diff --git a/sig-ai/charter.md b/sig-ai/charter.md index ef36a1d2833b2692018d0300d0e0c4e3e6f61fc5..998b41ac637bd488f65a219d0e66bdeca7f5ac8b 100644 --- a/sig-ai/charter.md +++ b/sig-ai/charter.md @@ -12,9 +12,14 @@ SIG AI is responsible to provide general platform capabilities based on KubeEdge - work with existing AI framework, to enable it run better on KubeEdge, such as Tensorflow, PaddlePaddle, onnx etc. - KubeEdge supports heterogeneous hardware, such as Ascend, Kunglun, Cambrian, and Rockchip. - - KubeEdge supports ONX models, such as tutorials. + - KubeEdge supports ONNX models, such as tutorials. - Cooperation with other open source communities, such as Akraino -- provide an **edge-cloud collaborative** AI framework based on KubeEdge capabilities +- provide an **edge-cloud collaborative** AI framework based on KubeEdge capabilities, such as model and dataset. +- provide an end-to-end edge-cloud collaborative AI benchmarking framework, for typical AI applications scenarios on KubeEdge. + - Contextual Metrics + - End-to-end Testbed + - Consisting of data collection, data preprocess, train, inference and other parts + - Covering cloud, edge, and end-device layers - research interest **include but not limited as follow**: - cloud training and edge inference锛� integrationg with kubeflow - incremental learning