Amazon Web Services (AWS)

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18,252 reviews
  • 447 profiles
  • 224 categories
Average star rating
4.4
#1 in 34 categories
Grid® leader
Serving customers since
2006
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ResNet V2 101

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. 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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MobileNet V1 0.75 224

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. 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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DenseNet 121

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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MobileNet V2 1.40 224

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. 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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Amazon Web Services (AWS) Reviews

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Profile Name
Star Rating
11952
5318
731
146
97
Tharun Chari K.
TK
Tharun Chari K.
FreelancerMid-Market (51-1000 emp.)
10/23/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Amazon EKS Simplifies Kubernetes Management with Seamless AWS Integration

What I like most about Amazon EKS is that it simplifies Kubernetes management without having to manage the control plane ourselves. It integrates well with AWS services and makes it easier to deploy, scale, and monitor applications. It also works well with CI/CD pipelines to automate deployments.
Aashish d.
AD
Aashish d.
Software engineer Computer SoftwareSmall-Business (50 or fewer emp.)
10/14/2026
Validated Reviewer
Review source: Organic

Cost-Effective Scaling, but Strict Suspensions and a Tedious Sandbox Exit

What I love most about Amazon SES is its pricing and how smoothly it scales. Unlike other email providers that start charging huge monthly premiums as your contact list grows, SES lets you pay only for what you actually send. That makes it extremely cost-effective, especially when you’re handling high-volume transactional emails such as receipts or password resets.
Abhishek G.
AG
Abhishek G.
StudentSmall-Business (50 or fewer emp.)
10/14/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Flexible, Reliable Server Scaling with Amazon EC2

What I like most about Amazon EC2 is how easy it makes it to set up and manage servers without needing physical hardware. I can quickly launch instances, scale resources whenever needed, and pay only for what I use. It’s flexible, reliable, and saves both time and effort when deploying applications.

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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