to full-scale production-grade deployments. This requires not only sophisticated algorithms but also infrastructure that can support heavy compute workloads. The Helios system with its rack-scale architecture and high-performance hardware solves this problem exactly.
The design for up to 200 MW of AI compute power is a demonstration of the company’s commitment to enabling the development of sovereign AI factories, which are internal AI environments that allow organizations and governments to develop their own AI models. This is in line with the focus of India on technological self-reliance.
Also Read: Cisco Unveils Silicon One G300 to Power Next Generation AI Data Centers
Impact on the AI Industry
From an overall industry outlook, the AMD-TCS initiative marks the beginning of a new era in the adoption of AI infrastructure:
- Accelerating the Adoption of AI: Enterprises can greatly reduce the time of implementing AI at scale if they are given a customizable, rack, scale reference design along with enterprise implementation assistance. This will pave the way for industries such as finance, healthcare, manufacturing, and energy to adopt futuristic AI solutions readily.
- Stimulating the Local AI Ecosystem: Having a locally available, scalable AI infrastructure could motivate Indian startups and research organizations to design and deploy more sophisticated models without relying on the cloud.
- Competitive Impetus in AI Infrastructure: At present, the AI infrastructure industry is dominated by a small number of leaders. A move to open standards by AMD through Helios might give enterprises a choice of not going with the closed ecosystems, which in turn can reduce costs.
Beyond India, Helios has already attracted interest from major infrastructure partners worldwide as a scalable AI foundation notably through collaborations like those announced by Hewlett Packard Enterprise (HPE) for cloud service providers and neocloud operators.
What This Means for Businesses
For companies that function in the AI domain, the collaboration between AMD and TCS can be revolutionary:
- Increased Efficiency: Rack-scale architectures such as Helios are built with the focus of achieving maximum efficiency. This means that companies will incur lower costs for each AI task and will also be able to process more tasks in a short span of time.
- Scalability: Companies will be able to scale their AI capabilities across various departments and products, ranging from customer service and analytics to automation and research, thanks to scalable infrastructure.
- Innovation Enablement: Companies will be able to innovate faster and unlock new AI applications that were not feasible to implement due to high costs and complexity.
Looking Ahead
As AI continues to transform various sectors around the world, infrastructure collaborations such as the one between AMD and TCS represent a very important phase in the development of compute infrastructure. While the project aims to promote AI in India, it also represents an important step in the direction of the democratization of powerful AI systems.
