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Wenhui Zhang

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Use Case Attributes

Description

Informational

Type

New

 

Blueprint Family

Integrated Edge Cloud (IEC)

 

Use Case

AI AR/VR Ecosystem

 

Blueprint proposed Name

IEC Type 4: AR/VR oriented Internet Edge Stack for Integrated Edge Cloud (IEC) Blueprint Family

 

Initial POD Cost (capex)

NVIDIA Tesla K80 GPUs

N/A

 

Scale & Type


 

Applications

Augmented reality and virtual reality for gaming, remote conferencing and interactive immersive films (especially SLAM and ray tracing)

 

Power and memory restrictions


 

Infrastructure orchestration

Need Geolocation correlation with deep learning model (the trained ones in binary format)video caching for tenants

 

SDN

Calico and K8s, and Containers serving as client/server (a database to collect raw videos/video streamssensor data in format of six degrees of freedom) and server/client (a database for trained models rasterization in binary video format)

 

Workload TypeTensoflow, Keras containers

Containers for raytracing and video caching

 

Additional Details

There are mainly 4 pieces:

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

    GForce Series GPU might be better than NVIDIA Tesla K80 GPUs

     


    Proposed PTL: 



    Contributors: 

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