The National Stock Exchange has deployed direct-to-chip liquid cooling at its data centre, with infrastructure designed to support up to 224 GPUs as it expands AI computing capabilities.
The National Stock Exchange of India (NSE) has deployed Direct-to-Chip Liquid Cooling (DCLC) technology at its on-premises data centre to support its expanding artificial intelligence (AI) infrastructure. The exchange plans to increase its graphics processing unit (GPU) capacity to more than 80 units during the current quarter.
According to NSE, the deployment is the first of its kind in Indian capital markets and is intended to support high-density GPU computing as the exchange expands its AI applications across business operations.
The newly deployed infrastructure has been designed to accommodate up to 224 GPUs across high-density server racks, allowing NSE to expand its computing capacity in line with future requirements.
Direct-to-chip liquid cooling uses liquid-based systems to remove heat directly from computing components, including processors and GPUs. The technology is designed to manage the higher cooling requirements associated with AI workloads, which demand substantial computing power.
NSE said the infrastructure would provide a scalable and energy-efficient cooling solution while supporting the growing computational requirements of AI applications.
The deployment has been implemented within NSE's on-premises data centre, enabling the exchange to retain control over its AI data, computing resources and access management. The approach is also intended to support data sovereignty, security governance and compliance with applicable regulatory requirements.
The exchange further plans to extend the cooling technology to its co-location data centre, depending on the future requirements of market participants.
Viral Mody, Executive Director at NSE, said the exchange's technology investments were focused on strengthening operational efficiency and developing resilient infrastructure for India's capital markets.
He added that the deployment reflected NSE's approach towards adopting advanced technologies while promoting the responsible use of resources and preparing for evolving computing requirements.
Sampath Manickam, Chief Technology Officer at NSE, highlighted the increasing infrastructure demands associated with AI adoption, particularly in computing density, power consumption and cooling.
"The DCLC deployment provides a scalable and energy-efficient foundation for high-density GPU computing and strengthens our readiness for the next generation of AI workloads," Manickam said.
The infrastructure upgrade comes as organisations deploying AI systems require greater computing capacity to process data, train models and support applications that rely on intensive computational resources.
For NSE, the deployment forms part of its broader technology infrastructure strategy aimed at accommodating emerging technologies while maintaining operational control over critical computing systems.
The exchange has not disclosed the financial investment associated with the deployment or a specific timeline for expanding capacity to the full 224 GPUs.
With the planned increase beyond 80 GPUs during the current quarter, NSE is preparing its computing infrastructure to support additional AI workloads and future expansion requirements.
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