Context: Microsoft CEO has announced plans to invest $3 billion in India in AI and cloud infrastructure, including setting up new data centres over the next two years. The company is also aiming to train 10 million Indian people with AI skills by 2030.
Relevance of the Topic: Mains: Key facts about AI, Cloud infrastructure in India, Government Initiatives.
Major Highlights:
- Efficiency metrics for AI applications: The formula to measure the efficiency of AI applications is stipulated to be: Tokens per dollar per watt.
- Tokens per dollar per watt signify how many tokens (units of information) can be generated per dollar spent on computing power, per unit (watt) consumption of energy, required to produce those tokens.

Key Terms:
What is Artificial Intelligence?
- Artificial intelligence (AI) is broadly defined as the capability of a machine (computer systems) to imitate intelligent human behaviour. E.g., Machines can perform cognitive tasks like thinking, perceiving, learning, problem-solving and decision-making.
What is Cloud Computing?
- Cloud computing involves the rental of computing resources—such as servers, storage, applications, and databases— over the internet, as opposed to owning physical infrastructure. At its core, cloud computing relies on the infrastructure provided by data centers.
- E.g., Software as a Service (SaaS): SaaS grants users access to software applications hosted by the cloud service provider.
What are Data Centres?
- Data centers are highly specialised facilities designed to house computing systems and their related components, such as, physical hardware, servers, networking equipment and storage systems.
- The primary purpose of data centers is to process, store, and distribute data for various applications and services, such as websites, cloud computing, and enterprise operations.
- Data centers empower organisations to handle large volumes of data securely and efficiently and enable cloud computing to function seamlessly.

Potential of Data Centres in India
- India aims to become a global hub for AI innovation and data centre development.
- Current capacity:
- As of 2024, India's data centre capacity is at approximately 1,255 MW, which is expected to surge to 17 GW by 2030.
- India holds 20% of global data but only 3% of data centre capacity.
- Expansion potential of data centres in future, due to:
- Increasing digitalisation & data consumption
- Rise in demand for AI and generative AI projects
- Nationwide roll-out of 5G
- Need for edge computing to allow data processing on devices
- Need to store data locally (within National borders).
- Concentration of data centres in India: About 95% of the existing data centre capacity is in metros and big cities. Mumbai has >50% of current capacity due to its central location, reliable power and cable landing stations.
Government Initiatives in this Regard
1. Data Localisation Rules: India’s laws mandate that certain data be stored locally, such as:
- Reserve Bank of India's Directive (2018) mandates payment system providers to store entire payment data (transaction details, customer information and related data) within India.
- IRDAI (Maintenance of Insurance Records) Regulation, 2015 requires covered organisations to store insurance data within India.
- The draft Digital Personal Data Protection Rules focus on targeted data localisation, addressing children's online age verification challenges, and data protection.
- Digital Personal Data Protection Act permits cross-border data transfers to all countries, unless restricted by the Central Government by notification.
2. Digital India Mission:
- Digital India campaign launched in 2015, aims at the development of secure and stable digital infrastructure (including data centres), delivering government services digitally, and universal digital literacy.
3. IndiaAI Mission:
- The Rs 10,370 croreIndiaAI Mission aims to:
- establish a computing capacity of more than 10,000 GPUs.
- help develop foundational models with a capacity of more than 100 billion parameters trained on datasets covering major Indian languages for priority sectors like healthcare, agriculture, and governance.
- The idea is that if such an infrastructure exists in the country, start-ups could plug into it for developing AI systems.
- Of the total outlay, Rs 4,564 crore has been earmarked for building computing infrastructure.
Read More: IndiaAI Mission











