Overview
This is a repackaged open source software product wherein additional charges apply associated includes additional support provided by Fifty Clouds. By choosing this product, you gain not only the robustness of the original software but also access to specialized technical assistance and updates, ensuring optimal performance and seamless integration in your AWS environment. This Amazon Machine Image (AMI) is designed for deep learning workloads, providing an optimized environment for machine learning practitioners and researchers. The AMI is built on Amazon Linux 2, featuring PyTorch 2.0.1, one of the most popular open-source deep learning frameworks. It includes NVIDIA drivers specifically tuned for GPU acceleration, making it ideal for high-performance AI training and inference tasks.
Key Features:
Pre-installed PyTorch 2.0.1: Leverage the latest advancements in PyTorch for deep learning model development. NVIDIA GPU Support: Fully compatible with NVIDIA GPUs, utilizing CUDA and cuDNN for optimized performance. Optimized for Amazon EC2 GPU Instances: Supports a range of GPU-based EC2 instances (e.g., P4, P3, G5) for efficient large-scale training and deployment. Amazon Linux 2: A lightweight, secure, and stable OS tailored for cloud environments, ensuring scalability and compatibility with AWS services. Developer-friendly: Pre-configured with essential deep learning libraries, including TorchVision, NumPy, and other PyTorch-related packages.
Highlights
- Optimized for GPU Performance: Includes NVIDIA drivers, CUDA, and cuDNN for accelerated deep learning workloads on AWS EC2 GPU instances like P4, P3, and G5.
- Pre-configured with PyTorch 2.0.1: Ready-to-use environment featuring the latest PyTorch framework and essential libraries, ideal for training and inference of advanced deep learning models.
- Amazon Linux 2 Base: Lightweight, secure, and scalable operating system tailored for the cloud, ensuring high compatibility with AWS services and seamless scaling of AI projects.
Details
Typical total price
$0.193/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.05 | $0.02 | $0.07 |
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 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 |
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, Fifty Clouds 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
ver 23-10-2024
Additional details
Usage instructions
To connect to an ec2-user instance on AWS using SSH with the username 'ec2-user', you can follow these three steps:
Open your Terminal or SSH Client:
On your local system, open the terminal or SSH client of your choice. You can use the terminal on your operating system if you're on Linux or macOS, or an SSH client like PuTTY if you're on Windows.
In the terminal, use the SSH command followed by the public IP address of your instance and the username 'ec2-user'. For example:
ssh -i /path/to/your/private-key.pem ec2-user@your-public-ip-address
Replace "your-public-ip-address" with the public IP address of your instance.
For more information: Connect to your instance, see the AWS EC2 documentation: http://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html
Support
Vendor support
Remote support support@fifty-clouds.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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