Use Case Attributes

Description

Informational

Type

New Blueprint for AI on the The AI Edge

Blueprint Family

Integrated Edge Cloud (IEC)New

Use Case

Safety, security, and surveillance

Blueprint proposed Name

The AI on the edgeEdge

Initial POD Cost (capex)

Scale & Type

up to 7 4 servers, x86/ Arm server or deep edge class

With nVIDIA Tesla K80Telsa P4/T4 GPUs

ApplicationsTraining

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 restrictionsIoT devices are power and memory constrained.

Less than 10Kw

K8s 1.12.5 or above- Container Orchestration

OS –CentOS 7.0 or above

Infrastructure orchestrationNeed IoT device ID correlation with deep learning model (the trained ones in binary format)

Docker 1.13.1 or above

SDN

Calico and K8s, and Containers serving as client/server (a database to collect raw data streams) and server/client (a database for trained models in binary format)container networking, or OVS-DPDK

Workload Type

Containers

Additional Details

There are mainly 4 pieces:

1. a database to collect raw data streams
2. tons of containers with various models on training
3. a database for trained models in binary format, and predicted result in JSON format
4. a database for queries records and transactions of database mentioned in 1 and 3.

Acumos and EdgeX interfaces will be connected in this case

Committer

Affiliation

Committer Bio

Committer Picture

Self Nominate for PTL (Y/N)

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

Affiliation

Committer Bio

Committer Picture