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AI & Enterprise
Red Hat unveils Red Hat AI 3.5, strengthens security validation and GPU multitenancy
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.
AI & Enterprise
DeepSeek unveils open-source DSpark technology to boost AI inference speed by up to 85 percent
Chinese AI company DeepSeek has unveiled DSpark, an open-source technology designed to speed up large language model responses, VentureBeat reported. DSpark focuses on optimising the inference process without changing the model itself. In DeepSeek tests, perceived speed improved by 60 to 85 percent and total system throughput rose by as much as 661 percent. The technology can also be applied to other open-source models.
AI & Enterprise
Personalisation that general-purpose AI cannot do can be solved with local AI, founder says
Weeklay founder Yoon Joo-hyun (윤주현) said his company is betting on local AI to deliver personalisation that cloud-based general-purpose AI lacks. Weeklay’s local AI agent platform, Aulo, runs entirely on a PC without connecting to cloud servers, keeping personal data on-device. Users download Aulo and train it on their own data, then can share trained agents through an outlet feature while keeping underlying training data hidden.