Nutanix launches Agentic AI platform with Nvidia to scale enterprise agents at lower cost

Nutanix Unveils Agentic AI Platform with Deep Nvidia Integration

Nutanix has launched its Agentic AI software solution, a comprehensive platform designed to help enterprises accelerate their transformation toward adopting agentic artificial intelligence across business processes1

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. The new offering integrates with Nvidia AI Enterprise at the Agent Builder layer and can orchestrate Nvidia's ecosystem of AI factories, marking a shift in how organizations approach AI infrastructure2

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The platform extends Nutanix's existing infrastructure components including the AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI to enable customers to build, operate and govern AI factories while providing enterprise agentic AI developers with models and platform services[3](https://uk.investing.com/news/company-news/nutanix-l aunches-agentic-ai-solution-with-nvidia-integration-93CH-4561507). This architecture treats AI infrastructure as a centralized, shared, highly flexible resource rather than siloed projects, bringing a cloud operating model to the AI factory environment.

Addressing the Shift from Chatbots to Autonomous AI Agents

The release responds to a fundamental transformation in enterprise AI deployment. While many organizations have already integrated chatbots into workflows for conversational guidance, these one-shot question-and-answer systems are giving way to a new paradigm of AI agents that can reason over complex tasks, work autonomously and complete long-term goals with minimal human oversight1

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This evolution requires different infrastructure than traditional AI model training. According to Thomas Cornely, Executive Vice President of Product Management at Nutanix, production Agentic AI infrastructure needs to handle scale and high rates of change for thousands of AI services, agents, and concurrent users and developers, contrasting with AI training infrastructure optimized to run "one big job"1

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. The challenge lies in managing multi-turn AI agents that step through tasks and iterate over time, generating complex reasoning trees that can spiral without careful regulation.

Optimizing GPU Efficiency and Achieving Lower Token Costs

The platform delivers optimized performance and security designed to enable lower token costs through advanced features including an AI Gateway and Model-as-a-Service capabilities2

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. Tokens measure the inherent economy of agentic AI—the more tokens used, the more power consumed and costs escalate. The solution addresses this by providing virtual machines with greater performance and enhanced infrastructure with better resource optimization to achieve a lower cost per token1

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The platform automatically optimizes workload placement across GPU-dense servers for maximum performance without manual tuning2

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. Nutanix Unified Storage delivers linearly scalable read/write performance for thousands of GPU clients, providing a high-capacity tier for KV Cache offloading and support for S3 over RDMA and NFS over RDMA protocols2

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. The Flow Virtual Networking solution has been enhanced to offload network dataplane operations to Nvidia BlueField data processing units, delivering high-performance networking while reducing host CPU and memory consumption3

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Comprehensive AI Developer Tools and Nvidia NIM Integration

The release includes Nutanix Enterprise AI version 2.6, which adds an AI Gateway service for unified policy control over cloud-hosted and private large language models, along with new support for the Model Context Protocol server and fine-tuning capabilities3

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. The platform now supports Nvidia's Nemotron family of AI models.

Nutanix simplified the path to delivering control by extending its Kubernetes platform with a catalog of prebuilt AI developer tools including Notebooks, Vector Databases, MLOps workflow engines and agentic frameworks1

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. By fully integrating with Nvidia's enterprise software, developers can deploy Nvidia NIMs—including Nemotron—to accelerate the development of AI applications and test, build and iterate in sandboxes safely before going live1

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Industry Validation and Hardware Partner Ecosystem

Accenture's Dave Malik, global infrastructure engineering AI and high-performance computing lead, stated that the new Nutanix Agentic AI solution will help "reinvent" operations and enable "agentic AI at scale," noting that the capabilities can help organizations build an agentic architecture to create an integrated AI interface across data and platforms2

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Customers can deploy AI factories on hardware from Cisco Systems, Dell Technologies, Lenovo, Supermicro, and Fujitsu, supported with validation by Nutanix and Nvidia2

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. The solution arrives as Nutanix maintains an impressive $2.9 billion annual run rate with 87% gross profit margins, positioning the company strategically in the enterprise AI infrastructure market as organizations transition to autonomous agent architectures2

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