Foundations Atlas
ML dev tool that saves you up to 8x in cloud GPU costs
What it does
Atlas allows you to run, track & evaluate machine learning experiments on your infrastructure. Currently used by 700+ data scientists, Atlas helps run experiments concurrently & supports the usage of preemptible/spot instances, saving you up to 8x in GPU cost
Does the same job
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- AAAtlas – A deployment pipeline platform built on Argo CD2022 · greenops.io · ▲66
Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!
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