AI boom drives demand for data centers in India

The AI boom is rapidly changing industries and societies. New technologies, like DeepSeek-R1 and Midjourney, are demonstrating how AI can create movies and music. This growth is increasing the need for data centers that can provide the necessary power and cooling for AI applications. According to McKinsey, global data center demand could grow by 19-22% each year until 2030. Graphics Processing Units, or GPUs, are essential for AI workloads. They provide the speed and power needed to train complex AI models. However, they require more power and cooling than traditional servers, which means data centers may need major upgrades. Solutions like custom racks and modular data centers are emerging to meet these demands. Cooling technologies are also evolving. Systems like rear-door heat exchangers and liquid cooling are being used to prevent overheating. AI is even being introduced into cooling systems, helping to reduce energy use by predicting temperature changes. Networking is critical for AI applications, requiring fast data transfers. Technologies such as InfiniBand are being adopted to enhance GPU communication. Data centers are also implementing high-bandwidth networks and software-defined networking for better management. Yotta is leading in building AI-ready data centers. Its Shakti Cloud platform provides essential computing power for AI development, making it easier for businesses and researchers to work with AI. Yotta has committed to supporting India's AI initiative by providing thousands of GPUs, aiming to position the country as a global AI leader. As AI technology becomes more advanced, data centers must adapt with improved cooling, networking, and high-performance equipment. Yotta's focus on sustainability and powerful infrastructure is helping advance the field of AI.