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| Case Attributes | Description | Informational |
|---|---|---|
| Type | New | |
| Blueprint Family - Proposed Name | The AI Edge Blueprint Family | |
| Use Case | Federated machine learning applications for edge devices | |
| Blueprint proposed Name | Federated ML application at edge | |
| Initial POD Cost (capex) | TBD | |
| Scale & Type | 1 Arm/x86 server, unlimited Arm/x86 clients | |
| Applications | Include but not limited to
| |
| Power Restrictions | Varies | |
| Infrastructure orchestration | The cloud/network infrastructure: Containers, lightweight Kubernetes K3s, Kubernetes ecosystem Operating systems: Linux (CentOS, OpenEuler) Container runtime Docker, KubeVirt for VMs | |
| Workload Type | Containers/VMs | |
| SDN | Flannel for container networking | |
| Additional Details | NA |
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Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
| Julie Han | WeBank | ||||
| Inwinstack | thor.c@inwinstack.com | ||||
| Baidu | zhanghechun@baidu.com | ||||
Contributor | Contributor Company | Contributor Info | Contributor Bio | Contributor Picture |
| Arm | tina.tsou@arm.com | |||
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