Customer Profile
AI and private 5G solutions across distributed edge locations
Business Challenge
As part of AI-RAN for smart cities use case, Vapor wanted an automation and orchestration solution to manage high-availability 5G edge deployments comprising NVIDIA GH200 hardware capable of RAN L1 acceleration along with AI computer vision applications for traffic monitoring.
Solution
- aarna.ml GPU CMS (AI-RAN Edition) for E2E deployment, provisioning and monitoring
- RAN and AI workload deployments
- Multi-site networking configurations
- Monitoring of various faults
- Routing of traffic to stand-by edge location in case of faults (e.g. fibre cut)
Outcome
- Seamless deployment and operations of private 5G network
- Enablement of AI based use cases
