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

Use Case Attributes

Description

Informational

Type

New Blueprint for VR/AR on the Network Edge

Blueprint Family

Integrated Edge Cloud (IEC)

Use Case

Deployment of generic edge end and cloud environment for VR/AR cloud streaming

Blueprint proposed Name

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

Initial POD Cost (capex)

NVIDIA RTX GPUs

Chelsio T580-CR NICs

Scale & Type

Generic blueprint PoC:

• One master node and up to 5 worker nodes with mixed Linux and Windows OS
• Each server, x86/ARM server with nVidia RTX GPUs (Titan or GeForce) and Chelsio T580-CR NIC

Large scale deployment:

• Number of servers, x86/ARM server or deep edge class, is site dependent (footprint)
• vGPU and federation supported class, e.g. NVIDIA Tesla K80 GPUs;

Applications

Generic blueprint POD: Small scale cloud AR/VR rendering farm with generic SO.

Production/commercial service:

1. Consumer applications: High performance premium gaming, 3D video for movies, live concerts, events, LBE, etc.
2. Enterprise applications: training/education, product design collaboration, manufacturing, maintenance, data analytical etc,

Power and memory restrictions

N/A

Infrastructure orchestration

Docker 1.13.1 or above and K8s 1.10.2 or above- Container Orchestration, VMWare VM

OS - Ubuntu 16.x, windows server 2019

Under Cloud Orchestration - Airship v1.0 (TBD)

SDN

Calico and K8s, Memcached load balancer

Workload Type

VR and AR applications with split rendering runtime running inside Containers or VM

Additional Details

The test configuration consists of 2 machines connected back-to-back using single port: a master and worker node, each with TBD processor clocked at TBD GHz, with TBD GB of RAM and Ubuntu operating system for master, windows server 2019 or later for worker. MTU of 1450B is configured (to compensate for GTP tunnel header). One Chelsio T580-CR and TBD GPU adapter is installed in each system with Chelsio GPUDirect RDMA driver v1.0.0.0, CUDA v6.5, OpenMPI v1.8.4 (with CUDA support), OSU micro benchmarking tools v4.4.1 and nVIDIA peer memory driver.

Committer

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Committer Bio

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Contributor

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