Sold by: Hanwei Software Technology
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. This is open source software, which is repackaged by Hanwei. The additional cost is applicable to the extended support of 24-hour response time.This AMI contains CentOS Stream 9 Latest (with PyTorch) and includes support.
Overview
This product has charges associated with it for seller support. This is open source software, which is repackaged by Hanwei. The additional cost is applicable to the extended support of 24-hour response time.
This AMI contains CentOS Stream 9 Latest (with pytorch) and includes support.
Perform a minimal installation of CentOS Stream 9 and update it to the latest version.
OS version: CentOS Stream 9.
PyTorch version: PyTorch-2.4.
CentOS Stream 9 is a Linux enterprise-class operating system that is functionally compatible with its upstream source, Red Hat Enterprise Linux (RHEL).
PyTorch is an open-source machine learning library based on the Torch library. It is widely used for applications such as computer vision and natural language processing. Originally developed by Meta AI. PyTorch is now part of the Linux Foundation umbrella. Some key features of PyTorch include ease of use, providing a flexible and intuitive interface, making it easy to build and train deep learning models; dynamic computation graph, which allows for more flexibility during model development; and a strong community and ecosystem, with a rich ecosystem of tools and libraries that support various machine learning tasks, and it is well-supported on major cloud platforms.
Highlights
- CentOS Stream 9 Minimal installation and latest
- Professional technical support and fast response
- Optimize the software on CentOS Stream 9 Latest (with PyTorch) and includes support
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs stream 9
Deployed on AWS
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Pricing
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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 |
|---|---|
t3.small Recommended | $0.04 |
t2.micro | $0.04 |
t3.micro | $0.04 |
r7a.12xlarge | $0.69 |
c7a.medium | $0.04 |
d3.2xlarge | $0.19 |
x2iedn.16xlarge | $0.99 |
r6in.8xlarge | $0.39 |
m5d.12xlarge | $0.69 |
c7a.4xlarge | $0.29 |
Dimensions summary
You pay by the hour for this PyTorch (CPU) software running on CentOS Stream 9, billed only while an instance runs. Each dimension maps to a specific AWS EC2 instance type, so the software rate follows the hardware you pick. Options span general-purpose, compute-optimized, memory-optimized, storage-optimized, and accelerated families in sizes from nano and micro up to metal and 48xlarge. Larger instances offer more CPU, memory, and storage, which raises the hourly cost. There are no tiers or upfront commitments. Vendor support is included, and you choose the instance size matching your workload.
Top-of-mind questions for buyers
The rate covers the PyTorch (CPU) software license plus vendor support from Hanwei, metered per running hour. Each dimension maps to one AWS EC2 instance type. AWS charges the underlying compute separately. The software charge follows the instance size you launch.
The software charge meters only running hours. A stopped or terminated instance accrues no hourly software fee. Underlying AWS storage costs for a stopped instance may still apply, but those are billed by AWS, not through this software license.
Each dimension is tied to a specific EC2 instance type. Larger instances add CPU, memory, and storage, so their software rate is higher. Options span general-purpose, compute-optimized, memory-optimized, storage-optimized, and accelerated families. You match the size to your workload and pay only for that instance's running hours.
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no refunds
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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
Updated to the latest
Additional details
Usage instructions
How To Use
1.Connection Methods
ssh as user 'ec2-user' to the running instance and use sudo to run commands requiring root access
Use 'sudo su - root' to switch to root.
2.Check PyTorch version
Use the command : python3 -c "import torch; print(torch.version)" to check the PyTorch version.
Please allow SSH port 22 to limited IPs for access.
Resources
Vendor resources
Support
Vendor support
If you encounter problems in the process of using the system, please feel free to contact us by email : prosupport@hanweie.com , thank you!
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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