A recent press release reports, “Dell EMC, a leading provider of full-stack solutions for data science teams, and Comet, the industry-leading meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet’s meta machine learning platform. With Dell EMC PowerEdge reference architectures, organizations can deploy artificial intelligence workload-optimized rack systems approximately 6-12 months faster than it would have taken to design the correct configurations and deploy the solution. Organizations can now rely on architectures that are tested and validated by our Dell engineers and know that services are available when and where you need them.”

The release continues, “Comet is a meta machine learning experimentation platform allowing users to automatically track their metrics, hyperparameters, dependencies, GPU utilization, datasets, models, debugging samples, and more. By leveraging Comet, data science teams produce faster research cycles, and more transparent and collaborative data science. Comet also provides a built-in hyperparameter optimization service, interactive confusion matrices, full code tracking and reproducibility features. Comet on-premise installations can support teams of any size, from a single machine to distributed microservices. ‘This is one of those products that makes you question how you functioned without it. Comet gives data science teams the automation and productivity features they need, but that they never get around to developing themselves,’ says Phil Hummel, Senior Principal Engineer and Distinguished Member of Technical Staff, Dell EMC.”

Read more at Newswire.

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