Hyper-converged infrastructure vendor HyperGrid introduced revamped software Tuesday that delivers billing and services emulating the public cloud experience on private hardware.

The Mountain View, Calif.-based startup's latest release of its HyperCloud orchestration and management platform offers services across the stack that look and feel like public cloud and extend into the true public cloud, HyperGrid CMO Jim Ensell told CRN.

The aim was to deliver a "fully featured public cloud delivered as a full-stack appliance in enterprise data centers," Ensell told CRN. The appliances can be provisioned on six-month, one-year or three-year contracts.

The latest offering implements true consumption billing for the first time in a corporate data center, he told CRN.

Like with any public provider, customers can select numbers and sizes of VMs, then pay-as-they-go for usage. The service even allows enterprises to select between reserved or on-demand instances, an option popular in the public cloud for achieving predictable billing.

HyperGrid's roots go back longer than its official founding last year. The company formed through the merger of Gridstore, a hyper-converged appliance vendor, and DCHQ, developer of cloud orchestration and management software. The acquisition of XOcur followed this past April, delivering a business intelligence engine that helps enterprises size required resources.

In its first year of operation after the merger and rebranding, HyperGrid doubled revenue and has kept up that pace of growth since, Ensell told CRN.

The latest product release realizes the vision that drove the merger, he said.

In addition to consumption pricing, the release integrates technology acquired from XOcur that helps business leaders make decisions when provisioning cloud resources.

HyperCloud also added several new cloud services across compute, storage and networking. Those are complemented with a new app store through which enterprises can select from more than 400 templates for deploying applications either on virtual machines or in containers.

Read more here