Scaling AI-ready infrastructure to position India as a global AI and data centre hub

AMIT LUTHRA
MANAGING DIRECTOR - INDIA, LENOVO ISG

“As India’s data centre industry gears up to expand fivefold by 2030, fuelled by AI, cloud adoption, rising data volumes, and data localisation requirements, Lenovo is strengthening the nation’s digital backbone through local manufacturing, advanced engineering, and hybrid production-ready solutions. We have commenced production of AI-optimised servers at our Puducherry facility and operate an Infrastructure R&D lab in Bengaluru to design, validate, and customise data centre systems for India’s operational, security, and scale requirements. Our latest Think Systems and Think Edge inferencing servers are purpose-built for every inferencing workload and vertical, featuring advanced memory, networking, and 5x GPU performance. In addition, our Hybrid AI Advantage and Hybrid AI Factory frameworks enable organisations to deploy pre-validated AI platforms that integrate infrastructure, software, orchestration, and services, accelerating outcomes while reducing deployment risk and ensuring AI-ready hyperscale capacity.

India is steadily positioning itself as a strategic force in the global AI infrastructure landscape as enterprises move from experimentation to large-scale, real-world inferencing. This shift is increasing demand for scalable, secure, and energy-efficient compute platforms across industries. With the global AI inference infrastructure market projected to grow from $5 billion in 2024 to approximately $48.8 billion by 2030, India’s deep engineering talent, supportive policy environment, and rising hyperscale investments position it to play a larger role in global infrastructure development and solution innovation. Energy-optimised technologies such as Lenovo’s 6th-generation Neptune liquid-cooling systems can reduce data centre energy consumption by up to 40% while enabling high-density AI workloads, which is critical as AI moves into mass deployment. With these capabilities, India can emerge as a hub for building scalable and secure AI computing platforms and exporting infrastructure expertise and digital solutions to global markets.

Building a globally competitive, AI-ready data centre ecosystem will require strong collaboration among cloud service providers, technology companies, system integrators, and software innovators. Initiatives such as AI Innovators and Hybrid AI Factory partnerships, including pre-validated platforms with Nutanix, demonstrate how integrated stacks can help organisations transition rapidly from pilot AI projects to production inferencing environments. Sovereign AI data centre frameworks developed with strategic partners further support secure, regulation-aligned digital infrastructure, while collaboration with government bodies, academia, and sustainability partners will remain essential for talent development, energy efficiency, and greener data centre operations at scale.”