India Plans Domestic GPU in 24 Months to Boost AI Chips 2026

India has announced plans to develop a domestic GPU in approximately 24 months as part of its Semiconductor Mission 2.0, aiming to reduce dependence on foreign suppliers for AI hardware. The initiative, revealed by S. Krishnan, Secretary of the Ministry of Electronics and Information Technology (MeitY), also seeks to commercialize indigenous RISC-V processors like SHAKTI and VEGA.

The move signals India's ambition to move beyond software services and into high-value hardware design, a critical step for AI infrastructure. But the country faces significant challenges in catching up with established players.

Why India Needs Its Own GPU

GPUs are the workhorses of artificial intelligence, capable of performing massive parallel calculations needed for training and running AI models. Currently, India relies heavily on international suppliers for these chips, creating a strategic vulnerability.

As AI adoption grows across industries, the demand for GPUs is skyrocketing. By developing a domestic GPU, India aims to secure its supply chain and foster a local ecosystem. The government sees this as essential for digital sovereignty and economic growth.

The 24-Month Timeline: Ambitious but Necessary

The 24-month target is aggressive. Designing a competitive GPU from scratch typically takes years and requires deep expertise in chip architecture, manufacturing, and software support. However, India's MeitY is confident that with focused effort and collaboration, the goal is achievable.

S. Krishnan emphasized that the project will leverage existing R&D capabilities and partnerships. The government plans to involve academia, startups, and established firms to accelerate development.

Key Components of the Plan

• Semiconductor Mission 2.0: Expanded funding and incentives for chip design and manufacturing.
• RISC-V push: Commercializing SHAKTI and VEGA processors to build a foundation for GPU development.
• Public-private partnerships: Collaborations to share expertise and resources.
• Ecosystem building: Creating software tools and support for domestic chips.
• Global engagement: Attracting foreign investment and technology transfer.

RISC-V: The Foundation for India's Chip Ambitions

RISC-V is an open-source instruction set architecture that allows companies to design custom processors without licensing fees. India has been investing in RISC-V through projects like SHAKTI (developed at IIT Madras) and VEGA (by C-DAC).

These processors are already being used in embedded systems and research. The government now wants to commercialize them, creating a market for Indian-designed chips. A successful RISC-V ecosystem could provide the building blocks for a domestic GPU, which requires similar design expertise.

SHAKTI and VEGA: India's RISC-V Flagships

SHAKTI is a family of processors ranging from microcontrollers to server-class chips. VEGA, on the other hand, focuses on high-performance computing. Both are developed indigenously and represent India's growing chip design capabilities.

Commercializing these processors is not just about technology; it's about creating a viable business model. The government is working on incentives for manufacturers to adopt Indian-designed chips.

Challenges Ahead

Despite the optimism, India faces hurdles. GPU design requires advanced semiconductor manufacturing, which India currently lacks. The country is building fabrication plants, but they are not yet operational.

Additionally, the software ecosystem for GPUs is dominated by NVIDIA's CUDA. Developing a competitive software stack is as crucial as the hardware itself. India will need to invest in software development and developer outreach.

Comparison of Global GPU Players

India's entry would add a new player to this list, but catching up with these giants will take time and sustained investment. The background to this story is set out in Openchip: Catalan RISC-V Chipmaker Gets €115M Government Boost. A related thread runs through Maker Builds Homemade GPU With 8,192 RISC-V Microcontrollers. Earlier coverage in China's RISC-V Strategy to Bypass US Sanctions Gets US Help shows how the argument developed.

What This Means for India's Tech Industry

A domestic GPU would be a game-changer for Indian startups and researchers who currently face high costs and supply constraints. It could also attract global companies to set up AI data centers in India. A closer look at the same subject appears in Nvidia H200 China: Beijing Pushes Domestic Chips as 100K GPUs Arrive. Anyone following the wider picture can start with Lando Norris Launches LN4 Fusion Team to Develop Young F1 Drivers. The same theme surfaces in Alibaba's RISC-V Chips Hit 6 Billion Units in AI Push, which takes a different angle.

Moreover, the project aligns with India's broader push for self-reliance in critical technologies. The government hopes to replicate the success of its software industry in hardware. Context on how this played out before sits in Ai Video: latest articles.

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