Storage Challenges at Distributed Sites explores how to overcome traditional storage failings at remote, edge, and venue locations.| Verge.io
The Broadcom acquisition of VMware is driving IT leaders to reassess their strategies for remote deployments. This blog explains why now is the right time to upgrade Edge data protection, moving beyond simple VM consolidation to integrated resilience, recovery, and AI-ready infrastructure. The post Upgrade Edge Data Protection appeared first on Verge.io.| Verge.io
Plan a multi-site VMware alternative strategy to simplify operations, reduce costs, and prepare for AI workloads across edge and core environments. The post Multi-Site VMware Alternative Strategy appeared first on Verge.io.| Verge.io
Multi-site IT succeeds when hardware diversity meets software consistency—delivering flexibility, predictability, and simplicity across Edge, ROBO, Venues, and the core with VergeOS Virtual Data Ce…| StorageSwiss.com - The Home of Storage Switzerland
Predictive analytics promised transformation. Businesses invested in systems to forecast demand, detect fraud, and optimize logistics. But in many organizations, those deployments are sitting idle — technically “live,” but forgotten. This isn’t a failure of modeling; it’s a failure of operationalization. For technical teams, the challenge isn’t creating models, it’s keeping them healthy, relevant, and accountable over time with a platform-first approach to runtime observability.| SUPERWISE®
Discover why most predictive analytics projects fail and how adopting a platform-first approach can unlock real-world transformation. Learn how connecting insights to actions can improve decision-making and operational efficiency in industries like manufacturing and construction.| Superwise.ai
GPU-powered machine learning achieves 159x faster intrusion detection for the Internet of Vehicles (IoV)—without compromising accuracy. Discover how.| Blue Headline
In a digital age defined by connectivity, mobility, and distributed infrastructures, perimeter defense is no longer a simple wall around a centralized fortress. Instead, it is a dynamic and…| Techno FAQ
AI (artificial intelligence) analyzes brainwave data during neurostimulation to predict how a patient will respond to treatment.| Connected World
AUGUST 4, 2025 Pratexo to Deliver Keynotes at Airport Electrification Events in Europe and US Pratexo is excited to announce its upcoming participation at two important industry events: Airport Electrification Europe,| PRATEXO
Discover why colocation data centers outperform hyperscalers in edge computing by leveraging population proximity and multi-tenant economics| DataBank | Data Center Evolved
The Pure1 edge service provides secure communications with management applications in the Pure1 cloud and companion agents on systems.| Pure Storage Blog
Your model passed validation—but is it still delivering results? Discover how SUPERWISE® exposes hidden degradation, automates oversight, and connects model behavior to business impact before it’s too late.| SUPERWISE®
Most AI in healthcare fails to scale. Learn how to embed AI into clinical workflows for real impact, and governance across the health system.| Superwise.ai
Three new papers from IBM Research highlight the future role of analog in-memory computing in AI, both in the cloud and on the edge.| IBM Research
1 Origin story Figure 1 Quantization, in a general sense, is the process of mapping a continuous or large set of values to a smaller, discrete set. This concept has roots in signal processing and information theory —search for Vector Quantization (VQ) emerging in the late 1970s and early 1980s. Think things like the Linde-Buzo-Gray (LBG) algorithm (Linde, Buzo, and Gray 1980). VQ represents vectors from a continuous space using a finite set of prototype vectors from a “codebook,” often...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Figure 1 The open-source AI scene has been kicking goals. People have wrestled models, datasets, and all the fixings away from the big-wigs. The final boss of that game is the access to expensive compute. Training a foundation model from scratch takes a warehouse full of GPUs that costs more than a small nation’s GDP. It’s been the one thing keeping AI development firmly in the hands of a few tech giants with cash to burn. Until now, maybe. So, the citizen science equivalent for the NN a...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Powered by Hailo’s next gen AI chip, the HP Engage family of products allow for AI solutions to be deployed in smaller, lower powered devices expanding opportunities for AI at the edge.| www.hp.com
Discover how ops leaders are scaling AI systems with automated retraining, real-time drift detection, and sustainable MLOps practices built for 2025.| Superwise.ai
As digital transformation accelerates, the demand for real-time data processing is reshaping how enterprises manage IT operations. According to the "Speed to Business Value" report, over 80% of companies surveyed experienced increased revenue, and 62% reported more efficient process rollouts after implementing real-time analytics. Processing data closer to its source—at the edge—can significantly reduce latency, [...] The post How to Power Real-Time Performance at the Edge appeared first ...| Verinext
In industrial environments, delayed, incomplete, or inaccurate data can lead to costly inefficiencies, safety risks, and operational blind spots. Whether in construction, manufacturing, or logistics, frontline teams rely on real-time, high-quality data to make informed decisions that drive productivity and safety. Yet, traditional data collection methods—paper-based forms, siloed spreadsheets, and outdated digital tools—fail to meet the demands of modern industrial operations.| SUPERWISE®
AI That Gets Its Hands Dirty. Unlock unprecedented efficiency and safety in construction, energy, manufacturing, and logistics with agentic AI. Learn how agentic AI reduces delays, cuts costs, minimizes downtime, and improves safety on the ground. For tech leaders, this is the future of intelligent operations – bringing AI from the back office to the frontline. Explore the benefits of real-time decision-making, enhanced resilience, and empowered workforces. Ready to deploy intelligent auton...| Superwise.ai
Le edge computing, l’opportunité de développer des solutions locales et compétitives « 300 milliards d’euros investis dans les infrastructures numériques ne suffiront pas », c’est en ces termes que les auteurs du think tank Institut Montaigne ouvrent le rapport sur les infrastructures numériques, faisant référence au montant de l’engagement financier annoncé à Paris en février 2025, lors du […] L’article Infrastructures numériques, un plan décisif est apparu en pr...| La revue européenne des médias et du numérique
Learn why edge computing is critical for 5G networks, and how it reduces latency, improves security and enables real-time data processing.| Telit Cinterion
In industrial environments, delayed, incomplete, or inaccurate data can lead to costly inefficiencies, safety risks, and operational blind spots. Whether in construction, manufacturing, or logistics, frontline teams rely on real-time, high-quality data to make informed decisions that drive productivity and safety. Yet, traditional data collection methods—paper-based forms, siloed spreadsheets, and outdated digital tools—fail to meet the demands of modern industrial operations.| SUPERWISE®
Discover how predictive intelligence transforms operational resilience and efficiency by 2025. Leverage AI for your business success!| Superwise.ai
In industrial environments, delayed, incomplete, or inaccurate data can lead to costly inefficiencies, safety risks, and operational blind spots. Whether in construction, manufacturing, or logistics, frontline teams rely on real-time, high-quality data to make informed decisions that drive productivity and safety. Yet, traditional data collection methods—paper-based forms, siloed spreadsheets, and outdated digital tools—fail to meet the demands of modern industrial operations.| SUPERWISE®
The distributed computing model harnesses the resources of multiple networked computers to solve a problem. Each computer within the distributed system has its own processing power. However, the distributed system appears to function as one powerful computer.| Enconnex Blog
Capturing High-Growth, Event-Driven Workloads in the Era of Kubernetes Introduction In the rapidly evolving landscape of cloud computing, Kubernetes has emerged as the de facto standard for container orchestration. As organizations increasingly adopt microservices architectures and cloud-native technologies, a new class of workloads has come to the forefront: high-growth, event-driven workloads. These dynamic, scalable applications […]| taikun.cloud
Are you ready to revolutionize your Kubernetes management and cloud-native operations? Taikun is thrilled to announce our September 2024 Release, packed with cutting-edge features and integrations that empower DevOps teams and Kubernetes enthusiasts alike. This release introduces vCluster Integration, Longhorn Storage Support, and Zededa Cloud Services integration, elevating your cloud-native and edge computing capabilities to […]| taikun.cloud
It’s an exciting time to be involved in open source. Linux powers the world’s most critical devices, a story to which Red Hat has always been a champion. Today we look further afield. We look to a world of not what “is” but what “could be”. It’s informed by the path we’ve walked and the […] The post Software-defined processors: the promise of RISC-V appeared first on Red Hat Emerging Technologies.| Red Hat Emerging Technologies
Multi-cloud vs. hybrid cloud: which is best for AI workloads? Compare performance, security, and cost to make the right cloud decision for AI.| RicksCloudAI
Semiconductor sales—along with employment opportunities for engineers in the dynamic chip industry—are expected to rise precipitously.| IEEE Innovation at Work
On January 21, 2025, KubeEdge released v1.20. The new release has enhanced the capabilities of managing and operating edge nodes and applications for large-scale, offline and other edge scenarios. At the same time, it has added support for the multi-language Mapper-Framework.| KubeEdge Blog
Descubre las 10 principales tendencias tecnológicas para 2025 y cómo los CIOs y líderes TI pueden enfrentar los retos y oportunidades que estas presentan.| blog.bismart.com
There’s a fascinating article from 2009 written by Martin Campbell-Kelly that walks through...| Michael Dempsey's Notes
In KubeEdge v1.19, we introduced a new version of the KubeEdge Dashboard. This version of KubeEdge Dashboard is built with the Next.js framework and the MUI component library to offer better performance. Meanwhile, we have optimized and enhanced several modules of the KubeEdge Dashboard, including the device management and device model management modules.| kubeedge.io
ABB completes second investment in Pratexo ABB and Pratexo co-developing digital solutions for next-generation analytics to enable deeper understanding of complex power systems for maximum resilience and reliability. The post ABB Completes Second Investment in Pratexo appeared first on PRATEXO.| PRATEXO
On Oct 28, 2024, KubeEdge released v1.19. The new release introduces several new features for edge nodes and devices, along with a completely revamped Dashboard.| kubeedge.io
With the unprecedented volume of data and devices connected to the internet, cloud and AI services that automate and speed up innovation through insights are no longer enough.| AI Accelerator Institute
SAN FRANCISCO, Calif. – October 15, 2024 – The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of KubeEdge.| kubeedge.io
Jason Bloomberg discusses Synadia, the subject of a recent Intellyx Brain Candy.| intellyx.com
On July 26, 2024, KubeEdge released v1.18. The new release features significant improvements in stability and security, while also enhancing usability.| kubeedge.io
Lee House, CEO of IoT83, discusses the state of the IoT ecosystem and Flex83's pivotal role in enhancing connectivity.| Internet of Things News
Organizations seek ways to optimize operations and gain competitive advantages as the industrial Internet of Things (IIoT) becomes more common. Combining edge computing and Industrial IoT offers such solutions. | IoT For All
KubeEdge v1.17 is now available! This latest release introduces several new features and enhancements, including support for edge pods using InClusterConfig to access the Kubernetes API server, video streaming data reporting in Mappers, auto-restarting for EdgeCore modules, and more.| kubeedge.io
Please refer to the detailed introduction of the Summer OSPP in the Chinese version of the blog. https://kubeedge.io/zh/blog/summer-ospp| KubeEdge Blog
On January 23, 2024, KubeEdge released v1.16. The new version introduces several enhanced features, significantly improving cluster upgrades, cluster usability, and edge device management.| KubeEdge Blog
On Oct 13, 2023, KubeEdge released v1.15. The new version introduces several enhanced features, significantly improving support for Windows-based edge nodes, device management, and data plane capabilities.| kubeedge.io
On July 1, 2023, KubeEdge released v1.14. The new version introduces several enhanced features, significantly improving security, reliability, and user experience.| KubeEdge Blog
In July 2022, the KubeEdge community completed a third-party security audit of KubeEdge and released a paper on cloud native edge computing security threat analysis and protection. Based on the security threat model and audit suggestions, the community consistently strengthens the KubeEdge software supply chain. Now, we are excited to announce that KubeEdge v1.13.0 (including both binary and container image artifacts), released on January 18, 2023, achieves SLSA 3 compliance, first of its kin...| KubeEdge Blog
On Jan 18, 2023, KubeEdge released v1.13. The new version introduces several enhanced features, significantly improving performance, security, and edge device management.| kubeedge.io
The KubeEdge community is thrilled to announce the release of KubeEdge v1.12! This release introduces several exciting new features and enhancements, including alpha implementation of the next-generation Cloud Native Device Management Interface (DMI), a new version of the lightweight Edged engine, high-availability mode for EdgeMesh, edge node upgrades from the cloud, authorization for the Edge Kube-API endpoint, and more.| kubeedge.io
Abstract| KubeEdge Blog
As the first cloud-native edge computing community, KubeEdge provides solutions for cloud-edge synergy and has been widely adopted in industries including Transportation, Energy, Internet, CDN, Manufacturing, Smart campus, etc. With the accelerated deployment of KubeEdge in this area based on cloud-edge synergy, the community will improve the security of KubeEdge continuously in cloud-native edge computing scenarios.| KubeEdge Blog
On Jun 21, 2022 KubeEdge released v1.11, introducing several exciting new features and enhancements that significantly improve node group management, mapper development, installation experience, and overall stability.| kubeedge.io
On Mar 7, 2022, KubeEdge released v1.10. The new version introduces several enhancements, significantly improving the installation experience, performance testing, network communication, and Kubernetes version compatibility.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to| KubeEdge Blog
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| KubeEdge Blog
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| KubeEdge Blog
We are very pleased to share that we received a very good response from community for KubeEdge contribution competition that started on 23rd April 2019. Participants were given challenge to either fix issues, raise issues, add code towards feature development, requirement identification, promote KubeEdge by writing blogs or create a sample application using KubeEdge. During this period 156 commits and 66 issues were added in the repository. We thank all the community members for making this e...| KubeEdge Blog
KubeEdge is a CNCF Sandbox project that extends K8s from Cloud to Edge. We would like to invite you to join us in furthering this project and making it useable for everyone. To make this contribution effort more fun, we're proposing a contribution competition. See below for details. May the best contributor win!| KubeEdge Blog
Why SPIFFE for edge computing?| KubeEdge Blog
The KubeEdge team presented their case for sandboxing at the CNCF TOC meeting on 12th March 2019.| KubeEdge Blog
Edge Computing with KubeEdge| KubeEdge Blog
KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.| kubeedge.io
ABB and Pratexo will co-develop edge computing solutions to improve security, autonomy and resilience for decentralized electrical networks.| PRATEXO