NSE Enhances AI Infrastructure with Liquid Cooling and Expands GPU Capacity

The National Stock Exchange of India (NSE) has taken a significant step forward in strengthening its artificial intelligence (AI) computing capabilities by implementing direct-to-chip liquid cooling technology. This move is designed to manage increasing demand for high-performance computing resources, especially for AI workloads that require intensive processing power.

On November 9, 2026, NSE revealed plans to expand its graphics processing unit (GPU) capacity beyond 80 units within this quarter. The exchange aims to eventually scale this capacity up to 224 GPUs, reflecting its commitment to supporting complex AI applications and computational tasks. This expansion is a part of NSE's broader strategy to improve its technological infrastructure while maintaining high levels of security and efficiency.

Liquid cooling technology, which involves circulating coolant directly onto GPU chips, offers superior heat dissipation compared to traditional air cooling methods. This allows for higher density computing in data centres and more reliable performance under heavy workloads. NSE’s adoption of this technology is reportedly the first instance of direct-to-chip liquid cooling deployment within the Indian capital markets sector.

By integrating this cooling solution within its on-premises data centre, NSE ensures tighter control over its computing environment. This approach reinforces data sovereignty by allowing the exchange to retain complete ownership and oversight of AI data, computing resources, and access protocols. Such control is crucial for compliance with regulatory standards and security governance frameworks, which are increasingly important as AI adoption grows across financial services.

Looking ahead, NSE plans to extend the liquid cooling technology to its co-location data centre facilities. This expansion will be guided by the needs of market participants who rely on NSE’s infrastructure for low-latency trading and data processing services. Implementing advanced cooling solutions in co-location centres can enhance system stability and performance, benefiting a wide range of users in the financial ecosystem.

The exchange’s investment in AI infrastructure comes amid a rising trend across global financial markets to harness the power of artificial intelligence and machine learning. These technologies are being used to improve trading algorithms, risk management, fraud detection, and client services. As computational demands increase, infrastructure upgrades like those undertaken by NSE become essential to handle the growing complexity and volume of data.

With the planned GPU capacity increase and the deployment of liquid cooling technology, NSE is positioning itself to meet future challenges in technology and market demand. This move signals the exchange’s focus on innovation while prioritizing operational security and regulatory compliance.

In summary, NSE is advancing its technological capabilities by adopting cutting-edge cooling solutions and scaling GPU resources. These efforts will support the exchange’s expanding AI workloads, ensuring robust performance and security as the financial marketplace evolves.