The duo to Power Enterprise AI, AI Factories, and Scalable AI Infrastructure.
Nutanix has unveiled its new Nutanix Agentic AI platform, a full-stack enterprise AI software solution designed to accelerate the adoption of Agentic AI, AI infrastructure, and enterprise AI factories. Built for modern hybrid multi-cloud environments, the platform enables organizations to efficiently build, scale, and manage AI workloads while ensuring high performance, security, and regulatory compliance.
As enterprise AI adoption reaches a critical tipping point, organizations are shifting from building isolated AI models to deploying large-scale AI agents and autonomous AI systems. This evolution introduces new challenges around managing complex AI infrastructure, scaling GPU workloads, and maintaining data sovereignty. The Nutanix Agentic AI solution addresses these challenges by simplifying AI operations and enabling infrastructure teams to deploy and operate AI factories at scale.
The platform integrates deeply with NVIDIA AI Enterprise, delivering a powerful ecosystem for AI development, machine learning operations (MLOps), and AI deployment. It provides developers and data scientists with advanced tools to build, fine-tune, and deploy AI agents, while securely connecting them to enterprise data sources. This enables faster innovation and reduces the time required to move AI applications into production.
A key component of the solution is its AI Platform-as-a-Service (AI PaaS) and Kubernetes-native architecture, powered by the Nutanix Kubernetes Platform. This includes an advanced AI gateway and Model-as-a-Service (MaaS) capabilities, allowing organizations to manage both private and cloud-hosted large language models (LLMs). Support for modern protocols and frameworks enables developers to create intelligent AI agents capable of reasoning, automation, and executing complex multi-step tasks.
To further accelerate enterprise AI adoption, Nutanix provides a rich catalog of pre-integrated AI tools, including notebooks, vector databases, MLOps pipelines, and agentic AI frameworks. With seamless integration of NVIDIA NIM microservices and AI models, businesses can rapidly deploy high-performance AI applications, generative AI solutions, and autonomous AI agents in production environments.
On the infrastructure side, the platform delivers significant improvements in AI performance optimization, GPU utilization, and cost efficiency. Enhancements to the Nutanix AHV hypervisor and Flow Virtual Networking enable better resource allocation for GPU-intensive workloads, while reducing CPU and memory overhead. These optimizations help enterprises achieve lower and more predictable AI token costs, a key concern in large-scale AI deployments.
The solution also includes advanced data services for AI workloads, leveraging scalable storage and high-speed data access to support thousands of GPU clients simultaneously. This ensures low-latency performance and efficient data processing, which are critical for real-time AI applications, large-scale machine learning models, and enterprise AI analytics.
With support for NVIDIA-certified AI factory architectures, organizations can deploy Nutanix Agentic AI on infrastructure from leading hardware providers such as Cisco, Dell, and Supermicro. This flexibility allows enterprises to build robust, scalable, and future-ready AI infrastructure ecosystems tailored to their business needs.
Overall, the Nutanix Agentic AI platform positions itself as a comprehensive solution for enterprises looking to harness the full potential of AI transformation, generative AI, and autonomous AI systems, while maintaining control over performance, security, and operational costs.
