Overview
This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys, 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
- 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
$0.399/hour
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $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 |
t3.medium | $0.10 | $0.042 | $0.142 |
t3.large | $0.10 | $0.083 | $0.183 |
t3.xlarge | $0.20 | $0.166 | $0.366 |
t3.2xlarge | $0.40 | $0.333 | $0.733 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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
v2023
Additional details
Usage instructions
1.Start the instance 2.Use "ubuntu" as the username to SSH into the instance. 4.Remember to save the generated keypair when raising the instance for the first time 5.- to connect via ssh you can do it with the following command using putty or command terminal: ssh -i /path/your-key-pair-name.pem ubuntu@instance-public-dns-name
Our software does not store confidential customer information. Our software does not encrypt the data present in it. Our software does not use rotating programmatic system credentials or cryptographic keys.
For more information: Getting-started guide for AWS Deep Learning AMI: http://docs.aws.amazon.com/dlami/latest/devguide/gs.html
Support
Vendor support
Remote support seller@galaxys.cloud
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.