Best Virtualization Software

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Compare the Top Virtualization Software as of October 2025

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What is Virtualization Software?

Virtualization software enables the creation and management of virtual machines (VMs) that emulate physical computers. By abstracting the underlying hardware, it allows multiple operating systems to run on a single physical machine, improving resource utilization and flexibility. Virtualization provides an isolated environment for applications, increasing security and stability by preventing conflicts between different software systems. It also simplifies the management of IT infrastructure, as virtual machines can be easily created, cloned, and moved between different hosts. This technology is crucial for businesses looking to scale their operations, optimize resource usage, and improve disaster recovery processes. Compare and read user reviews of the best Virtualization software currently available using the table below. This list is updated regularly.

  • 1
    Google Compute Engine
    Virtualization on Google Compute Engine enables the creation of isolated virtual environments on a shared physical infrastructure. This technology allows users to maximize resource utilization and simplify workload management by creating multiple virtual machines (VMs) on a single host. Google Compute Engine’s virtualization capabilities offer users the ability to scale resources up or down based on real-time needs, providing both performance and cost-efficiency. With $300 in free credits, new customers can explore how virtualization can benefit their workloads and optimize their cloud infrastructure.
    1,156 Ratings
    Starting Price: Free ($300 in free credits)
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  • 2
    NVIDIA Run:ai
    NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.
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