As use of agentic AI accelerates, Red Hat is hoping to position itself as the critical behind-the-scenes plumbing and connective fabric.
To this end, the company has unveiled new desktop and developer suite functions, skills bundles, and a rolling Linux release to help enterprises move beyond the experimental phase.
Announced at Red Hat Summit today, the new features and services are included in the latest release of Red Hat AI, with no additional usage charge. Tools are not metered and usage is not limited, Red Hat execs emphasized in a briefing.
“We’re helping developers accelerate and own their AI strategy with the same rigor they apply to their core IT applications,” said James Labocki, senior director for product management at Red Hat.
Meeting developers where they are
To build a standardized path of sorts, and help developers build and scale agents from their local desktops, Red Hat is making its Red Hat Desktop generally available and enhancing its Advanced Developer Suite.
The
REDWOOD CITY, Calif., May 12, 2026 — MinIO today announced MemKV, a context memory store that delivers microsecond context retrieval at petabyte scale for agentic AI inference workloads. MemKV joins […]
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Steve Yegge’s article about programmer burnout (“The AI Vampire”) along with Margaret Storey’s article about Cognitive Debt started an ongoing conversation about programmer fatigue and software quality—two topics that should be linked, but often aren’t. Steve argues that programming constantly with the help of agentic AI leds to burnout; it’s fast, it’s fun, but keeping […]
Joe Rose, president at strategic technology provider JBS Dev, wants to cut through one of the myths of working with generative and agentic AI systems. “It’s a common misconception that your data has to be perfect before you do any of these types of workloads,” he explains. As a recent article in AI Fieldbook outlines, […]
The post JBS Dev: On imperfect data and the AI last mile – from model capability to cost sustainability appeared first on AI News.
The vendor is rolling out AI agents across its fixed network platforms to automate troubleshooting, improve customer support and accelerate fiber deployment.
Gemini, Bitget & Neyro lead agentic AI trading push as market forecast hits $139B by 2034, bringing autonomous agents into crypto & DeFi infrastructure. Agentic AI are systems that do not just classify data but monitor environments, make decisions and…
ATLANTA, May 11, 2026 — Red Hat today announced a collaboration with Core42, a G42 company and a leading provider of sovereign cloud and AI infrastructure, to architect and deliver sovereign […]
The post Red Hat and Core42 Set the Standard for Sovereign AI Infrastructure appeared first on AIwire.
Human-in-the-Loop becomes an operational bottleneck In my previous article, ”The Missing Layer in Agentic AI,” I argued that AI agents need a deterministic execution kernel—a privileged “Kernel Space” that validates every proposed action before it touches the real world. That article focused on what happens at the execution boundary: idempotency, JIT state verification, and DFID-correlated […]