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 a fully featured framework for building deep learning models, which is a type of machine learning that is commonly used in applications like image recognition and language processing. PyTorch is an optimized Deep Learning tensor library based on Python and Torch.
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Here PyTorch is install on Ubuntu 22.04 using python, pip and CPU only. PyTorch is a framework developed by Facebook AI Research for deep learning, featuring both beginner-friendly debugging tools and a high-level of customization for advanced users, with researchers and practitioners using it across companies like Facebook and Tesla. Applications include computer vision, natural language processing, cryptography, and more.
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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.
Highlights
- Apps4Rent provides PyTorch (using python, pip and CPU only) on ubuntu 22.04 which is ready to use for Production Environment.
Details
Typical total price
$0.146/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium Recommended | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.10 | $0.186 | $0.286 |
t2.2xlarge | $0.10 | $0.371 | $0.471 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
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 Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu
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This software does not store any sensitive customer information.
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This software does not require any type of data encryption configuration.
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Programmatic system credentials and cryptographic keys are not required for this product.
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Run the following command to verify the PyTorch installation on the machine: pip show torch OR
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open a Python3 shell by typing python3. Once the Python shell is open, type the following commands to verify the PyTorch installation on the machine.
- import torch
- print(torch.version)
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
Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.
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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