Red Hat introduced its new AI platform version, Red Hat AI 3.5, on Wednesday. The company said the release focuses on pre-deployment security validation, multitenancy for shared GPU infrastructure and improved observability, while also enhancing agent development. It launched EvalHub to assess models, RAG configurations and agents before deployment and generate compliance outputs. The model catalog adds more than 20 validated models and new scoring. Red Hat also highlighted new scheduling features and AutoRAG and Responses API updates.

SK Telecom has passed a second-stage evaluation of the government’s project for a proprietary AI foundation model. The assessment reflected industrial applicability and impact on South Korea’s AI ecosystem. SKT plans to expand its technology scope in the next evaluation to models with up to trillion-level parameters and to multimodal and AI agent areas. It has developed the A.X K1 and expanded to A.X K2, and it is building derived vision and speech models and applying them in manufacturing and defence.