KubeEdge SIG AI: Accelerating industry development with ecological communities
Posted: Thu Jan 23, 2025 9:23 am
The integrated design will hinder the architectural design work such as module allocation of edge-cloud collaboration, making it very difficult to migrate across scenarios within multiple applications or even a single application. It will ultimately lead to repeated data processing, repeated algorithm development, and repeated system investment, increasing the overall construction cost of industrial solutions and making them difficult to reuse and replicate on a large scale.
The solution to the problem of integrated design is to do the opposite and implement cloud-native edge intelligent systems with a standardized paradigm . On the unified foundation of the standardized paradigm, process modularization fights against black boxing, algorithm model plug-in fights against strong coupling , and multiple technology evolutions are carried out to meet diverse needs, thereby promoting industrial agglomeration and large-scale development while coping with the forest of needs.
In terms of implementation path, we will incubate algorithm kuwait mobile phone number list applications with benchmark testing, develop diverse services with a standardized unified framework, and accelerate industrial development with an ecological community.
1. Founded in December 2020, KubeEdge SIG AI focuses on the field of cloud-native edge intelligence, and is committed to exploring and promoting cloud-native edge intelligence architecture design, technical implementation and even standard solutions. In order to meet the four technical challenges and form an industry standardization paradigm, at least three types of roles need to cooperate, namely, algorithm developers develop algorithms, service developers promote service launches, and ecosystem builders enhance industry awareness. In addition to leading manufacturers promoting work, more units need to participate in the industry to create a thriving cloud-native ecology and community. After being open sourced in 2019, the cloud-native edge computing community KubeEdge has become the industry's top-level cloud-native edge computing open source solution, seamlessly deriving K8S's container orchestration capabilities to the edge.
The solution to the problem of integrated design is to do the opposite and implement cloud-native edge intelligent systems with a standardized paradigm . On the unified foundation of the standardized paradigm, process modularization fights against black boxing, algorithm model plug-in fights against strong coupling , and multiple technology evolutions are carried out to meet diverse needs, thereby promoting industrial agglomeration and large-scale development while coping with the forest of needs.
In terms of implementation path, we will incubate algorithm kuwait mobile phone number list applications with benchmark testing, develop diverse services with a standardized unified framework, and accelerate industrial development with an ecological community.
1. Founded in December 2020, KubeEdge SIG AI focuses on the field of cloud-native edge intelligence, and is committed to exploring and promoting cloud-native edge intelligence architecture design, technical implementation and even standard solutions. In order to meet the four technical challenges and form an industry standardization paradigm, at least three types of roles need to cooperate, namely, algorithm developers develop algorithms, service developers promote service launches, and ecosystem builders enhance industry awareness. In addition to leading manufacturers promoting work, more units need to participate in the industry to create a thriving cloud-native ecology and community. After being open sourced in 2019, the cloud-native edge computing community KubeEdge has become the industry's top-level cloud-native edge computing open source solution, seamlessly deriving K8S's container orchestration capabilities to the edge.