The agentic AI boom is here; operations will decide who wins
Agentic AI moves the advantage from models to operational fluency
Partner Content The enterprise AI question has shifted from "Can we build a chatbot?" to "Can we run agentic AI at scale with governance and cost we can defend?" Personalized digital assistants have conditioned people to expect systems that don't just answer questions, but get things done. That same expectation is now landing inside the enterprise, where agentic systems can automate multi-step workflows, improve decisions across teams, and reshape how work gets done.
As agentic AI takes center stage, adoption has hit a tipping point. Success hinges less on model selection and more on the infrastructure needed to securely run thousands of agents.
This shift matters because agentic AI doesn't scale like a chatbot or a single workload. A company-wide fleet of agents is a moving swarm of concurrent users, bringing with them bursts of demand, constant calls to data and tools, and a long tail of edge cases that quickly turn into incidents.
Enterprises need an operating environment that makes agentic systems safe and repeatable in the real world. This shift aligns with the rise of the AI factory: an environment purpose-built to deliver high-performance inference, shared services, governance, and cost control across the enterprise.
Speed vs. control: the agentic AI trade-off
Enterprises face a two-sided challenge as they scale agentic AI. AI developers get bogged down by disconnected tools, siloed data, and inconsistent secure access to LLMs. At the same time, platform teams have to stand up shared AI infrastructure at scale while mantaining high performance, security, and cost controls.
The Nutanix Agentic AI solution addresses this new reality with a full-stack cloud operating model for AI factories. It delivers a consistent way to deploy, govern, secure, and observe agentic workloads across on-prem and hybrid environments, bridging agentic AI developers and AI factory operators to simplify operations and accelerate innovation.
The Nutanix Agentic AI solution helps customers move from "racked and stacked" hardware to a "running and regulated" environment built for inference at scale. Nutanix Agentic AI makes that shift possible by bringing together breakthrough capabilities across the Nutanix stack.
An intelligent platform for agentic builders
Nutanix Enterprise AI provides a unified AI gateway: a secure, consistent front door to both private and public models. With centralized authentication, observability, token-based governance, and granular cost controls, enterprises gain transparency and predictability in AI consumption. Support for fine-tuning and Model Context Protocol integration lets agents securely connect to enterprise systems and execute complex, multi-step workflows. Deep integration with NVIDIA AI Enterprise enables optimized inference services, including support for NVIDIA Nemotron open-source reasoning models.
Complementing this, the CNCF-compliant Nutanix Kubernetes Platform solution provides a production-ready environment with a curated catalog of AI services, including notebooks, vector databases, MLOps pipelines, and agentic frameworks. Together, these capabilities help developers move quickly from concept to production without infrastructure delays.
Reducing operational complexity at scale
As AI workloads pivot from training-centric models to inference at scale, infrastructure requirements fundamentally change. Running dynamic, agent-driven workloads demands secure isolation, resource optimization, and elastic scalability, capabilities not easily achieved with traditional bare-metal Kubernetes deployments.
Nutanix addresses these challenges by orchestrating accelerated computing through a VM-based Kubernetes model powered by the Nutanix AHV hypervisor. With topology-aware optimization, AHV intelligently aligns workloads across GPU-dense servers to maximize hardware efficiency and reduce manual tuning.
Networking and security are just as critical. We shift intensive networking and security processes away from the CPU by using Nutanix Flow with the new NVIDIA BlueField DPU offloads. This preserves compute cycles for inference, delivering bare-metal speeds with the robust isolation of a virtualized environment. Together, this delivers higher GPU utilization, stronger isolation, and materially lower cost per token. These are key metrics for AI factory performance.
Built-in data services for AI
AI systems are only as effective as the data that fuels them. As an NVIDIA-validated storage solution and a design partner in NVIDIA's STX program, the Nutanix Unified Storage solution brings data transformation and vectorization closer to GPU compute resources. With support for NFS over RDMA, enterprises achieve high-throughput, low-latency data access that prevents GPUs from becoming idle. High-capacity tiers for KV cache offloading further optimize GPU memory utilization, enabling larger context windows and greater concurrency without performance trade-offs. These optimizations directly reduce aggregate cost per token while enhancing overall system efficiency.
Where agentic AI becomes operational at enterprise scale
The Nutanix Agentic AI solution fundamentally optimizes the economics of AI. By orchestrating the interaction between GPU compute, software-defined networking, and data services, we drive higher utilization rates and a significantly lower cost per token. Through our deep partnerships with NVIDIA and OEM leaders like Cisco, Dell, and Supermicro, Nutanix is providing the foundational layer to turn AI complexity into a scalable, secure business advantage.
The future is agentic. The platform is Nutanix.
Contributed by Nutanix.