"The LeaderWorkerSet (LWS) API for AI workloads, for example, simplifies management of large, distributed AI workloads with automated orchestration and scaling, according to Red Hat. Deployment time is reduced using image volume source for AI workloads, allowing new models to be integrated in minutes without rebuilding application containers. These features together provide functionality for Red Hat OpenShift AI or other AI platforms to help users move more easily from experimentation to production. Cluster management is enabled via Model Context Protocol (MCP) using tools such as Visual Studio Code."
"The 4.20 version of Red Hat OpenShift also helps secure the main traffic between control-plane components with initial support for post-quantum cryptography, delivering long-term cryptographic protection for critical communications, Red Hat said. The release also brings greater operational flexibility to the core platform and strengthens security capabilities for Red Hat OpenShift Platform Plus customers. This includes the availability of Red Hat Advanced Cluster Security 4.9 and enhancements to Red Hat Trusted Artifact Signer and Red Hat Trusted Profile Analyzer to help manage and analyze security data."
Red Hat OpenShift 4.20 is available with capabilities to accelerate AI workloads and enhance security. New AI features simplify deployment and management of large, distributed AI workloads using the LeaderWorkerSet (LWS) API, automated orchestration, and scaling. Image volume source reduces deployment time by enabling new models to be integrated in minutes without rebuilding application containers. Model Context Protocol (MCP) support enables cluster management through tools like Visual Studio Code. The release introduces initial support for post-quantum cryptography to secure control-plane traffic and adds operational flexibility and Platform Plus security enhancements, including Advanced Cluster Security 4.9 and improvements to Trusted Artifact Signer and Trusted Profile Analyzer.
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