Cognizant works with Nvidia to reduce cost of cloud modernisation

Cognizant has partnered with Nvidia to enhance its data modernisation offering. The partnership aims to help clients to process large datasets quicker, control cloud computing costs and lead to faster adoption of AI use cases.

“Our latest collaboration with Nvidia aims to transform the way businesses process and analyse large datasets, delivering, we believe, unprecedented speed and efficiency,” said Annadurai Elango, the global head of core technologies and insights at Cognizant. “Transitioning clients to GPU-based infrastructure will also lay the groundwork for implementing exciting new generative AI use cases in critical business functions.”

As businesses continue to find ways to put hype around AI to practical use, Cognizant is the latest consulting firm to partner with chip-giant Nvidia. The company has also partnered with TCS, to offer industry specific expertise to businesses implementing AI transformations, and launched a new enterprise with Accenture, with 30,000 professionals being trained globally, to help the world’s enterprises rapidly scale their AI adoption.

Repositioning itself as a dominant supplier of AI hardware and software, Nvidia's market value surpassed $3 trillion earlier in 2024, fuelled by the generative AI boom, and the rebounding tech sector. But looking ahead, the AI market is slightly more fraught than that. In the second half of 2024, Nvidia lost billions from its stock value in a single day. Looking ahead, them to ensure the AI phenomena maintains its value, getting use cases off the ground will be crucial to firms like Nvidia.

In the case of the Cognizant partnership, the global consultancy will enhance its data modernisation offering by leveraging the full stack Nvidia accelerated computing platform, along with the Cognizant data and intelligence toolkit, to address the growing challenges enterprises face in controlling cloud computing costs.

As enterprises increasingly migrate their systems to the cloud, they encounter significant challenges in controlling and optimising their cloud expenditures. The rapid growth of data and the need for real-time analytics have led to escalating costs and performance bottlenecks. Traditional CPU-based methods can fall short in handling large-scale data processing efficiently, leading to higher potential operational costs and slower organisational decision-making.

But by embedding accelerated performance and cost efficiency into the cloud modernisation journey, Cognizant hopes its enhanced data modernisation offering is designed to enable clients to speed up data processing tasks, outperforming traditional CPU-based processing without requiring code changes. By reducing processing time and improving resource efficiency, enterprises could achieve substantial cost savings and gain a competitive edge through more sophisticated and timely analytics.

Explaining the potential benefits for Cognizant clients, John Fanelli, vice president for enterprise software at Nvidia, said, "Enterprises migrating to the cloud need efficient solutions for large-scale data processing and real-time analytics to speed development and retrieval-augmented generation for agentic AI. With Nvidia Rapids accelerated data processing, Cognizant can help businesses significantly reduce computing costs and accelerate workloads to extract more value from their cloud investments."