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Use Case Attributes

Description

Informational

Type

New

Blueprint Family

Integrated Edge Cloud (IEC)The AI Edge

Use CaseSafety and security, driving assistant

Autonomousdrivingtaxi

Blueprint proposed Name

IEC Type 3: Autonomous vehicles as the edgeRoboTaxi

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

Video Processing for AutoDriving (especially training deep learning models)

• lane guidance
• safety and security applications
• remote control

Autonomousdrivingtaxi

Power and memory restrictionsAutonoumous vehicles are power and memory constrained.

Less than 10Kw

Infrastructure orchestrationNeed Geolocation correlation with deep learning model (the trained ones in binary format)

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

Additional Details

Different bus connection: Ethernet, CANbus, etc.

There are mainly 4 pieces:

1. a database to collect raw videos/video streams
2. tons of containers with various models on training
3. a database for trained models in binary format
4. a database for queries records and transactions of database mentioned in 1 and 3.

N/A