NPCI partners with Nvidia to build sovereign AI infrastructure for India's digital payments

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NPCI has partnered with Nvidia to develop a payments-native AI foundation model aligned with India's regulatory and data sovereignty requirements. The collaboration will use Nvidia Nemotron to create a foundational AI layer for the payments ecosystem, building on the UPI Help Assistant pilot that supports grievance resolution at scale.

NPCI Collaboration with Nvidia Strengthens India's Payments Infrastructure

National Payments Corporation of India (NPCI) announced a strategic partnership with Nvidia to scale and advance its sovereign AI model capabilities purpose-built for India's payments ecosystem

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. The initiative will support the evolving requirements of large-scale, real-time payment systems, with an emphasis on trust, resilience and security, and ecosystem enablement. This collaboration brings together NPCI's domain expertise in building and operating population-scale payments infrastructure with Nvidia's advanced AI and accelerated computing platforms

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Source: CXOToday

Source: CXOToday

Building a Payments-Native AI Foundation Model

As part of this engagement, NPCI will use Nvidia Nemotron—a family of open models with open weights, training data and recipes—in its model development journey to create an AI foundation model aligned with India's regulatory and data sovereignty requirements

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. The proposed model will explore architectures such as Mixture of Experts (MoE) to support high-volume, low-latency payment environments, while gradually expanding capabilities across multilingual datasets and agent-optimised systems

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. This marks a shift from use-case-specific agents to a foundational, scalable AI layer for the payment ecosystem.

From UPI Help Assistant to Foundational AI Layer

NPCI's use of AI has been guided by practical requirements emerging from operating payment systems at scale. The organization recently introduced the UPI Help Assistant as a pilot initiative, supported by FiMI (Financial Model for India)—a fine-tuned and pre-trained Small Language Model developed specifically for the payment ecosystem

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. The assistant supports grievance resolution for UPI users by enabling more timely and consistent responses at scale. In the next phase of its AI journey, NPCI aims to evolve beyond these targeted applications to create a comprehensive AI infrastructure that can support innovation across the entire payments ecosystem.

Source: ET

Source: ET

Strengthening India's Sovereign AI Infrastructure for Digital Payments

Vishal Kanvaty, Chief Technology Officer at NPCI, emphasized that "through this collaboration with Nvidia, NPCI aims to advance AI capabilities designed specifically for India's payments ecosystem"

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. Drawing from their experience of operating population-scale, real-time payment systems, this initiative is designed to create a sovereign, payments-native AI foundation that strengthens trust, resilience, and security while remaining aligned with India's regulatory requirements. Vishal Dhupar, Managing Director, Asia South at Nvidia, noted that "India has one of the most advanced digital payment systems in the world that operates at population scale where trust, resilience, and performance are fundamental"

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Enabling Ecosystem-Wide Innovation in Fintech Infrastructure

Over time, the initiative is expected to support innovation across areas such as trust frameworks, grievance redressal processes, and operational intelligence . It is also intended to provide a platform that can be leveraged by banks, fintechs, and other participants in the payments ecosystem, while maintaining a strong focus on data security, sovereignty, and responsible use of AI. This approach to fintech infrastructure development positions India to maintain control over its critical payment systems while enabling responsible innovation across the ecosystem. The collaboration continues NPCI's focus on strengthening the underlying digital public infrastructure for digital payments, with a view to supporting long-term stability, efficiency, and innovation across the ecosystem.

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