Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. Embark on a groundbreaking journey into the world of NLTK, Tensorflow, Text2vec on AWS Linux 2023 with Apps4Rent's pre-configured server on the AWS Marketplace. This powerhouse combines the unparalleled potential of NLTK, Tensorflow, and Text2vec, leading frameworks for natural language processing and machine learning, with the raw processing power of NVIDIA GPUs and essential scientific libraries. Get ready to revolutionize your research, break through computational barriers, and push the boundaries of what's possible. Build your AI empire on the reliable foundation of AWS Linux 2023. Enjoy a familiar, stable, and secure environment optimized for scientific computing needs. Discover the streamlined access and deployment of Apps4Rent's server on the AWS Marketplace. Launch your AI journey in minutes, without wrestling with configurations or installation hassles. Adapt your resources to your evolving needs. The flexible nature of AWS lets you seamlessly scale your server configuration, ensuring you always have the perfect match for your growing AI aspirations. 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
- Explore the possibilities of cutting-edge AI and scientific computing with our pre-configured servers on the AWS Marketplace. Powered by NLTK, Tensorflow, and Text2vec, these offerings from Apps4Rent bring together robust frameworks and GPU acceleration, enabling you to delve into advanced machine learning and natural language processing. Revolutionize your research and computational capabilities effortlessly.
- Embark on a seamless AI journey with Apps4Rent's pre-packaged servers for Ubuntu, Debian, AWS Linux 2023, and AWS Linux 5.10 on the AWS Marketplace. Leveraging the power of NLTK, Tensorflow, and Text2vec, these servers offer a stable and secure environment for scientific computing needs. Whether you choose Ubuntu, Debian, or AWS Linux, you're assured of a flexible and scalable solution to match your evolving AI aspirations.
- Maximize the potential of NLTK, Tensorflow, and Text2vec on our pre-configured servers available for Ubuntu 20.04 LTS, Debian 12, AWS Linux 2023, and AWS Linux 5.10. Apps4Rent's offerings on the AWS Marketplace provide a solid foundation for AI development, combining powerful frameworks with GPU processing. Easily launch your AI projects without the hassle of intricate configurations, and adapt your resources effortlessly to meet your growing computational needs.
Details
Typical total price
$0.146/hour
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 |
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 (gp3) volumes | $0.08/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
NLTK release notes: https://www.nltk.org/news.html
Tensorflow release notes: https://github.com/tensorflow/tensorflow/releases
Additional details
Usage instructions
Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ec2-user
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.
Dependencies version check: Python3: python3 --version 3.9.16 Pip3: pip --version (23.0.1)
To activate python enviroment: source myvenv/bin/activate To verify installations of NLTK, TensorFlow and Text2vec: pip show nltk tensorflow text2vec NLTK: 3.8.1 TensorFlow: 2.15.0 Text2vec: 1.2.9 Command to exit python enviroment: deactivate
*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 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.