Hardware Hub¶

Use this page when you already know the SDK workflow and need to decide where it should run.

Choose The Device¶

If you need...	Best fit	Start with
a stable live digital-patient demo	Raspberry Pi	Raspberry Pi Digital Patient
visible hardware feedback with a small bridge layer	Arduino UNO Q	Arduino UNO Q Setup
deterministic hardware-logic verification	FPGA board or mock FPGA flow	FPGA Mode
accelerated stress testing or real-duration wall-clock studies	NVIDIA Jetson	Jetson Endurance Mode

Fastest Safe Start¶

Raspberry Pi:

iints edge quickstart --board raspberry_pi

Arduino UNO Q:

iints edge quickstart --board uno_q

FPGA safety-core lab:

iints fpga doctor
iints fpga setup --output-dir iints_fpga_lab
iints fpga demo --output-dir results/fpga_demo

Jetson:

iints jetson doctor
iints jetson endurance start --duration 7d --profile mixed_adversarial --output-dir results/jetson_7day

For a true 24-hour acquisition study instead of an accelerated stress sweep:

iints jetson endurance start --duration 1d --profile normal --wall-clock --output-dir results/jetson_research_day

Device Routes¶

Raspberry Pi¶

Edge Hardware Matrix
  -> Raspberry Pi Digital Patient
  -> Remote Deploy & Pi Connect
  -> Maker Faire Pi Mode if needed

Arduino UNO Q¶

Edge Hardware Matrix
  -> Arduino UNO Q Setup
  -> upload bridge sketch once
  -> run the Linux-side patient runtime

NVIDIA Jetson¶

Jetson Endurance Mode
  -> doctor
  -> endurance start in accelerated or wall-clock mode
  -> status / monitor / export

FPGA Mode¶

FPGA Mode
  -> setup lab scaffold
  -> run mock safety-core comparison
  -> later connect serial FPGA bridge
  -> compare hardware output against SDK reference