What's Next for Architects and IT Professionals - Performance, AI, and Cloud Innovations
Explore cutting-edge advancements in cloud technology, including AI, infrastructure optimization, and solutions for legacy workloads, sovereign needs, and edge computing.
AI and Modernization Strategies: From Edge to Sovereign to Cross-Cloud
Discover customer-proven strategies for AI-powered innovation across cloud environments, achieving faster, cost-effective business outcomes in various industries.
Efficient Platform Engineering with MicroK8s and Gopaddle
Unlock the power of self-service Kubernetes at the edge. Learn to modernize, deploy, and maintain cloud-native apps using MicroK8s and gopaddle for efficient platform engineering.
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power AIoT
Explore U-TOE, a universal toolkit for evaluating TinyML on low-power AIoT devices, presented at RIOT Summit 2023.
Azure Stack HCI Walkthrough - What It Is and When to Use It
Explore Azure Stack HCI's capabilities, use cases, and deployment process. Learn about its components, requirements, and pricing to leverage this hybrid cloud solution effectively.
From Arduinos to LLMs: Exploring the Spectrum of ML - MLOps Podcast Episode 162
Explore MLOps spectrum from LLMs to TinyML. Gain insights on model deployment challenges, IoT integration, and strategies for constrained environments. Learn about the intersection of machine learning and electronics.
Meeting Societal Challenges: Scalable Big Data-driven, AI-enabled Approaches
Explore scalable big data-driven, AI-enabled approaches for societal challenges. Learn about innovative solutions in healthcare, agriculture, and smart cities using advanced analytics and deep learning techniques.
Federated Learning Tutorial: Concepts, Applications, Challenges, and Framework
Explore federated learning concepts, applications, challenges, and frameworks. Gain insights into collaborative machine learning while preserving data privacy and security.
Resiliency at the Edge - Automated Health Checks and Recovery for Remote Devices
Explore greenboot framework for Edge device resilience, including health checks and OS rollback. Learn implementation, see a demo, and discover future plans.
Device Provisioning at the Edge
Explore efficient and secure device provisioning for Edge systems, including requirements, tools, and lessons learned from RHEL and Fedora IoT teams.
Stream Processing at the Edge with Apache Kafka
Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.
Cognitive Decentralized Edge to Cloud Orchestration (CODECO) - Framework for Edge-Cloud Infrastructure Optimization
Explore CODECO, an innovative open-source framework optimizing Edge-Cloud infrastructure efficiency through cognitive orchestration. Learn its principles, objectives, and potential impact across industries.
Knative and Kafka - The Superheroes in Event-Driven Architecture
Explore event-driven architectures with Knative Eventing and Apache Kafka. Learn key concepts and see a live demo of a customer review moderation pipeline with AI/ML integration.
Efficient Edge Computing: Unleashing Potential of AI/ML with Lightweight Kubernetes
Explore deploying AI/ML models at the edge using lightweight Kubernetes. Compare cloud vs. edge components, optimize performance, and learn strategies for efficient model serving in time-sensitive scenarios.
Navigating Challenges and Opportunities in Cloud-to-Edge Delivery
Explore unified platform for building and delivering secure applications from cloud to edge devices using Kubernetes and open-source technologies. Streamline development and deployment processes.
Efficient Storage and Distribution of AI/ML Models Using OCI Artifacts
Explore efficient storage, versioning, and distribution of AI/ML models using OCI Artifacts. Learn to break models into atomic units for optimized updates and reassembly on target devices.
Container Life Cycle Management in Automotive and Edge Deployments
Explore Podman Quadlet's systemd integration for efficient container management in automotive projects, enhancing resource utilization.
Introducing TOSA: A Common Operator Set for Machine Learning Accelerators
Explore TOSA, a standardized operator set for Machine Learning accelerators, addressing inconsistencies in ML frameworks and enabling device portability and cloud-first development for edge devices.
Energy-Efficient ML Vision App Development with Ethos-U65 - NXP and Arcturus
Leverage Ethos-U65 microNPU and Cortex-A55 CPUs on NXP's i.MX 93 for energy-efficient ML vision apps. Explore NXP's eIQ ML environment and Arcturus solutions for smart occupancy sensing and edge vision applications.
DavinSy Hands-on - Continuous Learning Beyond the Edge
Explore DavinSy's AI system for solving TinyML challenges, enabling training on Arm-powered embedded devices using real-time data. Learn fast prototyping and deployment techniques for Arm development boards.
Getting Started with AI on the Edge - Arm Tech Talk
Explore AI on edge devices using Arm's tools and resources. Learn about CMSIS-Packs, Arm Virtual Hardware, and Keil Studio Cloud for efficient ML application development and deployment.