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Choosing HPC Cloud vs On-Premises vs Hybrid Approach
HPC experts can complete a series of tasks which will determine the most cost effective source to place your HPC workloads: On-premises, Cloud or a hybrid of both. In order to determine this, they review:
- The ratio of computational intensity vs data intensity to help determine the most suitable hardware platforms.
- The nature of the scalability required specific to your workloads.
- Whether you have a need for specialist HPC VMs.
- The cost of storage including length of time required.
- The latency introduced by data-staging.
- The priority of the job requests which your business links to the ‘value’ of a workload.
- The cost of the VMs and the options available.
- Your data gravity which governs how easily and quickly a job can be migrated from an on-premises environment to the cloud and how that affects data and cost.
We worked closely with Red Oak during our first steps in our cloud-HPC journey at Johnson Matthey. Starting from our proof-of concept evaluating the offering of cloud providers to the Pilot phase and roll-out, Red Oak worked with JM to navigate technical challenges and deliver a solution with Microsoft Azure that now enables our scientist to leverage HPC and simulate sustainable materials for the future.”
The procurement was highly successful. Owen was highly professional and highly knowledgeable. And Mark really saved the day for us. Both Owen and Mark smoothly integrated into the KAUST team but more importantly, believed in our mission to deliver this computer in order to support the global ambitions of KAUST and the kingdom of Saudi Arabia.”
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Understand your workflows, the ratio of computational intensity vs data intensity, test performance, speed, agility, whilst analysing all HPC costs to understand its true value.
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