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2. Cloud-computing comparison - Wikipedia

   en.wikipedia.org/wiki/Cloud-computing_comparison

   Download QR code; Print/export ... Amazon Web Services: 2006 Yes Yes Partial [6] Yes Yes [7] ... Safe Swiss Cloud [43] OpenStack: Yes Yes Yes

3. 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]

4. 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.

5. A Cloud Guru - Wikipedia

   en.wikipedia.org/wiki/A_Cloud_Guru

   A Cloud Guru is an online learning platform that specializes in teaching cloud computing and related technologies. Most of the courses offered prepare students to take certification exams for the three major cloud providers ( Microsoft Azure , Google Cloud Platform , and Amazon Web Services ).

6. Amazon Elastic Compute Cloud - Wikipedia

   en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

   Amazon EC2 Spot instances are spare compute capacity in the AWS cloud available at up to 90% discount compared to On-Demand prices. [23] As a trade-off, AWS offers no SLA on these instances and customers take the risk that it can be interrupted with only two minutes of notification when Amazon needs the capacity back.

7. 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 ...