Best Web-Based Virtual Machine Software of 2026 - Page 3

VMware Fusion empowers Mac users to seamlessly operate Windows alongside a variety of other operating systems and Mac applications without the need for rebooting. It caters to both casual users and IT professionals, making it versatile enough for developers and businesses alike. The capability to run Windows on a Mac is just the starting point; VMware Fusion offers access to a multitude of supported operating systems, ranging from niche Linux distributions to the latest version of Windows 10, all while coexisting with the current macOS. This software simplifies the process of testing virtually any operating system and application on a Mac, allowing users to build and evaluate applications in a controlled environment while easily sharing local files and folders. Additionally, Fusion Pro now features a RESTful API, enabling integration with contemporary development tools such as Docker, Vagrant, Ansible, and Chef, thus aligning VMware's robust functionality with the demands of modern Agile and DevOps workflows, ensuring that users can enhance their productivity effectively. By bridging the gap between different operating systems, VMware Fusion truly enriches the user experience on Mac.

We partnered with Supermicro to showcase a first of its kind generative AI + design workspace for on-prem teams and remote teams, running on Supermicro’s new liquid-cooled AI Super Workstation, all managed via RAVEL Orchestrate™. This complete solution is available to partners and clients. Easy deployment and management of custom virtual workstations. Create customized virtual workstation images to meet the needs of your team. You don't need to be a virtualization or cloud guru to deploy your customized remote workstations. RAVEL Orchestrate has an intuitive workstation scheduler, and resource management controls that help you control costs. RAVEL Orchestrate™ is a unique solution that allows IT to create and distribute limitless custom software images to as many users, teams and regions in the cloud at scale. Deployment takes 90% less time compared to traditional imaging and deployment methods.