Latest news with #JayPuri
Time of India
14-05-2025
- Business
- Time of India
An Indian-origin executive in Nvidia just saw a pay rise from 13.6 to 21.6 million dollars
Top executives at Nvidia, now valued at $3 trillion, significantly outperformed their revenue and operating income targets for fiscal 2025—surpassing even the aggressive stretch goals set by the board's compensation committee. As a result, the board approved maximum performance-based payouts for CEO Jensen Huang and his leadership team. Huang also received his first salary increase in a decade, while some senior executives saw their total compensation jump by as much as 70%. Huang's base salary was raised by 50% last year, but that increase is just a small portion of his total compensation, which approached $50 million, reported Fortune. ALSO READ: Nvidia's Jensen Huang gets 46% hike, bags $50 million pay cheque in FY25; Here's his salary breakdown 5 5 Next Stay Playback speed 1x Normal Back 0.25x 0.5x 1x Normal 1.5x 2x 5 5 / Skip Ads by by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Play War Thunder now for free War Thunder Play Now Undo Jay Puri's salary sees massive hike While CFO Colette Kris received a compensation package of $21.4 million, up from $13.27 million in the prior year, and Jay Puri, head of worldwide field operations, was awarded $21.6 million versus $13.6 million. Jay Puri serves as executive vice president of Worldwide Field Operations responsible for NVIDIA's global business. He oversees the company's sales, business development, partner alliances, solution architecture and engineering, program management and support services organizations, according to his profile on Nvidia's official website. Live Events Puri joined NVIDIA in 2005, following a 22-year tenure at Sun Microsystems, where he held various leadership roles across sales, marketing, and general management. His positions included Senior Vice President of Sun's Asia-Pacific Group, Vice President of Worldwide Sales for Software and Technology, President of Nihon Sun KK, and Vice President of Worldwide Product Marketing. ALSO READ: With Trump in Middle East, Tulsi Gabbard's old post blasting US President over 'America First' re-surfaces Since joining NVIDIA, the company has evolved into the world's premier platform for accelerated computing and generative AI. Prior to his time at NVIDIA and Sun, Puri held roles in marketing, management consulting, and product development at Hewlett-Packard, Booz Allen & Hamilton, and Texas Instruments. He earned a Bachelor of Science in Electrical Engineering with high distinction from the University of Minnesota, a Master of Science in Electrical Engineering from the California Institute of Technology, and an MBA from Harvard Business School. Nvidia CEO Jensen Huang's salary Nvidia CEO Jensen Huang got a 50% base pay raise last year but that barely accounts for his nearly $50 million pay package. Nvidia announced on Tuesday that CEO Jensen Huang's total compensation for fiscal year 2025, including cash and stock, reached $49.9 million—up from $34.2 million the previous year. The increase reflects company-wide executive pay adjustments, including a $7 million boost to Huang's target compensation to better align with market standards. ALSO READ: Sean Diddy Combs' trial: Cassie Ventura reveals creepy nickname he forced her to call him during 'freak offs' Notably, Huang received his first base salary raise in ten years. The announcement followed a strong financial performance for Nvidia, with fiscal 2025 revenues hitting $130.5 billion, operating income at $86.8 billion, and a three-year total shareholder return of 384%. Nestled among that workforce are the children of Huang. "The daughter and son of Jen-Hsun Huang, our President and CEO and a member of our Board, are employed by the Company," Nvidia says in the document. "The total compensation for Fiscal 2025 of the daughter and son of Mr. Huang was approximately $1,130,000 and $530,000, respectively," the statement added.
Yahoo
25-03-2025
- Business
- Yahoo
Cognizant Taps Nvidia to Power Neuro AI Rollout Across Multiple Sectors
Cognizant (NASDAQ:CTSH) has announced plans to broaden adoption of its Neuro AI platform by partnering with Nvidia (NASDAQ:NVDA) to enhance AI-driven solutions across multiple sectors. Warning! GuruFocus has detected 2 Warning Sign with CTSH. The collaboration focuses on areas such as enterprise AI agents, industry-tailored large language models, smart manufacturing digital twins, and the foundational infrastructure required for artificial intelligence. Nvidia's AI technology is a core component in Cognizant's offerings, with active customer engagements already in progress across various industries to support digital transformation and growth. Jay Puri, executive vice president at Nvidia, noted that effective AI implementation at scale demands an integrated stack of software and infrastructure combined with access to domain-specific data. He added that the Neuro AI platform is designed to help businesses prepare for the AI era with reasoning agents and digital twin technology. Performance-wise, Cognizant shares have declined 7.82% over the past month, slightly underperforming Nvidia's 6.80% drop. Over three months, Cognizant is down 1.61% while Nvidia has fallen 13.41%. On a six-month horizon, Cognizant gained 3.25%, outpacing Nvidia's 0.46% increase. In the nine-month view, Cognizant advanced 14.77% versus Nvidia's 2.82%. This article first appeared on GuruFocus.
Globe and Mail
25-03-2025
- Business
- Globe and Mail
Cognizant to Deploy Neuro AI Platform to Accelerate Enterprise AI Adoption in Collaboration with NVIDIA
Cognizant will offer solutions across key growth areas, including enterprise AI agents, tailored industry large language models and infrastructure with NVIDIA AI. TEANECK, N.J. , March 25, 2025 /CNW/ -- Cognizant (NASDAQ: CTSH) announced advancements built on NVIDIA AI aimed at accelerating the cross-industry adoption of AI technology in five key areas: enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational infrastructure for AI, and the capabilities of Cognizant's Neuro ® AI platform to integrate NVIDIA AI technology and orchestrate across the enterprise technology stack. Cognizant is working with global clients to help them scale AI value efficiently, leveraging extensive industry experience and a comprehensive AI ecosystem comprising infrastructure, data, models, and agent development powered by proprietary platforms and accelerators. NVIDIA AI plays a key role in Cognizant's AI offerings, with active client engagements underway across industries to enable growth and business transformation. "We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI," said Annadurai Elango , president, Core Technologies and Insights, Cognizant. "Through our collaboration with NVIDIA, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions." "From models to applications, enterprise AI transformation requires full-stack software and infrastructure with access to domain-specific data," said Jay Puri , executive vice president of Worldwide Field Operations, NVIDIA. "The Cognizant Neuro AI platform is built with NVIDIA AI to deliver specialized LLMs and applications to ready businesses for the era of AI with reasoning agents and digital twins." At NVIDIA GTC 2025, Cognizant presented its intent to deliver offering updates across the following five areas: Enterprise AI agentification powered by Cognizant ® Neuro AI Multi-Agent Accelerator: Running on NVIDIA NIM ™ microservices, this framework will enable clients to rapidly build and scale multi-agent AI systems for adaptive operations, real-time decision-making and personalized customer experiences. With these frameworks clients can create and orchestrate agents using a low-code framework or use pre-built agent networks for various enterprise functions and industry-specific processes such as sales, marketing, and supply chain management. The frameworks also allow clients to easily integrate third-party agent networks and most LLMs. Building multi agents for scale: Cognizant works to enhance business operations through the use of multi-agent systems and integration with NVIDIA NIM, NVIDIA Blueprints, and NVIDIA Riva speech AI. The company will be developing a future-proof agent architecture that supports modular and adaptable agent design to meet evolving needs and the long-term viability and adaptability of AI solutions. This includes pre-built integrations with security guardrails and human oversight. This approach aims to enable enterprises to develop and deploy market-ready applications tailored to their specific needs using the pre-built agent catalog. Examples include industry agents such as insurance claims underwriting multi-agent systems, appeals and grievances multi-agent systems, automated supply chain multi-agent systems and contract management multi-agent systems. Industry LLMs: Cognizant is developing industry-oriented LLMs powered by NVIDIA NeMo and NVIDIA NIM. These solutions are tailored to meet the unique needs of different industries and build on Cognizant's deep industry expertise to drive innovation and improve business outcomes. For example, Cognizant has developed a fine-tuned language model to transform healthcare administrative processes. This system will leverage Cognizant's domain expertise and NVIDIA technology to enhance medical code extraction and support higher accuracy, reduced errors, and better compliance with HIPAA and GDPR standards. It is designed to help clients cut costs, decrease latency, improve revenue cycle management and help ensure accurate risk adjustment. In internal Cognizant benchmarking, the model has demonstrated effectiveness in reducing effort by 30-75 percent, boosting coding accuracy by 30-40 percent, and accelerating time to market by 40-45 percent. Industrial digital twins: Cognizant's smart manufacturing and digital twin offerings, accelerated by NVIDIA Omniverse ™, will aim to drive digital transformation by combining NVIDIA Omniverse's synthetic data generation, accelerated computing, and physical AI simulation technologies to address challenges in manufacturing operations and supply chain management. These capabilities will be designed to assist clients in enhancing plant layout and process simulations with real-time insights and predictive analytics, while also supporting improved operational efficiency and optimized plant capital expenditure. This offering enables integration of diverse data from applications, systems and sensors with synthetic data, allowing clients to simulate various scenarios and find solutions to issues in the plant. Additionally, by building the necessary digital infrastructure, including IT systems and skilled personnel, Cognizant's offerings can be used to create and manage digital twins for large-scale systems, such as factories, smart grids, warehouses, or entire cities, with precision and efficiency. Infrastructure for AI: Implementing AI effectively requires robust AI infrastructure and data prepared for AI. Cognizant's infrastructure for AI, accelerated by NVIDIA, will provide clients access to NVIDIA AI technology via "GPU as a Service", along with secure and managed infrastructure. This helps ensure that AI models can be run in various environments, including the cloud, data centers or at the edge. Additionally, Cognizant intends to use NVIDIA RAPIDS ™ Accelerator for Apache Spark to help clients accelerate data pipelines for AI implementations, facilitating efficient and scalable operations. In one example implementation for a large healthcare client in the U.S., use of Cognizant's infrastructure for AI resulted in a 2.7x cost efficiency improvement and a 1.8x enhancement in the performance of their Spark workloads. "As we enter the era of AI industrialization, enterprises are seeking to accelerate the value velocity of their AI investments—focusing on outsized economic impact, agentic-led workflow transformation, and industry-specific deployments," said Nitish Mittal , Partner, Everest Group. "Cognizant's deepening partnership with NVIDIA signals the right trajectory for forward-thinking enterprises aiming to unlock breakthrough value in the AI era." 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 or @cognizant.
Yahoo
25-03-2025
- Business
- Yahoo
Cognizant to Deploy Neuro AI Platform to Accelerate Enterprise AI Adoption in Collaboration with NVIDIA
Cognizant will offer solutions across key growth areas, including enterprise AI agents, tailored industry large language models and infrastructure with NVIDIA AI. TEANECK, N.J., March 25, 2025 /CNW/ -- Cognizant (NASDAQ: CTSH) announced advancements built on NVIDIA AI aimed at accelerating the cross-industry adoption of AI technology in five key areas: enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational infrastructure for AI, and the capabilities of Cognizant's Neuro® AI platform to integrate NVIDIA AI technology and orchestrate across the enterprise technology stack. Cognizant is working with global clients to help them scale AI value efficiently, leveraging extensive industry experience and a comprehensive AI ecosystem comprising infrastructure, data, models, and agent development powered by proprietary platforms and accelerators. NVIDIA AI plays a key role in Cognizant's AI offerings, with active client engagements underway across industries to enable growth and business transformation. "We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI," said Annadurai Elango, president, Core Technologies and Insights, Cognizant. "Through our collaboration with NVIDIA, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions." "From models to applications, enterprise AI transformation requires full-stack software and infrastructure with access to domain-specific data," said Jay Puri, executive vice president of Worldwide Field Operations, NVIDIA. "The Cognizant Neuro AI platform is built with NVIDIA AI to deliver specialized LLMs and applications to ready businesses for the era of AI with reasoning agents and digital twins." At NVIDIA GTC 2025, Cognizant presented its intent to deliver offering updates across the following five areas: Enterprise AI agentification powered by Cognizant® Neuro AI Multi-Agent Accelerator: Running on NVIDIA NIM™ microservices, this framework will enable clients to rapidly build and scale multi-agent AI systems for adaptive operations, real-time decision-making and personalized customer experiences. With these frameworks clients can create and orchestrate agents using a low-code framework or use pre-built agent networks for various enterprise functions and industry-specific processes such as sales, marketing, and supply chain management. The frameworks also allow clients to easily integrate third-party agent networks and most LLMs. Building multi agents for scale: Cognizant works to enhance business operations through the use of multi-agent systems and integration with NVIDIA NIM, NVIDIA Blueprints, and NVIDIA Riva speech AI. The company will be developing a future-proof agent architecture that supports modular and adaptable agent design to meet evolving needs and the long-term viability and adaptability of AI solutions. This includes pre-built integrations with security guardrails and human oversight. This approach aims to enable enterprises to develop and deploy market-ready applications tailored to their specific needs using the pre-built agent catalog. Examples include industry agents such as insurance claims underwriting multi-agent systems, appeals and grievances multi-agent systems, automated supply chain multi-agent systems and contract management multi-agent systems. Industry LLMs: Cognizant is developing industry-oriented LLMs powered by NVIDIA NeMo and NVIDIA NIM. These solutions are tailored to meet the unique needs of different industries and build on Cognizant's deep industry expertise to drive innovation and improve business outcomes. For example, Cognizant has developed a fine-tuned language model to transform healthcare administrative processes. This system will leverage Cognizant's domain expertise and NVIDIA technology to enhance medical code extraction and support higher accuracy, reduced errors, and better compliance with HIPAA and GDPR standards. It is designed to help clients cut costs, decrease latency, improve revenue cycle management and help ensure accurate risk adjustment. In internal Cognizant benchmarking, the model has demonstrated effectiveness in reducing effort by 30-75 percent, boosting coding accuracy by 30-40 percent, and accelerating time to market by 40-45 percent. Industrial digital twins: Cognizant's smart manufacturing and digital twin offerings, accelerated by NVIDIA Omniverse™, will aim to drive digital transformation by combining NVIDIA Omniverse's synthetic data generation, accelerated computing, and physical AI simulation technologies to address challenges in manufacturing operations and supply chain management. These capabilities will be designed to assist clients in enhancing plant layout and process simulations with real-time insights and predictive analytics, while also supporting improved operational efficiency and optimized plant capital expenditure. This offering enables integration of diverse data from applications, systems and sensors with synthetic data, allowing clients to simulate various scenarios and find solutions to issues in the plant. Additionally, by building the necessary digital infrastructure, including IT systems and skilled personnel, Cognizant's offerings can be used to create and manage digital twins for large-scale systems, such as factories, smart grids, warehouses, or entire cities, with precision and efficiency. Infrastructure for AI: Implementing AI effectively requires robust AI infrastructure and data prepared for AI. Cognizant's infrastructure for AI, accelerated by NVIDIA, will provide clients access to NVIDIA AI technology via "GPU as a Service", along with secure and managed infrastructure. This helps ensure that AI models can be run in various environments, including the cloud, data centers or at the edge. Additionally, Cognizant intends to use NVIDIA RAPIDS™ Accelerator for Apache Spark to help clients accelerate data pipelines for AI implementations, facilitating efficient and scalable operations. In one example implementation for a large healthcare client in the U.S., use of Cognizant's infrastructure for AI resulted in a 2.7x cost efficiency improvement and a 1.8x enhancement in the performance of their Spark workloads. "As we enter the era of AI industrialization, enterprises are seeking to accelerate the value velocity of their AI investments—focusing on outsized economic impact, agentic-led workflow transformation, and industry-specific deployments," said Nitish Mittal, Partner, Everest Group. "Cognizant's deepening partnership with NVIDIA signals the right trajectory for forward-thinking enterprises aiming to unlock breakthrough value in the AI era." About CognizantCognizant (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 or @cognizant. For more information, contact: U.S. Name Ben Gorelick Email Europe / APAC Name Christina Schneider Email India Name Rashmi Vasisht Email View original content to download multimedia: SOURCE Cognizant View original content to download multimedia: Sign in to access your portfolio
