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On-device inference

Edge AI manufacturing

Edge AI lives or dies on thermal headroom, camera routing, and test that still passes after the second reflow.

Edge AI hardware places inference next to sensors—factory lines, robots, inspection stations, and field devices. Hardware Form engineers carriers, thermal paths, and production test alongside your model requirements.

Typical engagement

Illustrative program shape only — not a client case study. A US edge AI team arrives after seed with a working lab prototype. Hardware Form runs architecture review, EVT units with production-intent PCBA, DFM on sheet metal, and a pilot build with shared factory test scripts before OEM ramp.

01

Compute + thermal

Module selection, spreaders, and enclosure airflow matched to duty cycle.

02

Vision + sensing

MIPI/GMSL routing, lens calibration fixtures, and sync architecture.

03

Bring-up firmware

Power sequencing, accelerator stress, and OTA pinning before PVT.

04

SMT + assembly

PCBA, mechanical stack-up, and end-of-line inference loopback.

Jetson carrier manufacturing · Edge AI engineering

Edge AI FAQ

Which modules do you support?

NVIDIA Jetson family on custom carriers; also other SoMs when you share thermal and supply constraints.