Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
PyTorch is a powerful and popular open-source machine learning framework based on the Torch library. Its widely used for tasks like computer vision, natural language processing, and deep learning research. PyTorch utilizes a dynamic computational graph, allowing for greater flexibility and adaptability during model development. A rich ecosystem of libraries and tools like Torchvision and PyTorch Lightning simplifies various aspects of machine learning development. TensorFlow is another powerful open-source library for machine learning and artificial intelligence, especially focusing on training and deploying deep neural networks. It boasts a diverse range of capabilities and a vibrant community.
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 TensorFlow 2 & PyTorch which is ready to use for Production Environment
- This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
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 |
|---|---|---|---|
t1.micro | $0.10 | $0.02 | $0.12 |
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 |
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 of any of the products mentioned above. The products come 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
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
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. Run the basic command below for verifying the installation of Tensor Flow and PyTorch: i) Once you log in into the instance update the instance with the sudo apt-get update. ii) Now activate the virtual environment created to install Tensor Flow 2 and PyTorch: source my-env/bin/activate iii) To check the version of Tensor Flow run: pip show tensorflow iv) To check the version of PyTorch run: pip show torch
Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required, for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save it 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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