Sold by: ISBC KOREA
Deployed on AWS
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.
Overview
ISBC AI-HPC R&D Cloud AMI - Rocky Linux 9.7
A production-ready AMI for enterprise AI, HPC, CAE, EDA, simulation, visualization, and research workloads on AWS. This AMI eliminates days of manual integration by delivering a pre-validated stack of Lustre client, NVIDIA drivers, EFA networking, and AWS ParallelCluster - all configured and tested to work together out of the box.
What Is Included
- Rocky Linux 9.7 enterprise operating system with SELinux enabled
- Lustre client pre-configured for FSx for Lustre high-performance storage
- NVIDIA GPU drivers and CUDA toolkit for GPU-accelerated workloads
- EFA (Elastic Fabric Adapter) support for low-latency inter-node communication
- AWS ParallelCluster integration for scalable cluster management
- Web-based HPC management console for cluster operations
- Pre/Post workload session management for interactive engineering and AI applications
- eVDI (3D) remote visualization session management
- SLURM job scheduler integration for batch workload control
- Docker container orchestration for containerized workloads
- GPU-accelerated MLOps with JupyterNotebook support
- License monitoring for visibility across shared R&D environments
Supported Use Cases
- AI model training and inference at scale
- CAE/CFD/FEA simulation
- EDA (Electronic Design Automation) workloads
- Scientific computing and research
- Remote 3D visualization
- Distributed batch processing
- BYOL (Bring Your Own License) integration of commercial R&D software with open-source stacks
Node Roles
This AMI functions as a head node, pre/post processing node, or compute node within your cluster architecture, providing a unified image across all cluster roles for simplified management.
Why This AMI Over Building Your Own Stack
Assembling Lustre clients, NVIDIA drivers, EFA libraries, and ParallelCluster configurations from scratch requires resolving version compatibility issues across multiple software layers. This AMI delivers a pre-tested, validated combination so your team can focus on running workloads rather than debugging driver conflicts or networking configurations. ISBC provides ongoing managed support including workload optimization, application integration, and performance tuning.
Managed Support Scope
Additional charges apply for ISBC-managed AMI support services including:
- Deployment assistance and initial cluster configuration
- Workload optimization and performance tuning
- Application integration (commercial and open-source R&D tools)
- Enterprise operational support and troubleshooting
- Job solving and cluster management guidance
Responsibilities
Customers remain responsible for applicable AWS infrastructure costs and third-party software licenses. ISBC manages the AMI software stack, updates, and technical support for the integrated components.
Getting Started
To begin evaluating this AMI, launch it on a supported instance and contact ISBC for deployment consultation and cluster architecture planning through the support channels provided.
Highlights
- Pre-integrated AI-HPC stack ready to deploy: Lustre client, NVIDIA GPU drivers, CUDA, EFA networking, and AWS ParallelCluster are pre-configured and validated together on Rocky Linux 9.7. This eliminates the manual integration work of resolving version conflicts across storage, GPU, and networking layers - allowing your team to run production workloads instead of debugging driver compatibility issues across multiple software components.
- Built-in workload management for AI and engineering teams: Includes web-based HPC management, SLURM job scheduling, eVDI (3D) remote visualization sessions, Docker container orchestration, and GPU-accelerated MLOps with JupyterNotebook. A single AMI serves as head node, pre/post processing node, or compute node, providing unified cluster management with license monitoring for visibility across shared R&D environments.
- Fully managed support with BYOL integration expertise: ISBC provides end-to-end technical support including deployment assistance, workload optimization, performance tuning, and application integration. Enables efficient Bring Your Own License (BYOL) integration of commercial R&D software (CAE, CFD, FEA, EDA tools) with the open-source stack, plus ongoing migration and maintenance support for enterprise AI-HPC environments.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux Rocky9.7
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c8a.xlarge Recommended | $2.40 |
c8id.16xlarge | $2.40 |
c8a.12xlarge | $2.40 |
p5en.48xlarge | $2.40 |
c8in.8xlarge | $2.40 |
c8a.24xlarge | $2.40 |
c8ib.48xlarge | $2.40 |
g6.16xlarge | $2.40 |
c8ib.12xlarge | $2.40 |
c8id.48xlarge | $2.40 |
Dimensions summary
You pay by the hour for the AWS instance type you run this AMI on. Billing scales with the compute size you choose, so larger instances cost more per hour. Compute-optimized families (c7i, c8a, c8i, c8id, c8ib, c8in) suit CPU-heavy simulation work. HPC-tuned hpc8a instances target tightly coupled parallel jobs. GPU families (g6, g6e, g7e) handle graphics and AI workloads, while p-series instances (p4d, p5, p5e, p5en, p6-b200, p6-b300) target large-scale AI and machine learning. Metal options give direct hardware access. You are charged only for the hours each instance runs.
Top-of-mind questions for buyers
You pay for the software running on the AWS instance for each hour it runs. The rate reflects the compute size and family you pick. Larger instances carry higher hourly rates. You choose the instance type at launch, and billing follows the hours that instance stays active.
Hourly software charges apply only while an instance runs. Stopping an instance halts these charges. Note that stopped instances may still incur separate AWS storage fees for attached volumes, but the software meter counts running hours only.
Each family bills the same way, per hour, but suits different work. Compute-optimized families fit CPU-heavy simulation. GPU families handle graphics and AI tasks. HPC-tuned instances target parallel jobs. The p-series targets large-scale AI and machine learning. Match the family to your workload, then the size to your capacity needs.
www.isbc.co.kr
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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
AWS ParallelCluster v3.15, AMI for rocky9, kernel-5.14.0-611.5.1.el9_7.x86_64, lustre-2.15.6-1.fsx31.el9.x86_64, efa-3.0.0-1.el9.x86_64, dcv-2025.0.20103-1.el9.x86_64, nvidia-580.105.08, cuda-13.0.20251003
Additional details
Usage instructions
- Security Group : Allow TCP 22
- 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.
- Email support for this AMI is available through the following: https://www.isbc.co.kr/en/?page_id=1086 OR consulting@isbc.co.kr
Support
Vendor support
ISBC Support Channels
Email: consulting@isbc.co.kr Remote Support Portal: https://www.isbc.co.kr/en/?page_id=1086
Support Scope
ISBC provides managed support for the AI-HPC R&D Cloud AMI including:
- Technical troubleshooting for the integrated software stack (Lustre client, NVIDIA drivers, EFA, ParallelCluster)
- Deployment assistance and initial cluster configuration guidance
- Workload optimization and performance tuning
- Application integration support for commercial and open-source R&D tools
- eVDI session management and SLURM job scheduling support
- Docker container orchestration and GPU-accelerated MLOps guidance
How to Get Help
For technical issues, deployment questions, or managed service inquiries, contact ISBC via email or the remote support portal listed above. Please include your AWS account ID, instance details, and a description of the issue for faster resolution.
For enterprise AI-HPC R&D Cloud consultation, architecture planning, or pilot deployment discussions, reach out through the same channels to schedule a consultation with the ISBC engineering team.
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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