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AI & Enterprise

Red Hat says shift from AI consumer to provider to control costs

Red Hat is reshaping its platform strategy for the era of AI agents, focusing on an open-source full-stack platform spanning hardware to agents. CTO Chris Wright said token prices are falling but enterprise token consumption is rising sharply, making reliance on external APIs and proprietary frontier models difficult to sustain. He urged firms to shift from paying for outside services to operating AI on their own infrastructure, backed by Red Hat AI Enterprise.

AI & Enterprise

Red Hat launches Fedora Hummingbird Linux targeting AI agent development environments

Red Hat unveiled a new Linux operating system, Fedora Hummingbird Linux, designed for agent-centric development environments, it said on May 15. The free container-native OS is run within the Fedora Project community and distributes the entire operating system as a single image rather than updating individual packages. Red Hat also introduced Red Hat Hardened Images, a catalog of essential container images designed for deployment across infrastructures without vendor lock-in.

AI & Enterprise

Red Hat unveils Red Hat AI 3.4 with up to three times faster inference, expands space and auto ties

Red Hat announced new products and partnerships across enterprise AI platforms, space computing and software-defined vehicles at its annual Red Hat Summit 2026 conference on May 11. It highlighted the Red Hat AI 3.4 update, adding model service capabilities and speculative decoding to boost inference speed by up to three times. Red Hat also expanded cooperation with Nvidia, announced a deployment on an ISS edge micro data centre with Voyager Technologies, and unveiled a joint initiative with Nissan.