
Spell Model Serving
Deploy, Track, and Monitor Machine Learning Models
Spell Model Serving launched on September 17, 2020 with 5 votes, #1,596 of 3,919 launches that month.
What it does
A simple and efficient way to deploy, serve, and manage machine learning models in your production applications. Serving with high performance and auto-scaling, deployable on the cloud with Kubernetes.
Does a similar job
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- DMDeploy ML Models on a Budget2021 · github.com · ▲117




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Source: Product Hunt launch ↗
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