Cognizant Tackles Enterprise Cloud Cost Challenges with NVIDIA RAPIDS Cloud Modernization

Rhea-AI Summary

Cognizant (NASDAQ: CTSH) is enhancing its data modernization offering by integrating NVIDIA RAPIDS and the Cognizant® Data and Intelligence Toolkit to address enterprise cloud computing cost challenges. The collaboration aims to optimize cloud expenditures and enhance performance through GPU-based infrastructure.

Proprietary benchmarks demonstrate a 2.5x acceleration in data engineering and data science workloads, alongside a 66% reduction in computing costs compared to CPU-processing. The solution is expected to achieve 50-80% automation in cloud modernization processes, helping businesses accelerate data processing capabilities while optimizing costs.

Positive

• 2.5x acceleration in data engineering and data science workloads
• 66% reduction in computing costs compared to CPU-processing
• 50-80% automation expected in cloud modernization processes

Negative

• None.

Insights

Tech Solutions Analyst

This strategic partnership marks a significant technological advancement in enterprise cloud computing. The integration of NVIDIA RAPIDS with Cognizant's toolkit demonstrates impressive performance metrics, including a 250% acceleration in data workloads and 66% cost reduction in computing expenses. The solution addresses a critical market pain point of balancing cloud migration with cost optimization.

The technology stack's ability to enhance Apache Spark workloads without code modifications reduces implementation barriers and accelerates time-to-value. This positions Cognizant favorably in the competitive cloud services market, particularly as enterprises increasingly prioritize AI-readiness and cost-efficient cloud operations. The 50-80% automation in cloud modernization processes could significantly impact Cognizant's service delivery efficiency and profit margins.

Cloud Economics Specialist

The financial implications of this partnership are substantial for both Cognizant and its enterprise clients. The demonstrated cost reduction of 66% in computing costs represents significant potential savings for large-scale cloud operations. This could strengthen Cognizant's competitive position in the cloud services market and potentially drive revenue growth through increased client adoption.

The solution's ability to optimize both performance and costs simultaneously addresses the growing concern of cloud cost management, which has become a major focus for CFOs and IT leaders. The automation capabilities could lead to improved operational efficiency and higher margins for Cognizant's cloud services division.

Collaboration leverages NVIDIA AI and Cognizant's data analytics accelerators with the goal to optimize enterprise cloud costs, enhance performance and help clients modernize their infrastructure to be AI-ready.

TEANECK, N.J., Oct. 24, 2024 /PRNewswire/ -- Cognizant (NASDAQ: CTSH) is enhancing its data modernization offering by leveraging the full stack NVIDIA accelerated computing platform, including NVIDIA RAPIDS, part of the NVIDIA AI Enterprise software 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 optimizing 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 organizational decision-making.

"Our latest collaboration with NVIDIA aims to transform the way businesses process and analyze large datasets, delivering, we believe, unprecedented speed and efficiency," said Annadurai Elango, EVP and Global Head of Core Technologies and Insights, Cognizant. "Transitioning clients to GPU-based infrastructure will also lay the groundwork for implementing exciting new generative AI use cases in critical business functions."

By embedding accelerated performance and cost efficiency into the cloud modernization journey, Cognizant's enhanced data modernization offering is designed to enable clients to speed up data processing tasks, outperforming traditional CPU-based processing without requiring code changes in Apache Spark¹-based workloads with RAPIDS Accelerator for Apache Spark. 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.

"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" said John Fanelli, vice president, Enterprise Software at NVIDIA. "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."

The Cognizant Data and Intelligence Toolkit, a set of accelerators designed to eliminate friction in the data-to-decisions journey, plays a key role in the offering by enhancing analytics processing performance, data preparation, model training, and deployment by harnessing NVIDIA GPU acceleration through the RAPIDS software libraries and APIs.

Proprietary benchmarks show a 2.5x acceleration in data engineering and data science workloads, and a 66 percent reduction in computing costs compared with CPU-processing.2 When combined with the anticipated 50-80 percent automation in cloud modernization processes driven by Cognizant's accelerators, Cognizant and NVIDIA software help businesses accelerate their data processing capabilities, optimize costs, and drive innovation.

By leveraging accelerated data processing using NVIDIA RAPIDS, Cognizant is complementing its Data Cloud Spend Management solutions and enhancing its leadership in cloud cost optimization and modernization, along with other solutions, such as Cognizant^® Skygrade™.

For more information, please visit data modernization at Cognizant. For more on NVIDIA RAPIDS, click here, and visit this link for more detail on the NVIDIA AI Enterprise software platform.

About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

For more information, contact:

U.S. Name Ben Gorelick Email benjamin.gorelick@cognizant.com

Europe / APAC Name Christina Schneider Email christina.schneider@cognizant.com

India Name Rashmi Vasisht Email rashmi.vasisht@cognizant.com

¹ Apache Spark is an open-source framework that simplifies the development and efficiency of data analytics jobs.
² In tests conducted by Cognizant in a lab environment

 

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SOURCE Cognizant Technology Solutions

FAQ

What are the key benefits of Cognizant's NVIDIA RAPIDS integration for cloud costs?

The integration provides 2.5x acceleration in workloads, 66% reduction in computing costs compared to CPU-processing, and 50-80% automation in cloud modernization processes.

How much cost reduction does Cognizant (CTSH) achieve with NVIDIA RAPIDS implementation?

Cognizant achieves a 66% reduction in computing costs compared to traditional CPU-processing through the NVIDIA RAPIDS implementation.

What performance improvements does Cognizant's (CTSH) new data modernization offering deliver?

The offering delivers 2.5x acceleration in data engineering and data science workloads, along with 50-80% automation in cloud modernization processes.