The rapid rise of agentic AI—driven by platforms like Openclaw—is pushing enterprises toward a new era where digital assistants can autonomously manage complex workflows across finance, operations, and decision-making. As adoption accelerates, organizations are now facing a critical bottleneck: not building AI models, but managing the infrastructure required to run thousands of AI agents securely and efficiently.
At NVIDIA GTC 2026, Nutanix introduced Nutanix Agentic AI, a full-stack software solution designed to address this challenge. The platform applies a cloud operating model to enterprise AI infrastructure, enabling companies to scale AI deployments while maintaining governance, security, and cost control.
Unlike traditional AI systems optimized for large-scale model training, the new platform is built for high-frequency, real-time workloads—supporting what Nutanix describes as the “AI coworker” era. By centralizing infrastructure as a shared resource rather than siloed deployments, the solution aims to reduce operational complexity and optimize cost per token across multi-user environments.
A key innovation lies in its architecture, which combines the Nutanix AHV hypervisor, Kubernetes-based orchestration, and NVIDIA-powered acceleration. This allows automated workload placement across GPU-heavy environments, improving performance without manual tuning. Additionally, networking and security processes are offloaded to NVIDIA BlueField DPUs, preserving compute power for AI inference tasks.
The platform also introduces an AI Platform-as-a-Service (PaaS) layer through the Nutanix Kubernetes Platform and Nutanix Enterprise AI. This includes access to open-source AI tools, model-as-a-service capabilities, and a unified AI Gateway for secure integration with both private and cloud-based large language models. Support for advanced frameworks and NVIDIA’s Nemotron models further enables developers to build autonomous agents capable of executing multi-step workflows.
To address data challenges, Nutanix integrates its Unified Storage solution, enabling GPU-accelerated data processing and scalable, low-latency access for thousands of concurrent AI workloads. This ensures that agentic systems can operate efficiently with large datasets and real-time inputs.
As enterprises transition toward AI-driven operations, Nutanix positions its Agentic AI platform as a foundation for building “AI factories”—environments where infrastructure, data, and intelligent agents work together seamlessly. The company emphasizes that managing AI complexity at scale will become a key competitive advantage in the next wave of digital transformation.
