Compute-intensive workloads are increasing in both number and complexity, putting more and more pressure on businesses. The variability of demand is difficult to accommodate and adding capacity is prohibitively expensive – especially for traditional high performance computing (HPC) workloads. With restrictive workload scheduling tools there is also the “hidden” challenge of having “fixed” compute that can be left idle or underutilised.
Imagine if there was a solution that could enable you to natively run HPC jobs in the cloud. Where you could intelligently match computing resource – including lower cost Spot instances – with your workload’s variable needs, to avoid overspending on infrastructure. Where worker node numbers could dynamically change without the need to restart or redefine a job. Where a scheduler could intelligently adapt to failure, reassigning tasks if nodes fail or if Spot compute is reclaimed.
Introducing YellowDog Sigma.
To access the true scale of cloud, you need a solution that is flexible, on-demand, agile and resilient.
You need to be able to access different machine types, from different regions around the world, to create composable, "supercomputer” clusters – aggregating the specific computing resource needed to deliver a particular workload.
To be efficient and cost-effective, it is important to create clusters only when they are required. By terminating instances the moment allocated tasks are complete, your business can avoid the huge opportunity cost that can occur when infrastructure is left idle.
Sometimes a cluster needs to be small, sometimes it needs to be extra-large and sometimes it needs to expand and contract during workload execution. Whatever the specific requirements may be, you need infrastructure that can respond intuitively.
To deliver workloads on time, you need to be able to rely on a solution that will handle failures elegantly, without disrupting delivery deadlines.
With YellowDog Sigma you can power your innovation with the most scalable cloud native scheduling and provisioning technology.
Benefit from a workload manager that enables you to create HPC-like clusters that are composable and consist of Spot lifecycle instances, so you can meet the varying demands of computationally heavy workloads, with the best computing resources available in the public cloud.Learn more
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