As global demand for AI infrastructure rises, AMD is preparing to deploy its latest GPU-based high-performance computing platform, Helios, across multiple countries, including India. The rollout is expected to begin in the second half of 2026, according to a senior company official.
The Helios platform is designed to tap into the growing need for AI-driven data centres. A single rack integrates 72 interconnected MI455X accelerators, delivering up to 2.9 exaflops of FP4 compute performance per rack. The deployment timeline applies to global customers, with India included in the initial phase.
The surge in AI adoption has significantly increased demand for GPUs, with Nvidia currently holding over 80% market share. AMD’s Helios platform will compete with Nvidia’s Vera Rubin POD, which claims a higher compute speed of 3.6 exaflops but comes at a comparatively higher cost.
To strengthen its presence in India, AMD has partnered with Tata Consultancy Services to co-develop a rack-scale AI infrastructure design based on the Helios platform. This collaboration aims to support India’s national AI initiatives by offering an AI-ready data centre blueprint with up to 200 MW capacity. The companies will also work with hyperscalers and AI firms to accelerate data centre expansion.
Several major players, including Google, Amazon, Microsoft, Reliance Industries, and Bharti Airtel, have announced plans to build new data centres in India with a combined investment of nearly USD 200 billion.
AMD is also promoting open architecture for data centre development, positioning it as an alternative to proprietary systems used by competitors. Archana Vemulapalli, corporate vice president of global enterprise sales at AMD, said that as AI shifts from pilot projects to real-world deployment, India’s advantage lies in its strong talent base and expanding AI infrastructure.
She highlighted that India has a large pool of engineers, researchers, and developers, supported by an open-source culture and growing collaboration between industry, academia, and national AI initiatives. She added that countries leading in AI will be those that combine skilled talent with scalable platforms to move innovations from research to large-scale deployment.
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