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Nabrio

Hardware

Scales from a small edge device to a purpose-built server

The same Nara flows run on a Raspberry Pi or NVIDIA Jetson next to one camera, on an industrial PC, or on a GPU server handling many camera streams. A pilot on one device grows into a site-wide system without a rebuild.

[ 01 ]Pick a device

Which device to pick

  1. 01Light, CPU-only tasksRaspberry PiA small device next to a single camera for simple detection, counting and I/O.
  2. 02GPU-accelerated AI at the edgeNVIDIA Jetson (Orin or Thor)GPU acceleration for heavier models and several camera streams, on JetPack 6.2 or JetPack 7.2 for Jetson Thor.
  3. 03On the line or in the cabinetIndustrial PCWindows 11 or Ubuntu on a PC next to the machines, CPU or GPU depending on the workload.
  4. 04Many cameras, heavier modelsGPU serverA purpose-built server with NVIDIA GPUs for many camera streams and several flows in parallel.

Several devices can be paired into one site that shares data, so coverage grows by adding devices.

[ 02 ]Supported platforms

Supported platforms for Nara

Minimum: 1 GHz quad-core CPU, 2 GB RAM, 8 GB storage. Eight CPU cores are recommended for busy flows. A GPU is recommended for multiple camera streams and heavier models.

Supported platforms for Nara
OSVersionArchitectureGPU (CUDA)
WindowsWindows 11x86_64Supported
LinuxUbuntu 22.04 / 24.04x86_64Supported
LinuxNVIDIA JetPack 6.2 (Jetson)aarch64Supported
LinuxNVIDIA JetPack 7.2 (Jetson Thor)aarch64Supported
LinuxRaspberry Pi OS (64-bit)aarch64CPU only
Full system requirements

[ 03 ]Reva

Requirements for Reva

Reva runs on a Windows 11 workstation, with an NVIDIA GPU for training.

Requirements for Reva
UseMinimum
Annotation only2 GHz quad-core CPU, 8 GB RAM, 500 MB plus dataset storage
Training2 GHz hexa-core CPU, 16 GB RAM, 10 GB storage, NVIDIA GPU (RTX 3060 / 8 GB VRAM or better recommended)

See what Nara sees, on your own cameras.

Download Nara and build your first flow in minutes, or tell us what you need to see and do, and we’ll show you how it runs on your own hardware.