Latest news with #NVIDIANeMo
Scoop
08-05-2025
- Business
- Scoop
Nutanix Enables Agentic AI Anywhere With Latest Release Of Nutanix Enterprise AI
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, today announced the general availability of the latest version of the Nutanix Enterprise AI (NAI) solution, adding deeper integration with NVIDIA AI Enterprise, including NVIDIA NIM microservices and the NVIDIA NeMo framework, to speed the deployment of Agentic AI applications in the enterprise. NAI is designed to accelerate the adoption of generative AI in the enterprise by simplifying how customers build, run, and securely manage models and inferencing services at the edge, in the data centre, and in public clouds on any Cloud Native Computing Foundation® (CNCF)-certified Kubernetes® environment. The latest NAI release extends a shared model service methodology that simplifies agentic workflows, helping to make deployment and day two operations simpler. It streamlines the resources and models required to deploy multiple applications across lines of business with a secure, common set of embedding, reranking, and guardrail functional models for agents. This builds on the NAI core, which includes a centralised LLM model repository that creates secure endpoints that make connecting generative AI applications and agents simple and private. 'Nutanix is helping customers keep up with the fast pace of innovation in the Gen AI market,' said Thomas Cornely, SVP of Product Management at Nutanix. 'We've expanded Nutanix Enterprise AI to integrate new NVIDIA NIM and NeMo microservices so that enterprise customers can securely and efficiently build, run, and manage AI Agents anywhere.' 'Enterprises require sophisticated tools to simplify agentic AI development and deployment across their operations,' said Justin Boitano, Vice President of Enterprise AI Software Products at NVIDIA. 'Integrating NVIDIA AI Enterprise software including NVIDIA NIM microservices and NVIDIA NeMo into Nutanix Enterprise AI provides a streamlined foundation for building and running powerful and secure AI agents.' NAI for agentic applications can help customers: Deploy Agentic AI Applications with Shared LLM Endpoints - Customers can reuse existing deployed model endpoints as shared services for multiple applications. This re-use of model endpoints helps reduce usage of critical infrastructure components, including GPUs, CPUs, memory, file and object storage, and Kubernetes® clusters. Leverage a Wide Array of LLM Endpoints - NAI enables a range of agentic model services, including NVIDIA Llama Nemotron open reasoning models, NVIDIA NeMo Retriever and NeMo Guardrails.. NAI users can leverage NVIDIA AI Blueprints, which are pre-defined, customisable workflows, to jumpstart the development of their own AI applications that leverage NVIDIA models and AI microservices. In addition, NAI enables function calling for the configuration and consumption of external data sources to help AI agentic applications deliver more accurate and detailed results. Support Generative AI Safety - This new NAI release will help customers implement agentic applications in ways consistent with their organisation's policies using guardrail models. These models can filter initial user queries and LLM responses to prevent biased or harmful outputs and can also maintain topic control and jailbreak attempt detection. For example, NVIDIA NeMo Guardrails are LLMs that provide content filtering to filter out unwanted content and other sensitive topics. These can also be applied to code generation, providing improved reliability and consistency across models. Unlock Insights From Data with NVIDIA AI Data Platform - The Nutanix Cloud Platform solution builds on the NVIDIA AI Data Platform reference design and integrates the Nutanix Unified Storage and the Nutanix Database Service solutions for unstructured and structured data for AI. The Nutanix Cloud Infrastructure platform provides a private foundation for NVIDIA's accelerated computing, networking, and AI software to turn data into actionable intelligence. As an NVIDIA-Certified Enterprise Storage solution, Nutanix Unified Storage meets rigorous performance and scalability standards, providing software-defined enterprise storage for enterprise AI workloads, through capabilities such as NVIDIA GPUDirect Storage. NAI is designed to use additional Nutanix platform services while allowing flexible deployments on HCI, bare metal, and cloud IaaS. NAI customers can also leverage the Nutanix Kubernetes Platform solution for multicloud fleet management of containerised cloud native applications, and Nutanix Unified Storage (NUS) and Nutanix Database Service (NDB) as discrete data services, offering a complete platform for agentic AI applications. 'Customers can realise the full potential of generative AI without sacrificing control, which is especially important as businesses expand into agentic capabilities,' said Scott Sinclair, Practice Director, ESG. "This expanded partnership with NVIDIA provides organisations an optimised solution for agentic AI minimising the risk of managing complex workflows while also safeguarding deployment through secure endpoint creation for APIs. AI initiatives are employed to deliver strategic advantages, but those advantages can't happen without optimised infrastructure control and security." To learn more about how to get started with the latest NAI version and new NVIDIA capabilities, visit our latest blog post. NAI with agentic model support is now generally available. About Nutanix Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
Yahoo
07-05-2025
- Business
- Yahoo
Nutanix Enables Agentic AI Anywhere with Latest Release of Nutanix Enterprise AI
Nutanix, Inc. Integration with NVIDIA AI Enterprise adds new capabilities to accelerate the adoption of production agentic workloads in the enterprise WASHINGTON, May 07, 2025 (GLOBE NEWSWIRE) -- .NEXT Conference -- Nutanix (NASDAQ: NTNX ), a leader in hybrid multicloud computing, today announced the general availability of the latest version of the Nutanix Enterprise AI (NAI) solution, adding deeper integration with NVIDIA AI Enterprise, including NVIDIA NIM microservices and the NVIDIA NeMo framework, to speed the deployment of Agentic AI applications in the enterprise. NAI is designed to accelerate the adoption of generative AI in the enterprise by simplifying how customers build, run, and securely manage models and inferencing services at the edge, in the data center, and in public clouds on any Cloud Native Computing Foundation® (CNCF)-certified Kubernetes® environment. The latest NAI release extends a shared model service methodology that simplifies agentic workflows, helping to make deployment and day two operations simpler. It streamlines the resources and models required to deploy multiple applications across lines of business with a secure, common set of embedding, reranking, and guardrail functional models for agents. This builds on the NAI core, which includes a centralized LLM model repository that creates secure endpoints that make connecting generative AI applications and agents simple and private. 'Nutanix is helping customers keep up with the fast pace of innovation in the Gen AI market,' said Thomas Cornely, SVP of Product Management at Nutanix. 'We've expanded Nutanix Enterprise AI to integrate new NVIDIA NIM and NeMo microservices so that enterprise customers can securely and efficiently build, run, and manage AI Agents anywhere.' 'Enterprises require sophisticated tools to simplify agentic AI development and deployment across their operations,' said Justin Boitano, Vice President of Enterprise AI Software Products at NVIDIA. 'Integrating NVIDIA AI Enterprise software including NVIDIA NIM microservices and NVIDIA NeMo into Nutanix Enterprise AI provides a streamlined foundation for building and running powerful and secure AI agents.' NAI for agentic applications can help customers:
Yahoo
06-05-2025
- Business
- Yahoo
ServiceNow and NVIDIA Fuel a New Class of Intelligent AI Agents Across the Enterprise
To support ongoing model innovation and AI agent performance, ServiceNow and NVIDIA also unveiled a new collaboration on a joint data flywheel architecture that will integrate ServiceNow Workflow Data Fabric and select NVIDIA NeMo microservices. This integrated approach curates and contextualizes enterprise workflow data to refine and optimize reasoning models, with guardrails in place to help ensure that customers are in control of how their data is used and processed in a secure and compliant manner. This enables a closed-loop learning process that improves model accuracy and adaptability—accelerating the development and deployment of highly personalized, context-aware AI agents designed to enhance enterprise productivity. The Apriel Nemotron 15B reasoning model represents a significant step forward in developing compact, enterprise-grade LLMs purpose-built for real-time workflow execution. The model was trained using NVIDIA NeMo , the NVIDIA Llama Nemotron Post-Training Dataset, and ServiceNow domain-specific data with NVIDIA DGX Cloud on Amazon Web Services (AWS). It delivers advanced reasoning capabilities in a smaller size—making it faster, more efficient, and cost-effective to run on NVIDIA GPU infrastructure as an NVIDIA NIM microservice. Benchmarks show promising results for the model's size category, reinforcing its potential to power agentic AI workflows at scale. The debut of this model comes as enterprise AI continues to rise as a transformative force—helping businesses address growing complexity, navigate macroeconomic uncertainty, and drive smarter, more resilient operations. LAS VEGAS, May 06, 2025 --( BUSINESS WIRE )-- Knowledge 2025 – Today at ServiceNow's annual customer and partner event, Knowledge 2025 , ServiceNow and NVIDIA announced an expansion of their partnership to fuel a new class of intelligent AI agents across the enterprise. This includes the debut of a new high-performance ServiceNow reasoning model, Apriel Nemotron 15B—developed in partnership with NVIDIA—that evaluates relationships, applies rules, and weighs goals to reach conclusions or make decisions. The open-source LLM is post-trained with NVIDIA and ServiceNow-provided data, helping deliver lower latency, lower inference costs, and faster agentic AI. The companies also unveiled plans to bring accelerated data processing to ServiceNow Workflow Data Fabric with the integration of select NVIDIA NeMo microservices , driving a closed-loop data flywheel process that enhances model accuracy and personalized user experiences. Story Continues "With this new Apriel Nemotron 15B reasoning model, we're powering intelligent AI agents that can make context-aware decisions, adapt to complex workflows, and deliver personalized outcomes at scale," said Jon Sigler, EVP of Platform and AI at ServiceNow. "But the model is just one part of the innovation. Our collaboration building a data flywheel—powered by Workflow Data Fabric and NVIDIA NeMo—enables a virtuous cycle of learning and improvement. This helps us build AI agents that are contextually aware, deeply personalized, and aligned to the real-time needs of the enterprise." "NVIDIA and ServiceNow share a mission to reimagine employee productivity through AI tools that help people get more done," said Kari Briski, Vice President of Generative AI Software for Enterprise at NVIDIA. "Together, we've built the Apriel Nemotron 15B model to serve as an enterprise-grade reasoning engine and plan to integrate NVIDIA NeMo microservices into ServiceNow Workflow Data Fabric, providing a powerful foundation for intelligent digital agents." The new Apriel Nemotron 15B reasoning model and data flywheel integration will better equip AI agents to meet the growing demands of customers with continuous data and process feedback. For example, imagine an AI agent resolving a complex billing issue by pulling in past customer interactions, reasoning through the problem, and recommending the next best step—getting faster, more accurate, and more efficient with every case it handles. Together, ServiceNow and NVIDIA are turning enterprise data into real-time, personalized action. This latest milestone builds on the recently announced AI agent evaluation tools and integration of NVIDIA Llama Nemotron models with the ServiceNow AI Platform to accelerate agentic AI development. ServiceNow and NVIDIA have a shared vision of designing innovations that ensure LLMs—and the experiences they're powering—are not only intelligent, but also measurable, secure, and ready for real-world deployment. The co-development of the Apriel Nemotron 15B reasoning model and data flywheel integration marks a natural next step in the companies' deep partnership—furthering their collaboration to power enterprise workflows with greater speed, precision, and cost-efficiency. Availability The Apriel Nemotron 15B model is expected to be available in Q2 2025. Additional information: Learn more about ServiceNow Knowledge 2025. About ServiceNow ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: Forward-Looking Statements This press release contains "forward-looking statements" about the expectations, beliefs, plans, and intentions relating to new innovations ServiceNow and NVIDIA are co-developing. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow's results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow's financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time. © 2025 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated. View source version on Contacts Media Contact Katlyn Hirokawa 408-489-7381 press@
Business Wire
06-05-2025
- Business
- Business Wire
ServiceNow and NVIDIA Fuel a New Class of Intelligent AI Agents Across the Enterprise
LAS VEGAS--(BUSINESS WIRE)-- Knowledge 2025 – Today at ServiceNow's annual customer and partner event, Knowledge 2025, ServiceNow and NVIDIA announced an expansion of their partnership to fuel a new class of intelligent AI agents across the enterprise. This includes the debut of a new high-performance ServiceNow reasoning model, Apriel Nemotron 15B—developed in partnership with NVIDIA—that evaluates relationships, applies rules, and weighs goals to reach conclusions or make decisions. The open-source LLM is post-trained with NVIDIA and ServiceNow-provided data, helping deliver lower latency, lower inference costs, and faster agentic AI. The companies also unveiled plans to bring accelerated data processing to ServiceNow Workflow Data Fabric with the integration of select NVIDIA NeMo microservices, driving a closed-loop data flywheel process that enhances model accuracy and personalized user experiences. The new Apriel Nemotron 15B reasoning model and data flywheel integration will better equip AI agents to meet the growing demands of customers with continuous data and process feedback. Share The Apriel Nemotron 15B reasoning model represents a significant step forward in developing compact, enterprise-grade LLMs purpose-built for real-time workflow execution. The model was trained using NVIDIA NeMo, the NVIDIA Llama Nemotron Post-Training Dataset, and ServiceNow domain-specific data with NVIDIA DGX Cloud on Amazon Web Services (AWS). It delivers advanced reasoning capabilities in a smaller size—making it faster, more efficient, and cost-effective to run on NVIDIA GPU infrastructure as an NVIDIA NIM microservice. Benchmarks show promising results for the model's size category, reinforcing its potential to power agentic AI workflows at scale. The debut of this model comes as enterprise AI continues to rise as a transformative force—helping businesses address growing complexity, navigate macroeconomic uncertainty, and drive smarter, more resilient operations. To support ongoing model innovation and AI agent performance, ServiceNow and NVIDIA also unveiled a new collaboration on a joint data flywheel architecture that will integrate ServiceNow Workflow Data Fabric and select NVIDIA NeMo microservices. This integrated approach curates and contextualizes enterprise workflow data to refine and optimize reasoning models, with guardrails in place to help ensure that customers are in control of how their data is used and processed in a secure and compliant manner. This enables a closed-loop learning process that improves model accuracy and adaptability—accelerating the development and deployment of highly personalized, context-aware AI agents designed to enhance enterprise productivity. 'With this new Apriel Nemotron 15B reasoning model, we're powering intelligent AI agents that can make context-aware decisions, adapt to complex workflows, and deliver personalized outcomes at scale,' said Jon Sigler, EVP of Platform and AI at ServiceNow. 'But the model is just one part of the innovation. Our collaboration building a data flywheel—powered by Workflow Data Fabric and NVIDIA NeMo—enables a virtuous cycle of learning and improvement. This helps us build AI agents that are contextually aware, deeply personalized, and aligned to the real-time needs of the enterprise.' 'NVIDIA and ServiceNow share a mission to reimagine employee productivity through AI tools that help people get more done,' said Kari Briski, Vice President of Generative AI Software for Enterprise at NVIDIA. 'Together, we've built the Apriel Nemotron 15B model to serve as an enterprise-grade reasoning engine and plan to integrate NVIDIA NeMo microservices into ServiceNow Workflow Data Fabric, providing a powerful foundation for intelligent digital agents.' The new Apriel Nemotron 15B reasoning model and data flywheel integration will better equip AI agents to meet the growing demands of customers with continuous data and process feedback. For example, imagine an AI agent resolving a complex billing issue by pulling in past customer interactions, reasoning through the problem, and recommending the next best step—getting faster, more accurate, and more efficient with every case it handles. Together, ServiceNow and NVIDIA are turning enterprise data into real-time, personalized action. This latest milestone builds on the recently announced AI agent evaluation tools and integration of NVIDIA Llama Nemotron models with the ServiceNow AI Platform to accelerate agentic AI development. ServiceNow and NVIDIA have a shared vision of designing innovations that ensure LLMs—and the experiences they're powering—are not only intelligent, but also measurable, secure, and ready for real-world deployment. The co-development of the Apriel Nemotron 15B reasoning model and data flywheel integration marks a natural next step in the companies' deep partnership—furthering their collaboration to power enterprise workflows with greater speed, precision, and cost-efficiency. Availability The Apriel Nemotron 15B model is expected to be available in Q2 2025. Additional information: Learn more about ServiceNow Knowledge 2025. About ServiceNow ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: Forward-Looking Statements This press release contains 'forward-looking statements' about the expectations, beliefs, plans, and intentions relating to new innovations ServiceNow and NVIDIA are co-developing. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow's results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow's financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time. © 2025 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated.
Channel Post MEA
03-03-2025
- Business
- Channel Post MEA
ServiceNow Introduces AI Agents Built For Telecom Industry
ServiceNow has announced the introduction of AI agents for the telecom industry. The AI agents were built with NVIDIA AI Enterprise software and the AI platform, NVIDIA DGX Cloud. The agents are designed to drive productivity across the entire service lifecycle. The first use cases will put AI agents to work for communications service providers (CSPs) to autonomously solve some of the most common, labor‑intensive workflows in customer service and network operations. The combination of ServiceNow's AI platform with NVIDIA NIM microservices and NVIDIA NeMo, both part of NVIDIA AI Enterprise, brings industry‑specific, out‑of‑the‑box AI agents and delivers a full‑stack agentic AI solution for CSPs to help resolve problems faster and deliver great customer experiences. AI is changing the way telecoms provide service and interact with customers, from automating routine tasks and enhancing self‑service options to enabling human agents to focus on complex issues and speed up customer response times. According to McKinsey, telecom companies could unlock up to $250 billion in value by 2040 by implementing advanced responsible AI practices, turning exceptional customer service into a strategic business advantage. 'AI continues to be the key driver of business transformation in telecom, and ServiceNow, working with NVIDIA, is playing a pivotal role in this shift,' said Rohit Batra, general manager and vice president for manufacturing, telecommunications, media, and technology at ServiceNow. 'The launch of new AI agents developed specifically for the telecom industry demonstrates our continued commitment to building solutions that help solve the biggest challenges facing business leaders. ServiceNow has been at the forefront of AI innovation for years, and this collaboration with NVIDIA marks the next step in delivering agentic AI‑powered automation that transforms how CSPs operate and serve their customers.' 'Telcos require AI acceleration to transform their operations,' said Chris Penrose, telco global VP of business development at NVIDIA. 'By creating NVIDIA‑powered AI agents to enhance telecom workflows for network operations and customer experience, ServiceNow is helping its customers improve efficiency, optimize costs, and enhance customer satisfaction.' Transforming operations through agentic AI New ready‑to‑use AI agents provide CSPs with automation and intelligence capabilities specifically designed to address their unique challenges—building upon the AI agents that are being rolled out to nearly 1,000 customers with GenAI capabilities on the ServiceNow Platform—and enabling them to collaborate, learn, reason, and solve problems on their own. Designed for the telecommunications industry, the AI agents use specialized frameworks and advanced reasoning to repair networks, address service disruptions, and help prevent customer issues before they happen. These AI agents take intelligent, context‑aware actions that work across the service lifecycle, including: Service test and repair : Offers faster, more seamless issue resolution. AI agents analyze network data, diagnose issues, recommend solutions, and coordinate repair actions, including field engineer scheduling. : Offers faster, more seamless issue resolution. AI agents analyze network data, diagnose issues, recommend solutions, and coordinate repair actions, including field engineer scheduling. Network incident analysis: Leverages AI to detect network alerts, identify the root cause, and resolve service disruptions faster. AI agents generate resolution playbooks and help predict potential network disruptions before they impact customers, helping CSPs reduce resolution time and improve customer satisfaction. Leverages AI to detect network alerts, identify the root cause, and resolve service disruptions faster. AI agents generate resolution playbooks and help predict potential network disruptions before they impact customers, helping CSPs reduce resolution time and improve customer satisfaction. Billing resolution: AI agents autonomously identify unusual usage patterns, provide real‑time charge explanations, and recommend more cost‑effective plans. By improving transparency and reducing unexpected charges, CSPs can reduce billing complaints and call center volume. A collaboration built for the future of the telecom industry ServiceNow and NVIDIA are expanding their collaboration on AI‑powered automation solutions by introducing vertical‑specific agentic AI solutions to drive productivity, improve customer experiences, and simplify operations. 'By combining ServiceNow's AI‑driven platform with NVIDIA's advanced AI technology, CSPs are equipped with intelligent automation that enhances network operations and customer service,' said John Byrne, Research Vice President, Communications Service Provider Operations & Monetization industry practice, IDC. 'This collaboration has the potential to enable telecom providers to drive faster resolutions, improve reliability, and enhance customer experiences at scale.' These innovations build on last year's announcement of Now Assist for Telecommunications Service Management (TSM)—a breakthrough solution that helps telcos put AI to work across customer service and network operations to enhance agent productivity, accelerate service resolution, and improve customer experience. Since then, ServiceNow has worked closely with NVIDIA to embed agentic AI‑driven automation into the core of telecom operations, allowing providers to further improve efficiency and deliver better customer experiences with the assistance of autonomous AI agents. Managing AI agent performance Agentic AI without unification creates complexity. ServiceNow's recently announced AI Agent Orchestrator acts as the central control tower for all AI agents, helping to ensure teams of specialized AI agents work together across tasks, systems, and departments to achieve a specific goal. For use cases beyond the out‑of‑the‑box AI agents, the recent introduction of AI Agent Studio empowers enterprises across industries to build and refine custom workflows without complex coding, making it easier to put agentic AI capabilities to work for their specific operational challenges. Workflow Data Fabric serves as the foundation for this agentic AI innovation, seamlessly connecting enterprise‑wide data to power intelligent automation. By accessing both structured and unstructured data wherever it resides, ServiceNow AI Agents can drive smarter decisions and deliver meaningful business outcomes. 0 0
