Overview
This is a repackaged software product wherein additional charges apply for support provided by Galaxys. hints at the availability of an Amazon Machine Image (AMI) finely tuned for Deep Learning practitioners. This AMI is specifically configured to integrate open-source technologies (OSS), Nvidia drivers, and PyTorch version 1.13.1, all within the framework of Amazon Linux 2.
PyTorch-Powered Deep Learning: Harness the capabilities of PyTorch 1.13.1, a cutting-edge deep learning framework known for its dynamic computational graph, making it an excellent choice for research and experimentation. The AMI provides a ready-to-use environment to seamlessly develop and deploy PyTorch-based models.
Nvidia GPU Acceleration: Take advantage of Nvidia GPU acceleration facilitated by dedicated drivers, unlocking the full potential of your Graphics Processing Units (GPUs). This accelerates the training and inference processes, enabling faster and more efficient deep learning workflows.
Open-Source Integration: Embrace the versatility of open-source technologies with the incorporation of OSS in the AMI. Developers have the freedom to explore and customize the environment, ensuring flexibility in model development while benefiting from the robust combination of PyTorch, Nvidia drivers, and Amazon Linux 2. This AMI streamlines the deep learning journey, allowing practitioners to focus on innovation and model advancement.
Highlights
- PyTorch-Powered Deep Learning: Harness the capabilities of PyTorch 1.13.1, a cutting-edge deep learning framework known for its dynamic computational graph, making it an excellent choice for research and experimentation. The AMI provides a ready-to-use environment to seamlessly develop and deploy PyTorch-based models.
- Nvidia GPU Acceleration: Take advantage of Nvidia GPU acceleration facilitated by dedicated drivers, unlocking the full potential of your Graphics Processing Units (GPUs). This accelerates the training and inference processes, enabling faster and more efficient deep learning workflows.
- Open-Source Integration: Embrace the versatility of open-source technologies with the incorporation of OSS in the AMI. Developers have the freedom to explore and customize the environment, ensuring flexibility in model development while benefiting from the robust combination of PyTorch, Nvidia drivers, and Amazon Linux 2. This AMI streamlines the deep learning journey, allowing practitioners to focus on innovation and model advancement.
Details
Typical total price
$0.193/hour
Pricing
Free trial
- ...
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: 13-01-2024
Additional details
Usage instructions
For more information: https://docs.thinkwithwp.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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