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L&T shares rise after Nvidia partnership to build India’s largest AI factory

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Shares of Larsen & Toubro rose after the engineering and infrastructure giant announced a strategic partnership with NVIDIA to build India’s largest gigawatt-scale AI factory. The announcement, made during the India AI Summit, triggered investor optimism, with L&T stock climbing nearly 1 percent intraday to around ₹4,310.5, reflecting strong market confidence in the company’s expansion into sovereign AI infrastructure and high-performance computing.

The L&T Nvidia AI factory marks a significant step toward building production-scale artificial intelligence infrastructure in India. The proposed venture, aligned with the India AI Mission, aims to create sovereign, scalable, and globally competitive AI infrastructure capable of handling advanced workloads across sectors such as manufacturing, healthcare, financial services, and public administration. The collaboration combines L&T’s engineering and infrastructure execution expertise with NVIDIA’s AI computing platforms, including GPUs, CPUs, accelerated networking, storage systems, and enterprise-grade AI software.

L&T Nvidia AI factory strengthens India’s sovereign AI infrastructure

The L&T Nvidia AI factory is designed to deliver secure, sovereign AI infrastructure that enables enterprises and government institutions to build, train, and deploy AI models within India while maintaining interoperability with global ecosystems. According to the company’s exchange filing, the facility will provide AI-ready datacenter infrastructure and computing platforms capable of supporting large-scale, high-density AI workloads, positioning India as a strategic global hub for AI deployment and innovation.

As part of the initiative, L&T will scale NVIDIA GPU cluster deployment at its Chennai datacenter campus up to 30 megawatts capacity within a 300-acre gigawatt-scalable facility. Additionally, the company is building a new 40-megawatt AI datacenter in Mumbai to support expanding AI demand. This infrastructure expansion reflects a growing trend where enterprises are transitioning from experimental AI pilots to full production-scale deployments, requiring robust and scalable computing environments.

Industry analysts view the L&T Nvidia AI factory as a major milestone in India’s digital transformation strategy. Experts suggest that sovereign AI infrastructure is becoming increasingly critical as countries seek to control sensitive data, ensure regulatory compliance, and reduce dependence on foreign computing infrastructure. By building AI infrastructure domestically, India can strengthen data sovereignty while enhancing its competitiveness in global AI development.

AI infrastructure partnership boosts investor confidence and stock sentiment

The announcement had a positive impact on investor sentiment toward Larsen & Toubro shares, reinforcing confidence in the company’s diversification into high-growth digital infrastructure segments. Market observers noted that the L&T Nvidia AI factory positions the company at the center of India’s expanding AI ecosystem, which is expected to attract hyperscalers, multinational corporations, and government-backed digital initiatives.

From a stock market perspective, the partnership reflects L&T’s strategic pivot beyond traditional engineering and construction into next-generation infrastructure segments such as AI, cloud computing, and digital platforms. Analysts believe such moves could support long-term revenue growth and valuation expansion, especially as global AI infrastructure spending continues to surge.

NVIDIA leadership also emphasized that artificial intelligence is driving the largest infrastructure buildout in history, with every country investing in AI capabilities. The company indicated that its collaboration with Larsen & Toubro would support India’s ambition to democratize AI access and strengthen its position as a global digital infrastructure hub.

Gigawatt-scale AI factory could reshape India’s digital economy

The L&T Nvidia AI factory represents a foundational investment that could reshape India’s digital economy by enabling advanced AI applications across industries. The facility will support hyperscalers, enterprises, and public sector organizations, delivering enterprise-grade AI services with predictable performance, scalability, and security.

Experts note that sovereign AI infrastructure is increasingly viewed as critical national infrastructure, similar to power grids and telecommunications networks. By investing in gigawatt-scale AI datacenters, Larsen & Toubro is positioning itself as a key enabler of India’s AI-driven economic transformation.

The partnership also underscores India’s growing importance in the global AI race, as governments and corporations accelerate investments in computing infrastructure to support AI-driven innovation. With strong investor interest and strategic alignment with national digital initiatives, the L&T Nvidia AI factory could become a cornerstone of India’s AI ecosystem and a long-term growth driver for Larsen & Toubro shares.

Meta Expands Nvidia Partnership with Commitment to “Millions” of AI Chips

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Meta Platforms Inc. has strengthened its partnership with Nvidia Corp., agreeing to deploy millions of Nvidia processors and networking systems over the next several years. The move further cements Meta’s reliance on Nvidia as it rapidly expands its artificial intelligence infrastructure.

Meta, which accounts for roughly 9% of Nvidia’s revenue, will now also incorporate Nvidia’s Grace central processing units (CPUs) in standalone servers, a first for the company. These servers are designed to handle high-performance AI workloads independently, without relying solely on Nvidia’s AI accelerators.

The rollout will include current-generation Blackwell accelerators as well as the forthcoming Vera Rubin AI accelerators, providing the foundation for Meta’s next-generation AI clusters.

“We’re excited to expand our partnership with Nvidia to build leading-edge clusters using their Vera Rubin platform to deliver personal superintelligence to everyone in the world,” said Meta CEO Mark Zuckerberg.

Strategic Importance Amid Shifting AI Landscape

The agreement underscores Meta’s commitment to Nvidia at a time when rivals, including AMD and Intel, are offering alternatives, and many tech companies are exploring in-house AI chips. Nvidia’s systems are still widely regarded as the benchmark for AI infrastructure, generating hundreds of billions of dollars in revenue for the chipmaker.

Following the announcement, Nvidia and Meta shares rose roughly 1%, while AMD fell about 3% in late trading.

Scale and Cost of Deployment

Nvidia’s AI accelerators, essential for developing and running AI models, cost an average of $16,061 per chip, according to IDC estimates. Deploying millions of these processors could cost Meta over $16 billion, not including additional networking equipment or newer-generation chips. Meta was already Nvidia’s second-largest customer, spending about $19 billion in the previous fiscal year.

Ian Buck, Nvidia’s Vice President of Accelerated Computing, emphasized that only Nvidia offers the breadth of hardware and software ecosystem needed to lead in AI.

“Grace CPUs are an excellent back-end data center solution. They can handle a wide range of workloads and deliver twice the performance per watt on back-end tasks compared to alternatives,” said Buck.

Meta’s AI Infrastructure Expansion

Meta has made AI its top priority, pledging hundreds of billions of dollars in infrastructure spending. For 2026, the company plans to invest in multiple gigawatt-scale data centers across the U.S., including in Louisiana, Ohio, and Indiana. One gigawatt of capacity can power approximately 750,000 homes.

The inclusion of Nvidia CPUs in standalone servers represents a shift into traditional data center territory, previously dominated by Intel and AMD, and provides an alternative to in-house chips developed by major operators like Amazon Web Services.

Meta will use the new systems for AI model training, data processing, and machine learning workloads, both internally and via Nvidia-powered computing capacity offered to other companies.

“There are many different types of workloads for CPUs. What we’ve found is Grace is excellent for back-end operations, handling behind-the-scenes computing tasks efficiently,” said Buck.

Looking Ahead

As Meta accelerates its AI ambitions, the expanded partnership with Nvidia provides the company with cutting-edge hardware and software integration, positioning it to remain a dominant force in the global AI ecosystem.