Overview
This product has charges associated with it for seller support, includes AWS Deep Learning Base AMI Ubuntu 18.04 32.0 and includes support.
AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning Base AMI provides a foundation for installing your custom configurations and forked repositories to test out new framework features.
Below are the core components of AWS Deep Learning Base AMI:
- AWS Deep Learning Tools including AWS Elastic Fabric Adapter(EFA) and AWS Neuron.
- NVIDIA Deep Learning Softwares Including NVIDIA GPU Driver, CUDA Toolkit, cuDNN, NCCL, and Fabric Manager.
- Containerization platforms including Docker, and NVIDIA-Docker for build and run GPU accelerated Docker containers.
- Intel Architecture performance library Intel MKL-DNN.
- A collection of popular tools such as awscli, boto3, numpy, scikit-learn, opencv, pandas, matplotlib, graphviz,
Highlights
- Based on Ubuntu Server 18.04 LTS
- AWS Deep Learning Base AMI ships multiple CUDA Toolkits and can be easily switched. https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-base.html
Details
Typical total price
$0.386/hour
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.05 | $0.006 | $0.056 |
t2.micro AWS Free Tier | $0.05 | $0.012 | $0.062 |
t2.small | $0.05 | $0.023 | $0.073 |
t2.medium | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge Recommended | $0.20 | $0.186 | $0.386 |
t2.2xlarge | $0.40 | $0.371 | $0.771 |
t3.nano | $0.05 | $0.005 | $0.055 |
t3.micro AWS Free Tier | $0.05 | $0.01 | $0.06 |
t3.small | $0.05 | $0.021 | $0.071 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No refunds will be issued for usage of this product.
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
42.1-v2022
Additional details
Usage instructions
Usage Instructions: For Ubuntu Cloud Guest it is suggested to manually configure your Security Group/Firewall settings. The 1-Click Security Group opens only port 22 so that you can access your instance via SSH using login 'ubuntu'. If you chose the 1-Click Security Group, you may change it later to enable applications using the AWS Console or API.
For more information can you visit https://bansircloud.com or Contactus support@bansircloud.com Usage Instructions: Getting-started guide for AWS Deep Learning AMI: http://docs.aws.amazon.com/dlami/latest/devguide/gs.html
Resources
Vendor 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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