The AI Edge Blueprint Family

The AI Edge Blueprint Family

The AI Edge – School/Education Video Security Monitoring Blueprint

Project Technical Lead:  Hechun Zhang, Baidu, Elected 10/21/19

 

Blueprint species:

Use Case Attributes

Description

Informational

Type

The AI Edge

 

Blueprint Family

New

 

Use Case

Safety, security, and surveillance

 

Blueprint proposed Name

The AI Edge

 

Initial POD Cost (capex)

Leverage Unicycle POD - less than $150K

 

Scale & Type

up to 4 servers, x86/ Arm server or deep edge class

With nVIDIA Telsa P4/T4 GPUs

 

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

 

Power and memory restrictions

Less than 10Kw

K8s 1.12.5 or above- Container Orchestration

OS –CentOS 7.0 or above

 

Infrastructure orchestration

Docker 1.13.1 or above

 

SDN

Calico container networking, or OVS-DPDK

 

Dataplane

VPP

 

Workload Type

Containers

 

Additional Details

Acumos and EdgeX interfaces will be connected in this case

 

 

Attachment: 

 

Committer

Affiliation

 Committer Contact Info

Committer Bio

Committer Picture

Self Nominate for PTL (Y/N)

Hechun Zhang

Baidu

zhanghechun@baidu.com

Seasoned MEC and 5G Solution Architect of Baidu, with impressive 9 years experience in ICT industry.

Project Manager of ODCC Edge Computing Group.

 

                       Y

Dechao Kong

Baidu

kongdechao@baidu.com

 

 

 

Gang Chen

Baidu

chengang13@baidu.com

 

 

 

Zhenhua Xu

Baidu

xuzhenhua02@baidu.com

 

 

 

Siyi He

Baidu

hesiyi@baidu.com

 

 

 

@Tina Tsou (Deactivated)

Arm

 

 

 

 

@Yipan Deng

Intel

yipan.deng@intel.com

 

 

 

@Wenhui Zhang

PSU

 

 

 

N

Raviraj Mahatme

Arm

raviraj.mahatme@arm.com

 

 

 

Tiejun Chen

VMware

tiejunc@vmware.com

 

 

 

 

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