AWS CloudFormation vs. PyTorch on AWS
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
AWS CloudFormation | Score8.8 out of 10 | N/A | AWS CloudFormation gives developers and systems administrators a way to create and manage a collection of related AWS resources, provisioning and updating them in a predictable fashion. Use AWS CloudFormation’s sample templates or create templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run an application. Users don’t need to figure out the order for provisioning AWS services or the subtleties of making those dependencies work.… | $0 |
PyTorch on AWS | Score10 out of 10 | N/A | PyTorch is an open source deep learning framework. PyTorch on AWS using Amazon SageMaker presents a fully managed machine learning service used to build, train, and deploy PyTorch models at scale. For managing one's own infrastructure, one can use the AWS Deep Learning AMIs or the AWS Deep Learning Containers, which come pre-installed with PyTorch to deploy custom machine learning environments. | N/A |
| AWS CloudFormation | PyTorch on AWS | |||||||||||||||
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| Editions & Modules |
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| Offerings |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | There is no additional charge for using AWS CloudFormation with resource providers in the following namespaces: AWS::*, Alexa::*, and Custom::*. In this case you pay for AWS resources (such as Amazon EC2 instances, Elastic Load Balancing load balancers, etc.) created using AWS CloudFormation as if you created them manually. You only pay for what you use, as you use it; there are no minimum fees and no required upfront commitments. When you use resource providers with AWS CloudFormation outside the namespaces mentioned above, you incur charges per handler operation. Handler operations are create, update, delete, read, or list actions on a resource. | — | ||||||||||||||
| More Pricing Information | ||||||||||||||||
| AWS CloudFormation | PyTorch on AWS | |
|---|---|---|
| Considered Both Products | No answer on this topic | No answer on this topic |
| Key User Insights | ||
| Would buy again | ||
100% Would buy again 5 Answers | No answers on this topic | |
| Delivers good value for the price | ||
100% Delivers good value for the price 5 Answers | No answers on this topic | |
| Happy with the feature set | ||
80% Happy with the feature set 4 Answers | No answers on this topic | |
| Lived up to sales and marketing promises | ||
80% Lived up to sales and marketing promises 4 Answers | No answers on this topic | |
| Implementation went as expected | ||
100% Implementation went as expected 5 Answers | No answers on this topic | |
| AWS CloudFormation | PyTorch on AWS | |
|---|---|---|
| Small Businesses | Salt Score6.2 out of 10 | DigitalOcean Droplets Score8.8 out of 10 |
| Medium-sized Companies | Perforce Puppet Score8.9 out of 10 | IBM Cloud Bare Metal Servers Score8.7 out of 10 |
| Enterprises | AWS Config Score7 out of 10 | SAP on IBM Cloud Score9.5 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| AWS CloudFormation | PyTorch on AWS | |
|---|---|---|
| Likelihood to Recommend | 7.6 | - |
| AWS CloudFormation | PyTorch on AWS | |
|---|---|---|
| Likelihood to Recommend |
| No answers on this topic |
| Pros |
| No answers on this topic |
| Cons |
| No answers on this topic |
| Usability |
| No answers on this topic |
| Alternatives Considered |
| No answers on this topic |
| Return on Investment |
| No answers on this topic |
| ScreenShots | AWS CloudFormation Screenshots |



