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In Kubernetes environments, GPUs often remain underutilized amid bursty AI workloads, wasting costly resources. Scheduler plugins enable real-time monitoring and dynamic task reassignment to reclaim idle silicon, boosting efficiency and cutting costs. This innovation promises significant gains for AI-driven organizations.
As cyber threats evolve, ensuring your Cisco Secure Firewall remains optimized and up to date is essential. Join us for a 45-minute webinar designed for Cisco Firewall customers renewing their licenses, where we’ll walk through the latest updates, security enhancements, and best practices to help you maximize your investment.
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Kubernetes has become the de facto operating system for AI in cloud infrastructure, with production use reaching 82% in 2025 per CNCF's survey, driven by AI workloads in sectors like finance and healthcare. Despite challenges like skills gaps and security, its flexibility enables efficient scaling and innovation. This positions Kubernetes as essential for future AI advancements.
European enterprises are tackling Kubernetes' complexity, which hinders innovation and raises costs, through automation, managed services, platform engineering, and AI integration. Companies like Siemens and ING customize solutions to meet GDPR regulations and enhance security. By simplifying deployments, they're transforming Kubernetes into a competitive advantage.
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Google Cloud engineered a record-shattering 130,000-node GKE cluster, doubling prior limits to meet AI's exascale demands. This deep dive unpacks the control plane overhauls, networking feats, and innovations detailed in official blogs and industry reports.
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