Sold by: Galaxys CloudÂ
Deployed on AWS
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Deep Learning OSS NVIDIA Driver AMI with TensorFlow 2.13 on Amazon Linux 2. Specialized machine learning AMI with complete pre-configured stack. Includes NVIDIA drivers, CUDA, and all necessary libraries for AI projects. Optimized for AWS GPU instances. Immediate deployment without manual configuration. This is a repackaged software product wherein additional charges apply for support provided by Galaxys.
Overview
Deep Learning OSS NVIDIA Driver AMI with TensorFlow 2.13 (Amazon Linux 2)
Accelerate your artificial intelligence projects with our pre-configured deep learning AMI. This image includes the complete technology stack needed to develop, train, and deploy machine learning models on AWS GPU instances.
KEY BENEFITS
- Complete pre-installed stack: TensorFlow 2.13, NVIDIA drivers, CUDA, cuDNN and all dependencies
- Save configuration hours: deploy ready-to-use in minutes
- Maximized GPU optimization for p3, p4, g4, g5 instances
- Stable and tested environment with Amazon Linux 2
- Automatic security updates
TECHNOLOGY STACK INCLUDED: Framework: TensorFlow 2.13, Keras Language: Python 3.9 with pipenv GPU Acceleration: NVIDIA Drivers, CUDA 11.x, cuDNN 8.x Scientific Libraries: NumPy, SciPy, Pandas, Matplotlib ML Tools: Scikit-learn, Jupyter Notebook, TensorBoard Development: Git, AWS CLI, Docker runtime
IDEAL USE CASES: Businesses and Startups:
- Rapid AI model prototyping
- Computer vision model training
- Natural language processing (NLP)
- Recommendation systems
Education and Research:
- University laboratories
- Academic research projects
- Machine learning courses
- Neural network architecture experimentation
Developers and Data Scientists:
- Custom model development
- Business proof of concepts
- Existing model migration to AWS
- Multi-GPU distributed training
GETTING STARTED:
- Select the AMI from AWS Marketplace
- Choose a compatible GPU instance
- Configure security group (port 22 for SSH)
- Connect via SSH and begin immediately
Verification commands: nvidia-smi python -c "import tensorflow as tf; print(tf.version)" python -c "import tensorflow as tf; print('GPUs:', tf.config.list_physical_devices('GPU'))"
COMPETITIVE ADVANTAGES: Immediate configuration vs 8+ hours manual setup Tested and validated GPU optimization Included technical support Regular security updates Complete documentation with practical examples Active user community
SUPPORT AND RESOURCES: Detailed technical documentation Configuration scripts for common cases Code examples for computer vision and NLP Performance optimization guides Email support with under 4 hour response time
IDEAL FOR: Data Scientists needing immediate ready environment Businesses looking to accelerate AI projects Research teams requiring reproducible environments Startups needing rapid prototyping Educators teaching practical machine learning
This AMI eliminates the complexity of configuring deep learning environments, allowing you to focus on what really matters: developing innovative artificial intelligence models.
Highlights
- Optimized Deep Learning Environment: Benefit from a pre-configured Amazon Machine Image (AMI) tailored for Deep Learning. The environment is optimized for efficiency and performance, ensuring seamless integration with Nvidia drivers and TensorFlow 2.13.
- Deploy in Minutes, Not Days - Complete Deep Learning Stack Pre-Configured Stop wasting time on environment setup. Our AMI comes with TensorFlow 2.13, NVIDIA drivers, CUDA, and all dependencies pre-installed and optimized. Go from launch to training your first model in under 10 minutes. Perfect for rapid prototyping and accelerating time-to-market for AI projects.
- Maximum GPU Performance - Optimized for AWS GPU Instances Achieve up to 20% better performance compared to manual configurations. Specifically tuned for p3, p4, g4, and g5 instances with validated NVIDIA driver settings and CUDA optimization. Get the most out of your GPU investment with our battle-tested environment for training and inference.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.large Recommended | $0.10 |
t3.micro | $0.05 |
g5.2xlarge | $0.40 |
m5.large | $0.10 |
c6id.2xlarge | $0.40 |
r6a.12xlarge | $2.40 |
z1d.3xlarge | $0.80 |
m5d.xlarge | $0.20 |
x1e.4xlarge | $0.80 |
g3.4xlarge | $0.80 |
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
Latest Version: 13-01-2025
Additional details
Usage instructions
For more information: https://docs.aws.amazon.com/es_es/dlami/latest/devguide/what-is-dlami.htmlÂ
Resources
Vendor resources
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.
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