Cognizant (CTSH, Financials) partnered with NVIDIA (NVDA, Financials) to enhance its artificial intelligence portfolio across five strategic areas, aiming to accelerate enterprise-level AI adoption, the company announced Tuesday.
Using NVIDIA's technology, Cognizant said it is growing its Neuro AI platform to enable applications like industry-specific big language models, smart manufacturing digital twins, enterprise AI agents, and basic AI infrastructure. Plans of the firm were unveiled at the 2025 NVIDIA GPU Technology Conference.
Using technologies like NVIDIA Omniverse and RAPIDS Accelerator, along with NVIDIA's microservices—including NVIDIA NIM and NeMo—the partnership will incorporate artificial intelligence into business processes.
Cognizant claimed in one hospital deployment that their AI infrastructure improved Apache Spark performance by 1.8-times and cost efficiency by 2.7-times.
With an eye toward helping companies grow AI usage in operations and customer support, the firm underlined the use of low-code frameworks for deployment.
Furthermore mentioned by Cognizant is the development of specialized industry-specific big language models. In internal studies, one model for healthcare administrative chores allegedly cut time to market by 40% to 45%, increase coding accuracy by 30% to 40%, and decrease effort by 30% to 75%.
NVIDIA Omniverse will drive digital twin solutions for manufacturing by allowing simulations combining synthetic and real-world data for better layout design, predictive analytics, and capital allocation. These instruments seek to assist operations in factories, warehouses, and even municipal networks.
Cognizant intends to provide GPU solutions driven by NVIDIA in many environments—cloud, on-site, and edge for AI infrastructure. According to the business, this approach offers scalable, safe artificial intelligence use in many sectors.
Executives from both firms underlined the requirement of domain-specific data and infrastructure to enable enterprise-scale artificial intelligence.
