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At Embedded World 2026 in Nuremberg, DEEPX presented two edge-AI products and demonstrations with more than 10 global partners, spanning factory automation, traffic analysis, robotics, smart cities and video management. Avnet Silica was the named European distribution route; DEEPX also said Avnet had identified more than 30 prospective customers in high-performance embedded markets.
What DEEPX showed at Embedded World 2026
Embedded World ran from 10–12 March 2026 in Nuremberg, Germany. DEEPX exhibited at its own booth while demonstrations ran simultaneously at more than 10 partner booths. The emphasis was on combining DEEPX inference hardware with other companies’ boards, systems and software, rather than presenting only a standalone chip.
DEEPX described the strategy as a push into European “physical AI” applications: AI operating in or alongside physical systems. Its target areas included robotics, drones, factory automation, autonomous mobile robots (AMRs), machine vision and smart-city infrastructure. The demonstrations also covered traffic analysis, logistics, security and intelligent video management.
DX-M1M and DX-AIPlayer: what is the difference?
The two products address different integration needs. DX-M1M is a module for adding inference to an existing compatible system; DX-AIPlayer combines an NPU and CPU board into a more integrated development-to-deployment setup.
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#1 Best Overall
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- Dual-Brain Hybrid Power: Combines the Qualcomm Dragonwing QRB2210 MPU (Quad-core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI acceleration) and the real-time, low-power STM32U585 MCU for advanced applications like object recognition, voice commands, and motion detection.
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- Advanced Features: Equipped with 4 GB LPDDR4 RAM, 32 GB eMMC built-in storage, ideal for single-board computer (SBC) mode, running multiple simultaneous high-level processes, more complex AI or ML models, extensive logs. Dual-band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, and high-speed headers for vision, audio, and display peripherals.
- Seamless Expansion & Connectivity: Features the classic UNO form factor for shields compatibility, an 8x13 LED matrix, and a Qwiic connector for easy expansion with Modulino nodes; power and connect via the USB-C connector.
- Intended Use & Development: The perfect platform for prototyping robotics or IoT projects, empowering innovators with a unified development experience to mix Arduino Sketches, Python scripts, and containerized AI models in a single interface.
| Product | Form factor | Intended deployment | Integration approach |
|---|---|---|---|
| DX-M1M | Standard M.2 module containing the DX-M1 AI chip | Adding AI inference to industrial PCs and edge-server slots | Use an existing host system with a compatible M.2 slot; host compatibility and software requirements should be confirmed for the specific system. |
| DX-AIPlayer | Integrated solution combining a DEEPX NPU with a high-efficiency CPU board | A workflow DEEPX positions for model development through industrial deployment | Provides a more integrated hardware environment; the announcement does not specify the exact development tools, supported models or deployment configuration. |
The practical choice is therefore about system design, not an established speed or cost ranking: DX-M1M is aimed at reusing a host, while DX-AIPlayer combines compute components in one solution. DEEPX did not publish a price, TOPS rating, latency, power draw or independent benchmark result in the sources describing the event, so the products cannot be meaningfully ranked on those measures from the announced information.
Which companies demonstrated DEEPX technology?
The partner demonstrations paired DEEPX hardware with embedded boards, application processors, software or complete systems. DEEPX identified the following examples:
Rank #2
- Dual-Brain Hybrid Power: Combines the Qualcomm Dragonwing QRB2210 MPU (Quad-core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI acceleration) and the real-time, low-power STM32U585 MCU for advanced applications like object recognition, voice commands, and motion detection.
- AI & Linux Capabilities: Unlocks AI-powered vision and sound solutions; runs Linux Debian OS for coding in Python and supports the Arduino ecosystem with libraries and Sketches; quick start with Arduino App Lab.
- Advanced Features: Equipped with 2 GB LPDDR4 RAM, 16 GB eMMC built-in storage, ideal to develop in PC-connected mode, running the OS, Python scripts, and basic network services (SSH) without a demanding GUI or heavy multitasking; great for lightweight AI and memory-optimized TinyML applications, needing local storage for basic OS and core libraries. Dual-band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, and high-speed headers for vision, audio, and display peripherals.
- Seamless Expansion & Connectivity: Features the classic UNO form factor for shields compatibility, an 8x13 LED matrix, and a Qwiic connector for easy expansion with Modulino nodes; power and connect via the USB-C connector.
- Intended Use & Development: The perfect platform for prototyping robotics or IoT projects, empowering innovators with a unified development experience to mix Arduino Sketches, Python scripts, and containerized AI models in a single interface.
- Renesas Electronics: Industrial boards combining Renesas application processors with DEEPX NPUs for smart-factory solutions.
- Sixfab and Raspberry Pi: Real-time smart-traffic analysis and the global debut of an AI HAT equipped with the DX-M1.
- AAEON, IEI, WeLink, Endrich, Toradex and Lanner: Customized AI hardware for smart cities, automated logistics and security systems.
- Ultralytics: One-click YOLO model execution, presented through the Open-Source Physical AI Alliance.
- Network Optix: Integration of DEEPX products with an intelligent video-management system.
These examples show the range of the ecosystem on display, but they do not by themselves establish that every combination is a generally available, production-qualified product. Buyers should check the intended configuration, software support and availability with the relevant company.
What was Avnet Silica’s role, and how can European customers source DEEPX hardware?
DEEPX said it had signed a distribution agreement with Avnet Silica in 2025 and described Avnet Silica as expanding adoption of DEEPX products in European embedded sectors, including smart-city infrastructure, AMRs, machine vision and smart factories. DEEPX also reported that Avnet Silica had identified more than 30 customers in high-performance embedded markets. That figure is a DEEPX-reported customer-prospect claim, not an independently audited market statistic.
Rank #3
- Single core ARM Cortex-A7 32-bit core, integrated with NEON and FPU
- Built in Micro's self-developed 4th generation NPU, with high computational accuracy and support for mixed quantization of int4, int8, and int16. Among them, int8 has a computing power of 0.5 TOPS and int4 has a computing power of up to 1.0 TOPS
- Built in self-developed 3rd generation ISP3.2, supports 4 million pixels, and supports various image enhancement and correction algorithms such as HDR, WDR, and multi-level denoisin
- It has powerful encoding performance, supports intelligent encoding, adapts to save bit rates according to the scene, and saves more than 50% of the bit rate compared to conventional CBR mode, making the captured images high-definition, smaller in size, and doubling the storage space
- The design with built-in RISC-V MCU supports low-power fast startup, 250ms fast capture, and simultaneous loading of AI model library, enabling facial recognition to be completed within 1 second
Avnet Silica is the stated European distribution route in the event announcement. The announcement does not establish current stock, regional delivery coverage, pricing, or whether either product can be ordered directly through a public online listing. European customers should contact Avnet Silica or DEEPX to confirm availability, configuration and commercial terms.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Does the event establish readiness for factories, robots or machine vision?
The demonstrations are evidence that DEEPX and its partners were integrating the hardware into application-oriented prototypes and systems across industrial and vision use cases. The announced examples included smart-factory boards, traffic analysis, logistics and security hardware, YOLO execution, and video-management integration.
Rank #4
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- 【STABLE WIRELESS & CLEAR AUDIO】Integrated 2.4GHz Wi‑Fi + Bluetooth 5 (LE); dedicated audio decoding module for natural, responsive voice interaction.
- 【USER‑FRIENDLY VISUAL & PLUG‑AND‑PLAY】2” TFT‑SPI color screen shows real‑time chat; modular design, no extra wiring, ready to use after setup.
- 【FULL LEARNING SUPPORT】45 programmable GPIOs, rich interfaces, online web tutorials, free technical support for beginners & developers.
They are not, on their own, proof of suitability for a particular production environment. The event information does not provide independent performance results, detailed power figures, latency measurements, reliability data or qualification details. Before selecting a system, an engineering team should validate the target workload on the intended hardware and confirm host compatibility, model support, software maintenance, environmental requirements and product availability with the supplier.
DEEPX’s stated ambition
A DEEPX representative, not named in the announcement, said: “Through mass production collaborations with hardware leaders like Renesas and Raspberry Pi, as well as software standard companies like Baidu and Ultralytics, DEEPX aims to become the ‘physical AI hardware standard’ that developers worldwide choose first.” This is the company’s stated ambition; the event description does not provide further detail about a Baidu demonstration.
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