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Cloud computing

PreviousDockerNextAWS

Last updated 5 years ago

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  • - Effortless infrastructure for Machine Learning and Data Science.

  • - Has generous .

  • - Build, train, and deploy machine learning models at scale.

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Servers

  • - Linux & BSD virtual private servers.

  • - Cloud instances delivered in seconds with backup, network and security options.

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- Build, test, and deploy globally with Netlify’s all-in-one platform for modern web projects. ()

- Optimal workflow for frontend teams. All-in-one: Static and JAMstack deployment, Serverless Functions, and Global CDN.

- Run any app on any cloud.

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