Clusters that are purchased for specific applications tend not to be flexible as workloads change. What is needed is an infrastructure that can expand or contract as the workload changes. IBM, a recognized leader in High Performance Computing is applying its expertise in both HPC and Cloud computing to bring together the technologies to create the HPC Cloud.
Demands by users that are running applications in the scientific, technical, financial or research areas can easily outstrip the capabilities of in-house clusters of servers. IT departments have to anticipate compute and storage needs for their most demanding users, which can lead to extra spending on both CAPEX and OPEX once the workload changes.
“Imagine an entire IT infrastructure controlled not by hands and hardware, but by software. One in which application workloads such as big data, analytics, simulation and design are serviced automatically by the most appropriate resource, whether running locally or in the cloud. A Software Defined Infrastructure enables your organization to deliver IT services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs.”
The inaugural ISC Cloud & Big Data conference has announced its Call for Research Papers. The event takes place Sept. 28-30 in Frankfurt, Germany. The organizers are looking forward to welcoming international attendees – IT professionals, consultants and managers from organizations seeking information about the latest cloud and big data developments. Researchers in these two […]
CloudyCluster allows you to quickly set up and configure a cluster on Amazon Web Services (AWS) to handle the most demanding HPC and Big Data tasks. You don’t need access to a data center and you don’t have to be an expert in the ins and outs of running computationally intensive workloads in a cloud environment.
“The UberCloud Community brings together over 3,000 participants to pave the way for the Technical Computing Cloud. UberCloud Experiment teams explore the end-to-end process of accessing remote computing resources in HPC centers and in the Cloud to study and overcome the potential roadblocks for industry applications such as CAE, Bio and Life Sciences.”