Google AI Platform vs Inferrd
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. | It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line. |
“No lock-in” flexibility;
Supports Kubeflow;
Supports TensorFlow;
Supports TPUs;
Build portable ML pipelines;
on-premises or on Google Cloud;
TFX tools | Machine Learning practioners don't need to wait for engineering to deploy their models anymore; No need to invest in expensive infrastructure and tooling. Inferrd starts at $14, batteries included;
Built with security in mind. Your models are protected using state-of-the-art encryption at rest. |
Statistics | |
Stacks 49 | Stacks 2 |
Followers 119 | Followers 11 |
Votes 0 | Votes 10 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
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