In collaboration with NXP, Gateworks is releasing a new M.2 AI Acceleration Card, the GW16168, with NXP’s passively cooled Discrete NPU (DNPU), the Ara240. Designed, tested and assembled in the USA, the GW16168 is built to industrial-grade standards with an emphasis on their “Decoupled AI Architecture” philosophy.
Nuremberg, Germany, 10th March 2026 – Today at Embedded World, Gateworks and NXP are announcing The GW16168 AI acceleration card.
Using and deploying your own AI is a costly process, whether you are talking about time, manpower or even financial costs. Incorporating newer AI acceleration hardware often entails re-thinking your entire hardware stack, from Single Board Computers (SBCs) to custom cooling systems. This is typically, with current market options, a costly and complex process. A process which is exacerbated by the frequent need to replace or update hardware. Gateworks have spotted this gap in the market and introduced the GW16168, to remove some of the hurdles that engineers and businesses tackle when deciding to run in-house AI.
”Decoupled AI Architecture” based design philosophy.
“We are ending the era where you must choose your entire compute platform based on the AI chip”. A powerful sentiment from the team at Gateworks. The design decisions from the engineers at Gateworks have been made to decouple their M.2 card from specific hardware or environmental constraints; from the power profile, the M.2 2280 M-Key form factor and passively cooled Ara240 DNPU.
