ai (1).pptx Blueprint species:
Use Case Attributes | Description | Informational |
Type | New Blueprint for AI on the Edge |
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Blueprint Family | Integrated Edge Cloud (IEC) |
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Use Case | Safety, security, and surveillance |
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Blueprint proposed Name | AI on the edge |
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Initial POD Cost (capex) | Leverage Unicycle POD - less than $150K |
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Scale & Type | One pe |
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Applications | Training deep learning models for IoT devices |
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Power and memory restrictions | IoT devices are power and memory constrained. |
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Infrastructure orchestration | Need IoT device ID correlation with deep learning model (the trained ones in binary format) |
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SDN | Calico and K8s, and Containers serving as client/server (a database to collect raw data streams) and server/client (a database for trained models in binary format) |
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Dataplane | VPP | |
Workload Type |
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Additional Details | There are mainly 4 pieces:
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Attachment:
Akraino_Blueprint_Integrated_Edge_Cloud_AI.pptx
Committer | Affiliation | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Gang Chen | Baidu | chengang13@baidu.com | |||
Hechun Zhang | Baidu | zhanghechun@baidu.com | |||
Dechao Kong | Baidu | kongdechao@baidu.com | |||
Arm | |||||
PSU | N | ||||
Raviraj Mahatme | Arm | raviraj.mahatme@arm.com |
Contributor | Affiliation | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |