Red Hat
10 analyses mentioning Red Hat, newest first.
Mastercard: Securing Data 'In Use' for Production AI Agents
Mastercard highlights that as AI agents run on Kubernetes, protecting data actively being processed—data in use—is the critical, unsolved security challenge beyond traditional encryption.
Red Hat Targets Enterprise AI Adoption with Hybrid, Agentic Platform Stack
Red Hat unveiled Red Hat AI 3.4 and new services to help enterprises deploy and govern complex, agentic AI workloads across diverse hybrid cloud environments.
Distributed LLM Inference on K8s: llm-d Optimizes Multi-Node AI Workloads
The discussion details advancements in WebAssembly for backend use, Java on GPUs via TornadoVM, and the development of llm-d to manage efficient, distributed LLM inference across Kubernetes clusters.
KubeCon Focus: Securing AI Agents and Orchestrating Workloads on Kubernetes
The cloud-native community is focusing on securing autonomous AI agents and ensuring workload portability across multi-cloud environments using Kubernetes at KubeCon + CloudNativeCon NA.
Red Hat and Nvidia Deepen AI Security with Autonomous Agent Controls
Red Hat and Nvidia expanded their partnership to secure autonomous AI agents by implementing robust, infrastructure-level security controls and enhancing model access governance across hybrid clouds.
IBM-backed llm-d v1.0 Launches: Enterprise Control for Self-Hosted LLM Inference
The llm-d framework, co-developed by IBM, Red Hat, and Google, released version 1.0 to provide operational controls for running large language models reliably and efficiently on private, self-managed infrastructure.
IBM Bets on AI Operating Layer as Market Shifts to Inference
Amid market jitters, IBM is positioning itself to profit by providing the operational infrastructure and orchestration layer for enterprise AI, rather than competing on foundational models.
Red Hat, Intel Signal Shift from GPU Dominance to CPU-Efficient AI Inference
Red Hat and Intel collaborated to highlight the growing importance of optimizing AI inference on CPUs, advocating for a balanced, workload-specific hardware approach over pure GPU scaling.
Red Hat Launches Tank OS to Containerize and Scale OpenClaw AI Agents for Enterprise Use
Red Hat engineer Sally O’Malley introduced Tank OS, an open-source container tool designed to help IT professionals safely deploy and manage large fleets of OpenClaw AI agents in corporate environments.
Nvidia’s Rubin Chip Platform on Track, Signaling AI Hardware Evolution
Nvidia CEO Jensen Huang announced that its next-generation Vera Rubin AI superchip platform is in full production, expected to dramatically reduce the cost of AI model operation, though a full launch is still slated for late 2026.