AI Usage at a Glance
May 1, 2024
ProductivityPractice documented: Red Hat offers Ansible Lightspeed, a generative AI service embedded in the Ansible Automation Platform that takes natural language prompts from developers and generates YAML automation code — such as Ansible Playbooks and Roles — directly inside the Visual Studio Code editor.
Practice DocumentedView practice →May 7, 2024
OtherPractice documented: Red Hat offers Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI, a suite of platforms that allow enterprise customers to fine-tune, serve, and manage open-source large language models — including IBM's Granite family — on their own hardware and cloud environments.
Practice DocumentedView practice →Sep 1, 2024
ProductivityPractice documented: Red Hat offers a family of generative AI assistants called Red Hat Lightspeed — integrated into RHEL 10, Red Hat OpenShift, and Red Hat Developer Hub — that answer natural language questions, help troubleshoot system issues, and recommend software packages for IT administrators and developers.
Practice DocumentedView practice →Jan 1, 2025
ProductivityNew evidence: Red Hat Automation coding assistant
Evidence AddedView practice →Mar 26, 2025
ModerationPractice documented: Red Hat offers AI Guardrails within Red Hat OpenShift AI — available as a technology preview since March 2025 — that monitor and filter both user inputs and AI model outputs to detect and block hateful, abusive, or policy-violating content in enterprise AI deployments.
Practice DocumentedView practice →May 1, 2025
ProductivityNew evidence: Gen AI tools in Red Hat Enterprise Linux 10
Evidence AddedView practice →May 20, 2025
Data AnalysisPractice documented: Red Hat uses predictive analytics in Red Hat Lightspeed (formerly Red Hat Insights), a platform included with all Red Hat subscriptions, to continuously analyze enterprise IT infrastructure — covering RHEL, OpenShift, and Ansible Automation Platform — and proactively flag security vulnerabilities, performance risks, and potential outages before they affect operations.
Practice DocumentedView practice →May 30, 2025
ProductivityNew evidence: Red Hat Goes All in on AI-Powered Lightspeed System Admin Tools
Evidence AddedView practice →Oct 23, 2025
ProductivityNew evidence: Red Hat Launches Red Hat Developer Lightspeed for AI-Powered Developer Productivity
Evidence AddedView practice →Feb 24, 2026
OtherNew evidence: Red Hat Launches Red Hat AI Enterprise to Deliver a Unified AI Platform that Spans from Metal to Agents
Evidence AddedView practice →May 20, 2026
ModerationNew evidence: Red Hat Advances Agentic AI Model-as-a-Service with Enterprise Platform
Evidence AddedView practice →Red Hat uses predictive analytics in Red Hat Lightspeed (formerly Red Hat Insights), a platform included with all Red Hat subscriptions, to continuously analyze enterprise IT infrastructure — covering RHEL, OpenShift, and Ansible Automation Platform — and proactively flag security vulnerabilities, performance risks, and potential outages before they affect operations.
Red Hat Lightspeed (the rebranded Red Hat Insights) ingests telemetry data from customers' hybrid cloud systems and applies predictive analytics and pattern recognition to identify risks, recommend remediation steps, and suggest relevant software packages. The system generates Ansible Playbooks to automate remediation of identified issues. In 2025, Red Hat introduced AI-powered package recommendations and optimized planning tools within Lightspeed, helping IT teams understand RHEL roadmap alignment and proactively build system images. The service is delivered as software-as-a-service via the Red Hat Hybrid Cloud Console and is included in nearly all Red Hat subscriptions.
Red Hat offers Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI, a suite of platforms that allow enterprise customers to fine-tune, serve, and manage open-source large language models — including IBM's Granite family — on their own hardware and cloud environments.
RHEL AI, which reached general availability in September 2024, packages IBM's open-source Granite LLMs and the InstructLab model alignment tools into a bootable RHEL image, allowing organizations with limited data science expertise to fine-tune AI models on their own proprietary data. Red Hat OpenShift AI is a broader MLOps platform for managing the full lifecycle of both predictive and generative AI models at scale across hybrid cloud environments, including training, serving, monitoring, and model registry. Red Hat AI 3 (announced late 2025) introduced distributed inference with LLM-D and a foundation for agentic AI. These products are sold as enterprise subscriptions and are available on major cloud providers including AWS, Google Cloud, and Azure.
Red Hat offers Ansible Lightspeed, a generative AI service embedded in the Ansible Automation Platform that takes natural language prompts from developers and generates YAML automation code — such as Ansible Playbooks and Roles — directly inside the Visual Studio Code editor.
The automation coding assistant (formerly Red Hat Ansible Lightspeed) receives plain-English task descriptions as input and outputs trusted YAML code for single tasks, multiple tasks, or entire Ansible Playbooks. It connects to IBM watsonx Code Assistant, Google Gemini (Vertex), or Red Hat AI as the underlying large language model. The companion intelligent assistant uses a retrieval-augmented generation (RAG) pipeline over Red Hat documentation to answer administrator questions and troubleshoot automation jobs directly within the Ansible Automation Platform UI. The coding assistant is accessed via the Ansible VS Code extension and requires an Ansible Automation Platform subscription.
Red Hat offers Ansible Lightspeed, a generative AI service embedded in the Ansible Automation Platform that takes natural language prompts from developers and generates YAML automation code — such as Ansible Playbooks and Roles — directly inside the Visual Studio Code editor.
Red Hat offers a family of generative AI assistants called Red Hat Lightspeed — integrated into RHEL 10, Red Hat OpenShift, and Red Hat Developer Hub — that answer natural language questions, help troubleshoot system issues, and recommend software packages for IT administrators and developers.
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