Consumption Based On-Demand Private Cloud in a Box

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Presented by

Shanthi K Adloori, Supermicro; Todd Robinson, InMotion Hosting; Jadon Naas, InMotion Hosting;

About this talk

Introducing the new On-Demand Private Cloud. Supermicro and InMotion Hosting joined forces to design a Data Center POD solution that allows data centers to take control of their cloud costs by lowering the total cost per VM. This all-in-one solution consisting of small hyper-converged building blocks, are built for your business to achieve significant on-demand flexibility and scalability. Utilizing a consumption based model eliminates multiple vendors by consolidating hardware, software, networking, management, and administration enabling your data center to grow and shrink based on your business’ needs. Bring your business to the next level with an On-Demand Private Cloud, let it help you achieve greater profitability by eliminating overpriced inflated, high-cost licensing fees. This streamlined model removes overpriced licensing fees, and enables you to increase profits while reducing overhead costs. This On-Demand Private Cloud solution is built with Supermicro’s green, power efficient and high density, compute servers; OpenStack’s open-source software, and Ceph’s object, file, and block storage. Join this webinar to hear industry experts from InMotion Hosting and Supermicro discuss: - Building your next-generation data center infrastructure - Enables private data centers with validated solutions from Supermicro and InMotion - Hosting to improve operational efficiency - Reach new segments with Kubernetes, Machine Learning, and Artificial Intelligence - Achieve on-demand cloud computing, high availability, data redundancy, and flexibility - Take control of your cloud costs and lower your total cost of ownership - Hyper-dense hardware enables economies of scale for power, cooling, and physical space

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Supermicro provides end-to-end green computing solutions for the data center, cloud computing, enterprise IT, big data, high performance computing and embedded computing.