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Quantum Computing:
The Key to Unlocking the Future The largest supercomputers that solve the world’s most difficult problems are power hungry. And
Home » HPC in The Cloud
As certified Cloud Solutions Architects with proficiency in Microsoft Azure, Amazon Web Services, and Google Cloud, we can help you:
To dispel any doubts and provide you with the necessary insights to determine whether Cloud Computing aligns with your business, Red Oak Consulting offers a “Cloud Computing Taster.”
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.”
Johnson Matthey
Red Oak’s expert knowledge of the Microsoft Azure Ecosystem, as well as their expertise in HPC and specific choice of VMs, enabled us to successfully transition all our on-premises HPC workflows to the cloud. The use of CycleCoud, to implement our batch files dependent workflows was particularly valuable.”
Renewable Energy Systems
The choices for hosting High-Performance Computing (HPC) systems are diverse and abundant. At Red Oak, our extensive knowledge and experience in HPC hosting enable us to offer impartial recommendations across all aspects of data centre and HPC hosting needs.
We can help manage the complex process of HPC technical specifications to deliver the right solution, on time and in budget.
For years, HPC has traditionally been an on-premises affair. Many focus on the upfront costs, neglecting the broader picture. Prioritising the Total Cost of Ownership (TCO) is essential for informed decision-making.
High-Performance Computing Projects Delivered
HPC projects delivered on time
HPC procurement ranging from £100K to £45 million
Proven track record of customer satisfaction
HPC in the Cloud Projects
The main differences between an on-premises cluster and a Cloud High-Performance Computing (HPC) are:
Comparing on-premises and Cloud costs is not a straight forward task. Why, because you need to take into account a wide range of costs. These are not just the hardware purchase cost, of any resources eg cooling, people, and power. This task is highly dependent on each organisation and requires a full TCO model to be developed.
Cloud can be a cost saving for most organisations if utilised in the proper manner eg by making the most of spot nodes and their reduced pricing.
Cloud and on-premises clusters can work together; there are multiple ways to do this.
One common work pattern is to use the existing on-premises cluster to provide a baseline of resources and then use cloud HPC as a burst resource. This method allows an organisation to meet time-sensitive deadlines without having to push other jobs off of the on-premises HPC.
There are many ways to configure a hybrid HPC system and each organisation has unique needs and requirements.
Any workloads that you run on-premises can be run in the Cloud. A major benefit of Cloud HPC is being able to try out new technologies as soon as they come out and without a costly procurement process.
For example, if you want to explore AI and ML workloads and do not currently have GPUs in your on-premises resources Cloud provides the ability to quickly deploy a GPU-enabled VM and run those workloads and only be charged while using it.
The choice of Cloud provider does change what common technologies are available. However, common technologies such as Lustre, NetApp, SLURM, PBS, and InfiniBand are available. Determining what technologies work best for you is a key part of the requirements gathering stage of any Cloud HPC project and will help to drive your selection of a cloud provider. A Proof of Concept (PoC) can be easily implemented in the cloud for benchmarking and analysis of the technologies suited to your workflows.
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