Overview
This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
The Deep Learning AMI Neuron (Amazon Linux 2023) offers a powerful environment specifically designed for deep learning model development and training. Built on the latest Amazon Linux, this AMI is optimized for AWS infrastructure and includes pre-installed deep learning frameworks such as TensorFlow, PyTorch, and MXNet.
Key Features:
- AWS Neuron SDK: Leverage a set of powerful tools for building high-performance deep learning models on AWS Inferentia chips.
- Pre-installed Frameworks: Save time by using popular frameworks that come pre-configured and ready to use.
- Optimized Performance: Designed for efficiency, delivering superior training performance on deep learning tasks.
- Scalable: Easily scale your machine learning workloads using EC2 instances to meet your project demands.
Benefits:
- Streamlined Development: Focus on building and training your models without the hassle of setup and configuration.
- Cost-Effective: By utilizing the AWS Neuron-powered instances, you can significantly reduce inference costs for your AI applications.
- Integrated AWS Services: Seamlessly integrate with other AWS services like S3 for storage, SageMaker for model training, and CloudWatch for monitoring.
Use Cases:
- Model Development: Ideal for data scientists and engineers looking to develop and test deep learning models efficiently.
- Research and Prototyping: Suitable for academic research requiring heavy computational resources in a flexible environment.
- Production Deployment: Optimal for deploying scaled machine learning workloads using AWS Inferentia and EC2 instances for inference tasks.
Elevate your deep learning projects with the Deep Learning AMI Neuron, designed to harness the full capabilities of AWS for your high-performance computing needs.
Try our most popular AMIs on AWS EC2
- Ubuntu 24.04 AMI on AWS EC2
- Ubuntu 22.04 AMI on AWS EC2
- Ubuntu 20.04 AMI on AWS EC2
- Ubuntu 18.04 AMI on AWS EC2
- CentOS 9 AMI on AWS EC2
- CentOS 8 AMI on AWS EC2
- CentOS 7 AMI on AWS EC2
- Debian 12 AMI on AWS EC2
- Debian 11 AMI on AWS EC2
- Debian 10 AMI on AWS EC2
- Debian 9 AMI on AWS EC2
- Red Hat Enterprise Linux 9 (RHEL 9) AMI on AWS EC2
- Red Hat Enterprise Linux 8 (RHEL 8) AMI on AWS EC2
- Red Hat Enterprise Linux 7 (RHEL 7) AMI on AWS EC2
- Oracle Linux 9 AMI on AWS EC2
- Oracle Linux 8 AMI on AWS EC2
- Oracle Linux 7 AMI on AWS EC2
- Amazon Linux 2023 AMI on AWS EC2
- Windows 2022 Server AMI on AWS EC2
- Windows 2019 Server AMI on AWS EC2
- Docker on Ubuntu 20 AMI on AWS EC2
- Docker on CentOS 7 AMI on AWS EC2
Highlights
- The Deep Learning AMI Neuron (Amazon Linux 2023) is tailored for developers and data scientists aiming to create, train, and deploy deep learning models using AWS. It comes pre-installed with high-performance tools and libraries optimized for Amazon EC2, facilitating streamlined workflows. Its support for multiple frameworks allows users to leverage popular libraries such as TensorFlow and PyTorch for enhanced productivity in building complex AI solutions.
- With the Deep Learning AMI Neuron, users can quickly scale their applications, taking advantage of AWS's infrastructure to manage large datasets efficiently. The AMI is designed for optimal performance with AWS Inferentia and Trainium chips, which accelerate training and inference tasks. This capability is especially beneficial for industries requiring real-time insights, such as finance, healthcare, and autonomous systems.
- Security and reliability are central to the Deep Learning AMI Neuron, featuring compatibility with AWS's security tools to safeguard data and models. The AMI benefits from regular updates and patches from AWS, ensuring users have access to the latest advancements and enhancements in machine learning. This makes it an ideal choice for enterprises looking to innovate rapidly while maintaining robust security and efficiency in their deployment processes.
Details
Typical total price
$4.208/hour
Features and programs
Financing for AWS Marketplace purchases
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 (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Fees for this product are not refundable. The instance can be terminated at any time 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
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.
More on using Deep Learning AMI with Conda: https://docs.thinkwithwp.com/dlami/latest/devguide/tutorial-conda.html https://awsdocs-neuron.readthedocs-hosted.com/en/latest/dlami/index.html
Resources
Vendor 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.
Similar products
