June 9, 2016
Today, the community of HPC-in-the cloud solution providers is fairly limited. Giant hyperscalers – notably Amazon (AWS), Google (GCP) and Microsoft (Azure) – remain at the core and keep expanding their HPC resources. Circling around them are HPC ‘services specialists’ plugging clients into cloud providers and striving to ease delivery of HPC-in-the cloud to make good on the promise of improved efficiencies and cost reductions. Last week a new HPC Software as a Service (SaaS) player popped up on AWS marketplace – Alces Flight, a UK-based company with roots as an HPC integrator. Read more…
For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.
This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.
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