
Feb 19 (Reuters) - Senior executives from global artificial intelligence firms joined world leaders in India this week for a major AI summit.
Here is a list of all the major deals struck during the India AI Impact Summit in New Delhi.
INDIA'S RELIANCE INDUSTRIES, JIO TO INVEST $110 BILLION
Conglomerate Reliance Industries RELI.NS and its telecom arm Jio will invest $109.8 billion over the next seven years to build artificial intelligence and data infrastructure, its billionaire chairman Mukesh Ambani said on Thursday.
INDIA'S ADANI GROUP TO COMMIT $100 BILLION FOR AI DATA CENTRES THROUGH 2030
The ports-to-power Adani Group said on Tuesday it would invest $100 billion for renewable energy-powered AI data centres by 2035.
Adani said that the investment is expected to trigger an additional $150 billion across related industries, including server manufacturing and sovereign cloud platforms.
Together, this is projected to create a $250 billion AI infrastructure ecosystem in India over the decade, it added.
MICROSOFT TO INVEST $50 BILLION IN 'GLOBAL SOUTH' BY 2030
Microsoft MSFT.O on Wednesday said it is on pace to invest $50 billion by the end of the decade to help expand AI to countries across the 'Global South'.
The firm had unveiled $17.5 billion worth of AI investments in India last year.
INDIAN DATA CENTRE FIRM YOTTA COMMITS $2 BILLION FOR AI HUB
Yotta Data Services said on Wednesday it will build one of Asia's largest AI computing hubs using Nvidia's NVDA.O latest Blackwell Ultra chips, in a project costing more than $2 billion.
INDIAN IT SERVICES EXPORTER TCS SIGNS OPENAI AS DATA CENTRE CUSTOMER
Tata Consultancy Services TCS.NS has signed up ChatGPT parent OpenAI as its first customer for its data centre unit under the global AI infrastructure initiative Stargate, the companies said on Thursday.
INDIA'S L&T, NVIDIA TO BUILD INDIA'S LARGEST AI FACTORY
Infrastructure major Larsen & Toubro LART.NS announced a proposed venture with Nvidia to build AI-ready data centre infrastructure, advanced computing platforms, and ecosystem enablement required to support large-scale AI workloads.