Sold by: Intuz
AWS Free Tier
Intuz offers TensorFlow, a free and open-source software library designed to assist developers of all levels, from novice to advanced, in building ML models for desktop, mobile, web, and cloud applications.
Overview
The TensorFlow stack provides a framework for building and deploying AI applications that involve tasks such as image and speech recognition, NLP, and predictive analytics. It employs a data flow graph to represent mathematical computations. It is highly extensible - apt for any business project. BAAR, cnvrg.io, Actian Avalanche, and Aporia are popular tools that integrate with TensorFlow.
Highlights
- Deploys models in the browser, on-device, cloud, and on-premise.
- Supported by a thriving community of developers and researchers worldwide.
- Facilitates the execution of ML algorithms on hardware platforms such as CPUs, GPUs, and even mobile devices.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3a.medium Recommended | $0.00 |
t2.micro AWS Free Tier | $0.00 |
t3.micro AWS Free Tier | $0.00 |
t2.nano | $0.00 |
g5.48xlarge | $0.00 |
r6i.24xlarge | $0.00 |
m3.xlarge | $0.00 |
r4.16xlarge | $0.00 |
r5a.2xlarge | $0.00 |
c6a.large | $0.00 |
Vendor refund policy
Intuz will not refund money in any case.However, you can cancel your subscription any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Latest Stable Release
Additional details
Usage instructions
irst, take SSH of the Instance by typing "ssh -i yourpemkeyname.pem ubuntu@yourinstanceip" Then go to the root user by typing "sudo -i" There is a directory called Tensorflow-Dev, Change the directory by typing "cd /root/tensorflow-dev/bin" then type "source activate", It'll activate Python Virtual Environment Now you can add your code and run it in the following path You can use Tensorflow by importing it into the Python Code To import Tensorflow, add the following line, "import tensorflow as tf" To deactivate the Virtual Environment type "deactivate"
Resources
Vendor resources
Support
Vendor support
Intuz team provides the best technical documentation for installation and setup through this guide: https://www.intuz.com/cloud/stack/tensorflow
We provide best effort technical support for this product. We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or query, you can drop an email here: cloudsupport@intuz.com or fill up this form:
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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