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A collaboration with two of our strategic partners, Merge IT and Zadara. The purpose of this dedicated showcase is to demonstrate that we can take Kaggle Datasets, codebases and scripts to benchmark certain Machine Learning models on different hardware stacks.
We baselined the initial tests on a small machine in AWS utilising a legacy NVIDIA GPU and then ran the same Datasets, codebases and scripts on two Zadara virtual machines running on their zCompute platform, which utilises 2x newer GPUs from NVIDIA.
We captured all of the performance and resource utilisation statistics in order to showcase that intense workload processing such as medical image scanning can be run in a short amount of time. By targeting a small subset of the Data, we can align modest compute and storage resources.
OUR PARTNERS: