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2. Google Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   Java. C++. Python. Go. Ruby. ASN. 396982. Google Cloud Platform ( GCP ), offered by Google, is a suite of cloud computing services that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [2]

3. Google Compute Engine - Wikipedia

   en.wikipedia.org/wiki/Google_Compute_Engine

   With the cost of provisioned IOPS included within the cost of storage, users need not pay separately for the IOPS. Global scope for images and snapshots. Images and disk snapshots belong to the global scope which means they are implicitly available across all the regions and zones of Google Cloud Platform.

4. Microsoft Azure - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Azure

   Microsoft Azure, often referred to as just Azure ( /ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure ), [2] [3] [4] is a cloud computing platform developed by Microsoft. It offers management, access and development of applications and services through its global infrastructure.

5. Tensor Processing Unit - Wikipedia

   en.wikipedia.org/wiki/Tensor_Processing_Unit

   Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software.

6. Google data centers - Wikipedia

   en.wikipedia.org/wiki/Google_data_centers

   Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).

7. AWS Lambda - Wikipedia

   en.wikipedia.org/wiki/AWS_Lambda

   AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code.