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 Deep Learning Base OSS Nvidia Driver is an essential solution for developers and researchers working with deep learning on Amazon Linux 2. This driver enables users to fully leverage the powerful capabilities of Nvidia GPUs, optimizing the performance of their artificial intelligence applications.
Key Features: Full Compatibility: Specifically designed to work with Amazon Linux 2, ensuring seamless integration with Amazon Web Services (AWS). Accelerated Performance: Provides faster and more efficient processing of deep learning algorithms, facilitating the training of complex models and handling large datasets. Open Source: As an open-source (OSS) driver, it offers flexibility for customization to meet specific needs. Easy Installation: Features a straightforward installation process, making it ideal for both beginners and advanced users. Comprehensive Documentation: Includes extensive resources and guides that help users get started quickly and effectively troubleshoot issues. Common Uses: This driver is perfect for applications in fields such as computer vision, natural language processing, and robotics, where advanced computational capabilities are required for model training and inference.
Highlights
- Optimized GPU Utilization: This driver is specifically engineered to enhance the performance of Nvidia GPUs within deep learning frameworks, enabling significant acceleration of model training and inference processes, thereby improving overall computational efficiency.
- Seamless Integration with AWS: Designed for compatibility with Amazon Linux 2, the driver ensures a streamlined integration with the robust ecosystem of Amazon Web Services, facilitating an efficient deployment of machine learning applications in cloud environments
- Customizable Open Source Framework: As an open-source solution, the Deep Learning Base OSS Nvidia Driver provides users with the flexibility to modify and optimize the software according to their unique project requirements, fostering innovation and adaptability in various research and development contexts.
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
20241101
Additional details
Usage instructions
Usage instructions Amazon Linux 2 To connect to an ec2-userinstance on AWS using SSH with the username ubuntu, 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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