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Use Case Attributes

Description

Informational

Type

New Blueprint for AI on the Edge

Blueprint Family

Integrated Edge Cloud (IEC)

Use Case

Safety, security, and surveillance

Blueprint proposed Name

AI on the edge

Initial POD Cost (capex)

Scale & Type

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

With nVIDIA Tesla K80 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 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)

Workload Type

• Containers (Tensoflow, Keras containers)
• VMs

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.