IoT and Edge Computing Trends - Will the Edge Eat the Cloud?
Explore macro trends in IoT and Edge computing, focusing on go-to-market strategies and the role of open source collaboration in delivering differentiated, outcome-based solutions.
The Bleeding Edge: Kubernetes Deployment Models
Explore cutting-edge Kubernetes deployment models, focusing on platform basics, distributions, and key considerations for effective implementation and management.
Federated Learning All-in-One Box
Explore federated learning architecture, deployment workflows, and practical demonstrations using Microshift for decentralized machine learning applications.
Deploying and Supporting Kubernetes Applications at Scale on the Edge
Explore deploying Kubernetes apps at scale on edge environments across clouds, focusing on industry patterns, enablers, and lessons learned for efficient cloud-native solutions.
Brewing Coffee Beyond the Edge - A Hardware Engineer's Guide to Kubernetes
Explore Kubernetes for hardware engineers, focusing on IoT applications like coffee brewing. Learn about MQTT, Mosquito, and Jupyter CLI integration for innovative edge computing solutions.
Edge Computing with RISC-V Platforms Running XIP Linux
Explore edge computing using RISC-V platforms and XIP Linux, focusing on implementation strategies, performance optimization, and real-world applications in resource-constrained environments.
Kubernetes and Linux Base Disaggregation: From CPU-Centric Compute Across Edge and Core
Explore Kubernetes and Linux base disaggregation from CPU-centric compute across edge and core environments, enhancing distributed system efficiency and scalability.
ONAP and Cloud Native - Integrating Service Orchestration with Cloud Technologies
Experts discuss ONAP's integration with cloud-native technologies, exploring service orchestration, CNFs, operators, and edge computing for enhanced network management.
Introducing Project DENT - Linux Networking at the Edge
Explore Project DENT, an open-source initiative revolutionizing Linux networking at the edge. Learn about its architecture, features, and impact on open networking from industry experts.
Managing Kubernetes Edge Fleets Prone to Network Fault Tolerance
Explore strategies for managing Kubernetes edge fleets in challenging network environments, focusing on fault tolerance and utilizing K3S for efficient container orchestration.
The Journey from Docker Desktop to 100K IoT Devices Running on Docker
Learn to build, deploy, and scale Docker containers for IoT projects, from local development to managing thousands of devices using balenaCloud. Includes hands-on examples with Raspberry Pi and live deployment techniques.
End-to-End AI Developer Journey with Containerized Assets Using Intel DevCatalog and DevCloud
Explore containerized AI development using Intel DevCatalog and DevCloud. Learn to access, customize, and deploy AI assets on various Intel hardware, leveraging OpenVINO for training and inference.
How to Build an Item Detection App with No-Code AI Vision at the Edge
Build a retail item detection system using Node-RED and Docker. Learn setup, containerization, and deployment for efficient edge AI vision applications without coding.
AIoT Ops - Using Kubernetes and ML Ops to Build Edge ML Applications
Explore AIoT applications using Kubernetes, covering architecture patterns, ML pipelines, and real-time industrial IoT simulations for predictive maintenance with edge computing and TPU accelerators.
KubeEdge - Extending Kubernetes to the Edge with Real-World Industry Examples
Explore KubeEdge's architecture and real-world applications in IoT and distributed systems. Learn how it extends Kubernetes for efficient edge computing workload management across various industries.
KMM - Your Swiss Army Knife for Kernel Modules on Kubernetes
Explore KMM for efficient kernel module management in Kubernetes. Learn to build, load, and upgrade modules, enabling AI/ML, edge computing, and software-defined storage solutions at scale.
IPVM - Bringing Wasm-Based Edge Compute to IPFS
Explore IPVM and UCAN Invocations: revolutionizing open services with verifiable data and computation, enabling seamless interoperability and superlinear scaling for the next generation of networked systems.
AI on the Edge with Microsoft Surface
Explore Microsoft Surface's AI capabilities, enhancing Windows, Teams, and Co-Pilot. Learn about Surface's five-year AI leadership and its impact on user experience and productivity.
ML On-Device: Building Efficient Models
Explore on-device machine learning for efficient, privacy-preserving models on mobile and edge devices. Learn about real-time AI applications, model optimization, and deployment strategies.
Two-Node High Availability for Edge Kubernetes - A New Approach
Explore a novel approach to 2-node high availability for edge Kubernetes, enhancing resilience and efficiency in cloud-native deployments at the network edge.
Introduction to KubeEdge - Kubernetes Native Edge Computing Framework
KubeEdge扩展Kubernetes到边缘计算，提供云边协同能力。介绍其动机、架构、新特性、用户采用情况、SIG更新和子项目，并探讨未来发展方向和贡献者参与方式。