Client Infrastructure
Client-Provided Infrastructure for AI Inference
AVEKSHA and Bharat AI Vision models are software products. All hardware required for private or hybrid inference must be provided and maintained by the client or implementation partner.
Sizing depends on
Camera resolution
Stream codec
Required FPS
Number of AI modules
Model complexity
Scene complexity
Required latency
Concurrent streams
Storage retention
Redundancy requirements
Deployment type
Indicative planning guidance
Evaluation environment
- Approximately 1-5 selected cameras
- Modern 8-core CPU or better
- 16-32 GB RAM
- Supported NVIDIA GPU with approximately 8-12 GB VRAM
- 512 GB SSD or NVMe
- Approved Ubuntu/Linux version
Pilot environment
- Approximately 5-20 selected cameras
- Modern 12-16 core CPU or better
- 32-64 GB RAM
- Supported NVIDIA GPU with approximately 16-24 GB VRAM
- Minimum 1 TB NVMe recommended
- Event storage based on retention requirements
Production environment
- Final capacity determined after pilot and benchmarking
- Enterprise server-grade CPU
- 64 GB RAM or higher
- One or more supported GPUs
- Client-managed NVR/VMS/NAS/SAN
- Redundancy based on operational requirements
Large deployment
- Distributed inference nodes
- Multiple client-provided GPU servers
- Camera distribution across nodes
- Central dashboard
- Load balancing where required
- Redundancy and failover where required
These specifications are indicative planning guidance only. Final hardware requirements must be confirmed through camera-stream, AI-model and inference-performance benchmarking.
Camera and Stream Requirements
Supported or assessable sources
- IP cameras
- RTSP streams
- ONVIF-compatible cameras
- HTTP video streams
- Approved NVR/VMS streams
- PTZ cameras
- Thermal cameras
- IR cameras
- Night-vision cameras
- Drone video streams
- Recorded video files
Information required from the client
- Camera brand
- Camera model
- Stream URL
- Resolution
- Codec
- FPS
- Main-stream details
- Sub-stream details
- Camera credentials
- Camera location
- Camera angle
- Lighting conditions
- Required AI module
- Detection zone
- Recording requirement
- Retention requirement
Camera compatibility and AI performance are validated through technical assessment and pilot testing.
Bharat AI Vision Software
Benchmark before production sizing.
Validate streams, models and inference speed before final infrastructure decisions.
Start Pilot →