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Use Case Attributes

Description

Informational

Type

New

 

Blueprint Family

The AI Edge

 

Use Case

Autonomousdrivingtaxi

 

Blueprint proposed Name

RoboTaxi

 

Initial POD Cost (capex)

Leverage Unicycle POD - less than $150k

 

Scale & Type

Up to 4 servers, x86 server or deep edge class

With nVIDIA Tesla P4/T4 GPUs

 

Applications

Autonomousdrivingtaxi

 

Power and memory restrictions

Less than 10Kw

 

Infrastructure orchestration

Docker 1.13.1 or above

K8s 1.12.5 or above- Container Orchestration

OS – CentOS 7.0 or above

 

SDN

Calico container networking,or OVS-DPDK

 

Workload Type

Containers

 

PaaSOTE Stack + OpenEdge(Baetyl) + OpenNESS

Additional Details

N/A

 



View file
nameRoboTaxi_V0V1.50.pdf
height250


Committer

Committer

Company

 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 the ICT industry.

Project Manager of ODCC Edge Computing Group.

张贺纯.jpeg

Y

Zhenhua XuBaiduxuzhenhua02@baidu.com


Siyi HeBaiduhesiyi@baidu.com


Yipan DengIntelyipan.deng@intel.com


Haitao WangIntelhai.tao.wang@intel.com


Xiaopeng TongIntelxiaopeng.tong@intel.com


Tina TsouArmtina.tsou@arm.com


Dechao KongBaidukongdechao@baidu.com


Wenhui ZhangPSU




N

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