Overview
Tensorflow on Ubuntu 24.04 with maintenance support by ATH. This is a repackaged open source software product wherein additional charges apply for support. TensorFlow is a robust and flexible open-source library developed by Google that facilitates the development and deployment of machine learning models. Designed for both research and production, TensorFlow provides a comprehensive suite of tools and libraries that allow developers to build complex neural networks and machine learning algorithms. Its architecture supports both CPU and GPU acceleration, making it suitable for a variety of applications, from small-scale projects to large-scale production systems. TensorFlow also integrates well with other tools and platforms, such as TensorBoard for visualization and TensorFlow Lite for mobile and embedded device deployment.
Highlights
- TensorFlow allows developers to deploy machine learning models on various platforms, including desktops, mobile devices, and large-scale distributed systems. Its architecture supports both high-level APIs for rapid development and low-level APIs for fine-grained control.
- TensorFlow includes a suite of tools like TensorBoard for visualization, TensorFlow Lite for mobile and embedded devices, and TensorFlow Extended (TFX) for end-to-end machine learning pipelines. This ecosystem supports a wide range of machine learning workflows and applications.
- TensorFlow features automatic differentiation, which simplifies the process of training neural networks by automatically computing gradients needed for optimization. This feature is essential for efficiently training complex models using gradient-based optimization algorithms.
Details
Typical total price
$0.12/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.001 | $0.012 | $0.013 |
t2.small | $0.02 | $0.023 | $0.043 |
t2.medium | $0.02 | $0.046 | $0.066 |
t2.large | $0.02 | $0.093 | $0.113 |
t2.xlarge | $0.02 | $0.186 | $0.206 |
t2.2xlarge | $0.02 | $0.371 | $0.391 |
t3.nano | $0.02 | $0.005 | $0.025 |
t3.micro AWS Free Tier | $0.02 | $0.01 | $0.03 |
t3.small | $0.02 | $0.021 | $0.041 |
t3.medium | $0.02 | $0.042 | $0.062 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
No Refund
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
Try one unit of this product for 5 days. There will be no software charges for that unit, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration and you will be charged for additional usage above the free units provided.
Additional details
Usage instructions
Connect your virtual machine via SSH using username "ubuntu". To Access your application enter below commands:
- sudo su
- source tensorflow_env/bin/activate
- python
- import tensorflow as tf after running above command wait for 60 seconds and then run below command to check the version and start using your application.
- print(tf.version)
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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