Meta Platforms, formerly Facebook, plans to build its first data centre in India at the Reliance Industries campus in Chennai.
The campus, known as MAA10, is a joint venture between Brookfield Asset Management, Digital Realty, and Reliance Industries Limited (RIL).
Objective and Scope:
- The primary aim of establishing the data centre is to enable local processing of user-generated content from Meta's major apps like Facebook, Instagram, and WhatsApp.
- This move is expected to enhance operational capabilities and improve user experience by reducing data processing speed and transmission costs.
Facility Details:
- The data centre will be housed within the 10-acre MAA10 campus located in Chennai's Ambattur Industrial Estate.
- The campus boasts a robust IT load capacity of up to 100 MW, providing ample infrastructure support for Meta's data processing requirements.
Agreement Origins:
- The agreement between Meta and RIL materialized during the pre-wedding festivities of Anant Ambani, a member of the Ambani family, held in Jamnagar last month.
Benefits of Local Data Centre:
- Meta's Indian users currently rely on the company's Singapore data centre. Establishing a local facility is expected to enhance data processing speed and reduce transmission costs.
- It will also facilitate the integration of local advertisements, enriching user experience and further reducing transmission expenses.
Market Dynamics and Localization Needs:
- Meta's decision to establish local data centres may be influenced by increased government scrutiny over large AI models.
- Experts suggest that localisation of data centres in key regions like Chennai, Mumbai, Hyderabad, and Delhi NCR is essential to meet Meta's infrastructure requirements and address market dynamics in India.
Market Potential and Strategy:
- With millions of users across Facebook, Instagram, and WhatsApp in India, Meta aims to capitalize on the growing market potential and improve user engagement.
- Localizing user-generated content and ads is seen as a strategic move to enhance AI-driven recommendations, reduce latency, and save transmission costs, considering India's large but underpenetrated smartphone user base.