AI/ML and AR/VR applications at Edge
@Sukhdev Kapur
@Vikram Siwach
Project Technical Lead: Vikram Siwach
Project Committers detail:
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
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Sukhdev Kapur | Juniper Networks | @Sukhdev Kapur |
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Vikram Siwach | MobiledgeX | @Vikram Siwach |
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Presentation:
Blueprint species:
Attributes | Description | Informational |
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Type | New Blueprint for enabling AI/ML and low latency AR/VR capabilities at the Edge | New submission for integrating Tungsten Fabric for Edge Cloud for AI/VR applications for developers in a distributed environment |
Industry Sector | Edge Cloud, Enterprise, 5G, and IoT | The blueprint empowers Integrated Edge Cloud architecture to use single SDN Controller (Tungsten Fabric) for all type of Containers, Virtual Machines, and Bare Metal Servers. |
Blueprint Family - Proposed Name | Integrated Edge Cloud |
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Use Case | Programmability on switches and I/O Accelerations on programmable NICs & embedded FPGAs to deliver AI/ML workload placement and low latency demands of AR/VR applications onboarding edge stack |
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Blueprint proposed Name | AI/ML and AR/VR applications at Edge |
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Initial POD Cost (capex) | Leverage white boxes, standard NICs: The cost of POD will depend upon the hardware profiles and peripherals desired |
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Scale & Type | The deployment will employ baremetal as well virtual machines and containers. The smallest footprint for minimal Cloudlet is 9VMs to a large Cloudlet could span to 8-Cluster Cloudlets |
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Applications | AI/ML streaming workloads and AR/VR applications |
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Power Restrictions | Less than 10Kw |
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Infrastructure orchestration | OpenStack Queens or above Docker 1.13.1 or above Container Orchestration –K8s 1.10.2 or above OS - Ubuntu 16.x, CentOS |
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SDN | Tungsten Fabric Kernel vRouter, DPDK vRouter, SR-IOV and SmartNIC |
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Workload Type | Containers over VM or baremetal |
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Additional Details | ● Runs on Commodity HW |
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