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What does this offer that cortex[1] does not? With cortex supporting scale to zero it costs me less than $1/mo to idle and autoscales to a cap only when I need it even using spot instances when available if it is configured.

Disclaimer, not affiliated just enjoy the entire experience of using cortex. We are moving to KubeFlow because we need scale and more features but cortex is great for what it does.

[1]: https://www.cortex.dev/

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Big fan of cortex and i'm also on its boards often :-)

However, this works without a Kubernetes cluster, while Cortex does not. A managed kubernetes cluster on GCP e.g. costs $100/month[1].AWS, Azure is similar. For bare-metal, self managed solutions, if you can manage a cluster on your own like that then yes there is no need for BudgetML :-)

[1]: https://cloud.google.com/kubernetes-engine/pricing

> A managed kubernetes cluster on GCP e.g. costs $100/month

As the pricing link notes, it's worth pointing out your first cluster is free (aside from VM costs), and people interested in this type of project probably don't have any other clusters.

Chiming in here to +1 Cortex for fast deployments at a small-ish startup. We have 'spike-y' loads and Cortex removes the cognitive overheads of autoscaling, spot instance management, etc.

How does it compare to Hydrosphere? https://docs.hydrosphere.io/

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