Overview
This is a repackaged open source software product wherein additional charges apply associated includes additional support provided by Fifty Clouds. By choosing this product, you gain not only the robustness of the original software but also access to specialized technical assistance and updates, ensuring optimal performance and seamless integration in your AWS environment. The NVIDIA driver is essential for harnessing the power of GPUs in deep learning projects, providing the necessary interface for TensorFlow to access graphical resources. By using this driver, developers can accelerate the training and inference of complex models, enhancing performance and reducing processing times. With the integration of technologies like CUDA and cuDNN, TensorFlow optimizes GPU usage, facilitating the handling of large datasets and computationally intensive mathematical operations. This combination enables researchers and businesses to implement more efficient and scalable artificial intelligence solutions.
Highlights
- Accelerated Performance: Leverage NVIDIA GPUs to significantly speed up the training and inference of deep learning models, reducing processing times and enabling faster iterations.
- Optimized Resource Utilization: Utilize CUDA and cuDNN libraries to maximize GPU efficiency, allowing for seamless handling of large datasets and complex computations essential for advanced AI applications.
- Scalability and Flexibility: Easily scale your deep learning workloads with TensorFlow, adapting to growing data needs and model complexity, while benefiting from the robust infrastructure provided by NVIDIA technologies.
Details
Typical total price
$0.193/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large Recommended | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.20 | $0.186 | $0.386 |
t2.2xlarge | $0.40 | $0.371 | $0.771 |
t3.nano | $0.05 | $0.005 | $0.055 |
t3.micro AWS Free Tier | $0.05 | $0.01 | $0.06 |
t3.small | $0.05 | $0.021 | $0.071 |
t3.medium | $0.10 | $0.042 | $0.142 |
t3.large | $0.10 | $0.083 | $0.183 |
t3.xlarge | $0.20 | $0.166 | $0.366 |
t3.2xlarge | $0.40 | $0.333 | $0.733 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
For this offering, Fifty Clouds does not offer refund, you may cancel at anytime.
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
ver-2024
Additional details
Usage instructions
Usage instructions Amazon linux 2 To connect to an Ubuntu instance on AWS using SSH with the username ec2-user, you can follow these three steps:
Open your Terminal or SSH Client:
On your local system, open the terminal or SSH client of your choice. You can use the terminal on your operating system if you're on Linux or macOS, or an SSH client like PuTTY if you're on Windows.
In the terminal, use the SSH command followed by the public IP address of your instance and the username ec2-user. For example:
ssh -i /path/to/your/private-key.pem ec2-user@your-public-ip-address
Replace your-public-ip-address with the public IP address of your instance.
For more information: Connect to your instance, see the AWS EC2 documentation: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html
Support
Vendor support
Remote support support@fifty-clouds.com
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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