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This product has charges associated with it for seller support. The Deep Learning AMI Neuron TensorFlow 2.10 (Ubuntu 20.04) provides an optimized platform for developing and training deep learning models in the cloud using TensorFlow 2.10. Designed for high performance, this AMI integrates Amazon's Neuron SDK, enabling efficient deployment on AWS Inferentia chips. With pre-installed frameworks and libraries, users can quickly set up their machine learning environments, significantly reducing time-to-market. Ideal for researchers and data scientists, this AMI supports diverse use cases including computer vision, natural language processing, and reinforcement learning. Leverage the scalability of Amazon EC2 to dynamically adjust resources as project demands evolve, ensuring cost efficiency without sacrificing performance. Whether you're a seasoned ML engineer or a novice, this AMI simplifies deep learning workflows, enhancing productivity and innovation.
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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 TensorFlow 2.10 (Ubuntu 20.04) is designed specifically for developers and data scientists looking to build, train, and deploy machine learning models using TensorFlow with Amazon EC2 Inferentia instances. This AMI provides a comprehensive environment pre-configured with TensorFlow 2.10 and the Neuron SDK, optimizing performance for inference workloads.
Key Features:
- Optimized TensorFlow 2.10: Leverage the power of TensorFlow for developing complex models with built-in support for Amazon's Inferentia hardware, ensuring you get the most efficient performance.
- Pre-installed Libraries: Enjoy a streamlined setup with a collection of essential libraries and dependencies pre-installed, allowing you to hit the ground running with your projects.
- Customizable Environment: The AMI allows for easy customization, ensuring that you can adapt the environment to suit your specific development needs.
- Supports EC2 Inferentia Instances: Designed to take full advantage of the EC2 Inf1 instances, providing lower latency and higher throughput for machine learning inference tasks.
Benefits:
- Enhanced Performance: Accelerate your model inference with the high-performance capabilities of AWS Inferentia, resulting in significant cost savings and faster response times.
- Scalable Solution: Easily scale your deep learning models from experimentation to production with the flexibility of AWS infrastructure.
- Cost-Efficiency: Reduce costs associated with training and inference by utilizing a fully-managed service tailored for deep learning workloads.
Use Cases:
- Image and Video Analysis: Implement state-of-the-art convolutional neural network models for real-time image and video classification.
- Natural Language Processing: Develop powerful NLP applications using the latest advances in deep learning to understand and generate human language.
- Reinforcement Learning: Experiment with reinforcement learning frameworks and algorithms to optimize decision-making processes across various applications.
Take advantage of the Deep Learning AMI Neuron TensorFlow 2.10 (Ubuntu 20.04) to streamline your machine learning development process and accelerate your research and business outcomes.
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Highlights
- The Deep Learning AMI Neuron TensorFlow 2.10 (Ubuntu 20.04) is designed for high-performance deep learning applications, providing a ready-to-use environment that streamlines your workflow. With optimized pre-installed libraries, including TensorFlow 2.10, you can accelerate training and inference on AWS Trainium and Inferentia chips, maximizing the efficiency of your machine learning models while reducing costs associated with training time.
- This AMI takes advantage of the powerful features of TensorFlow, supporting distributed training across multiple instances, which facilitates handling larger datasets and complex model architectures. Users can leverage built-in capabilities like mixed precision training to significantly increase throughput without sacrificing model accuracy. This functionality is particularly beneficial for organizations that require scalable and efficient model training processes.
- Security and scalability are core components of the Deep Learning AMI Neuron TensorFlow 2.10. Built on Ubuntu 20.04, it receives regular updates ensuring compliance and performance. With flexible instance types and the ability to scale resources as needed, businesses can efficiently manage costs while meeting growing computational demands, making this AMI an ideal choice for organizations looking to expand their AI capabilities.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20.04
Typical total price
This estimate is based on use of the seller's recommended configuration (inf2.8xlarge) in the US East (N. Virginia) Region. View pricing details
$4.208/hour
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 covering 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.
- ...
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
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
SSH to the instance and login as 'ubuntu' using the key specified at launch.
OS commands via SSH: SSH as user 'ubuntu' to the running instance and use sudo to run commands requiring root access.
More on using Deep Learning AMI with Conda: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-conda.html https://docs.aws.amazon.com/dlami/latest/devguide/appendix-ami-release-notes.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.
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