Provision, configure and allocate resources to virtual machines quickly across diverse cloud environments and providers without code.
Choose the best fit VM configuration for your computational needs with an easy-to-use wizard.
Enable high performance computing (HPC) to run demanding workloads that require a lot of CPU power, such as processing large datasets or performing complex simulations.
Opt for VMs supporting auto-scaling for variable workloads and offering elasticity for easy resizing to adapt to changing demands.
Choose the appropriate pricing model (e.g., on-demand or spot instances) based on your workload and cost considerations.
Choose from various operating systems (OS), including Linux and Windows, to run your applications. By selecting the right OS for each application, you can ensure compatibility, minimize potential issues, and enhance performance.
Deploy VMs strategically to ensure optimal workload performance and cost-effectiveness.
Provision VMs across major public cloud providers (AWS, GCP, Azure, and more), regional providers, on-premises data centers, private clouds, and edge locations for greater flexibility and coverage.
Move your VMs across various geographical regions, allowing you to position them closer to your audience, to minimize latency and adhere to data residency regulations.