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This product has charges associated with it for seller support. The ECS-Optimized Amazon Linux 2 GPU AMI is designed for high-performance computing workloads, providing a robust platform for deploying applications that require enhanced graphical processing capabilities. With built-in optimizations for Amazon ECS, this AMI seamlessly integrates with containerized environments, facilitating efficient resource management and scaling. It supports NVIDIA GPUs, making it ideal for machine learning, data analytics, and rendering tasks. Users can leverage advanced security features and automatic updates, ensuring reliable performance and compliance. This AMI is perfect for developers and data scientists looking to accelerate their workflows while benefiting from the flexibility and scalability of the AWS cloud. Launch this AMI to harness the power of GPU-accelerated applications effortlessly.
Overview
This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
The ECS-Optimized Amazon Linux 2 GPU AMI provides a robust and flexible operating environment, specifically tailored for deploying containerized applications on Amazon Elastic Container Service (ECS).
Amazon Linux 2 Key Features:
- Optimized for GPU Workloads: Leverage NVIDIA GPU support for high-performance computing tasks like machine learning, graphics rendering, and data analytics.
- Pre-installed Tools: Comes with pre-installed Docker, the ECS agent, and CloudWatch logs, ensuring seamless integration and monitoring of your applications.
- Enhanced Security: Built with security features such as SELinux and automatic updates, it delivers a secure environment for your containers.
- AWS Integration: Deeply integrated with AWS services, providing easy access to resources such as RDS, S3, and IAM for managing permissions.
- Scalable Performance: Built to support scaling instances up or down efficiently, adapting dynamically based on application load.
Amazon Linux 2 Benefits:
- Faster Deployment: Quickly launch containerized applications using ECS with minimal setup time.
- Cost-effective: Only pay for what you use, optimizing resource utilization and reducing overall costs.
- Reduced Complexity: Simplifies deployment and management of containerized applications, enabling developers to focus on building software rather than managing infrastructure.
Amazon Linux 2 Use Cases:
- Machine Learning: Ideal for training ML models and running inference workloads that require powerful GPU capabilities.
- Rendering Solutions: Provides the necessary performance for rendering tasks in industries like animation and video production.
- Data Analytics: Support intensive data analysis tasks requiring high computational power.
This Amazon Linux 2 AMI serves as a reliable foundation for deploying GPU-accelerated containerized applications on the AWS cloud, making it an excellent choice for developers looking to harness the full power of GPU workloads.
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Highlights
- The ECS-Optimized Amazon Linux 2 GPU AMI is specifically designed for running containerized applications on Amazon Elastic Container Service (ECS) with GPU support. It offers optimized performance for GPU-based workloads, enabling users to leverage powerful graphics processing capabilities. This makes it ideal for machine learning, high-performance computing, and gaming applications, allowing developers to run resource-intensive tasks efficiently and at scale.
- This Amazon Linux 2 AMI supports a broad range of use cases, including machine learning, 3D rendering, and scientific simulations. By utilizing the power of GPUs, users can significantly enhance the performance of graphic-intensive or parallel processing applications. The Amazon Linux 2 base allows developers to leverage a stable, secure, and up-to-date platform, perfectly balancing performance with security best practices to satisfy enterprise requirements.
- With ECS-Optimized Amazon Linux 2 GPU, organizations can easily deploy, manage, and scale GPU workloads using AWS best practices. This AMI integrates seamlessly with other AWS services, enabling robust monitoring and management of containerized applications. Its flexibility allows teams to adapt to varying workloads, making it an excellent choice for enterprises seeking to innovate with advanced technologies including artificial intelligence and data analytics.
Details
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Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
Deployed on AWS
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c4.4xlarge Recommended | $1.12 |
t3.micro AWS Free Tier | $0.07 |
t2.micro AWS Free Tier | $0.21 |
m5a.12xlarge | $3.36 |
r6a.16xlarge | $4.48 |
m6a.xlarge | $0.28 |
g4ad.4xlarge | $1.12 |
m7a.32xlarge | $4.48 |
g3.8xlarge | $2.24 |
x1e.8xlarge | $2.24 |
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges
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
System Updates
Additional details
Usage instructions
Follow the Setting Up with Amazon ECS if you have not done so already https://docs.aws.amazon.com/AmazonECS/latest/developerguide/get-set-up-for-amazon-ecs.html
The use the following instructions to add this AMI to the ECS cluster: https://docs.aws.amazon.com/AmazonECS/latest/developerguide/launch_container_instance.html
SSH to the instance and login as 'ec2-user' using the key specified at launch.
OS commands via SSH: SSH as user 'ec2-user' to the running instance and use sudo to run commands requiring root access.
Built from the Amazon amzn2-ami-ecs-gpu-hvm image
Resources
Support
Vendor support
Email support for this AMI is available through the following: https://supportedimages.com/support/ OR support@supportedimages.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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