Hardware design: high-speed PCB, FPGA, and NPU integration.
RETONAI designs hardware end to end — schematic and high-speed PCB with signal integrity, FPGA logic, and NPU/AI-accelerator integration — with firmware and the ML workload co-designed from day one. We design new boards when a retrofit needs them, and complete products when the mission does.
Capabilities
What the hardware practice covers.
High-Speed PCB & SI
Schematic through layout with signal- and power-integrity discipline built in.
FPGA Design
Custom logic, acceleration, and glue between sensors and compute.
NPU & Accelerator Integration
AI-accelerator selection and bring-up, sized to the model and power budget.
HW/SW Co-Design
Board, firmware, and model engineered as one system — not three handoffs.
Frequently asked questions
What does hardware design cover at RETONAI?
End to end: schematic capture and high-speed PCB layout with signal integrity, FPGA design, NPU and AI-accelerator selection and integration, and the hardware/software co-design that makes the board, the firmware, and the model work as one system. Deliverables and reviews are fixed per stage, so you always know what evidence the next invoice buys.
When does an AI retrofit need custom hardware?
When no off-the-shelf module fits the interfaces, the environment, or the unit economics of your fleet. Typical triggers are legacy connectors and protocols, harsh-environment constraints, tight power budgets, or per-unit cost targets at fleet scale. The feasibility study answers this question before any board is designed.
Which compute platforms do you design around?
We build on platforms such as NVIDIA Jetson and NPU/TPU-class accelerators, selected per project by power, latency, unit cost, and the shape of the model. These are target platforms we engineer on — the selection is driven by your workload, not by a vendor relationship.
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