Mumbai, Nov. 9 -- National Stock Exchange of India (NSE) has deployed a Direct-to-Chip Liquid Cooling (DCLC) solution to support its growing artificial intelligence (AI) infrastructure. The deployment is a first-of-its-kind deployment in Indian capital markets and reflects NSE's continued focus on building scalable, resilient and future-ready technology infrastructure to support emerging compute-intensive workloads.
As NSE expands AI use cases across the organization, the new infrastructure enables deployment of high-density GPU-based computing through an efficient and scalable cooling architecture. NSE has already deployed multiple GPUs and plans to expand the environment to more than 80 GPUs during the current quarter. The DCLC infrastructure has been designed with capacity to scale up to 224 GPUs across high-density racks, aligned with future AI computing requirements.
Deployed within NSE's on-premises data centre environment, the infrastructure is designed to strengthen data sovereignty while retaining complete control over AI data, computing resources and access. This approach supports NSE's security governance and alignment with applicable regulatory and compliance requirements as AI adoption scales.
The initiative reflects the Exchange's ongoing commitment to delivering best-in-class technology and resilient, future-ready infrastructure for Indian market participants, while building the capabilities to support the responsible adoption of emerging technologies at scale. Based on needs of market participants, NSE will extend the DCLC technology to its co-location datacentre in near future.
Technology Leadership Highlights:
(1) First-of-its-kind Direct-to-Chip Liquid Cooling (DCLC) deployment in Indian capital markets.
(2) Purpose-built infrastructure to support high-density GPU-based AI workloads within on-prem DC.
(3) GPU capacity planned to exceed 80 during the current quarter, with infrastructure designed to scale up to 224 GPUs.
(4) Scalable architecture that positions NSE to support future growth in AI computing requirements.
(5) On-premises AI infrastructure designed to strengthen data sovereignty, retain complete operational control and support security and regulatory compliance requirements.
Viral Mody, Executive Director, NSE, said the exchange's direct-to-chip liquid cooling deployment would help build resilient, scalable and future-ready market infrastructure, while improving efficiency and promoting responsible resource use.
He said the initiative supports a globally competitive capital markets ecosystem in line with the Prime Minister's vision of Viksit Bharat.
Sampath Manickam, Chief Technology Officer, NSE, said the solution provides a scalable, energy-efficient foundation for high-density GPU computing, preparing the exchange for growing AI workloads and evolving technology requirements.
Published by HT Digital Content Services with permission from Millennium Post.