Red Hat Enterprise Linux (RHEL) 10 brings a wave of innovation tailored for DevOps engineers, AI/ML teams, and infrastructure architects. As enterprise workloads shift towards cloud-native, AI-integrated, and edge-deployed environments, RHEL 10 emerges as a robust and secure foundation for modern operations.

This blog explores how RHEL 10 benefits DevOps workflows, supports AI/ML integration, and enhances existing infrastructure setups.

1. Seamless Automation with Ansible 3.0 and System Roles

Predefined Ansible system roles for infrastructure as code (IaC).
Automate:
- Network, storage, firewall, and SELinux policies.
- Day 2 operations and performance tuning.
Event-driven automation for real-time system state response.

✅ DevOps Impact: Faster provisioning and consistent, scalable system configurations.

2. Immutable Infrastructure = Predictable Deployments

Optional immutable mode with rpm-ostree.
Atomic upgrades and rollbacks.
Ideal for container hosts, CI/CD runners, and reproducible environments.

✅ DevOps Impact: Enables GitOps, reduces configuration drift, and improves system integrity.

3. Modern Container Ecosystem

Podman 5.x with improved rootless container support.
Native OCI image signing and vulnerability scanning.
Seamless integration with Kubernetes and CRI-O.

✅ DevOps Impact: Streamlines container workflows and enhances DevSecOps practices.

4. Security, Compliance & SBOM

Built-in Software Bill of Materials (SBOM) generation.
Pre-hardened with CIS, DISA STIG, and NIST 800-53 compliance profiles.
Live kernel patching through Web Console or CLI.

✅ DevOps Impact: Automate security compliance and increase visibility into software supply chains.

🤖 RHEL 10 + AI: Built for Intelligent Workloads

5. AI-Ready Infrastructure

RHEL 10 is built with AI and ML workloads in mind. It includes:

Native GPU support for NVIDIA (CUDA) and AMD (ROCm).
Pre-optimized toolchains for TensorFlow, PyTorch, ONNX, and scikit-learn.
Integration with Red Hat OpenShift AI and Kubeflow pipelines.

✅ DevOps + AI Impact:

Automate model training, deployment, and monitoring pipelines.
Deploy AI workloads at the edge with containerized inference services.
Monitor GPU usage and performance using Red Hat Insights.

Whether you're building intelligent observability platforms, real-time fraud detection, or recommendation systems—RHEL 10 ensures your infrastructure is ready for scalable and secure AI.

💡 Final Thoughts

RHEL 10 is more than an OS—it's a DevOps, AI, and automation platform. Whether you're building cloud-native apps, deploying at the edge, or managing AI workloads, it delivers the tools needed to operate securely, efficiently, and at scale.

By combining automation, AI/ML support, compliance, and container-native features, RHEL 10 empowers DevOps teams to drive innovation while reducing risk and complexity.

🚀Why DevOps Engineers Should Care About RHEL 10