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Nutanix brings AI to enterprise infrastructure - SiliconANGLE
Artificial intelligence is stepping out of the lab and into the heart of enterprise infrastructure. As AI moves past the proof-of-concept phase, enterprise leaders face a new challenge: Embedding intelligence into infrastructure without creating operational chaos. That's where Nutanix Inc. positions itself -- as the bridge between ambition and execution, according to Debo Dutta (pictured, right), chief AI officer at Nutanix. "We have a threefold strategy to deal with the rapid pace of innovation," Dutta said. "The way we look at it is AI on Nutanix, so we want to have the best agentic platform we're running on Nutanix, our whole infrastructure, so that we can speed up things. Then AI at Nutanix, so we're using the same platform to optimize Nutanix. Then AI in Nutanix is [where] we're trying to improve our products with AI." Dutta and Jason Langone (left), global AI business development leader at Nutanix, spoke with theCUBE's John Furrier and Bob Laliberte at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed platform readiness, AI operationalization and the path from lab experiment to real-world scale. (* Disclosure below.) Nutanix's approach helps IT teams bypass complexity while maintaining control, offering what Dutta described as "simple ways to do day-to-day operations" and centralized governance. This strategy appeals to enterprises looking to move quickly without sacrificing oversight, according to Dutta. "Enterprise IT can give very detailed access controls of who owns what model and who has access," he said. "Then we have audit logs, we have telemetry. So, with a combination of these technology features, we give the enterprise IT complete control of the infrastructure running large language models and endpoints." Operationalizing AI requires more than just technical chops. Nutanix focuses on making complex deployments repeatable and accessible with tools that help IT teams support models over the long haul, according to Langone. "To me, that's one of the anchors of the value Nutanix brings with enterprise AI, is [that] we could pull it up right now," he said. "Three clicks, you've authorized the model of Hugging Face, Nvidia [and] imported your own. Three more clicks, you're serving it up. This is the simplified operation we need to deliver." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Nutanix .NEXT:
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Nvidia and Nutanix introduce the AI blueprint - SiliconANGLE
Nutanix and Nvidia develop AI blueprint to unlock advanced agents AI is no longer a side initiative -- it's becoming the foundation of enterprise transformation. To meet the demand for scalable, secure and operationally effective deployments, Nutanix Inc. and Nvidia Corp. have partnered to define a new AI blueprint for the modern enterprise. Their goal: help organizations move beyond experimentation to fully integrated, agentic AI operations that drive competitive advantage across industries. "Blueprints are how we build agentic flows," said Kevin Deierling (pictured, right), senior vice president of networking and storage at Nvidia. "Now you have AI as it used to be -- you would ask a question and get an answer ... one-shot foundational models for inferencing. Today, inferencing is much more interesting and effective, so it's agentic AI. We have AIs talking to AIs; we have reasoning models. Putting those together, we call that a blueprint." Deierling and Tarkan Maner (left), chief commercial officer of Nutanix, spoke with theCUBE's John Furrier and Bob Laliberte at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They explored how Nutanix and Nvidia are reshaping enterprise AI by delivering tightly integrated solutions, blueprint-driven deployments and a strategic focus on scalability, efficiency and business value. (* Disclosure below.) The AI blueprint is a pre-architected solution designed to simplify and accelerate the deployment of AI across diverse industries. Rather than starting from scratch, businesses can use these blueprints to implement intelligent workflows quickly, tailored to specific use cases such as fraud detection, legal document management or customer service, according to Maner. "We work with law firms, and they are crazy about document management, but intelligent document management," he said. "Today, all these people are working on this search, managing documents. Guess what? Now with specific blueprints for law firms, with our compute storage data management, the Kubernetes layer will deliver the right blueprint with Nvidia to deliver applications to support those law firms to do this." Blueprints include integrated orchestration, storage and compute capabilities -- with security and manageability baked in. Beyond single-turn question-answering, the current age of agentic AI means that multiple agents interact, reason and build on each other's output. This complexity demands tightly integrated platforms, which the Nutanix-Nvidia partnership delivers, according to Deierling. "This is where it's great with a partner like Nutanix," he said. "They've got their entire storage and unified storage platform. All of the securities and access controls that are built into that can flow into the AI workflows and the blueprint, so that when you look up something, you're seeing only the data that you're allowed to see and querying against that data." The AI factory is reshaping how companies approach AI deployment. Enterprises are beginning to treat AI deployments like industrial production lines, moving from simple model training to large-scale inferencing and agentic operations. For this to work, platforms must scale effortlessly and efficiently, according to Maner. "We're talking about thousands of nodes, hundreds of thousands of cores transforming and getting ready for these AI-specific workloads," he said. "For one of our financial services customers, we're now doing a fraud detection application, all agentic. The entire application is going to run on thousands of cores, and the entire deployment is through an agent-based model running on our security manageability automation capabilities. And the key thing is scale." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Nutanix .NEXT:
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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: 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. 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 www.nutanix.com or follow us on social media @nutanix.
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Nutanix and NVIDIA partner to simplify and accelerate the deployment of agentic AI in enterprise environments, introducing new AI blueprints and enhanced integration with NVIDIA AI Enterprise.
Nutanix, in collaboration with NVIDIA, is spearheading a significant shift in enterprise AI implementation. The partnership aims to simplify the integration of AI into enterprise infrastructure, moving beyond experimental phases to fully operational, agentic AI systems 1.
At the heart of this collaboration is the introduction of the AI blueprint, a pre-architected solution designed to accelerate AI deployment across various industries. Kevin Deierling, SVP of Networking and Storage at NVIDIA, explains:
"Blueprints are how we build agentic flows. Now you have AI as it used to be -- you would ask a question and get an answer ... one-shot foundational models for inferencing. Today, inferencing is much more interesting and effective, so it's agentic AI. We have AIs talking to AIs; we have reasoning models. Putting those together, we call that a blueprint." 2
These blueprints offer integrated orchestration, storage, and compute capabilities, with built-in security and manageability features. They enable businesses to quickly implement intelligent workflows tailored to specific use cases such as fraud detection, legal document management, or customer service.
Nutanix has announced the general availability of the latest version of Nutanix Enterprise AI (NAI), which deepens integration with NVIDIA AI Enterprise. This includes NVIDIA NIM microservices and the NVIDIA NeMo framework, aimed at accelerating the deployment of agentic AI applications in enterprise settings 3.
Thomas Cornely, SVP of Product Management at Nutanix, states:
"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." 3
Nutanix's approach addresses the complexity of AI deployment while maintaining control. Debo Dutta, Chief AI Officer at Nutanix, highlights the importance of governance:
"Enterprise IT can give very detailed access controls of who owns what model and who has access. Then we have audit logs, we have telemetry. So, with a combination of these technology features, we give the enterprise IT complete control of the infrastructure running large language models and endpoints." 1
This strategy appeals to enterprises looking to move quickly without sacrificing oversight, offering what Dutta describes as "simple ways to do day-to-day operations" and centralized governance.
The collaboration between Nutanix and NVIDIA is reshaping how companies approach AI deployment, treating it more like an industrial production line. Tarkan Maner, Chief Commercial Officer of Nutanix, emphasizes the scale of these deployments:
"We're talking about thousands of nodes, hundreds of thousands of cores transforming and getting ready for these AI-specific workloads. For one of our financial services customers, we're now doing a fraud detection application, all agentic." 2
This scalability is crucial for enterprises looking to leverage AI across multiple business functions and drive competitive advantage.
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