Sold by: Red Hat Limited
Deployed on AWS
Red Hat AI Enterprise is an integrated AI platform for deploying and managing efficient and cost-effective AI models, agents and AI-powered applications across hybrid cloud environments. It unifies AI model and application lifecycles to increase efficiency, accelerate delivery, and mitigate risk by providing a ready-to-use development environment with enterprise-grade capabilities. This platform is a tested, supported AI stack, powered by Red Hat OpenShift, that enhances interoperability and ensures business continuity. It includes core capabilities like model tuning, high-performance inference, agentic AI workflow management - with the flexibility to support any model, use any hardware, and deploy anywhere while meeting data location requirements.
4.4
Overview
Red Hat AI Enterprise is an integrated AI platform that provides the foundation for building, developing, and deploying AI-powered applications across the hybrid cloud. By unifying the model and AI application lifecycles, it ensures consistent security, governance, and management to minimize operational complexity and risk. Powered by Red Hat OpenShift, the platform unifies the entire lifecycle - from development and tuning to high-performance inference, onto a centralized infrastructure. It addresses modern AI use cases, including predictive, generative, and agentic AI, by providing tools like optimized vLLM runtimes for high-performance inference and the Llama Stack for agentic workflows.
Key benefits include:
- Accelerated Time-to-Value:: Application life-cycle management and policy management across multiple Kubernetes clusters.
- Increased Operational Efficiency: Streamlines workflows and uses intelligent resource allocation to maximize the value of infrastructure like GPUs.
- Mitigated Risk: Provides a tested and supported AI stack that helps organizations meet data residency, sovereignty, and regulatory requirements.
Red Hat AI Enterprise transforms AI from a disjointed effort into a scalable, repeatable "factory" process.
Highlights
- AI lifecycle management: Manage the end-to-end process - from training and fine-tuning to serving and monitoring - for predictive, generative, and agentic AI on a single platform.
- High-performance inference at scale: The platform uses optimized runtimes like vLLM and the llm-d framework to deliver high-throughput, low-latency model serving. It also includes resource optimization capabilities to ensure efficient GPU utilization for both model training and inference.
- Unified enterprise platform experience: build and scale modern, AI applications on a single, centralized platform Kubernetes infrastructure powered by Red Hat OpenShift at its core through a consistent experience, anywhere, using familiar tools and frameworks. The platform includes a layered approach to security throughout the entire AI lifecycle.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 9.4
Deployed on AWS
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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 |
|---|---|
p5en.48xlarge Recommended | $5.94 |
p6-b200.48xlarge | $5.94 |
p5.48xlarge | $5.94 |
p4d.24xlarge | $5.94 |
Dimensions summary
You pay by the hour for the GPU instance type you run. Each of the four dimensions maps to a different accelerated compute instance: p5en.48xlarge, p6-b200.48xlarge, p5.48xlarge, and p4d.24xlarge. Pricing scales with the hardware you choose, so you select the instance that fits your workload and hourly rate. Billing is usage-based, charged only for the hours each instance runs. This aligns with the vendor's per-accelerator pricing approach, letting you match compute capacity to model serving and inference demand without a fixed commitment.
Top-of-mind questions for buyers
Each dimension maps to one accelerated compute instance built for GPU-based model serving. You run the full instance and pay for its running hours. The four options differ by GPU hardware and capacity, so you pick the instance whose accelerators match your inference or model-serving workload.
Charges apply per instance-hour while the instance runs. Stopped instances do not accrue software charges. You pay only for the hours each instance is active, with no fixed commitment, so you can shut down instances when workloads pause to control cost.
Each instance is metered independently by its own hourly rate. Running two different instance types bills both simultaneously on the same invoice. Total cost is the sum of each instance's hours times its rate. The instance with more accelerator capacity and longer runtime drives the larger share.
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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.
Additional details
Usage instructions
IMPORTANT: This marketplace listing is not meant for direct consumption by deploying a single virtual machine. Please follow the instructions in the official Red Hat AI Enterprise installation documentation. DO NOT create a Virtual Machine from this offering directly. Red Hat AI Enterprise (RHAIE) is supported only as an integrated, standalone AI platform. The RHAIE marketplace image is designed to automatically enable integrated pay-per-use or subscription billing for your full cluster environment, which bundles Red Hat OpenShift, Red Hat OpenShift AI, and full hardware accelerator entitlements. There are two general ways this marketplace image is utilized during a Red Hat AI Enterprise deployment:
Installer-provisioned infrastructure: If you install your cluster on infrastructure that the installation program provisions, you must specify this marketplace image details (publisher, offer, and SKU) directly inside your install-config.yaml configuration file before initiating the deployment. User-provisioned or existing infrastructure: If you manage your own infrastructure or are adding dedicated GPU compute nodes to an existing cluster, you must update your OpenShift MachineSet configurations to target this specific marketplace image to ensure proper workload execution and billing synchronization. For more information and detailed step-by-step cluster deployment workflows, please see the official Red Hat AI Enterprise installation guide.
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