EY Launches On-Premises AI Platform With Nvidia and Dell

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EY's investment in AI will help the consultancy to process its data like never before
EY launches EY.ai enterprise private, a new comprehensive on-premises AI platform in partnership with Dell and Nvidia to target regulated sectors

EY has launched EY.ai enterprise private, an on-premises AI platform developed in partnership with Dell Technologies and Nvidia. 

The Big Four consultancy firm has built the solution to serve organisations in highly regulated sectors where data sovereignty and security requirements prevent adoption of public cloud AI services.

It has also been designed to address market demand from businesses facing regulatory scrutiny and operational requirements that necessitate on-premises data control. Currently, McKinsey research indicates 78% of businesses globally now use AI for at least one business function, yet highly regulated sectors have faced barriers to adoption due to security and compliance constraints.

John Roese, Global CTO and Chief AI Officer at Dell Technologies

“As we move further into this new era of technological innovation, it is critical for enterprises to evolve with and invest in technologies and infrastructure at the forefront of innovation to fully unlock the transformative benefits of AI,” says John Roese, Global CTO and Chief AI Officer at Dell Technologies.

Nvidia Blackwell to power EY.ai infrastructure

The solution combines EY's consulting expertise with purpose-built infrastructure designed to maintain data control while delivering AI capabilities. Companies in sectors with stringent regulatory requirements can deploy AI workloads without transferring data to public cloud environments.

Notably, it utilises Nvidia's Blackwell accelerated computing technology alongside advanced networking solutions and AI Enterprise software components. 

Dell Technologies provides the underlying infrastructure architecture to support the Nvidia computing stack.

The validated architecture delivers capabilities including streamlined development and deployment processes, scalable data processing for model training and inference operations, and execution frameworks for autonomous AI systems. 

It also supports Retrieval Augmented Generation (RAG) implementations, on-demand training workflows and AI agents that operate across cloud and on-premises environments.

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EY has identified agentic AI as a strategic focus area for the platform, as Matt Barrington, CTO and Global AI Technology Leader at EY Americas explains: “Agentic AI serves as a catalyst for a new era — where autonomous systems and humans converge to redefine business.”

He adds: “Successful implementation of agentic AI requires a comprehensive approach to address technical and organisational complexities — and this solution provides a flexible blueprint for seamless integration while also helping organisations confidently scale AI with a private environment, when needed.”

Matt Barrington, CTO and Global AI Technology Leader at EY Americas

Confronting data availability challenges that drive enterprise AI adoption

According to EY’s AI Pulse Survey, 83% of organisations believe AI adoption acceleration depends on improved access to quality data. believe that AI adoption could be sped up if high quality data was more readily available.

By providing a unified strategic approach tailored to specific business sector needs, EY’s new platform could help to do that. 

Businesses with critical operational demands and strong on-premises data requirements represent the primary target market for the solution. EY.ai works by enabling these organisations to implement AI capabilities without compromising data sovereignty or regulatory compliance requirements.

John Fanelli, Vice President, Enterprise Software at Nvidia

“AI is evolving rapidly, with leading enterprises now scaling productivity and their operations with intelligent AI agents,” says John Fanelli, Vice President, Enterprise Software at Nvidia.

“Together, Nvidia, EY and Dell Technologies are enabling businesses to put their data to work in enterprise AI factories that drive insights and innovation at unprecedented scale.”


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