AI-Driven Efficiency & Sustainability in Yotta’s Hyperscale Data Centers

Rohan Sheth
Head – Colocation, Data Center Build and  Global Expansion, Yotta Data Services

At Yotta, we are harnessing AI to optimize our data center operations across multiple dimensions. In physical security, AI-powered surveillance systems continuously monitor and analyze activities in real time to enhance response measures. However, the most transformative impact has been in AI-driven energy management, where energy constitutes a significant portion of both capital and operational expenditures costs. By leveraging AI to dynamically adjust GPU and server states based on real-time workload demand, we are achieving substantial energy savings while maintaining peak performance.

Leveraging AI: Automation, Operational efficiency and Cooling Solutions
AI is transforming data center operations with predictive analytics and automated monitoring, identifying and addressing issues before escalation. As AI adoption grows, high-uptime, scalable infrastructure is essential. Yotta is expanding its hyperscale data centers with Nvidia H100 GPUs to support AI model training and inferencing at scale. Shakti Cloud, India’s first AI-centric GPU cloud, features 16,384 Nvidia GPUs for seamless AI scaling. Yotta integrates advanced cooling solutions—air-cooled chillers, RDHx, and liquid immersion cooling—to enhance efficiency and sustainability. By evolving beyond traditional storage, Yotta ensures AI workloads operate efficiently, making AI-driven data centers the future of intelligent computing.

AI enhanced cybersecurity measures
Yotta’s in-house cybersecurity suite, Suraksha, leverages AI and machine learning to proactively monitor, detect, neutralize threats in real time, enabling rapid incident response. Its smart CSOC security framework provides comprehensive prevention, detection, and threat hunting, backed by a dedicated team of security experts. Suraksha offers a 360-degree view of security incidents and seamlessly integrates with existing security stacks, allowing for quick and efficient deployment. Additionally, Gen AI is revolutionizing cybersecurity training, enabling realistic, AI- driven simulations of cyber-attack scenarios that help cybersecurity professionals refine decision-making and baseline threat detection capabilities.

Yotta’s data center- Competitive edge
AI-optimized infrastructure is crucial for managing complex AI workloads. Data centers must invest in HPC, specialized GPU clusters, and intelligent cooling to support large-scale AI training and inferencing. India’s AI growth relies on robust, scalable, low-latency data centers for mission-critical applications. Yotta leads this shift with H100 GPUs and hyperscale infrastructure expansion. Prioritizing sustainability, Yotta optimizes energy use, sourcing renewable energy. NM1 in Navi Mumbai operates on 80% green energy, while Yotta D1 in NCR-Delhi runs entirely on 100% green energy, ensuring efficiency and eco-friendly AI operations.