Overview
This is a repackaged open source software product wherein additional charges apply for support provided by Galaxys. AWS Deep Learning Base AMI (Amazon Linux) with Support by Galaxys Cloud comes with a foundational platform of GPU drivers and acceleration libraries to implement your own custom deep learning environment.You will have your choice of CUDA versions. It allows you to develop your own environment with the latest installed NVIDIA software so you can focus on choosing which frameworks and versions to install.
Galaxys Cloud is a fast growing company self-financed profitable and distributed worldwide that maintain our focus on being leaders in packaging applications and offering them to our clients on various cloud platforms. From our roots in creating Windows and Linux installers for thousands of ISVs at Bitrock to helping users deploy over 1 million applications per month as the premier supplier of ready-to-run virtual machines and cloud images to the world's leading cloud providers.
Highlights
- Is configured with the NVIDIA CUDA 10.0 environment.
- Containerization platforms including Docker, and NVIDIA-Docker for build and run GPU accelerated Docker containers.
Details
Typical total price
$0.193/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large Recommended | $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.
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