Electronics manufacturing company Jabil and India’s Adani Enterprises have announced a partnership to develop an integrated AI and data center infrastructure manufacturing platform in India, targeting growing demand for AI-ready infrastructure from cloud providers and enterprise customers. The companies said the platform will serve the infrastructure requirements of global hyperscalers, colocation operators, and enterprise data centers. The initiative is designed to support increasing demand for hardware used in AI infrastructure deployments both in India and international markets. While the companies confirmed they are working on operational frameworks and formal documentation for the partnership, they did not disclose financial terms.
AI Infrastructure Platform Targets Growing Data Center Demand
The partnership arrives as AI adoption accelerates across industries, driving demand for servers, networking systems, power infrastructure, and other data center hardware. Jabil and Adani said the new platform will directly address what they described as “explosive” demand for AI-ready data center infrastructure. Industry investment in AI compute capacity continues to expand as enterprises and cloud providers deploy larger AI training and inference environments. India has emerged as a key market in this growth cycle, supported by increasing cloud adoption, government digital initiatives, and rising enterprise AI investments.
India’s Digital Infrastructure Investment Continues to Rise
According to the companies, India’s digital infrastructure ecosystem is expected to attract more than $50 billion in planned investments across data centers, cloud infrastructure, and AI-related technologies. The growth is creating new opportunities for domestic manufacturing and supply chain development, particularly as global operators seek localized infrastructure partners. The Jabil-Adani partnership aims to position India as a manufacturing hub for critical AI infrastructure components while supporting the country’s expanding digital economy.
Adani Expands AI and Data Center Ambitions
The announcement aligns with Adani Group’s broader strategy to expand its presence in digital infrastructure and AI-ready data centers. The conglomerate has previously outlined plans to invest $100 billion by 2035 in renewable energy-powered AI-ready data centers and supporting infrastructure. The company has increasingly focused on building an integrated ecosystem that combines energy generation, transmission infrastructure, and data center operations. As AI workloads become more power-intensive, access to reliable energy infrastructure has become a critical factor in data center development.
Manufacturing Becomes a Strategic AI Opportunity
The partnership also reflects a broader trend toward localization of AI infrastructure supply chains. As countries invest heavily in AI infrastructure, governments and enterprises are increasingly seeking domestic manufacturing capabilities for critical hardware. Building local production capacity can help reduce supply chain risks while supporting national digital infrastructure goals.
For Jabil, the partnership expands its role in the AI infrastructure market. The company, which counts Apple among its major customers, has benefited from growing demand for technology manufacturing and infrastructure services. Earlier this year, Jabil raised its annual forecast, citing strong demand linked to AI data center infrastructure projects.
Market Implications
The collaboration underscores India’s growing importance in the global AI infrastructure landscape. As hyperscalers and enterprises continue expanding AI deployments, demand for data center hardware and supporting infrastructure is expected to increase significantly. The partnership positions Jabil and Adani to participate in that growth through a manufacturing platform focused on AI-ready infrastructure. For India, the initiative supports broader efforts to strengthen domestic technology manufacturing capabilities while attracting investment into data centers, cloud services, and AI ecosystems.
