Amazon Web Services (AWS)

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19,128 reviews
  • 453 profiles
  • 273 categories
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4.4
#1 in 34 categories
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Serving customers since
2006
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MobileNet V2 1.40 224

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It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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Faster R-CNN Resnet-152 V1 800x1333

0 reviews

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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AlexNet

0 reviews

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

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Nimble Studio Deadline Linux Farm Worker

0 reviews

Scale your rendering workloads to tens of thousands of cores in minutes. Utilizing the render farm deployment kit (RFDK) and AWS Thinkbox Deadline for render orchestration, Nimble Studio provides an integrated render farm along with this Deadline Linux Farm Worker AMI that leverages EC2 Spot pricing.

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DistilBERT Base Cased

0 reviews

It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

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XLM MLM English-Romanian

0 reviews

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English and Romanian Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model

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Nimble Studio StudioBuilder

0 reviews

Nimble Studio's StudioBuilder helps you create a virtual studio from scratch. Walk through and set up your studio by creating networking, render farm, and storage resources. The StudioBuilder process creates and deploys new resour

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XLM CLM English-German

0 reviews

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English and German Wikipedia returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI]

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DistilRoBERTa Base

0 reviews

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences.

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Amazon Web Services (AWS) Reviews

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Profile Name
Star Rating
12585
5525
760
149
100
Abhinandan K.
AK
Abhinandan K.
Associate Copy EditorHospital & Health CareEnterprise (> 1000 emp.)
11/03/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Blazing-Fast Analytics on AWS, but Manual Tuning Still Required

I love how fast it handles massive datasets. The columnar storage and parallel processing mean complex analytical queries finish in seconds rather than hours. It also plugs perfectly into our existing AWS stack, so loading data straight from S3 using Redshift Spectrum is incredibly smooth and saves us a ton of engineering time.
Hiro J.
HJ
Hiro J.
Technical ManagerSmall-Business (50 or fewer emp.)
11/03/2026
Validated Reviewer
Verified Current User
Review source: G2 invite

Data Analytics and Reporting

Pipeline sync, scalable, fast performance
Verified User in International Trade and Development
UI
Verified User in International Trade and Development
Mid-Market (51-1000 emp.)
11/02/2026
Validated Reviewer
Review source: Thank You page

Serverless Simplicity: Auto-Scaling Microservices, Pay Only for What You Use

The serverless model — no infrastructure to manage, automatic scaling, and you only pay for what you use. It makes spinning up lightweight microservices and event-driven workflows very straightforward

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What is Amazon Web Services (AWS)?

Amazon Web Services (AWS), a subsidiary of Amazon, is a leading cloud computing platform that provides a wide range of on-demand services such as computing power, data storage, databases, networking, and artificial intelligence tools. It enables businesses to build, deploy, and scale applications without investing in physical infrastructure, using a flexible pay-as-you-go pricing model. With a global network of data centers, AWS supports organizations of all sizes—from startups to large enterprises—by offering reliable, secure, and highly scalable solutions for modern digital operations.

Details

Year Founded
2006
Ownership
NASDAQ: AMZN
Website
aws.amazon.com