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Home » Is Smart Hardware India’s Opportunity to Lead the Global Race in GenAI?

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Is Smart Hardware India’s Opportunity to Lead the Global Race in GenAI?

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Last updated: April 29, 2025 2:01 pm
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Is Smart Hardware India's Opportunity to Lead the Global Race in GenAI?
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India’s Hardware Renaissance: The Rise of AI-Driven Innovation

After years of being overshadowed by software, hardware is making a comeback and is now at the forefront of India’s digital revolution. According to a new Deloitte report, the surge in Generative AI (GenAI) applications is driving this renaissance, reversing the long-held belief that computing infrastructure was a solved problem.

The report, titled "Tech Trends 2025 India Perspective," highlights how hardware is being reengineered to meet the demands of AI models that require massive processing power, speed, and energy efficiency. This is evident across various sectors such as healthcare, manufacturing, agriculture, finance, and beyond, where AI hardware is enhancing operational efficiency and helping India leapfrog into a new phase of technological growth.

India’s semiconductor market is expected to reach 80.3 billion by FY28, driven by demand for chips that power AI across industries. The IndiaAI Mission, with an outlay of over 10,000 crore, aims to provide access to 18,000+ GPUs, making India the home of the world’s most affordable compute, with costs as low as $1 per hour compared to $2.53 globally.

Public-private initiatives are multiplying. A leading Indian electronics manufacturer is building semiconductor fabs in Gujarat and Assam, while another conglomerate is setting up a 3 GW AI data center powered by green energy. As demand shifts from general-purpose CPUs to specialized processors like GPUs, NPUs, and neuromorphic chips, India is also seeing a spike in domestic innovation. These chips are powering real-time AI use cases in sectors like healthcare, autonomous driving, urban surveillance, and smart factories.

India is witnessing a transition from centralised cloud computing to on-premises and edge AI systems, particularly in banking, defense, and healthcare. Organisations are deploying custom AI hardware stacks, especially NPUs, to lower latency and gain data control. In manufacturing, AI hardware is enabling autonomous robotics and predictive maintenance. The rise of digital twins is driving demand for high-performance local computing for immersive simulations.

Spatial computing, which merges digital content with the physical world, enabling natural interactions with the digital world, is one of India’s most transformative trends. It blends AI, AR/VR/MR, and real-time sensors to enable natural interactions with the digital world, no mouse or keyboard needed. India’s spatial computing market is projected to hit $11.3 billion by 2030, with an annual growth rate of 24.6%.

Across industries, the applications are multiplying:

  • Healthcare: VR labs in Chennai train medical students on virtual organs.
  • Automotive: AI-driven platforms allow customers to customise cars in 360 degrees before production.
  • Retail: VR-based gamified shopping experiences convert engagement into in-store footfalls.
  • Agriculture: Smart digital twins simulate farming conditions to enhance crop yields.
  • Urban planning: The Sangam Digital Twin initiative integrates 5G, AI, and XR to redesign cities in real time.

These experiences are made possible by purpose-built AI hardware, including motion-sensing chips, spatial audio processors, and real-time rendering units. India’s start-up ecosystem is racing to fill hardware gaps, with the Experiential Technology Innovation Centre (XTIC) at IIT Madras building a 1,000-member XR start-up consortium to develop affordable components like haptic gloves, spatial displays, and smart headsets, many of which are designed for rural India.

However, challenges persist. Hardware for AI is energy-intensive, with India’s data center power demand expected to grow by 160 per cent by 2030, prompting discussions around small nuclear units and direct power supply lines for AI clusters. Regulation is another grey area, especially for spatial computing, which collects sensitive real-world data. India lacks a dedicated regulator for XR and immersive tech, leaving gaps around data governance and consumer safety.

Despite these challenges, the report indicates that AI is no longer just a software challenge. As GenAI demands more from the physical layer, hardware is now the front line of innovation. With hardware evolving from a commodity to a competitive edge, India’s ability to design, manufacture, and deploy AI-optimized chips and devices could define its position in the global tech hierarchy.

Reference : https://www.business-standard.com/technology/tech-news/is-smart-hardware-india-s-opportunity-to-lead-the-global-race-in-genai-125042901158_1.html

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