Sold by: Bansir LLC
Deployed on AWS
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This item is a repackaged open source software, additional charges apply for support by Bansir for Amazon ECS Optimized Amazon Linux 2 AMI with Support by Bansir
4.5
Overview
This item is a repackaged open source software, additional charges apply for support by Bansir for Amazon ECS Optimized Amazon Linux 2 AMI with Support by Bansir EC2 Container Service makes it easy to manage containers at scale by providing a centralized service that includes programmatic access to the complete state of the containers and Amazon EC2 instances in the cluster, schedules containers in the proper location, and uses familiar Amazon EC2 features like security groups, Amazon EBS volumes, and IAM roles.
See Launching an Amazon ECS Container Instance from step 5: https://docs.aws.amazon.com/AmazonECS/latest/developerguide/launch_container_instance.html
Highlights
- Amazon ECS allows you to make containers a foundational building block for your applications by eliminating the need to run a cluster manager by providing programmatic access to the full state of your cluster.
- Flexible container scheduling - Amazon ECS includes a default scheduler that supports long-running applications, services and batch processes. You can also perform your own scheduling to have precise control of your environment.
- Amazon ECS uses familiar AWS services such as Amazon EC2 and AWS IAM.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2.0.20200820, Linux/Unix
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
c4.xlarge Recommended | $0.20 |
t3.micro | $0.05 |
t2.micro | $0.15 |
r5d.12xlarge | $2.40 |
i3.2xlarge | $0.40 |
m5.4xlarge | $0.80 |
r5.24xlarge | $3.20 |
r3.xlarge | $0.20 |
p3.8xlarge | $1.60 |
r5.8xlarge | $1.60 |
Vendor refund policy
No refunds will be issued for usage of this product.
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
2.0.2022
Additional details
Usage instructions
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.
For more informaion can you visit https://bansircloud.com
Resources
Support
Vendor support
remote support support@bansircloud.com support@bansircloud.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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Functionality
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AI generated from product descriptions
Container Orchestration and Management
Programmatic access to complete cluster state with centralized service for container management and scheduling across EC2 instances
Flexible Scheduling Capabilities
Default scheduler supporting long-running applications, services, and batch processes with option for custom scheduling logic
AWS Service Integration
Native integration with Amazon EC2, AWS IAM roles, security groups, and Amazon EBS volumes
Container Placement Optimization
Automated container placement in proper cluster locations with centralized scheduling logic
Linux-based Operating System
Amazon Linux 2 operating system optimized for container workloads
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with TorchVision, NumPy, and other PyTorch-related packages for model development and inference
GPU Acceleration Support
NVIDIA drivers with CUDA and cuDNN optimization for GPU-accelerated computing on EC2 GPU instances including P4, P3, and G5
Operating System
Amazon Linux 2 base operating system providing lightweight, secure, and stable environment with AWS service compatibility
EC2 Instance Compatibility
Optimized support for GPU-based Amazon EC2 instance types including P4, P3, and G5 for large-scale training and deployment
Pre-configured Development Environment
Pre-configured with essential deep learning libraries and developer tools for immediate use without additional setup requirements
Deep Learning Framework Support
Includes TensorFlow 2.15 and PyTorch 2.2 for model training and experimentation
GPU Acceleration
Automatic GPU support with Nvidia CUDA 12.3 and CUDNN 8 on compatible instances (g3/g5), with CPU fallback capability
Jupyter Notebook Environment
Pre-configured Jupyter notebook server running on HTTPS port 8888 with instance ID-based authentication
Python Runtime and Dependencies
Python 3.11 with included libraries including Scikit Learn, Matplotlib, and Numpy
Rapid Development Setup
Pre-installed and configured environment enabling deep learning model development without additional setup steps
Standard contract
No
Customer reviews
Srinivas P.
Open source usage
Reviewed on Mar 28, 2025
Review provided by G2
What do you like best about the product?
It is used as scheduler for loading applications
What do you dislike about the product?
Sometimes takes more time to process to load
What problems is the product solving and how is that benefiting you?
Scheduling the applications
Computer Software
Open source software - Amazon ECS and AMI - Virtual image
Reviewed on Mar 27, 2025
Review provided by G2
What do you like best about the product?
Amazon ECS is used as a scheduler for long running applications
What do you dislike about the product?
Sometimes it takes more time to process the data.
What problems is the product solving and how is that benefiting you?
It is used as a scheduler for long running applications and user friendly.
Iftekhar A.
My review about Amazon Ecs optimised Amazon Linux 2 ami
Reviewed on Dec 29, 2024
Review provided by G2
What do you like best about the product?
I am it's optimise performance,It configured docker container seaminglessly,Extends set up and configuration and decrease the work load
What do you dislike about the product?
Not pretty much dislikes but sometimes it takes long time to process the data.I have manually update the emi part and sometimes it quite complex to do the customisation
What problems is the product solving and how is that benefiting you?
Basically optimise performance,simplified in the management of container and cost and sources management and many others.
Siddhant J.
AWS ECS for Complex Applications
Reviewed on Dec 10, 2022
Review provided by G2
What do you like best about the product?
AWS allows users to select from the preconfigured ECS instances to run complex applications. It is easier for those organisations starting their cloud journey and do not have a dedicated AWS team to spin the ECS instances with proper configuration. It contains the AMI name and version for each of the configurations available.
What do you dislike about the product?
Since the configuration is predefined and ready for use for the end user, there might be situations where the requirements do not match with the configurations on which the ECS are spinned up; apart from that, everything looks good.
What problems is the product solving and how is that benefiting you?
This is a managed solution that AWS provides; hence, the solution can be easily trusted and provides the benefits of ECS instances without the dedicated Ops team. Therefore it is pretty helpful.
Gaurav G.
Virtual platform ECS
Reviewed on Nov 25, 2022
Review provided by G2
What do you like best about the product?
We can launch multiple instances with similar config, also can create virtual platform easily.
What do you dislike about the product?
Its chargable as amazon takes cost for utilization increases
What problems is the product solving and how is that benefiting you?
Ita very easy to create the instances, and no hw is required just platform is needed.