Project Technical Lead:
Hechun ZhangLiya Yu, Baidu, Elected 1004/2113/19 21
Blueprint species:
Use Case Attributes | Description | Informational |
Type | The AI Edge |
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Blueprint Family | New |
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Use Case | Safety, security, and surveillance |
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Blueprint proposed Name | The AI Edge |
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Initial POD Cost (capex) | Leverage Unicycle POD - less than $150K |
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Scale & Type | up to 4 servers, x86/ Arm server or deep edge class With nVIDIA Telsa P4/T4 GPUs |
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Applications | 1. Small scale IoT data aggregation and machine learning platform 2. Small scale deep learning models training for video data 3. Model training for AcumosApps |
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Power and memory restrictions | Less than 10Kw K8s 1.12.5 or above- Container Orchestration OS –CentOS 7.0 or above |
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Infrastructure orchestration | Docker 1.13.1 or above |
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SDN | Calico container networking, or OVS-DPDK |
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| Dataplane | VPP | |
Workload Type | Containers |
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Additional Details | Acumos and EdgeX interfaces will be connected in this case |
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