OpenAI Wants the World on the US StackOpenAI is no longer just a research lab. With initiatives like Stargate UAE, it's laying down some serious infrastructure. In Abu Dhabi, it's already building a 1-gigawatt AI compute cluster with G42, Oracle, NVIDIA, SoftBank, and Cisco, hosted at the UAE–US AI Campus. This is part of a broader plan, in which OpenAI is also exploring data centre opportunities across Asia, including India, South Korea, Singapore, and Japan. Its data residency option allows organisations to store customer content locally when using its enterprise APIs and ChatGPT services. Sam Altman has been clear: he wants the entire world to be on the US stack, running on US chips and tools like ChatGPT. His vision is a unified AI system governed by US tech infrastructure. Before we discuss India's AI efforts, let's review some of the week's top stories. - Google is ramping up support for India's AI startup ecosystem through its Google for Startups Accelerator and a partnership with MeitY Startup Hub to train 10,000 AI startups. In an exclusive AIM interview, Google India leaders Paul Ravindranath and Karthik Padmanabhan shared how the company selects and supports startups, why depth of expertise matters more than ever, and what it means to build with or around Google in India. Click here to read the full story.
- NVIDIA risks losing $8 billion next quarter as US chip export restrictions cut it off from China's booming AI market. CEO Jensen Huang warned that the move boosts rivals like Huawei, which is rapidly advancing its AI chips. Read the full story here.
- Infosys, Wipro, HCLTech, Tech Mahindra, and Cognizant have appointed dedicated leaders for their GCC businesses, moving from quiet execution to strategic focus. With India projected to host over 2,400 GCCs by 2030, IT firms are positioning themselves as partners, co-building innovation hubs and large-scale transformation deals rather than viewing GCCs as rivals. Read the story here.
India Builds Its Own AI StackIndia isn't waiting around while the world builds foundational AI. Through the IndiaAI Mission, the government is investing INR 10,372 crore to create a sovereign AI compute cluster. Our current capacity includes 18,000 GPUs through public-private partnerships. As announced by IT minister Ashwini Vaishnaw, the plan is to scale up to 34,000 GPUs soon. The mission goes beyond building infrastructure alone—it's about the ownership of models, data, and deployment. India is placing its bets on open-weight models, publicly funded datasets, and sovereign cloud deployments. Under the IndiaAI Mission, three more startups, namely Soket AI, Gnani.ai, and Gan.AI, have been selected to develop indigenous foundation models. This brings the total to four (including the previously announced Sarvam AI). Also, seven companies just cleared the second round of GPU tenders. Names like Yotta, Netmagic, Sify, and Cyfuture are in the mix. |
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