Overview
This is a repackaged software product wherein additional charges apply for support provided by Galaxys. Harness the synergy of cutting-edge technologies with the "Deep Learning OSS NVIDIA Driver AMI GPU PyTorch 2.0.1 on Amazon Linux 2." This Amazon Machine Image (AMI) provides a meticulously configured environment, blending the Open Source Software (OSS) NVIDIA driver, GPU acceleration, and the latest PyTorch 2.0.1, all on the robust foundation of Amazon Linux 2.
Key Highlights:
Open Source Software (OSS) NVIDIA Driver: Experience the unparalleled performance of NVIDIA GPUs with the Open Source Software (OSS) NVIDIA driver, ensuring optimal compatibility and efficiency for deep learning tasks. GPU acceleration takes your computations to the next level, significantly reducing training times.
Amazon Linux 2 Stability and Optimization: Built on the solid base of Amazon Linux 2, this AMI offers stability, security, and compatibility for your deep learning workflows. Take advantage of the well-established Amazon Linux ecosystem, optimized for seamless integration with AWS services.
PyTorch 2.0.1 for Cutting-Edge Deep Learning: Dive into the world of deep learning with PyTorch 2.0.1, a major update featuring enhanced performance, new features, and improved developer experience. Leverage PyTorch's dynamic computational graph for flexible and efficient model development.
Highlights
- Pre-configured Environment for Seamless Deployment: Save valuable time with a pre-configured environment that eliminates the hassle of setting up deep learning dependencies. Start your projects with confidence, knowing that this AMI is meticulously designed to meet the demands of modern deep learning practices.
- GPU Acceleration for Rapid Training: Utilize the power of GPU acceleration to expedite model training, enabling you to iterate and experiment more quickly. GPU support enhances the efficiency of deep learning workflows, making complex tasks more accessible and achievable.
- PyTorch 2.0.1 for Cutting-Edge Deep Learning: Dive into the world of deep learning with PyTorch 2.0.1, a major update featuring enhanced performance, new features, and improved developer experience. Leverage PyTorch's dynamic computational graph for flexible and efficient model development.
Details
Typical total price
$0.193/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
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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
Latest Version: 09-01-2024
Additional details
Usage instructions
For more information: https://docs.aws.amazon.com/es_es/dlami/latest/devguide/what-is-dlami.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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