Latest news with #NVIDIAAI
NBC News
28-04-2025
- Business
- NBC News
IBM pledges $150 billion to boost U.S. tech growth, computer manufacturing
International Business Machines Corporation on Monday announced it will invest $150 billion in the U.S. over the next five years, including more than $30 billion to advance American manufacturing of its mainframe and quantum computers. 'We have been focused on American jobs and manufacturing since our founding 114 years ago, and with this investment and manufacturing commitment we are ensuring that IBM remains the epicenter of the world's most advanced computing and AI capabilities,' IBM CEO Arvind Krishna said in a release. The company's announcement comes weeks after President Donald Trump unveiled a far-reaching and aggressive 'reciprocal' tariff policy to boost manufacturing in the U.S. As of late April, Trump has exempted chips, as well as smartphones, computers, and other tech devices and components, from the tariffs. IBM said its investment will help accelerate America's role as a global leader in computing and fuel the economy. The company said it operates the 'world's largest fleet of quantum computer systems,' and will continue to build and assemble them in the U.S., according to the release. IBM competitor Nvidia, the chipmaker that has been the primary benefactor of the artificial intelligence boom, announced a similar push earlier this month to produce its NVIDIA AI supercomputers entirely in the U.S. Nvidia plans to produce up to $500 billion of AI infrastructure in the U.S. via its manufacturing partnerships over the next four years. Last week, IBM reported better-than-expected first-quarter results. The company said it generated $14.54 billion in revenue for the period, above the $14.4 billion expected by analysts. IBM's net income narrowed to $1.06 billion, or $1.12 per share, from $1.61 billion, or $1.72 per share, in the same quarter a year ago. IBM's infrastructure division, which includes mainframe computers, posted $2.89 billion in revenue for the quarter, beating expectations of $2.76 billion. The company announced a new z17 AI mainframe earlier this month.
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
TECHx
21-03-2025
- Business
- TECHx
Nutanix Integrates NVIDIA AI for Scalable, Real-Time Insights - TECHx Media Nutanix Integrates NVIDIA AI for Scalable, Real-Time Insights
Nutanix Integrates NVIDIA AI for Scalable, Real-Time Insights Nutanix has integrated the NVIDIA AI Data Platform into the Nutanix Cloud Platform, enabling enterprises to harness agentic AI and unlock the full potential of their data. This collaboration enhances AI-driven decision-making with unmatched speed and scalability, revolutionizing business operations. The Nutanix Cloud Platform, built on NVIDIA's AI innovations, provides enterprises with a fully integrated AI infrastructure, allowing them to process, analyze, and act on data in real time. By leveraging Nutanix Unified Storage, the AHV hypervisor, and the AOS Storage Operating System, along with NVIDIA's accelerated computing, networking, and AI software, businesses gain a high-performance, scalable foundation for complex AI workloads. As a certified NVIDIA Enterprise Storage solution, Nutanix Unified Storage meets rigorous performance and scalability standards, delivering optimized storage for AI-driven workloads. The software-defined architecture ensures enterprises can scale from terabytes to petabytes, while managing AI data efficiently. Key benefits include scalable high-performance storage, hybrid and multicloud flexibility, and intelligent data management with built-in ransomware protection. With seamless deployment across on-premises, edge, and cloud environments, businesses can bridge private and public clouds for enhanced AI operations. Nutanix Cloud Platform is engineered to handle modern AI workloads, integrating NVIDIA Blackwell GPUs, BlueField-3 DPUs, Spectrum-X networking, and AI Enterprise software to process massive datasets at ultra-fast speeds. NVIDIA GPUDirect Storage enhances low-latency, high-throughput data access, ensuring optimal AI efficiency. Nutanix Unified Storage has demonstrated industry-leading performance in MLPerf Storage Benchmark tests, supporting over 1,000 simulated NVIDIA H100 GPUs for AI-driven image classification workloads. As AI adoption accelerates, enterprises must efficiently manage vast amounts of unstructured data. Nutanix Unified Storage simplifies this challenge with built-in replication, migration, and a global namespace, ensuring seamless data accessibility across hybrid cloud environments. The Nutanix Central management platform provides a unified SaaS-based interface, enabling enterprises to monitor and control their AI storage infrastructure in real time. Security remains a top priority, with Data Lens-powered intelligent data protection ensuring end-to-end ransomware resilience, compliance, and lifecycle management. This robust security framework allows enterprises to scale AI workloads while maintaining data integrity and privacy. The Nutanix Cloud Platform, which includes Nutanix Unified Storage, the Nutanix Kubernetes Platform, Nutanix Enterprise AI, Nutanix Central, and Nutanix Cloud Manager, provides a comprehensive hybrid cloud solution that streamlines IT operations and enhances AI-driven business transformation. By combining Nutanix Cloud Platform with NVIDIA AI Data Platform, enterprises gain a powerful AI infrastructure designed to deliver real-time insights, accelerate innovation, and drive digital transformation.
Zawya
21-03-2025
- Business
- Zawya
Trend Micro to Open-source Model and AI Agent to Drive the Future of Agentic Cybersecurity
Leveraging NVIDIA AI to deliver powerful proactive security and scalable threat prevention for GenAI applications Enhance security posture: enabling teams to precisely anticipate risk across the entire attack surface. enabling teams to precisely anticipate risk across the entire attack surface. Reduce alert overload : alleviate fatigue for SecOps teams through more accurate prioritization. : alleviate fatigue for SecOps teams through more accurate prioritization. Save developers' time : overcome security skills shortages by providing actionable insights to help them identify and remediate risks. : overcome security skills shortages by providing actionable insights to help them identify and remediate risks. Unleash greater value: deliver more powerful insights from existing risk sensors. HONG KONG SAR - Media OutReach Newswire - 21 March 2025 - Trend Micro Incorporated TSE: 4704 ), a global cybersecurity leader, today announced the open-sourcing of Trend Cybertron, an AI model and agent framework designed to accelerate the development of autonomous cybersecurity agents. As one of the first specialized cybersecurity LLMs, it provides organizations and researchers worldwide access to advanced cybersecurity capabilities at no cost. The specialized Trend Cybertron model is fine-tuned using Llama 3.1 and supports rapid, reliable deployment with NVIDIA NIM inference microservices on NVIDIA accelerated infrastructure."The secret sauce of Trend Cybertron is the data it continuously learns from, fine-tuned for optimized threat detection and mitigation. By bringing to bear the very highest quality threat data and NVIDIA's industry-leading AI expertise, we've madeproactive security a reality, enabling us to predict and prevent threats like never before. This innovation isn't just a win for our customers—it's about making the entire digital, connected world a safer place."Global organizations are struggling to innovate and grow while being weighed down by security challenges, fragmented point solutions, and an overwhelming flood of threat alerts. The complexity demands a shift to a proactive approach. Powered by NVIDIA AI at the core, Trend Cybertron moves beyond chasing threats, applying intelligent, decision-making AI agents to predict and respond.: "With the ability to understand, reason and take action, AI agents give organizations a powerful new cybersecurity tool. Agentic AI security agents built with the Trend Cybertron model and framework using NVIDIA AI can analyze massive amounts of data in real time to detect potential threats, adapt dynamically, and respond autonomously. "To operationalize this vision, Trend has built its agentic AI strategy with NVIDIA AI software to accelerate cybersecurity automation, helping organizations proactively manage risks with resource scanning, risk assessment, priority-based reasoning, and actionable remediation can apply multiple blueprints and seamlessly integrate AI agents to automate security tasks with resource scanning, proactively mitigate threats, and scale their defenses to manage threats more effectively, all within the NVIDIA ecosystem. Specifically, this will help:Trend Cybertron is designed to proactively manage risk, leveraging threat intelligence from over 250 million sensors worldwide—the broadest in the industry. It interprets user queries, generates actionable plans, and performs a holistic risk assessment by retrieving real-time cybersecurity intelligence from Trend Micro's cloud, ultimately providing with tailored recommendations and best practices to secure an enterprise's AI provided support and AI microservices for developing and deploying the model. Trend Micro trained and optimized the Trend Cybertron model for inference using NVIDIA DGX supercomputing to reduce the time required to fine-tune the Cybertron currently consists of an 8-billion-parameter AI model and an initial specialized AI agent, with additional models and agents in development to expand its cybersecurity capabilities. A larger and more advanced version with 70-billion-parameter of the model is planned for the near future to address the cybersecurity challenges of #trendmicro #trendvisionone #visionone #cybersecurity #trendcybertron #cybertron The issuer is solely responsible for the content of this announcement. Trend Micro Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend Micro's cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. As a leader in cloud and enterprise cybersecurity, the platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response. With 7,000 employees across 65 countries, Trend Micro enables organizations to simplify and secure their connected world. Trend Micro
