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Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]
Google Cloud Shell is an online, browser-based command-line environment provided by Google Cloud Platform (GCP). It is a Debian-based virtual machine with a persistent 5 GB home directory, allowing users to manage their GCP resources and projects directly from their web browser. [1] [2] [3]
Google Compute Engine enables users (utilising authentication based on OAuth 2.0) to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users. Google Compute Engine can be accessed via the Developer Console, RESTful API or command-line interface (CLI).
In May 2018, Google announced the third-generation TPUs delivering up to 420 teraflops of performance and 128 GB high bandwidth memory (HBM). Cloud TPU v3 Pods offer 100+ petaflops of performance and 32 TB HBM. [26] In February 2018, Google announced that they were making TPUs available in beta on the Google Cloud Platform. [27]
Google Cloud Platform, a suite of computing services offered by Google; Google Cloud Print, a Google service that prints documents; Ground control point, in geographic information system image rectification
The flow from the warehouse usually represents reading of the data stored in the warehouse, and the flow to the warehouse usually expresses data entry or updating (sometimes also deleting data). The warehouse is represented by two parallel lines between which the memory name is located (it can be modeled as a UML buffer node).
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
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