Powerful Partnership: AMD and TCS to Co‑Develop 200MW Helios AI Data Centre Architecture

Powerful Partnership: AMD and TCS to Co‑Develop 200MW Helios AI Data Centre Architecture

In a significant development for global and Indian AI infrastructure, Advanced Micro Devices (AMD) and Tata Consultancy Services (TCS) have expanded their strategic collaboration to co‑develop the Helios AI Data Centre Architecture blueprint supporting up to 200MW of capacity. This partnership brings together AMD’s cutting‑edge AI compute technology with TCS’s enterprise engineering and deployment expertise to accelerate AI adoption at scale and provide enterprises with an advanced 200MW AI‑ready data centre blueprint.

Introduction

Artificial intelligence is rapidly shifting from experimentation to mission‑critical enterprise and sovereign applications. For AI workloads such as large‑scale training and inference, conventional data centres are struggling to keep up. The Helios AI Data Centre Architecture is designed to meet this demand by offering a scalable rack‑scale approach optimized for performance, energy efficiency, and flexibility.

By combining AMD’s high‑performance compute platforms with TCS’s systems integration and infrastructure services, this collaboration aims to deliver a comprehensive blueprint for a 200MW AI data centre — helping enterprises and hyperscalers deploy AI infrastructure faster and more efficiently.

Background: Why This Matters

The AI landscape is increasingly driven by large‑scale computing demands. Traditional data centres are being stretched by the computational intensity of AI, especially for training models with billions or trillions of parameters. To address this gap, AMD has developed the Helios AI Data Centre Architecture, a rack‑scale platform that brings together high‑performance processors, accelerators, networking and open software.

India has also placed significant emphasis on AI innovation and sovereign computing. By introducing a 200MW blueprint based on the Helios AI Data Centre Architecture, AMD and TCS are positioning India to support its national AI initiatives, sovereign AI factories, and AI‑driven enterprises with state‑of‑the‑art compute infrastructure.

Details of the Collaboration

AMD’s Role

AMD is contributing its high‑performance compute technologies to the Helios AI Data Centre Architecture. This includes:

• AMD Instinct™ MI455X GPUs, designed for compute‑intensive AI training and inference workloads
• Next‑generation AMD EPYC™ “Venice” CPUs, offering optimized performance for server environments
• AMD Pensando™ Vulcano NICs for advanced networking
• The open ROCm™ software ecosystem for flexibility and interoperability

These technologies work together to deliver a rack‑scale platform built for high throughput and energy efficiency.

AMD’s strategy is to provide a modular, rack‑level design that supports both hyperscale and enterprise AI deployments — enabling organizations to move beyond siloed servers to integrated AI‑ready infrastructure.

TCS’s Contribution

TCS brings deep enterprise systems integration and service deployment experience to the collaboration. Through its subsidiary HyperVault AI Data Center Limited, TCS will help co‑develop the Helios AI Data Centre Architecture blueprint and translate it into actionable engineering and deployment plans.

TCS’s role includes:

• Collaborative design of rack‑scale infrastructure based on Helios principles
• Integration of compute, networking, storage, and power distribution systems
• Operational frameworks for data centre deployment, security, manageability and lifecycle support
• Assistance to enterprises and hyperscalers in realizing AI‑ready data centre builds

This combination of AMD’s hardware innovations with TCS’s design and implementation expertise is central to making the Helios AI Data Centre Architecture accessible to a broad set of customers.

Key Features of the Helios AI Data Centre Architecture

1. Rack‑Scale Modular Design
   The Helios AI Data Centre Architecture adopts a rack‑level design that integrates compute, networking, storage, and power systems into modular units. This enables flexibility, faster deployment, and easier scalability across multiple racks.
2. High‑Performance Compute
   With AMD Instinct™ GPUs and EPYC™ CPUs, the Helios AI Data Centre Architecture can support demanding AI training and inferencing workloads across large datasets.
3. Support for Sovereign AI Initiatives
   The design is purpose‑built to support sovereign AI factories and national AI programs. This makes the Helios AI Data Centre Architecture a strategic fit for regions and enterprises focused on data sovereignty.
4. Energy Efficiency at Scale
   By optimizing power delivery and cooling, the Helios AI Data Centre Architecture supports up to 200MW capacity with efficient energy use — a critical factor for modern mega data centres.
5. Open Software Ecosystem
   The architecture leverages open platforms such as ROCm™ software, which allows flexibility and interoperability with multiple AI frameworks and developer tools.

Industry Impact

The collaboration between AMD and TCS around the Helios AI Data Centre Architecture is likely to have significant impact:

• Accelerating AI Initiatives Across Industries: Organizations that previously faced barriers in deploying large AI infrastructure will now have a blueprint tailored for their needs.
• Enhanced Competitiveness in Data Infrastructure: The partnership positions India as a hub for cutting‑edge AI data centres and supports competition with global infrastructure players.
• Catalyst for Innovation: By offering an open, scalable design, the Helios AI Data Centre Architecture can encourage innovation from system integrators, hyperscalers and developers who build on top of this platform.

Industry analysts see the collaboration as an important step in enabling enterprises to move from AI prototypes to full production environments at scale.

What Experts Are Saying

Executives from both companies have highlighted the importance of the Helios AI Data Centre Architecture:

• Dr. Lisa Su, Chair and CEO of AMD, emphasized that AI adoption is rapidly transitioning to large‑scale deployments and requires new infrastructure blueprints like Helios to support this shift effectively.
• K. Krithivasan, MD & CEO of TCS, noted that this collaboration marks a foundational step toward building secure, reliable, and scalable AI data centres that serve hyperscalers and enterprise customers across sectors.

Also Read: India Set to Attract Over $200 Billion in AI Investments, IT Minister Announces

Future Outlook

The AMD–TCS partnership around the Helios AI Data Centre Architecture is expected to influence future AI infrastructure trends. Enterprises across industries — from finance to healthcare, automotive to manufacturing — will likely adopt Helios‑based designs to build unified compute infrastructure.

Additionally, as demand for sovereign AI capabilities grows, the availability of a 200MW data centre blueprint will help countries and organizations plan long‑term AI infrastructure investments with confidence.

Looking forward, the success of this collaboration could pave the way for even larger AI infrastructure projects and stimulate ecosystems built around AMD’s Helios platform.

Conclusion

The expanded partnership between AMD and TCS to co‑develop the Helios AI Data Centre Architecture promises a transformative impact on how AI infrastructure is designed and deployed. By blending AMD’s high‑performance computing technology with TCS’s integration and deployment capabilities, the 200MW blueprint positions enterprises to embrace the next wave of AI at scale.

As AI continues to proliferate across industries, the Helios AI Data Centre Architecture stands poised to serve as a cornerstone for scalable, efficient, and future‑ready data centre design.