GW16168 M.2 AI Accelerator with NXP Ara240 DNPU
Overview
Add Dedicated AI Processing to Embedded Systems with 40 eTOPS of Neural Network Acceleration
Deploy high-performance, low-power AI inference at the edge with 40 eTOPS of acceleration, 16GB of onboard LPDDR4 and industrial-grade reliability, powered by NXP’s Ara240 Discrete NPU (DNPU). Purpose-built for Gateworks VeniceFLEX, Catalina, and other compatible M.2 M-Key 2280 platforms, the GW16168 enables real-time machine vision, LLM inference and intelligent automation without cloud dependency.
Built for extreme industrial environments, the GW16168 operates reliably across an industrial temperature range of -40°C to +85°C and is manufactured in the USA to ensure supply chain transparency, quality control and long-term availability. Its PCIe Gen 4 interface and single 3.3V power supply enable efficient integration into industrial single board computers and edge systems, accelerating time-to-market while maintaining system reliability.
Dev Kits
Jumpstart your development in minutes with our powerful development kits.
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GW11062-1
The GW11062-1 is a complete AI development kit featuring the Catalina GW9201-S02-F1M1-F2E0 SBC and a 16GB GW16168 M.2 A...
- Complete out-of-box development kit for evaluating the GW16168 M.2 Ara240 DNPU AI accelerator
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GW11062-2
The GW11062-2 is an AI development kit featuring the Catalina GW9201-S02-F1M1-F2E0 SBC and an 8GB GW16168-SP520 M.2 AI...
- Complete out-of-box development kit for evaluating the GW16168-SP520 M.2 Ara240 DNPU AI accelerator
Specifications
Features
Packaging
Software
Interface
Power
Processing
Environment
| Part Number | Price @ 1K | Additional Description | Additional Features | Chipset | Dimensions | Form Factor | Included Peripheral | Input Voltage | Physical Interface | Power Consumption | Security | Software | Temperature Range |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
/filters:background_color(white)/2026-10/GW16168-render-wide.png) GW16168 Active Buy Options | N/A | M.2 edge AI accelerator for industrial embedded systems and real-time AI inference | Up to 40 eTOPS of dedicated edge AI performance | NXP Ara240 Discrete Neural Processing Unit (DNPU) | 22.0 x 80 x 3.5 mm | M.2 M-Key 2280 | 16 GB onboard LPDDR4 DRAM | 3.3 V M.2 edge connector | PCIe Gen4 x4; compatible with PCIe Gen3 hosts | 2.0 A typical operating current at 3.3 V | Secure Boot and Root of Trust | TensorFlow, PyTorch, and ONNX support | -40°C to +85°C |
GW16168-SP520 Active Buy Options | N/A | M.2 edge AI accelerator for industrial embedded systems and real-time AI inference | Up to 40 eTOPS of dedicated edge AI performance | NXP Ara240 Discrete Neural Processing Unit (DNPU) | 22.0 x 80 x 3.5 mm | M.2 M-Key 2280 | 8 GB onboard LPDDR4 DRAM | 3.3 V M.2 edge connector | PCIe Gen4 x4; compatible with PCIe Gen3 hosts | 2.0 A typical operating current at 3.3 V | Secure Boot and Root of Trust | TensorFlow, PyTorch, and ONNX support | -40°C to +85°C |