Predictive Maintenance of Hardware
Project Technical Lead:
Project Committers detail:
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Vijay Pal | palc networks | M:+91-7893028220 | Innovative Leader with 20+years of experience in software development for Networks and security platforms. Expert in advanced software development methodologies, tools and processes contributing to the design and roll-out of cutting-edge software applications. |  | Yes |
Vignesh Kesavan | palc networks |
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Vishwas Sharma | palc networks |
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Shivashankar C R | palc networks |
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Subham Rana | palc networks |
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Sarthak Sharma | palc networks |
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Presentation
The following is base ppt file for above pdf.
Use Case Details
Attributes | Description | Informational |
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Type | New Blueprint for Predictive Maintenance of Hardware at the Edge |
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Blueprint Family - Proposed Name | AI Edge Blueprint Family |
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Use Case | Provide Predictive Maintenance of Hardware ( HDD ,sensors , Optics ,interfaces , CPU etc) in advance before system failure |
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Blueprint proposed Name | Predictive Maintenance |
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Initial POD Cost (capex) | Leverage Unicycle POD - less than $150k |
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Scale & Type | Up to 100K devices x86/ARM server or deep edge class |
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Applications | Our AI based Predictive Maintenance solution has application and usage in every aspect networks / data center’s / compute nodes /autonomous robots and cars. |
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Power Restrictions | Less than 10Kw |
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Infrastructure orchestration | Docker 1.13.1 or above and K8s 1.10.2 or above- Container Orchestration OS - Ubuntu 22.x |
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SDN | - |
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Workload Type | Any |
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Additional Details | Kafka message bus and Webhook/Nginx middleware Kubeless function management engine over Kubernetes PMC Client with network connectivity GUI based installer for Functions |
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