
Explore innovative techniques for deploying and managing a Kubernetes cluster in an aircraft's avionic bay, addressing unique challenges of air-gapped environments and ensuring container availability at 40,000 feet.

Explore AI model deployment at the edge using Kubernetes, addressing challenges in distributed architectures, data management, and disconnected deployments through a live demo with MLOps pipelines and OpenTelemetry.

Explore Kubernetes distros for edge computing: k8s, k3s, KubeEdge, and k2d. Compare performance, use cases, and best practices to choose the right distro for your edge environment needs.

Explore cloud-native local storage solutions for accelerating data-intensive applications in Kubernetes, focusing on AI/ML, middleware, edge computing, and virtualization scenarios.

Explore NATS.io for seamlessly connecting AI applications across cloud and edge, enabling distributed computing and fostering organizational agility in the era of generative AI and edge computing.

Explore intelligent industrial IoT networks, edge computing, and open systems for enhanced security and productivity in factory settings, with real-world examples and network virtualization insights.

Explore challenges and solutions for running Kubernetes in distributed edge environments, focusing on wellsite automation and equipment control in the oil industry. Learn about EVE for secure, scalable edge deployments.

Explore edge computing for smart farms using K3s, sensors, and Raspberry Pi. Learn to design and implement real-time monitoring systems for agriculture in Latin America.

Explore cutting-edge developments in Internet of Things technology at this Linux Plumbers Conference session, featuring expert discussions and insights on IoT advancements.

Explore containerization in automotive edge devices, focusing on Podman improvements and functional safety in interference-free environments.

Explore how Ansible Automation Platform bridges IT and OT, enabling communication with programmable logic controllers for transformative edge automation in industrial settings.

Leverage event-driven Ansible automation for efficient edge device management, handling anomalies and configuration drifts in challenging environments.

Explore flexible MLOps architecture for Red Hat OpenShift, covering data collection, cloud storage, and on-demand visualization using accelerated hardware.

Simplify middleware orchestration across hybrid cloud environments using Ansible Middleware. Learn to manage Red Hat Runtimes efficiently from Edge to Cloud deployments.

Explore a novel technique for optimizing sparse matrix multiplication in neural networks, improving performance for unstructured sparsity patterns in ML models on CPUs and edge devices.

Explore offloading-efficient sparse AI systems to optimize performance and resource utilization in artificial intelligence applications.

Explore computer vision use cases on OpenShift, from data collection and annotation to model training and deployment, with practical demonstrations on cars and trains detection.

Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.

Craft modular IoT applications with rich web interfaces using POCO C++ Libraries and macchina.io. Integrate sensors, protocols, and cloud services for efficient Linux-based device development.

Explore Fort Kairos, an open-source project revolutionizing secure Linux for untrusted edge environments using Trusted Boot, TPM, and disk encryption.

Explore AI innovations from cloud to edge, featuring PyTorch Conference 2024 highlights, KleidiAI-accelerated demos, and new learning paths for developers in Arm's ecosystem.