Sold by: ISBC KOREA
Deployed on AWS
This product has charges associated with it for seller support and maintenance. ISBC full managed support AMI based on Rocky8. This image will works as head node, pre/post node and compute node for AI and HPC workload optimized AMI.
Overview
This is a repackaged open source software product wherein additional charges apply for AI HPC R&D Cloud by ISBC fully managed AMI Support. Includes web-based HPC management , Pre/Post workload Session Management and License monitoring feature. This is a production-ready AMI designed for enterprise AI and HPC workloads.
Highlights
- Our expertise encompasses end-to-end technical support, integration, migration and maintenance for AI-HPC workloads.
- We enable efficient BYOL integration of commercial R&D software with open-source stacks, while providing full management of job solving, performance optimization.
- Our support include eVDI(3D) session management, SLURM job control, Docker container orchestration, and GPU-accelerated MLOps with JupyterNotebook.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 8.10
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
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.
Dimension | Cost/hour |
|---|---|
c7i.xlarge Recommended | $2.40 |
hpc7a.48xlarge | $2.40 |
g4dn.metal | $2.40 |
g5.2xlarge | $2.40 |
c7i.metal-24xl | $2.40 |
c7i.metal-48xl | $2.40 |
g5.4xlarge | $2.40 |
g6.2xlarge | $2.40 |
c7a.medium | $2.40 |
g6.4xlarge | $2.40 |
Dimensions summary
You pay by the hour for Rocky Enterprise Linux 8.10 running on the AWS instance type you select. Each dimension maps to one specific instance, so your rate depends on the hardware you choose. Compute-focused instances (c7a, c7i, c7i-flex, c8a, c8i families) suit general and CPU-heavy work. GPU instances (g4dn, g5, g6, g6e families) support AI and graphics workloads. HPC instances (hpc6id, hpc7a, hpc8a families) target large simulation jobs. Larger sizes within each family carry higher hourly rates. You run only what you need and stop charges by stopping the instance.
Top-of-mind questions for buyers
You get Rocky Enterprise Linux 8.10 (64-bit) running on the specific AWS instance you selected. The hourly rate covers the software license for that running instance. Each dimension name matches one AWS instance type, so the hardware and its capacity determine both performance and your rate.
The hourly software charge meters running time only. When you stop an instance, the hourly software charge stops. You pay only for the hours the instance runs. Note that underlying AWS storage fees for a stopped instance may still apply separately.
Compute families (c7a, c7i, c7i-flex, c8a, c8i) fit general and CPU-heavy work. GPU families (g4dn, g5, g6, g6e) support AI and graphics tasks. HPC families (hpc6id, hpc7a, hpc8a) target large simulation jobs. Your rate follows the instance type and size you pick.
www.isbc.co.kr
Helpful?
Vendor refund policy
All fees are non-refundable.
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) .
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
Updated Ver AWS ParallelCluster=3.15 AMI for rocky8, kernel-4.18.0-553.117.1.el8_10.x86_64, lustre-2.12.8-1.fsx14.el8.x86_64, efa-3.0.0-1.el8.x86_64, dcv-2025.0.20103-1.el8.x86_64
Additional details
Usage instructions
SSH to the instance and login as 'rocky' using the key specified at launch. OS commands via SSH: SSH as user 'rocky' to the running instance and use sudo to run commands requiring root access.
Support
Vendor support
Email support for this AMI is available through the following: https://www.isbc.co.kr/en/?page_id=1086 OR consulting@isbc.co.kr
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.
Similar products
Production-ready RHEL 8.10 AMI with managed AI-HPC support. Deploy as head, pre/post, or compute node with web-based cluster management by ISBC.
ISBC AI-HPC R&D Cloud AMI on Rocky Linux 9.7 with pre-integrated Lustre, NVIDIA, EFA, and ParallelCluster stacks. Deploy production-ready AI and HPC clusters with fully managed support.
This product has charges associated with it for seller support and maintenance. ISBC fully managed support AMI based on RHEL9. This image will works as head node, pre/post node and compute node for AI and HPC workload optimized AMI.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.