Cognizant Tackles Enterprise Cloud Cost Challenges with NVIDIA RAPIDS Cloud Modernization
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.
Cognizant (NASDAQ: CTSH) sta migliorando la sua offerta di modernizzazione dei dati integrando NVIDIA RAPIDS e il Cognizant® Data and Intelligence Toolkit per affrontare le sfide dei costi del cloud computing aziendale. La collaborazione si propone di ottimizzare le spese nel cloud e migliorare le performance attraverso un'infrastruttura basata su GPU.
I benchmark proprietari dimostrano un accelerazione di 2,5x nei carichi di lavoro di ingegneria dei dati e scienza dei dati, insieme a una riduzione del 66% nei costi di calcolo rispetto al processamento su CPU. La soluzione prevede di raggiungere una automazione del 50-80% nei processi di modernizzazione del cloud, aiutando le aziende ad accelerare le capacità di elaborazione dei dati ottimizzando i costi.
Cognizant (NASDAQ: CTSH) está mejorando su oferta de modernización de datos al integrar NVIDIA RAPIDS y el Cognizant® Data and Intelligence Toolkit para abordar los desafíos de costos en la computación en la nube empresarial. La colaboración tiene como objetivo optimizar los gastos en la nube y mejorar el rendimiento mediante una infraestructura basada en GPU.
Los benchmarks propietarios demuestran una aceleración de 2.5x en las cargas de trabajo de ingeniería de datos y ciencia de datos, junto con una reducción del 66% en los costos de computación en comparación con el procesamiento en CPU. Se espera que la solución alcance entre un 50-80% de automatización en los procesos de modernización de la nube, ayudando a las empresas a acelerar sus capacidades de procesamiento de datos mientras optimizan costos.
코그니잔트 (NASDAQ: CTSH)는 NVIDIA RAPIDS 및 Cognizant® 데이터 및 인텔리전스 툴킷을 통합하여 기업 클라우드 컴퓨팅 비용 문제를 해결함으로써 데이터 현대화 솔루션을 강화하고 있습니다. 이 협업의 목적은 GPU 기반 인프라를 통해 클라우드 비용을 최적화하고 성능을 향상시키는 것입니다.
독점 벤치마크 결과, 데이터 엔지니어링 및 데이터 과학 작업 부하에서 2.5배의 가속화와 CPU 처리에 비해 66%의 비용 절감이 나타났습니다. 이 솔루션은 클라우드 현대화 프로세스에서 50-80%의 자동화를 달성할 것으로 예상되며, 기업이 데이터 처리 능력을 가속화하고 비용을 최적화하는 데 도움을 줄 것입니다.
Cognizant (NASDAQ: CTSH) améliore son offre de modernisation des données en intégrant NVIDIA RAPIDS et le kit d'outils Cognizant® Data and Intelligence pour relever les défis des coûts du cloud computing d'entreprise. Cette collaboration vise à optimiser les dépenses en cloud et à améliorer les performances à travers une infrastructure basée sur des GPU.
Les benchmarks propriétaires démontrent une accélération de 2,5x dans les charges de travail en ingénierie des données et en science des données, accompagnée d'une réduction de 66% des coûts de calcul par rapport au traitement sur CPU. La solution devrait atteindre une automatisation de 50 à 80% dans les processus de modernisation du cloud, aidant ainsi les entreprises à accélérer leurs capacités de traitement des données tout en optimisant les coûts.
Cognizant (NASDAQ: CTSH) verbessert sein Angebot zur Datenmodernisierung durch die Integration von NVIDIA RAPIDS und dem Cognizant® Data and Intelligence Toolkit, um Herausforderungen im Bereich der Unternehmens-Cloud-Computing-Kosten zu begegnen. Die Zusammenarbeit zielt darauf ab, die Ausgaben in der Cloud zu optimieren und die Leistung durch eine GPU-basierte Infrastruktur zu steigern.
Eigene Benchmarks zeigen eine 2,5-fache Beschleunigung bei Datenengineering- und Datenwissenschafts-Arbeitslasten sowie eine 66%ige Kostenreduzierung im Vergleich zur CPU-Verarbeitung. Es wird erwartet, dass die Lösung eine Automatisierung von 50-80% in den Prozessen der Cloud-Modernisierung erreicht, was Unternehmen hilft, ihre Datenverarbeitungskapazitäten zu beschleunigen und gleichzeitig Kosten zu optimieren.
- 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
- None.
Insights
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
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
The financial implications of this partnership are substantial for both Cognizant and its enterprise clients. The demonstrated cost reduction of
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.
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:
Name Ben Gorelick | Name Christina Schneider | Name Rashmi Vasisht |
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
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