Sold by: Galaxys CloudÂ
Deployed on AWS
AWS Free Tier
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.
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu Linux/Unix, 20.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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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 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.
Dimension | Cost/hour |
|---|---|
c4.xlarge Recommended | $0.20 |
t3.micro AWS Free Tier | $0.05 |
m6idn.metal | $2.40 |
c6i.8xlarge | $1.60 |
m5d.2xlarge | $0.40 |
r7iz.8xlarge | $1.60 |
r6idn.12xlarge | $2.40 |
c6i.large | $0.10 |
trn1n.32xlarge | $3.20 |
r7iz.large | $0.10 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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)Â .
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
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.htmlÂ
Support
Vendor support
Remote support seller@galaxys.cloudÂ
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.
Updated weekly
AI generated from product descriptions
Machine Learning Framework Support
Provides foundational platform for deep learning with support for multiple open-source deep learning frameworks
GPU Acceleration Infrastructure
Includes NVIDIA CUDA, cuDNN, NCCL, and GPU drivers for high-performance GPU computing
Containerization Support
Integrates Docker and NVIDIA-Docker for building and running GPU-accelerated container environments
Performance Libraries
Incorporates Intel MKL-DNN for optimized machine learning and deep learning computations
AWS Specialized Tools
Includes AWS Elastic Fabric Adapter (EFA) and AWS Neuron for enhanced machine learning infrastructure
Machine Learning Framework Support
Provides foundational platform for deep learning with support for multiple machine learning frameworks and tools
GPU Acceleration Infrastructure
Includes NVIDIA CUDA, cuDNN, NCCL, and GPU drivers for high-performance GPU computing
Containerization Support
Integrates Docker and NVIDIA-Docker for building and running GPU-accelerated containers
Performance Libraries
Includes Intel MKL-DNN for optimized machine learning and deep learning performance
Advanced Networking Capabilities
Supports AWS Elastic Fabric Adapter (EFA) and AWS Neuron for enhanced computational networking
GPU Acceleration
Includes NVIDIA drivers, CUDA, and cuDNN for high-performance GPU-based deep learning computations
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with support for advanced machine learning model development
Operating System
Built on Amazon Linux 2, providing a lightweight and secure cloud-optimized environment
Machine Learning Libraries
Pre-configured with essential libraries including TorchVision, NumPy, and PyTorch-related packages
Cloud Instance Compatibility
Supports multiple GPU-based EC2 instances for scalable AI training and inference tasks
Standard contract
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