Sold by: Red Hat
Deployed on AWS
Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models (LLMs) for enterprise applications.
4.2
Overview
Red Hat Enterprise Linux AI is a foundation model platform for running LLMs in individual server environments. The solution includes the Red Hat AI Inference Server, which provides an immutable, purpose-built appliance optimized for inference. Packaging the OS and application together, Red Hat Enterprise Linux AI facilitates Day 1 operations to optimize model inference across the hybrid cloud. Its vLLM runtime maximizes throughput and minimizes latency. This is complemented by LLM compressor and Speculators for further model optimization and a pre-optimized model repository, ensuring fast and cost-effective deployments.
Highlights
- The Granite family of LLMs.
- A bootable image, including AI libraries such as PyTorch, and optimized inference for NVIDIA and enterprise-grade technical support.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 3.4.0
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 |
|---|---|
p5.48xlarge Recommended | $0.40 |
p4d.24xlarge | $0.40 |
g6e.48xlarge | $0.40 |
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
- Launch the product via 1-Click or the marketplace listing.
- Access your instance using ssh
- Open an SSH client
- Locate your private key file that was used to launch this instance. This file was downloaded when you created the key pair in AWS.
- Navigate to the directory where your .pem key file is located by using the command: cd path/to/your-key-file-directory.
- Set the permissions of your .pem file to ensure it is not publicly viewable by using the command: chmod 400 your-key-file.pem.
- Use the default username 'cloud-user' and the ssh key registered with AWS. Note that 'root' is disabled by default. Replace your-key-file.pem with your key file name and your-instance-public-dns with the public DNS or IP address of your instance.
Additional details
Usage instructions
Support
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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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Customer reviews
Vipul D.
A trusted platform for bringing AI to production
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
What I like best is how RHEL AI streamlines getting foundation models into production. The integrated Granite models combined with InstructLab make it straightforward to fine-tune and customize models without needing a huge data science team. It runs on the enterprise Linux platform we already trust, so the security, stability, and support are consistent with the rest of our infrastructure. The bootable container image approach makes deployment across hybrid cloud environments predictable and repeatable, which has saved us a lot of setup time.
What do you dislike about the product?
Honestly there isn't a lot to dislike, but a few things could be smoother. The initial learning curve around InstructLab and the taxonomy-based approach to fine-tuning took our team some time to get comfortable with, so more beginner-friendly documentation and examples would help. Hardware requirements for training can also be significant, so being clearer up front about GPU sizing expectations would make planning easier. Pricing can feel steep for smaller teams just getting started. None of these have been dealbreakers for us.
What problems is the product solving and how is that benefiting you?
We struggled to move generative AI projects from proof-of-concept into real production because we lacked a consistent, supported platform and worried about data privacy with hosted model APIs. With RHEL AI we can fine-tune open source Granite models on our own infrastructure using our proprietary data, which keeps sensitive information in-house and helps us meet compliance requirements. Standardizing on a supported Red Hat platform has reduced the time our team spends on environment setup and troubleshooting, and gives us a clear path to scale into OpenShift AI as our needs grow. Overall it has shortened our time from idea to deployed model and made AI adoption feel far less risky.
Vipin K.
Streamlined, Reliable AI Development—But Docs Need More Practical Examples
Reviewed on Jul 27, 2026
Review provided by G2
What do you like best about the product?
The best part is how it simplifies AI development while maintaining the reliability expected from Red Hat. It helps streamline workflows and provides a consistent environment for bulding and testing AI application.
What do you dislike about the product?
The documentation is detailed, but finding the right information can sometimes take time. More practical examples and tutorials would help users get started faster.
What problems is the product solving and how is that benefiting you?
The platform solves the challenges of maintaining a reliable AI development environment. As a result, I can build, test, and deploy AI workloads more confidently and with fewer compatibility problems.
jitin k.
Reliable and Secure RHEL Foundation with Straightforward AI Framework Integration
Reviewed on Jul 27, 2026
Review provided by G2
What do you like best about the product?
The platform combines the reliability of Red Hat Enterprise Linux with practical AI capabilites. I appreciate its consistent performance,strong security features and straightforward integration with AI framewroks making it easier to build and manage AI projects.
What do you dislike about the product?
I haven't run into any major issues,but the learning curves can be a bit steep for first time users. Better visuals managements tools and more practical deployment example would make it easier to get started.
What problems is the product solving and how is that benefiting you?
It provides an enterprise ready platform for AI workloads, making deployment and environment managemnet much more consistent. This has improved my workflow by reducing setup time , minimizing dependency conflicts and provinding a reliable foundation for AI projects.
om t.
Reliable and Secure for AI Workloads, but Setup and Framework Support Need Work
Reviewed on Jul 25, 2026
Review provided by G2
What do you like best about the product?
What i like most about Red Hat Enterprise Linux AI is how it combines enterprise reliability with AI development.The platform feels stable,secure and makes it easier to build and manage AI workloads efficiently.
What do you dislike about the product?
I haven't encountered any major issues,but I'd like to see broader support for AI frameworks and a more streamlined setup process for new users.
What problems is the product solving and how is that benefiting you?
Red Hat Enterprise Linux AI provides a stable and secure environment for developing and deploying AI applications.Thhis reduces setup time,improves reliability, and lets me focus more on building modles insted of managing infrastructure.
Ariel R.
Helps Us Analyze Service and Network Issues with Ease
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
It helps us analyze issues in services and networks.
What do you dislike about the product?
Up to this moment, I don’t have any dislikes.
What problems is the product solving and how is that benefiting you?
It reduces the time needed to analyze issues in the infrastructure.