deploy it yourself

Run visionplatform.ai where it makes the most sense for you—at the edge or in the server room:

• Edge on NVIDIA Jetson

  Low-latency AI for ≈ 20 cameras per device. Ideal when bandwidth is limited or when you need decentralised compute (e.g., a street cabinet in a solar park).

• Central GPU servers

  Process 20 – 500+ Milestone XProtect streams from a single rack-mount unit that sits next to your existing Husky or recording server.

Mix and match both tiers in one console, using the same model library and no-code workflows. Existing cameras stay put—just point their feeds to visionplatform.ai and start generating safety, security, and ops insights in minutes.

• High-density processing – handle from 20 to-500+ XProtect streams on a single rack-mount appliance, slashing cost per camera.

• Leverage hardware you know – drops into the same rack and network that already hosts your Milestone recording server.

• Unified maintenance – one box to patch, monitor, and back up instead of dozens of edge nodes.

• Enterprise-grade GPUs – Flexible GPU’s from NVIDIA A2000/A4000 to L4/A40-class cards deliver the horsepower for advanced models and future workloads.

• Cross-site insights – aggregate video analytics from multiple facilities for fleet-wide dashboards and trend analysis.

• Built-in redundancy – easy to pair with UPS, RAID, and clustering for mission-critical uptime.

Key benefits

✓ Lowest cost per stream at scale
✓ Centralised control & health monitoring
✓ Ready for expansion—add GPUs, add channels, no re-engineering