Overview
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This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
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PyTorch is an open-source machine learning (ML) framework based on the Python programming language and the Torch library. PyTorch is a fully featured framework for building deep learning models, which is a type of machine learning that's commonly used in applications like image recognition and language processing. Written in Python, it is relatively easy for most machine learning developers to learn and use.
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Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch. For more details visit: https://www.apps4rent.com/managed-aws/
Highlights
- Apps4Rent provides PyTorch installed on windows server 2019, which is ready to use for production environment.
- For any custom build AMI's of your choice contact us on "support@apps4rent.com".
- For more details visit: https://www.apps4rent.com/managed-aws/
Details
Typical total price
$0.164/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.008 | $0.108 |
t2.micro AWS Free Tier | $0.10 | $0.016 | $0.116 |
t2.small | $0.10 | $0.032 | $0.132 |
t2.medium Recommended | $0.10 | $0.064 | $0.164 |
t2.large | $0.10 | $0.121 | $0.221 |
t2.xlarge | $0.10 | $0.227 | $0.327 |
t2.2xlarge | $0.10 | $0.433 | $0.533 |
t3.nano | $0.10 | $0.01 | $0.11 |
t3.micro AWS Free Tier | $0.10 | $0.02 | $0.12 |
t3.small | $0.10 | $0.039 | $0.139 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Usage instructions: For Windows:
- Connect to your Windows instance via port no. 3389 using RDP Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html
Sign-in credentials: Username: Administrator
- Get Started with This Ready-To-Go PyTorch on Windows Server2019.
- This software does not store any sensitive customer information.
- This software does not require any type of data encryption configuration.
- programmatic system credentials and cryptographic keys are not required for this product.
- To verify PyTorch installation run, following command in the command prompt: pip show torch
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To verify that PyTorch has been installed correctly, open a Python shell by typing python in the command prompt or terminal window. Once the Python shell is open, type the following commands:
- import torch
- print(torch.version)
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Below are the minimum external resources subscriber needs to have to use this product:
- An Internet Connection is required in order for this product to function as expected.
- We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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