Red Hat compares vLLM's PagedAttention and SGLang's RadixAttention for serving open weight models, with independent benchmarks showing similar throughput and latency across workload shapes.
Red Hat AI Inference 3.5 brings the MaaS governance layer to Azure Kubernetes Service, adding API key validation, rate limiting, and subscription control to models served through vLLM and KServe on non-OpenShift clusters.
Red Hat's PeopleMesh quickstart shows how to extract structured data from resumes using Docling and Granite4:3B, then match people across skills and interests with natural-language queries on OpenShift AI.
Red Hat engineers describe how they connected three MCP servers to RHEL, Satellite, and Lightspeed in a Summit lab, including client configuration, authentication, and model selection lessons.
Red Hat's migration toolkit for applications 8.3 is generally available, introducing multi-agent code modernization, direct PVC transfers, and Helm-based generators for OpenShift. The release also serves as the official transition path for the retiring migration toolkit for containers.
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