Accenture and NVIDIA have declared an expanded partnership to accelerate AI adoption across global companies. Accenture's new NVIDIA Business Group is at the heart of this relationship, with the goal of assisting clients in rapidly scaling agentic AI systems and leveraging AI for business transformation.
The relationship builds on Accenture's strong AI momentum, which saw USD 3 billion in AI-related bookings in the most recent fiscal year. The NVIDIA Business Group will incorporate the Accenture AI Refinery, which uses the whole NVIDIA AI stack—including NVIDIA AI Foundry, NVIDIA AI Enterprise and NVIDIA Omniverse—to drive improvements in areas such as process automation, AI-powered simulations and sovereign AI.
Accenture's AI Refinery will be available on both public and private cloud platforms, and it will work with other Accenture Business Groups to increase AI adoption across the SaaS and Cloud AI ecosystems. Accenture believes that its AI Refinery will help firms streamline operations, boost efficiency, and expand AI solutions throughout the workplace.
The firms are also collaborating on novel uses of agentic AI—AI systems that can act on user intent, create workflows and automate activities without human intervention. Indosat Group in Indonesia is an early adopter of this technology, utilising sovereign AI systems to assist local firms in deploying AI in accordance with regulatory regulations, particularly in the financial services industry.
Accenture intends to increase its AI capabilities by launching a new NVIDIA NIM Agent Blueprint for industrial automation. This design will enable the creation of self-driving, robot-operated factories using NVIDIA's Omniverse, Isaac and Metropolis technologies. Accenture's factory automation subsidiary, Eclipse Automation, will use these technologies to save design time by up to 50 per cent and cycle time by 30 per cent.
Accenture is also developing AI Engineering Hubs in Singapore, Tokyo, Malaga and London to boost its technical capability for deploying large-scale AI systems. These hubs will focus on fine-tuning and large-scale deployment of AI models, addressing issues such as accuracy, cost and compliance.
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