Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support for converged clusters to run key HPC-AI-HPDA (AI, HPC, and High Performance Data Analytic) workloads.

The success of workload optimized compute servers has created the need for converged clusters as organizations have generally added workload optimized clusters piecemeal to support their disparate AI, HPC, and HPDA needs.

Unfortunately, many disparate clusters operate in isolation, dedicating their resources for specific workloads and managed by humans, essentially placing them in a silo that prevents their benefitting the entire organization. This makes little sense from an operating efficiency perspective as it wastes both operation time plus OpEx (operating expense) and CapEx (capital expense) monies.[i] Read More

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