Latest news with #NVIDIANeMo
Channel Post MEA
6 days ago
- Business
- Channel Post MEA
Dataiku And NVIDIA Unveil FSI Blueprint AI Systems In Financial services.
Dataiku has announced a new FSI Blueprint for deploying agentic AI systems in financial services. This blueprint is designed to help banking and insurance institutions create, connect, and control intelligent AI agents at scale—with the governance, performance, and flexibility required for production in these highly regulated industries. This announcement builds on Dataiku's integration in the NVIDIA Enterprise AI Factory validated design, which helps enterprises accelerate the development and deployment of secure, scalable AI infrastructure. 'AI agents represent the next major shift in enterprise productivity, and banks are among the earliest adopters,' said Malcolm deMayo, Vice President of Global Financial Services at NVIDIA. 'This new bank blueprint from Dataiku, accelerated by NVIDIA, combines reusable components that enable banks to automate thousands of repetitive manual tasks. This allows institutions to deploy intelligent systems that can adapt to complex workflows and evolve responsibly over time—all while meeting regulatory and compliance requirements through central governance.' The FSI Blueprint combines The Universal AI Platform and Dataiku LLM Mesh with NVIDIA NIMmicroservices, NVIDIA NeMo, and GPU-accelerated infrastructure. It leverages AI agents powered by NVIDIA to provide financial institutions with a secure and modular foundation for building agentic AI solutions across use cases like fraud detection, customer service, risk analysis, and operations automation. 'Financial institutions are under pressure to operationalize AI faster, while managing risk, regulation, and complexity,' said John McCambridge, Global Head of Financial Services at Dataiku. 'This FSI Blueprint helps banks and insurers move beyond experimentation, delivering trusted AI agents that are observable, cost-controlled, and designed to deliver meaningful business value.' The Dataiku LLM Mesh offers native integration with NVIDIA NIM to simplify deployment of open, proprietary, and custom models within financial environments. Guardrails within Dataiku LLM Guard Services, such as Cost Guard and Quality Guard, provide built-in oversight, giving IT and product teams control over model usage, cost optimization, and performance evaluation. The collaboration between Dataiku and NVIDIA was unveiled during NVIDIA GTC Paris at VivaTech 2025. The FSI Blueprint represents the first in a series of joint initiatives to drive agentic AI innovation in highly regulated industries, with expansion planned into life sciences and energy. Financial institutions interested in deploying the FSI Blueprint can engage directly with joint go-to-market teams from Dataiku and NVIDIA. To learn from Dataiku and NVIDIA experts how to seamlessly integrate GenAI and agents across different compute environments and front-end applications, register for the FSI Blueprint webinar here:
Techday NZ
12-06-2025
- Business
- Techday NZ
Trend Micro unveils AI Factory to boost agentic AI security
Trend Micro has adopted the NVIDIA Agentic AI Safety blueprint, aiming to strengthen safety and security measures for agentic artificial intelligence systems throughout their lifecycle. The company outlined its approach with the introduction of the "Trend Secure AI Factory," which is built on Trend Vision One and Trend Vision One – Sovereign Private Cloud platforms. This framework is aligned with the NVIDIA Agentic AI Safety blueprint and seeks to provide enterprises with comprehensive security from the initial adoption of AI models through to their deployment and ongoing usage. Lifecycle focus According to Trend Micro, effective security within AI factories requires controls and monitoring at multiple levels, covering everything from data and models to the supporting infrastructure and user endpoints. The Secure AI Factory includes integration with NVIDIA NeMo—a model assessment and customisation framework—to enable scalable and reliable model safety evaluation across enterprise deployments. Mick McCluney, ANZ Field CTO at Trend Micro, commented on the current state of AI system adoption and the corresponding security imperatives. "Global organisations are racing to innovate with agentic AI systems, and there's a critical need to ensure the safety and security of these systems. The NVIDIA Agentic AI Safety blueprint provides an important enabling technology that works in conjunction with Trend's threat intelligence to support safety across all phases of the AI lifecycle – from model adoption, deployment, and runtime protection — allowing customers to innovate with AI faster." To support the aim of providing AI system safety, Trend Micro is integrating its own large language model, Trend Cybertron, via NVIDIA NIM universal microservices. This enables scalable and secure inference that can be deployed in cloud, hybrid, or on-premise settings, with a specific focus on detecting and responding to threats in real time. Technical integration Trend Micro highlighted several technical components of the Secure AI Factory. Firstly, it tightens model safety by integrating with NVIDIA NeMo for continuous evaluation and improvement. Secondly, it offers safeguards against data poisoning and misuse during AI training and evaluation phases. The firm's container security solution is used to secure deployment environments—such as NVIDIA NIM and other AI agents—against adversarial attacks or exploitation of resources. Additionally, sensitive data can be protected using Data Risk Posture Management (DSPM), which utilises components of NVIDIA AI Enterprise including NVIDIA Morpheus, NVIDIA RAPIDS, and the NVIDIA AI Safety Recipe to help manage privacy and compliance in both the training and post-training stages. Operational security for users and agent interactions employs Trend Zero Trust Secure Access (ZTSA) AI Service Access, aiming to provide guardrails and network protection for AI agents when interfacing with users. The Secure AI Factory also aims to fortify sovereign AI deployments with what it describes as trusted security controls through the Sovereign Private Cloud option. Industry perspective and collaboration Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA, commented on the value of integrating security measures into AI operational environments: "Embedding real-time, autonomous threat detection into enterprise AI factories empowers organisations to confidently scale innovation without compromising on protection. By integrating advanced cybersecurity directly into AI factories with Trend Micro and NVIDIA Agentic AI blueprints, enterprise data, models, and workloads can remain resilient and trusted —unlocking the full potential of AI in a secure, accelerated environment." The Secure AI Factory approach covers risk mitigation in all areas: model safety, infrastructure, workloads, data privacy, and user trust. The company's solution is designed for organisations looking to implement agentic AI systems at scale while maintaining compliance with various data protection and security requirements. Trend Micro's announcement also received commentary from Justin Vaïsse, Director General at the Paris Peace Forum, who emphasised the role of cross-sector initiatives in establishing AI trust: "As AI becomes increasingly embedded in critical systems, its safety and security must be treated as global priorities. We welcome the role of companies like Trend Micro in advancing responsible AI by contributing tangible, scalable solutions to multi-actor partnerships. This kind of cross-sector collaboration is essential to fostering trust and resilience in the technologies shaping our shared future."
Business Wire
11-06-2025
- Business
- Business Wire
KX Launches Its First Agentic AI Blueprint for Global Markets Trading Built With NVIDIA
NEW YORK & PARIS--(BUSINESS WIRE)-- KX, the leading high-performance analytical database for the AI era, today announced the general availability of its first production-grade Agentic AI Blueprint: the AI Banker Agent. Built with NVIDIA AI and specifically tailored for sell-side global markets banks, this collaboration delivers the first-of-its-kind agentic AI designed to transform how banks operate in fast-moving trading environments. "This is a critical moment for AI within capital markets, and the time is now to integrate a truly transformational AI strategy to navigate regime shifts, liquidity events and complex risk environments," said Ashok Reddy, CEO, KX. Banks are at an inflection point. As AI-native hedge funds and early adopters set new performance benchmarks, traditional institutions must act now or risk falling behind. The AI Banker Agent helps teams work faster, increase market coverage, and rapidly deliver highly personalized service. This unlocks new revenue opportunities, improves customer satisfaction, expands fee-based offerings, and drives growth in assets under management. The KX AI Banker Agent Blueprint combines NVIDIA's AI stack, including NVIDIA NeMo, NVIDIA Nemotron, and NVIDIA NIM microservices, as well as NVIDIA accelerated computing with KX's high-performance time series and vector database to deliver intelligent, real-time workflows. It delivers real-time intelligence and autonomous decision-making capabilities by packaging domain-specific workflows, compliance-ready safeguards, and pre-tuned model logic, giving firms a reliable foundation they can adapt to their own data, policies, and trading strategies. "This is a critical moment for AI within capital markets, and the time is now to integrate a truly transformational AI strategy to navigate regime shifts, liquidity events and complex risk environments," said Ashok Reddy, CEO, KX. "We've entered the age of applied AI in capital markets—this is no longer theoretical. With the AI Banker Agent, we've made the AI Factory real. It's engineered for the speed, complexity, and regulatory rigor of global markets, giving banks a foundation to modernize faster and serve clients better." From signal detection to dynamic risk analysis, KX powers the low-latency, event-driven architectures that agentic AI requires to operate effectively in live trading scenarios. The KX platform's ability to process massive data volumes in real-time, combined with its proven track record in financial services, provides the speed, scale, and reliability essential for supporting these sophisticated AI workflows. 'To thrive in today's competitive and volatile markets, Corporate Bankers, Private Bankers, and Wealth Managers are looking to provide clients with personalized advice in real time,' said Malcolm deMayo, Global Vice President of Financial Services Industry, NVIDIA. 'The AI Banker Agent, powered by NVIDIA NIM microservices, NVIDIA NeMo, AI Q and KX harvests valuable insights from rich tabular and unstructured datasets and serves as an 'easy button' giving relationship managers a competitive edge.' Banks can deploy the AI Banker Agent from KX to impact their business in the following ways: AI-Powered Research Assistant: Unlocks on-demand high-quality research at scale, enabling more complete market coverage with the same number of analysts producing better outcomes and managing risks in real time AI-Powered Relationship Manager: Transforms client engagement into a revenue driver through hyper responsive service and deeper personalization Personalized Portfolio Manager: Enables premium advisory services with continuous personalization, expanding fee-based models and growing AUM To ensure rapid market adoption and seamless implementation, leading strategic technology partners including Capgemini, are actively involved in operationalizing these blueprints across the banking sector. Their participation provides clients with a clear, tested path from innovation to production deployment, helping financial institutions realize the promise of AI Factories through trusted, experienced partners. 'Capital market leaders worldwide recognize the value of extracting insights at speed and see the potential to transform their trading operations,' said Pierre-Olivier Bouée, Head of Financial Services for Europe, Capgemini. 'Capgemini's expertise in AI and decades of experience in financial services allows us to work as a true partner to financial institutions implementing the AI Banker Agent to drive real impact in their business.' In addition to demonstrating the capabilities of the AI Banker Agent at NVIDIA's GTC Paris June 10-12, KX and NVIDIA have also launched a dedicated AI Lab for enterprises to conduct their own experimentation with AI-driven workflows. Participants will have the opportunity to accelerate prototyping and proof-of-concept development, empowering them to innovate, test and optimize their solutions in a real-world, regulatory-compliant environment. Interested parties are invited to register. About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively. KX is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 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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:
