Google has announced a major expansion of its AI infrastructure in India with the launch of its sixth-generation Trillium Tensor Processing Units (TPUs) and the introduction of sovereign-ready Gemini capacity for Indian users. The move underscores the company’s commitment to deepening its AI and cloud footprint in one of the fastest-growing digital economies in the world.
The initiative aims to boost India’s local AI capabilities, strengthen enterprise adoption, and support academic research in emerging areas such as generative AI, machine learning, and Indic language technologies. Google Cloud’s expanded infrastructure is expected to provide enterprises, startups, and public institutions in India with access to advanced computational power while ensuring compliance with local data regulations.
Accelerating India’s AI readiness
According to Google, the Trillium TPUs are designed to deliver up to 67 percent better performance per chip compared to the previous generation. These high-performance AI accelerators will be made available through Google Cloud, enabling Indian organizations to train and deploy large-scale AI models faster and more efficiently.
The move aligns with Google’s broader strategy to help India become self-reliant in AI infrastructure while reducing dependence on imported compute systems. The deployment of Trillium TPUs in India will allow businesses to build, test, and run AI models locally, addressing growing concerns around data privacy and sovereignty.
Rick Harshman, Vice President of Google Cloud Asia Pacific, said in a statement, “India’s AI transformation requires the right combination of talent, infrastructure, and policy support. By bringing our Trillium TPUs and sovereign-ready Gemini capacity to India, we are enabling innovation that is both globally competitive and locally relevant.”
Empowering education and research
As part of this expansion, Google has partnered with IIT Madras to power Indic Arena, a new AI platform designed to accelerate multilingual model research and open-source collaboration. The initiative will support the development of Indian language AI models, making digital tools more accessible to users across diverse linguistic backgrounds.
IIT Madras researchers will have access to Google Cloud’s advanced AI stack, including Trillium TPUs and Gemini APIs, to build locally relevant AI solutions. The collaboration aims to nurture academic innovation and bridge the talent gap in AI research by providing students and researchers with cutting-edge computational resources.
In a joint statement, Google and IIT Madras emphasized that this partnership will foster a stronger ecosystem for open AI innovation in India. The collaboration will also promote the creation of AI models that can serve critical national goals such as education, healthcare, and agriculture.
Focus on data sovereignty and compliance
Google’s introduction of sovereign-ready Gemini capacity marks a significant step toward aligning with India’s evolving data protection and cloud governance framework. This initiative will allow enterprises and public sector entities to store, process, and manage sensitive data within India while leveraging Google Cloud’s AI capabilities.
The sovereign-ready Gemini capacity ensures that AI workloads can be handled in compliance with India’s Digital Personal Data Protection Act (DPDPA) and sector-specific regulations. The move comes as major global cloud providers, including Amazon Web Services and Microsoft Azure, also expand their localized data centers to meet similar compliance demands.
According to Google, the sovereign-ready Gemini offering will be available across major metropolitan regions in India, ensuring low-latency AI performance for domestic customers. This is expected to benefit industries such as banking, telecommunications, and government services that handle regulated data.
Boosting local AI innovation and enterprise adoption
Google Cloud’s expanded AI infrastructure is expected to catalyze the next wave of enterprise digital transformation in India. Businesses across sectors including retail, manufacturing, logistics, and fintech are increasingly turning to AI-driven analytics, automation, and personalization to enhance customer experience and operational efficiency.
With Trillium TPUs now available in India, organizations can accelerate AI workloads such as natural language processing, computer vision, and predictive modeling at scale. This local availability reduces dependency on international data centers and brings down operational costs while improving data security.
Analysts suggest that Google’s expansion also positions it competitively against other major AI cloud providers. Amazon, Microsoft, and NVIDIA have been strengthening their AI infrastructure partnerships in India to capture the growing enterprise demand. According to a report by IDC, India’s AI spending is projected to surpass USD 5 billion by 2027, growing at a compound annual rate of over 25 percent.
Supporting India’s AI vision
The announcement complements the Indian government’s IndiaAI Mission, a national program to democratize access to AI tools, research, and compute resources. Google’s latest investments align closely with this initiative, focusing on improving infrastructure readiness and fostering an inclusive AI ecosystem.
Minister of State for Electronics and Information Technology, Rajeev Chandrasekhar, recently highlighted the importance of private sector collaboration in advancing AI accessibility. “India’s AI journey is not only about technology but about enabling scale and inclusion. Global partnerships like Google’s bring in the infrastructure necessary for that vision,” he said.
Google’s local infrastructure push is also expected to support emerging startups working in AI-driven sectors such as agritech, healthtech, and edtech. By offering scalable cloud compute and advanced AI APIs, Google Cloud aims to provide cost-effective access to resources that were previously limited to large enterprises.
The broader strategic context
The launch of Trillium TPUs and sovereign-ready Gemini capacity marks another milestone in Google’s ongoing investments in India’s technology landscape. Earlier this year, the company announced a USD 10 billion India Digitization Fund, aimed at supporting startups, developers, and enterprises building digital-first businesses.
With this latest expansion, Google reinforces its commitment to making AI more accessible, efficient, and responsible for Indian users. The company’s focus on sustainability is also evident, as the new infrastructure will operate on renewable energy sources to reduce its environmental footprint.
Industry experts believe that Google’s move will not only empower Indian businesses but also strengthen the country’s role in global AI innovation. As India emerges as a key hub for AI research, development, and deployment, investments in compute infrastructure like this are expected to drive long-term growth in both the technology and knowledge sectors.
With the integration of Trillium TPUs and sovereign-ready Gemini capacity, Google positions itself at the forefront of India’s AI acceleration journey—bridging global innovation with local ambition.