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  2. 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 ...

  3. Amazon (company) - Wikipedia

    en.wikipedia.org/wiki/Amazon_(company)

    Amazon Web Services (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. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms .

  4. AWS Glue - Wikipedia

    en.wikipedia.org/wiki/AWS_Glue

    AWS Glue is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It was introduced in August 2017. It was introduced in August 2017. [ 2 ]

  5. Annapurna Labs - Wikipedia

    en.wikipedia.org/wiki/Annapurna_Labs

    Annapurna Labs, named after the Annapurna Massif in the Himalayas, was co-founded in 2011 [3] by Bilic "Billy" Hrvoje, a Bosnian Jewish refugee, Nafea Bshara, an Arab Israeli citizen, [4] [5] and Ronen Boneh with investments from the independent investors Avigdor Willenz, Manuel Alba, Andy Bechtolsheim, the venture capital firm Walden International, Arm Holdings, [6] and TSMC.

  6. Amazon S3 - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3

    Amazon Simple Storage Service (S3) is a service offered by Amazon Web Services (AWS) that provides object storage through a web service interface. [1] [2] Amazon S3 uses the same scalable storage infrastructure that Amazon.com uses to run its e-commerce network. [3]

  7. Amazon SageMaker - Wikipedia

    en.wikipedia.org/wiki/Amazon_SageMaker

    Regardless of which level of abstraction is used, a developer can connect their SageMaker-enabled ML models to other AWS services, such as the Amazon DynamoDB database for structured data storage, [9] AWS Batch for offline batch processing, [9] [10] or Amazon Kinesis for real-time processing. [11]