HPC & AI > Cloud computing


‘Cloud technology has reached a maturity level that makes it appealing to high- performance computing (HPC) users’


configuration, mobile devices for business, end-to-end cloud migration services, and post-deployment training and support. Gompute provides a


flexible HPC platform for CAE workflows and simulations. Gompute’s compute node capacity delivered in the service is bare metal, equipped with a high-speed, low-latency interconnect and large memory options. H66cloud from Hydro66


offers an enterprise-grade cloud environment, instant launch, high performance with GPU options and zero maintenance. The company says there is no single point of failure, 100% guaranteed uptime, no upfront costs and the opportunity to cancel at any time. The customer controls whether to pay in five- minute increments and only for what they run, or longer commitments for known workloads. Real-time technical support is available around the clock. The MicrosoftAzure HPC OnDemand Platform, or azhop, delivers an end-to-end deployment mechanism for a complete HPC cluster solution in Azure. Industry-standard


tools, such as Terraform, Ansible and Packer, are used to provision and configure this environment. Each environment contains an Open OnDemand Portal for unified user access, remote shell access, remote visualisation access, job submission, file access and more, an active directory for user authentication and domain control, a PBS job scheduler and Azure Cycle Cloud to handle autoscaling of PBS nodes through PBS integration. Nimbix offers cloud and


on-premises HPC, giving engineers and scientists access to infrastructure and the software needed to build, compute, analyse, scale and deploy simulation and AI/ML/ DL applications. The Nimbix Supercomputing Suite is an as-a-service solution for HPC, AI and quantum in the cloud. Nimbix says it provides customers with access to one of the broadest HPC and supercomputing portfolios, from hardware to bare metal as a service, and democratises advanced computing in the


cloud across public and private data centres. Penguin Computing’s Cloud


Technology practice is focused on delivering software-defined architectures that enable users to run workloads regardless of where their compute or data resources reside. The company suggests these platforms deliver the advances of a Cloud 2.0 world, where workloads are delivered on simultaneously addressable resources. Its goal is to enable users to run workloads everywhere as a seamless user experience by removing the complexities of workload portability, inclusive workflows, data locality and remote visualisation. It recommends open


hybrid cloud as a strategy for architecting, developing and operating a hybrid mix of applications. Penguin says this offers the flexibility to run applications across environments – from bare metal to VMs, edge computing, private cloud and public clouds – without having to


For more info about cloud solutions in scientific computing, visit: www.scientific-computing.com/cloud-computing


rebuild applications, retrain people, or maintain disparate environments. ScaleCloud Enterprise from


Scalematrix is designed to address the common trade- offs in cloud environments for compute-intensive workloads. The company says the product features Intel processors and HPE servers housed in cabinet technology. UberCloud – a cloud simulation platform for engineers – helps engineers run their simulation tools with high performance and reliability in the cloud. The company says its self-service software platform lets users create scalable cloud clusters, all while using the native GUI of Ansys, COMSOL, CST, NUMECA and more. There is no loss of features with simplistic web portals that only support batch use cases. This is not an exhaustive list.


If you provide cloud services and would like your company included, please let us know at: editor.scw@europascience. com. SCW


SCIENTIFIC COMPUTING WORLD


Summer 2023 Scientific Computing World 35


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