The National Stock Exchange of India (NSE) on Monday announced the deployment of Direct-to-Chip Liquid Cooling (DCLC) technology at its on-premises data centre to strengthen its artificial intelligence (AI) infrastructure, with plans to scale computing capacity to 224 graphics processing units (GPUs).
The exchange described the initiative as the first deployment of its kind in Indian capital markets, aimed at supporting high-density computing requirements as the adoption of AI applications increases across its operations.
NSE has already deployed multiple GPUs and plans to expand its computing capacity to more than 80 GPUs during the current quarter. The newly installed cooling infrastructure has been designed to accommodate up to 224 GPUs across high-density racks, providing scope for future expansion.
The deployment comes as AI applications increasingly require greater processing power, higher computing density and more efficient cooling systems to manage the heat generated by advanced processors.
According to NSE, the technology will provide a scalable cooling architecture capable of supporting intensive AI workloads while improving the efficiency and resilience of its computing infrastructure.
๐ ๐จ๐๐ฎ๐ฌ ๐จ๐ง ๐๐๐ญ๐ ๐ฌ๐จ๐ฏ๐๐ซ๐๐ข๐ ๐ง๐ญ๐ฒ
The exchange said the infrastructure had been deployed within its on-premises data centre environment to strengthen data sovereignty and retain complete control over AI-related data, computing resources and access.
The arrangement is expected to support NSE's security governance framework and ensure alignment with applicable regulatory and compliance requirements as the organisation expands its use of artificial intelligence.
Unlike conventional air-cooling systems, direct-to-chip liquid cooling uses liquid-based heat transfer to remove heat directly from high-performance computing components.
The technology is particularly suited to high-density GPU installations, where conventional cooling systems can face challenges in managing increasing heat loads.
NSE said the deployment would provide the necessary infrastructure to accommodate growing computational requirements while supporting more energy-conscious operations.
๐๐๐ ๐จ๐ฎ๐ญ๐ฅ๐ข๐ง๐๐ฌ ๐๐ฑ๐ฉ๐๐ง๐ฌ๐ข๐จ๐ง ๐ฉ๐ฅ๐๐ง๐ฌ
Viral Mody, Executive Director of NSE, said the exchange remained committed to bringing world-class technology to Indian market participants while developing resilient, scalable and future-ready market infrastructure.
He said NSE continued to invest in advanced technologies to strengthen operational excellence, improve efficiency and promote the responsible utilisation of resources.
Mody said the deployment of direct-to-chip liquid cooling reflected the exchange's approach towards preparing for evolving computing requirements while advancing a more energy-conscious technology ecosystem.
He added that such initiatives were aimed at contributing to a stronger, more efficient and globally competitive Indian capital markets ecosystem, in line with Prime Minister Narendra Modi's vision of Viksit Bharat.
๐๐ ๐๐ซ๐ข๐ฏ๐๐ฌ ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ข๐ง๐ ๐๐๐ฆ๐๐ง๐
Sampath Manickam, Chief Technology Officer of NSE, said the growing adoption of artificial intelligence was bringing fundamental changes to technology infrastructure, particularly in computing density, power consumption and cooling requirements.
He said the exchange was adopting an approach focused on anticipating future requirements and developing infrastructure ahead of demand.
"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 exchange also plans to extend the liquid cooling technology to its co-location data centre in the near future, depending on the requirements of market participants.
The proposed expansion is expected to strengthen NSE's ability to support increasingly complex computing applications while maintaining control over its technological infrastructure.
The initiative forms part of NSE's broader efforts to build resilient and scalable systems capable of supporting the responsible adoption of emerging technologies across India's capital markets.
With its planned expansion beyond 80 GPUs during the current quarter and infrastructure designed to accommodate up to 224 GPUs, NSE is preparing to address the growing computational requirements associated with artificial intelligence and future technology applications.