2026 Gartner® Magic Quadrant™ for Distributed Hybrid Infrastructure. One platform for AI, containers and VMs. You’re in Control.
The 2026 Gartner Magic Quadrant for Distributed Hybrid Infrastructure recommends “Heads of I&O seek a hybrid cloud experience across public and private cloud, as well as edge deployments. The DHI market aims to reduce operational complexity and create a unified cloud-to-edge infrastructure management and control plane to simplify workload management and ensure policy enforcement."
If you're struggling with regional data regulations, fragmented tooling across disconnected sites, or the complexity of managing localized GPU clusters and container microservices at scale, this report gives you an independent, analyst-backed view to benchmark vendors and validate your platform decision.
Run Workloads Anywhere
Deploy where it makes the most business sense
Meet Compliance Needs
Address regulatory, security, and sovereignty requirements
Operate Consistently Across Environments
Manage public cloud, datacenter, and edge with a single governance model
Access Specialized Resources
Tap into infrastructure such as GPUs for AI workloads
The Distributed Hybrid Infrastructure (DHI) market has evolved to reflect the need for organizations to support traditional applications, cloud-native services, edge deployments, and emerging AI workloads, often while navigating data sovereignty and regulatory requirements. Managing these environments independently creates complexity, operational silos, and inconsistent governance.
Nutanix has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Distributed Hybrid Infrastructure, recognized for its ability to execute and completeness of vision. The Nutanix Cloud Platform delivers a unified platform that enables organizations to manage VMs, containers, storage, and emerging AI applications through common operational practices and governance frameworks across environments. The result is a simpler operating model for organizations managing increasingly diverse application and infrastructure environments.
As we integrate AI into our core business processes and customer applications, security and control are non-negotiable. The Nutanix Agentic AI solution provides the secure, governed infrastructure foundation that allows our teams the self-service capability they need to accelerate the development and deployment of AI innovation across our production environments.
NKP gives GDIT a secure, reliable, scalable, open, and production-ready platform on which to create Kubernetes solutions for its government clients.
Choosing Nutanix Cloud Clusters has enabled us to achieve savings of 39% in the total cost of operations in our current environment, compared to moving to a native public cloud environment.
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Distributed Hybrid Infrastructure refers to platforms that support consistent operations across on-premises, cloud, and edge environments. These solutions enable flexibility, unified management, and support for modern workloads like containers and AI.
This report is essential for IT leaders, infrastructure architects, and operations teams looking to simplify hybrid cloud management, modernize infrastructure, and evaluate platforms that support virtualization, containers, and AI.
Nutanix provides a unified operating platform for agentic AI that helps organizations build, deploy, govern, and scale autonomous AI systems across distributed environments—while optimizing performance, controlling token costs, and maintaining security and data sovereignty.
Nutanix Cloud Platform brings virtual machines and containers together under a single operating model, combining integrated hypervisor, storage, lifecycle management, security, and governance so legacy and cloud-native applications can run side by side across datacenter, cloud, and edge environments.
Fill out the form on this page to access your complimentary copy of the 2026 Gartner® Magic Quadrant™ for Distributed Hybrid Infrastructure and see why Nutanix is a Leader.
Gartner, Magic Quadrant for Distributed Hybrid Infrastructure, Julia Palmer, Elaine Zhang, Adrian Wong, Daniel Bowers, 7 September 2026
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