Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Fast.ai is a popular open-source library for deep learning, especially for natural language processing (NLP) tasks. It is known for its ease of use and its ability to achieve state-of-the-art results on a variety of NLP tasks.
NumPy and Pandas are two popular Python libraries for scientific computing and data analysis. NumPy provides a high-performance array data structure, while Pandas provides a powerful data analysis toolkit.
The Fast.ai with NumPy and Pandas on Ubuntu 22 AMI is a re-packaged AMI provided by Apps4Rent on AWS Marketplace. Apps4Rent is a cloud computing company that specializes in providing pre-configured and managed cloud environments.
This AMI includes all the necessary software and dependencies to get started with Fast.ai, NumPy, and Pandas on Ubuntu 22. It is also pre-configured with a number of features that make it easy to use, such as:
A pre-trained language model A set of pre-built datasets A collection of tutorials and documentation This AMI is ideal for developers, researchers, and students who want to use Fast.ai for NLP tasks. It is also a good choice for anyone who wants to learn about deep learning and NLP.
Here are some of the benefits of using this AMI:
You can get started quickly and easily, without having to install and configure all the necessary software. You can be confident that the software is up-to-date and secure. You can get support from Apps4Rent if you need help with anything. If you are interested in learning more about this AMI, please visit the AWS Marketplace listing.
Here are some of the specific contributions made by Apps4Rent:
They pre-configured the AMI with all the necessary software and dependencies. They created a set of pre-built datasets that are compatible with Fast.ai. They developed a collection of tutorials and documentation to help users get started with the AMI. They provide support for the AMI through their website and forums. By making these contributions, Apps4Rent has made it easier for developers, researchers, and students to get started with Fast.ai for NLP tasks
Apps4Rent Managed Service: https://www.apps4rent.com/managed-aws/
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
- The AMI comes pre-configured with Fast.ai, NumPy, Pandas. The AMI is designed to be easy to use, even for beginners. The documentation is clear and concise, and there are a number of tutorials available to help you get started.
- The AMI is designed to be easy to use, even for beginners. The documentation is clear and concise, and there are a number of tutorials available to help you get started.
- Apps4Rent provides support for the AMI through their website and forums. This means that you can get help if you need it, even if you're not a technical expert. Apps4Rent Managed Service: https://www.apps4rent.com/managed-aws/
Details
Typical total price
$0.27/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 | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
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 |
t3.medium | $0.10 | $0.042 | $0.142 |
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
*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
Dependencies versions:
Python3: 3.10.6 Pip3: pip 22.0.2
Command to verify the installation:
Command to check Fast.ai version: (It will show "1.0.61"). Command to check Numpy version: pip show numpy (It will show "1.25.2"). Command to check Pandas version: pip show pandas (It will show "2.0.3"). Command to check Python3 version: python3 --version (It will show "3.10.6"). Command to check Pip3 version: pip3 --version (It will show "22.0.2").
This re-packaged software also includes some more AI/ML frameworks and directories to see all of them type: pip list (This will show all the python libraries and Framework present in this Machine).
Additional Details:
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.
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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