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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 | O |
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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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