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  2. Cloud-computing comparison - Wikipedia

    en.wikipedia.org/wiki/Cloud-computing_comparison

    Provider Launched Block storage Assignable IPs SMTP support IOPS Guaranteed minimum Security Locations Notes Google Cloud Platform: 2013 Yes No No [1]: Yes Yes [2 ...

  3. Amazon Elastic Compute Cloud - Wikipedia

    en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

    Amazon Elastic Compute Cloud (EC2) is a part of Amazon's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications.

  4. Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Amazon_Web_Services

    Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis. Clients will often use this in combination with autoscaling (a process that allows a client to use more computing in times of high application usage ...

  5. Comparison of online backup services - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_online...

    ^5 Cloud hosted Net Drive: Cloud can serve storage over WebDAV, SMB/CIFS, NFS, AFP or other NAS protocol, allowing files to be streamed from the cloud. A change made to the cloud is immediately accessible to applications on all clients without needing to pre-download (sync) the file in full.

  6. Category:Cloud computing providers - Wikipedia

    en.wikipedia.org/wiki/Category:Cloud_computing...

    Topics about Cloud computing providers in general should be placed in relevant topic categories For more information, see Cloud computing . Cloud computing providers are notable entities who have verifiably significant production cloud computing service offerings.

  7. Amazon SageMaker - Wikipedia

    en.wikipedia.org/wiki/Amazon_SageMaker

    Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices. [2] [3] The platform was launched in November 2017. [4]

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