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).
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.
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.
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 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 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
Typical total price
$1.916/hour
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.07 | $0.02 | $0.09 |
t2.nano | $0.07 | $0.006 | $0.076 |
t2.micro AWS Free Tier | $0.21 | $0.012 | $0.222 |
t2.small | $0.07 | $0.023 | $0.093 |
t2.medium | $0.14 | $0.046 | $0.186 |
t2.large | $0.14 | $0.093 | $0.233 |
t2.xlarge | $0.28 | $0.186 | $0.466 |
t2.2xlarge | $0.56 | $0.371 | $0.931 |
t3.nano | $0.07 | $0.005 | $0.075 |
t3.micro AWS Free Tier | $0.07 | $0.01 | $0.08 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges
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
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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