Edge AI Dev Kits
Browse edge AI dev kits — Coral, Jetson, Hailo, and similar hardware for on-device inference.
56 devices
AI Kit
M.2 Hailo-8L accelerator bundle for Raspberry Pi 5, bringing ~13 TOPS of neural inference to hobby and edge robotics projects.
Adapter Board for Google Coral dev Board,Toradex,Wandboard,i.MX8m. (ADP-TWG)
adapter board for VEYE/CS Series Open source driver and demo; Detailed documentation;Support Coral dev board Suitable for machine vision, intelligent analysis, industrial control, face recognition, ADAS etc... Pls refer to veye.cc for more info
Coral Dev Board
A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SoM).
Coral Dev Board Mini
Compact board built around the Edge TPU for low-power on-device inference—common in custom vision and sensor fusion prototypes.
Coral Dev Board Mini
The Coral Dev Board Mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. This board can also serve as an evaluation device for the Coral Accelerator Module, which allows you to integrate the Edge TPU into your custom PCB hardware as a surface-mounted module. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection. Technical specifications: MediaTek 8167s SoC (Quad-core Arm Cortex-A35), IMG PowerVR GE8300 integrated GPU, ARM TrustZone Security, Wi-Fi 5, Bluetooth 5.0, 8 GB eMMC, 2 GB LPDDR3, USB 2.0 Type-C OTG, HDMI 1.4a (micro), MIPI DSI display, MIPI CSI camera, 3.5 mm headphone jack, Digital PDM microphone, 2.54mm 2-pin mono speaker terminal, 40-pin GPIO expansion…
Coral Mini PCIe Accelerator,G650-04528-01,SOM-Edge TPU ML Compute Accelerator,90AN00I2-B0XAY0
Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
ELECROW AI Starter Kit for Jetson Orin Nano, 30 Sensors No Soldering Board, 8MP IMX219 Gimbal Camera, 11.6" IPS Screen, 38 Python Tutorials with AI Voice Interaction (Without Jetson Orin Nano Board)
30-in-1 No-Solder Sensor Board, Plug and Play: Integrates 30 functional sensors including temperature & humidity, ultrasonic ranging, gas and motion sensors. Innovative common board design requires no soldering or complex wiring, and comes with a full set of accessories like 128G SD card, adapter board and acrylic mounting plates for zero-threshold experiments 8MP Gimbal Camera & Dual Servos for Professional Visual AI: The Starter Kit is equipped with an IMX219 8MP monocular camera and a dual-servo gimbal, supporting face and target tracking, and is ideal for AI edge computing scenarios such as intelligent monitoring, robot navigation, and automated recognition 38 Step-by-Step Python Tutorials, From Beginner to Practical Application: The Jetson Orin Nano Starter Kit comes with 38 well-designed Python tutorials progressing from basic programming to vision practice, covering all key knowledge of sensor control, embedded development and AI visual recognition for both beginners and advanced learners 11.6-inch IPS HD Screen & AI Voice Interaction System: Built-in 1366*768 resolution IPS screen eliminates the need for an external monitor, enabling one-device experimentation and visual…
ESP32-C6-DevKitC-1-N8 Development Board
ESP32-C6 general-purpose development board, based on ESP32-C6-WROOM-1. It has all the ESP32-C6 pins exposed and is easy to connect and use. Most of the I/O pins are broken out to the pin headers on both sides for easy interfacing. Developers can either connect peripherals with jumper wires or mount ESP32-C6-DevKitC-1 on a breadboard.
ESP32-DevKitC-VE Development Board
ESP32-DevKitC is an entry-level development board. It has all the ESP32 pins exposed and is easy to connect and use.
Freenove Raspberry Pi Pico 2 W Board Pre-Soldered Header, Dual Arm Cortex-M33 and Dual Hazard3 RISC-V Microcontroller, Development Board, Tutorial Example Projects
Purchase Options: Raspberry Pi Pico (2) W has wireless LAN and Bluetooth, Raspberry Pi Pico (2) does not. This option includes the Raspberry Pi Pico 2 W board. Overview: This latest upgraded board has a higher core clock speed, double memory, more powerful Arm cores, optional RISC-V cores. Allows users to choose between dual industry-standard Arm Cortex-M33 cores and dual open-hardware Hazard3 cores. We provide free technical support to help you with any questions and problems. Tutorial and Code: Comes with detailed tutorial and MicroPython, C, Processing (Java) code. (Download needed, no paper tutorial.) Including basic electronics knowledge and dozens of projects (need extra items). The download link can be found on the product box. Technical Specifications: Switchable dual Arm Cortex-M33 and dual Hazard3 RISC-V processors Up to 150 MHz flexible clock 520 KB on-chip SRAM 4 MB on-board QSPI flash 26 x multifunction GPIO pins 24 x PWM 3 x ADC 2 x UART 2 x SPI 2 x I2C 2.4 GHz 802.11n wireless LAN Bluetooth 5.2 Package Includes: 1 x Raspberry Pi Pico 2 W board (with pre-soldered header) 1 x USB cable 1 x Pinout card 2 set Pinout stickers
GeeekPi AI HAT+ Build-in Hailo AI Accelerator with Metal Case & Active Cooler for Raspberry Pi 5 (26 Tops)
This kit includes an AI HAT+, a metal case and an active cooler. It's compatible with Raspberry Pi 5. The Raspberry Pi AI HAT+ features a built-in neural network accelerator, turning your Raspberry Pi 5 into a high-performance, accessible, and power-efficient AI machine.The 26 TOPS variant capably runs neural networks for applications including object detection, semantic and instance segmentation, pose estimation, and more. The AI HAT+ communicates using Raspberry Pi 5’s PCIe Gen 3 interface. When the host Raspberry Pi 5 is running an up-to-date Raspberry Pi OS image, it automatically detects the on-board Hailo accelerator and makes the NPU available for AI computing tasks. The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI module, automatically using the NPU to run compatible post-processing tasks. Conforms to Raspberry Pi HAT+ specification; Supplied with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place. The metal case can protect the Raspberry Pi 5 board from damage, dust and scratches. It can access most ports, including usb-c power jack, micro HDMI ports, usb ports…
Google Coral Environmental Sensor Board
The Environmental Sensor Board is an add-on board (also known as a pHAT or bonnet) that adds sensing capabilities to your Coral Dev Board or Raspberry Pi projects. (It includes an EEPROM for compatibility with Raspberry Pi boards.)The board provides atmospheric data such as light level, barometric pressure, temperature, and humidity. You can also attach additional sensors with the Grove connectors.The board also includes a secure cryptoprocessor with Google keys to enable connectivity with Google Cloud IoT Core services, allowing you to securely connect to the device and then collect, process, and analyze the sensor data.The board must be connected to a host with I2C, SPI, and 3.3V power. The 40-pin GPIO header and provided software are designed to work with the Coral Dev Board or Raspberry Pi (running Mendel Linux or Raspberry Pi OS, respectively).
Google Coral USB Accelerator: ML Accelerator, USB 3.0 Type-C, Debian Linux Compatible
A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers
Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way. Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator. Edge TPU key benefits: High speed TensorFlow Lite inferencing Low power Small footprint Features Google Edge TPU ML accelerator coprocessor USB 3.0 Type-C socket Supports Debian Linux on host CPU Models are built using TensorFlow. Fully supports MobileNet and Inception architectures though custom architectures are possible Compatible with Google Cloud Specifications Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed) Included cable is USB Type-C to Type-A…
Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 Support Linux/Windows Systems Based On The 26TOPS Hailo-8 AI Processor
Features At A GlanceHailo-8 AI M.2 modulePowered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor2.5W typical power consumptionScalable,enabling simultaneous processingof multi-streams & multi-modelsEnabling real-time, low latency and high-efficiency AI inferencing on the edge devicesSupports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworksSupports Linux and WindowsSupports the temperature range of -40°C to 85°CPCIe To M.2 adapterOnboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operationRaspberry Pi HAT+ compliantReserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performanceImmersion gold process design, anti-oxidation and more durableHailo-8 AI M.2 Module ParametersAI performance: 26 TOPS Form Factor: M.2 Key MPower supply: 3.3V ± 5%Power consumption: 2.5W (Typ.) 8.65W (Max.)Interface: PCIe Gen3, 4-laneCertificate: CE, FCC Class AStorage temperature: -40 ~ 85°COperating temperature: -40 ~ 85°COperating humidity: 5% ~ 90%RH (no frosting)Dimensions: 22×80mm with breakable extensions to22×42mmand 22×60mmEquipped with Hailo-8 AI…
Jetson AGX Orin 64GB Developer Kit 275 Tops, with Ethernet,USB Display Port Provides AI Large Models Deploying Openclaw
AGX Orin 64GB Development Kit makes it easy to get started with AGX Orin. Its compact size, rich interfaces, and AI performance of up to 275 TOPS make it ideal for building advanced AI robots and other autonomous machine prototypes. The development kit includes AGX Orin 64GB module and can emulate all Orin modules. It utilizes the Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth. You can leverage the largest and most complex AI models to develop solutions for problems such as natural language understanding, 3D perception, and multi-sensor fusion. Jetson runs AI software and provides application frameworks for specific use cases, such as Isaac for robotics, DeepStream for visual AI, and Riva for conversational AI. Using Omniverse Replicator for Synthetic Data Generation (SDG) can save you significant time; while fine-tuning pre-trained AI models from the NGC catalog using the TAO toolkit can further enhance your results. Yahboom offers four kits for users to choose from. The AIlarge model voice module utilizes examples of AI large models and multimodal models; it provides 1TB/2TB SSDs with pre-flashed…
KKSB Case for Coral Dev Board Mini
DESIGNED IN SWEDEN: This new KKSB Coral Dev mini case is made of aluminium with a powder-coated black cover and an anodised grey base. The case provides highly efficient passive cooling and keeps the board at the optimum temperature range. The case offers protection: the Coral Dev mini aluminium housing is a safety-optimised hardware, which protects the board against possible falls or influences from the outside. For projects that take place outdoors, but also for indoor projects, the Coral Dev mini board must be particularly well protected. The lower part of this two-piece locking case has labelled cut-outs for CSI, DSI, MicroSD slot, headphone jack and speaker. Silent efficient cooling: our cooling experts in Sweden have placed special emphasis on optimal cooling efficiency and compatibility in the development of the KKSB Coral Dev mini aluminium housing. The cover has air vents for optimal ventilation and labelled cut-outs for Coral Dev Board mini ports and ports, including the external power switch. The case also has a cut-out for cables that connect to the GPIO header. Very easy to install: the two parts are plugged together without screws and only with the lid and base. The…
KKSB Coral Dev Board Case | Black and Grey Aluminum Enclosure with Space for Coral Dev Heatsink Fan
PREMIUM HOUSING: Exclusively for the Google Coral Dev Board, our cooling experts in Sweden have developed the cooling housing, which is made of aluminum. It's a two-piece case that's easy to assemble. With a modern black and white combination, our case ensures stunning aesthetics. SILENT EFFICIENT COOLING: During the development of the Google Coral Dev Board case, special emphasis was placed on optimal cooling efficiency and compatibility. The case body acts as an effective heat sink and perfectly protects your single-board computer from thermal problems in difficult temperature environments or when the CPU is overclocked. 100% COMPATIBILITY: All connections of the Google Coral Dev Board are freely accessible and can be reached without any problems. Good WiFi and Bluetooth reception. VERY EASY TO ASSEMBLE: Thanks to the snap-on assembly of the lid and base, assembly is very easy. 4 non-slip rubber feet ensure a secure grip on any surface. 2 mounting holes (compatible with VESA 75 mm) can be used to attach the housing to the wall or other surface. SCOPE OF DELIVERY & SUPPORT: You will receive a Google Coral Dev Board case black/white. If you have any questions or need help, our…
LAFVIN AI Chatbot Kit for ESP32-S3, Preloaded OpenAI & Deepseek Voice Assistant Projects, Voice Wake-up & Real-time Interruption, Suitable for Learning AI and IoT Projects.
LAFVIN ESP32S3 AI Chatbot Kit is a professional all‑in‑one development platform built around the high‑performance ESP32‑S3 chip, designed for learning AI voice interaction, embedded systems, and IoT applications. It comes pre‑programmed with projects supporting Deepseek and OpenAI, allowing you to build a working intelligent voice assistant with minimal setup. Note: To use the OpenAI version, you need to purchase and configure your own OpenAI API-Key.
MX3 M.2 AI Accelerator
The MemryX MX3 M.2 AI Accelerator is a powerful and efficient AI accelerator designed to unleash your computer's or Raspberry Pi's full potential for machine vision tasks. With its cutting-edge architecture and optimized performance, the MX3 delivers exceptional speed and efficiency for a wide range of AI workloads. The M.2 AI Accelerator is compatible with the M.2 M-key 2280 specification.
N-VIDIA Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Jetson ORIN Nano Developer Kit for Embedded and Edge Systems (8G Official-Basic Kit)
【NVIDIA Orin Nano core parameters】★AI performance: 67 TOPS ★GPU: 1024-core N-VI-DIA Ampere architecture GPU, 32 Tensor Cores ★CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory: Memory 4GB/8GB 128-bit LPDDR5 ★Memory: SD card slot compatible with external NVMe. 【Rich interfaces and high performance】The built-in M.2 Key E wireless network module provides a more stable transmission speed and supports 1000Mbps Ethernet, meeting the needs of various network applications. Adopts PWM adjustable fan, active heat dissipation, and efficient heat dissipation design. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of applications】Suitable for AI robots, drone data processing, urban road recognition, medical data…
NVIDIA Jetson AGX Orin 64GB Developer Kit with Ethernet, USB, Display Port
Jetson AGX Orin 64GB Dev Kit
NVIDIA Jetson Orin Nano
Entry-level edge AI module for robotics and computer vision, running CUDA and TensorRT on a compact power envelope.
NVIDIA Jetson Orin Nano Super Developer Kit
The NVIDIA Jetson Orin™ Nano Super Developer Kit is a compact, yet powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance—a 1.7X improvement over its predecessor—to seamlessly run all kinds of generative AI models, like vision transformers, large language models, vision-language models, and more. At just $249, it provides developers, students, and makers with the most affordable and accessible platform with the support of the NVIDIA AI software and a broad AI software ecosystem to democratize generative AI at the edge. Existing Jetson Orin Nano Developer Kit users can experience this performance boost with just a software upgrade, so everyone can now unlock new possibilities with generative AI. The developer kit comprises a Jetson Orin Nano 8GB module and a reference carrier board that can accommodate all Orin Nano and Orin NX modules, providing an ideal platform for prototyping your next-gen edge AI product. The Jetson Orin Nano 8GB module features an Ampere GPU and a 6-core ARM CPU, enabling multiple concurrent AI application pipelines and high-performance inference. The carrier board boasts a wide array of…
NVIDIA Jetson Xavier NX Developer Kit (812674024318)
The NVIDIA Jetson Xavier NX developer kit includes a power-efficient, compact Jetson Xavier NX module for AI edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, Jetson TX2. The capability to develop and test power-efficient, small form-factor solutions with accurate, multi-modal AI inference opens the door for new breakthrough products. Developers can now take advantage of cloud-native support to transform the experience of developing and deploying AI software to edge devices. Pre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, provide a faster path to inference with optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. The developer kit is supported by the entire NVIDIA software stack, including accelerated SDKs and the latest NVIDIA tools for application development and optimization. When combined with Jetson Xavier NX, this powerful stack helps you create innovative solutions for manufacturing, logistics, retail, service, agriculture, smart city…
Official Jetson AGX Orin 64GB Developer Kit 275 Tops, with 1TB SSD AI Embodied Intelligence Development Provides AI Large Models Deploying Openclaw
AGX Orin 64GB Development Kit makes it easy to get started with AGX Orin. Its compact size, rich interfaces, and AI performance of up to 275 TOPS make it ideal for building advanced AI robots and other autonomous machine prototypes. The development kit includes AGX Orin 64GB module and can emulate all Orin modules. It utilizes the Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth. You can leverage the largest and most complex AI models to develop solutions for problems such as natural language understanding, 3D perception, and multi-sensor fusion. Jetson runs AI software and provides application frameworks for specific use cases, such as Isaac for robotics, DeepStream for visual AI, and Riva for conversational AI. Using Omniverse Replicator for Synthetic Data Generation (SDG) can save you significant time; while fine-tuning pre-trained AI models from the NGC catalog using the TAO toolkit can further enhance your results. Yahboom offers four kits for users to choose from. The AIlarge model voice module utilizes examples of AI large models and multimodal models; it provides 1TB/2TB SSDs with pre-flashed…
Official Raspbery Pi AI HAT+, Build-in 26 Tops Hailo-8 AI Accelerator to Quickly Build A Wide Range of AI-Powered Applications, High-Performance AI HAT Suitable for Raspbery Pi 5 (RPi AI HAT+ (26T))
Key Features ● Hailo-8 accelerator offering 26 TOPS inferencing performance respectively. ● Fully integrated into Raspbery Pi's camera software stack. ● Conforms to Raspbery Pi HAT+ specification. ● Comes with 16mm stacking header, spacers, and screws to enable fitting on Raspbery Pi 5 with Raspbery Pi Active Cooler in place. ● Operating temperature: 0℃ ~ 50℃ (ambient). Specifications Model: RPi AI HAT+ (26T) Neural Network Accelerator: Hailo-8 AI performance (INT8): 26 TOPS Frameworks: Support TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch OS Support: Raspbery Pi OS latest version Software Support: Fully integrated into Raspbery Pi's camera software stack Host Support: RPi 5 Operating Temperature: 0℃ ~ 50℃ (ambient) Dimensions: 56.5(W) × 65(L) × 5.5(H) (mm) PCIe Interface: Compatible with Raspbery Pi 5 PCIe Gen 3 interface HAT Standard: Conforms to Raspbery Pi HAT+ specification Package Content 1. RPi AI HAT+ 26TOPS x1 2. 16mm stacking header x1 3. Screws pack x1
Orange Pi 5 Pro 4GB/8GB/16GB LPDDR5 Rockchip RK3588S 8-Core 64-Bit Single Board Computer with eMMC Socket, WiFi 5/Bluetooth 5.0, Development Board Run Ubuntu/Debian/Android (16GB)
Hardware ParametersSOC: Master ChipRockchip RK3588S (8nm LP process)CPU: 8-core 64-bit processorbig.LITTLE Architecture: 4-core Cortex-A76 and 4-core Cortex-A55, big core cluster is 2.4GHz, and little core cluster is 1.8GHz frequency.GPU: Arm Mali-G610 Built-in 3D GPU Compatible with OpenGL ES1.1/2.0/3.2, OpenCL 2.2 and Vulkan 1.2NPU: Embedded NPU supports INT4/INT8/INT16 mixed operation, with up to 6TOPS computing powerPMU: RK806-1RAM: LPDDR5 496PIN：4GB/8GB/16GB (optional)Memory: eMMC socket: supports eMMC module (optional) SPI Flash (default empty)Note:either eMMC socket or on-board SPI Flash is preferred. MicroSD (TF) slot M.2 M-KEY slot: NVMe SSD or SATA SSDUSB: USB3.1 Gen1 * 1;USB2.0 1；USB HUB:USB2.0 2（TYPE A）+UAB2.02 row of pinsVideo Output: HDMI2.1 up to 8K @60Hz HDMI2.0, up to 4K @60Hz MIPI DSI 4 Lane, up to 4K @60HzCamera:2MIPI 4 LaneAudio: CODEC: ES8388 3.5mm headphone jack audio input/output Input: onboard MIC HDMI 2.1 eARCEthernet: 10/100/1000Mbps Ethernet with PoE+ support (PoE+ HAT required)Wi-Fi+BT Module: Onboard Wi-Fi5+BT 5.0/BLE module: AP6256PCIe M.2 M-KEY Socket: M.2 M-Key slot supports access to NVMe SSD or SATA SSDExpansion Port: Dual-row pin: 2.54mm…
Pironman 5 Pro Max Mini PC Case with 4.3” Touch Screen for Raspberry Pi 5, OpenClaw AI Agent, Dual NVMe RAID 0/1 NAS, Camera, Mic, Audio, M.2 Hailo8, LLMs ChatGPT/Gemini (RPI5 Not Included)
Pironman 5 Pro Max is the ultimate interactive case for Raspberry Pi 5. With a 4.3" screen, adjustable camera, USB microphone, and built-in audio amplifier, it turns Raspberry Pi 5 into a powerful AI desktop platform. Powered by multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, and Ollama, and supporting OpenClaw for building your own personal AI agent. Featuring dual NVMe with RAID 0/1 support, a PCIe Gen2 switch, and M.2 Hailo-8/8L compatibility, it's ideal for NAS, edge AI, development, gaming, and smart home projects. Complete with tower cooling, PWM RGB fans, a smart OLED display, dual full-size HDMI, and USB-C power. (Raspberry Pi 5, SSD, and Hailo-8/8L NOT included.) Interactive All-in-One Desktop Experience. The built-in 4.3” IPS capacitive touch screen, camera, speaker amplifier, and USB microphone transform Raspberry Pi 5 into a true all-in-one interactive system. Perfect for development, retro gaming, multimedia centers, smart home control panels, AI projects and learning, and 3D printer monitoring — bringing visual control, voice interaction, and real-time feedback directly to your desktop Dual Expandable NVMe M.2 Slots: Supercharge your Raspberry Pi 5 with two…
Raspberry Pi AI HAT+ 13Top Artificial Intelligence Hailo-8 or Hailo-8L Accelerator (8L-13TOP AI HAT+)
【Provide 13/26TOPS power】Two AI computing powers are available to provide Raspberry Pi 5 with better AI acceleration performance and unprecedented AI performance for edge devices. 【Build a model world】By supporting common frameworks such as TensorFlow and PyTorch, RaspberryPi AI HAT+ allows you to build a variety of AI-driven applications for process control, home automation, research, etc. 【Camera stacking】RaspberryPi AI HAT+ is fully integrated into the RPi's camera software stack, using the neural network accelerator to run post-processing tasks such as object detection, image segmentation, and pose estimation. 【Adaptability】Supports stacking installation with Pi 5, supports installation of active heat sinks, and supports installation of Yahboom's cool cooler pi. It is recommended to use with a heat sink to effectively avoid overheating problems caused by high-load computing. Ensure that the AI acceleration module is fully cooled to improve performance. 【Provide techn support】We provide a series of accessories for RaspberryPi 5 peripherals, and provide high-quality after-sales technical support services. If you encounter problems during use, please…
ReComputer J3010-Edge AI Device, NVIDIA Jetson Orin Nano 4GB, 4xUSB 3.2, WiFi/BT, M.2 Key E
Brilliant AI Performance for production: The reComputer J3010 is equipped with the same NVIDIA Jetson Orin Nano 5GB production module. You can perform a self - upgrade to Jetpack 6.2. Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 20 Tops to 34 Tops, offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit. Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin Nano 4GB production module, a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere Expandable with rich I/Os: 4x USB3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN and GPIO Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack 5.1.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, WiFi BT combo module, Antennas x2, support Jetson software and leading AI frameworks and software platforms Comprehensive certificates: FCC, CE, RoHS, UKCA 【Note】Power adapter needs to be purchased separately
SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard M.2-2280-B-M-S3 (B/M Key)
Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Sipeed Tang Mega 138K Pro Dock GW5AST RISC-V FPGA Development Board Kit, 1GB DDR3 Single Board Computer, onboard PCIe3.0 SFP SFP+ GbE PMOD Port for AI Development Education FPGA Programming
-Technical Support-Software Development Documentation:Software Development SDKPlease click "WayPonDEV" and ask a question.Please leave the message "wpd#youyeetoo&com (#--->@,&--->.)" or skype: monica_9122.
Starter Kit for reComputer Classic/Industrial/Super Series
A compact, high-performance Wi-Fi Kit for reComputer Classic/Industrial series.
SunFounder AI Fusion Lab Kit for Raspberry Pi 5/4/3B+/Zero 2w, LLMs ChatGPT/Gemini/Grok, YOLO&OpenCV & MediaPipe, Python, Video Courses for Beginners Engineers
All-in-One AI Learning Lab Powered by Raspberry Pi & Multi-LLMs. Turn Raspberry Pi (5 / 4B / 3B+ / 3B / Zero 2W) into a complete AI learning lab with support for multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama. Includes Pan-Tilt HAT,10-axis (10DOF) module, camera, and high-quality components. Learn AI through guided video lessons created with educator Paul McWhorter. (Raspberry Pi not included) Build Fun Multi-Modal AI Projects with Voice, Vision & Sensors. Combine sensors, breadboard circuits, Multi-LLMs, voice recognition, and camera vision to create engaging multi-modal AI projects. Learn STT and TTS through hands-on programming, turning abstract AI concepts into interactive projects you can see, hear, and control—perfect for AI beginners AI Vision Tracking with YOLO, OpenCV, MediaPipe & Pan-Tilt HAT. Create intelligent vision projects using OpenCV and MediaPipe to detect and track objects, colors, and human movements. The Pan-Tilt HAT allows your projects to actively follow targets, helping learners understand how AI vision and motion work together in real systems Fusion HAT+ Power System with Voice AI Interaction. The Fusion HAT+ provides power…
TUOPUONE AI Kit Designed for Raspberry Pi 5, Hailo AI Acceleration Module with Raspberry Pi M.2 HAT+, 13Tops Computing Power (Raspberry Pi 5 AI Kit)
Introduction The Raspberry Pi AI Kit Bundles The Raspberry Pi M.2 HAT+ With A Hailo AI Acceleration Module For Use With Raspberry Pi 5. Features ● Contains a Hailo AI module with Neural Processing Unit (NPU), with onboard Hailo-8L chip capable of 13 tera-operations per second (TOPS). ● Raspberry Pi M.2 HAT+ supports connecting the AI module to the Raspberry Pi 5. ● Thermal pads are pre-installed between the module and the M.2 HAT+. ● Support hardware kit installation. ● Onboard 16mm stacked GPIO connector. PACKAGE CONTENT 1. Raspberry Pi AI Kit ×1
TUOPUONE AI Kit, Compatible with Raspberry Pi 5, Bundle with Raspberry Pi AI HAT+ 13T, PI5-IMX219-77 Camera, Cooler, 64GB TF Card, Cable and Other Accessories Items (PI5 AI Acce C)
This kit is NOT include Pi5, equipped with 13 TOPS computing power Official Raspb Pi AI HAT+ (13T), 8MP IMX219-77 Camera, 27W power supply, 64GB TF card, HDMI to Micro HDMI cable, RPi 5 active cooler, card reader, and Ethernet cable, suitable for applications that require AI function. Key features include: ● Hailo-8L accelerator offering 13 TOPS inferencing performance respectively. ● Fully integrated into Raspberry Pi's camera software stack. ● Conforms to Raspberry Pi HAT+ specification. ● Comes with 16mm stacking header, spacers, and screws to enable fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler in place. ● Operating temperature: 0℃ ~ 50℃ (ambient). Package Content 1. Raspberry Pi AI HAT+ 13T ×1 2. PI5-IMX219-77 camera ×1 3. Ethernet cable ~1.5m ×1 4. HDMI to Micro HDMI cable ~1m ×1 5. Pi5-Active-Cooler-B ×1 6. TF card 64GB ×1 7. TF card reader ×1 8. 27W power supply x1
Vilros Raspberry Pi 5 AI Kit (8GB RAM-26 Tops)
The Vilros Raspberry Pi 5 AI Kit Provides a full set of hardware needed to get up and running with your AI Projects. Kit Includes: Raspberry Pi 5 (Choose Capacity) Raspberry Pi AI HAT+ (Choose TOPS Capacity) Raspberry Pi 5 Active Cooler 128GB Micro SD Card Preloaded W/ Raspberry Pi OS Vilros Raspberry Pi 5 + Hat Compatible Case Vilros 27W -5V/5A Raspberry Pi 5 Compatible USB-C Power Supply Vilros Micro HDMI to Standard HDMI Cables (5ft) Vilros Neoprene Parts Storage Case Bag With Pocket Vilros Micro SD to USB Adapter
Visionfive2 Hailo RISC-V Linux AI Single Board Computer Kit, Hailo-8L M.2 AI Acceleration Modules Kit, StarFive JH7110 CPU LPDDR4 8GB RAM, Dual Gigabit Network, 4K HDMI Display (Bundle4)
-Specification-Processor：StarFive JH7110 with RISC-V U74 quad-core with 2 MB L2 cache and S7 monitor core, supporting RV64GC ISA, working up to 1.5 GHzIMG BXE-4-32 MC1 with work frequency up to 600 MHz (400 MHz by default)Memory: 8GB LPDDR4 (up to 2800Mbps)Storage: Onboard TF card slot; Flash-Video Output-1 × 2-lane MIPI DSI display port, supporting up to 1080p@30fps1 × 4-lane MIPI DSI display port, supporting up to 2K@30fps in both single display and dual display modes1 × HDMI 2.0, supporting up to 4K@30fps or 2K@60fpsCamera：1x 2-lane MIPI CSI camera port, supporting up to 4K (3840 x 2160) pixels @30fps-Encoder/Decoder-Video Decoder supports up to 4K@60fps; Support multi stream for H264/H265Video encoder supports up to 1080p@30fps and multi-stream for H265JPEG encoder/decoder-Peripherals-2 x USB 3.0 ports; 2 x USB 2.0 ports40 Pin GPIO Header (28 x GPIO, I2C, I2S, SPI, UART)2x RJ45 Ethernet Connector; Not WIFI3.5 mm Audio jack (4-pole stereo audio output)M.2 Connector；eMMC Socket；2 pin fan headerMicro-SD card slot for system boot and data storagePower Supply：Power 5V DC with PD, up to 30WPower Connector：USB Type-C port or 40-pin GPIO header-Dimension-100mm x 72 mm x…
Waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Comes with PCIe to M.2 Adapter Board
✅Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption ✅Scalable, enabling simultaneous processing of multi-streams & multi-models ✅Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices ✅Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks ✅Supports Linux and Windows. Supports the temperature range of -40°C to 85°C ❤️Rich WiKi Resources❤️ We provide official Wiki resources, please contact us for more information.
Waveshare Jetson AGX Orin Developer Kit, Server-Class AI Performance At The Edge, Up to 275 Tops 64GB Memory
Provide online user manual, please check the manual carefully before using The NV Jetson AGX Orin Developer Kit includes a high-performance, power-efficient Jetson AGX Orin module with options for 32GB/64GB memory, up to 275 TOPS and 8X the performance of the last generation for multiple concurrent AI inference pipelines, for running the NV AI software stack. This developer kit lets you create advanced robotics and edge AI applications for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences. The Jetson AGX Orin provides 8X the performance of Jetson AGX Xavier with the same compact form factor and compatible pinouts, integrating NV Ampere architecture GPU, Arm Cortex-A78AE CPU, next-generation deep learning and vision accelerator. High-speed interface, faster memory bandwidth, and multi-mode sensor support, for supporting multiple concurrent AI application channels.
Waveshare Jetson Orin NX AI Development Kit for Embedded and Edge Systems, with 16GB Memory Jetson Orin NX Module Kit A
This kit includes the Orin NX Module with 16GB memory, IMX219-77 Camera (with FFC cable) x1, no built-in storage module, provides up to 100 TOPS AI Performance. Comes with a Free 256 GB NVMe Solid State Drive, high-speed reading/writing, meet the needs of large AI project development. This kit also comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication. Based on Jetson Orin NX Module, with JETSON-IO-BASE-B base board, providing rich peripheral interfaces such as M.2, HDMI, USB, etc., which is more convenient for users to realize the product performance. For reference only, the actual appearance of the Solid State Drive may be different
Waveshare Jetson Orin NX AI Development Module, System-On-Module, Nano Size
Advanced AI Computer For Smaller, Lower-Power Autonomous Machines Jetson Orin NX module delivers up to 100 TOPS and 5X the performance of the last generation for multiple concurrent AI inference pipelines With high-speed interface support for multiple sensors, it is an ideal solution for a new age of robotics. Jetson Orin NX module delivers up to 100 TOPS of AI performance in a compact and small form factor, with power configurable between 10W and 25W Up to 3X the performance of Jetson AGX Xavier and 5X the performance of Jetson Xavier NX.
Waveshare Jetson Orin Nano/NX AI Development Board, Based On Jetson Orin Nano and Jetson Orin NX Module, Compatible with Jetson Orin Super Carrier Board
This product is only a baseboard and needs to be used with a core module. Jetson Orin Nano/NX Super Carrier Board – Designed for Jetson Orin Nano/NX AI Modules, Compatible with NV Jetson Orin Nano Super Official Kit Carrier Board. Compatible with Jetson Orin Nano/NX Super Core Modules, featuring five USB ports, two M.2 Key M slots, and one M.2 Key E slot. 2× 4-Lane CSI Camera Ports For AI Applications Such As Face Recognition, Road Sign Recognition And License Plate Recognition Supports Connecting To More Peripherals, USB 3.2 Gen 2 Ports For Data Transmission Up To 10Gbps, And The Type-C Port Can Be Used For System Burning Supports DP High-Definition Port. Onboard 2× M.2 Key M Ports For Easy Connecting Solid State Drives And 1× M.2 Key E Interface For Connecting Wireless NIC, Which Can Reduce Cable Connection Color-Coded Header Pins To Differentiate IO Resources Such As I2C, SPI, I2S, UART, GPIO, Etc.
Waveshare Luckfox Pico Pi Linux Micro Dev Board, Core1106, 8GB eMMC, Intelligent Encoding Support, Built-in ISP3.2, Up to 5MP Image Processing, with Wireless, RV1106G3
This item is available in several options. The selected option includes the board and wireless module. The board features the RV1106G3 processor, 1TOPS NPU, and 256MB DDR3L memory. It also comes with an onboard Wi-Fi 6 module and Bluetooth 5.2/BLE, providing stable connections and efficient data transmission. Cost-Effective and Efficient: The Luckfox Pico Pi offers an affordable Linux micro development board, powered by the Luckfox Core1106 chip, providing a simple platform for developers to create and test embedded applications. Versatile Interface Support: Supports multiple interfaces including MIPI CSI, GPIO, UART, SPI, I2C, USB, and an M.2 slot for 4G module, making it suitable for a wide range of embedded and IoT applications. Ideal for Embedded Applications: With support for wireless connectivity and various interfaces, the Luckfox Pico Pi is perfect for applications in automation, robotics, smart devices, and more. Onboard M.2 slot for 4G Module The USB-A-4 port can be switched to 4G module M.2 slot via DIP switch, Supports SIM7600G-H-M.2 4G module
Waveshare PI5-8GB AI Kit, Compatible with Raspberry Pi 5, Bundle with PI5-8GB, Hailo-8 Acce A, 64GB TF Card, Cooler, Cable and so on (9 Items)
There are several options for this item, this option is PI5-8GB AI Kit B (US), including PI5-8GB, Hailo-8 Acce A, 64GB TF Card, Cooler, Cable and so on (9 Items). For more details, please click the image2 to check the package content. Raspberry Pi 5 is the latest generation flagship product in the Raspberry Pi series, following the success of the Raspberry Pi 4. It provides a 2-3x increase in CPU performance over the previous generation. Onboard dual CSI/DSI ports and USB connectors which are provided by the Raspberry Pi RP1 I/O controller. And this is the first Raspberry Pi computer using silicon built in-house at Raspberry Pi. 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, 512KB per-core L2 caches and a 2MB shared L3 cache. VideoCore VII GPU @800MHz, supporting OpenGL ES 3.1, Vulkan 1.2. Dual 4Kp60 HDMI display output 4Kp60 HEVC decoder. LPDDR4X-4267 SDRAM (options for 4GB/8GB). 2.4GHz/5GHz dual-band 802.11ac Wi-Fi. Bluetooth 5.0 / Bluetooth Low Energy (BLE). TF card slot, with support for high-speed SDR104 mode 2 × USB 3.0 ports, supporting simultaneous 5Gbps operation. Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT). 2 × 4-lane MIPI DSI/CSI port. PCIe 2.0 x1…
Yahboom Jetson Orin NX 16GB RAM AI 157TOPS Development Kit IMX219 CSI Camera 256GB SSD for ROS2 Programming Support Super Update (Orin NX 16GB Came Adv Kit)
【Core Parameters】★AI Perf: 117/157 TOPS★GPU: 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor Cores★CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3★Memory: 16GB 128-bit LPDDR5 | 102.4GB/s★Storage: Supports external NVMe. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Revolutionize the Industry】Jetson Orin NX modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package. 【Revolutionizing AI with Unmatched Performance】The…
Yahboom Jetson Orin NX 8GB 117TOPS Development Kit for AI Edge Provide ROS Programming Courses Based on Core Module Ubuntu22.04 (Orin NX 8GB Basis Kit)
【Core Parameters】★AI Perf: 117/157 TOPS★GPU: 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor Cores★CPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3★Memory: 16GB 128-bit LPDDR5 | 102.4GB/s★Storage: Supports external NVMe. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Revolutionize the Industry】Jetson Orin NX modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package. 【Revolutionizing AI with Unmatched Performance】The…
Yahboom Jetson Orin Nano 8GB RAM Super Board(Official) 67Tops Development Board Kit for Embedded Edge Systems Deploying OpenClaw
【Orin Nano core parameters】★AI performance: 67 TOPS ★GPU: 1024-core N-VI-DIA Ampere architecture GPU, 32 Tensor Cores ★CPU: 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory: Memory 4GB/8GB 128-bit LPDDR5 ★Memory: SD card slot compatible with external NVMe. 【Rich interfaces and high performance】The built-in M.2 Key E wireless network module provides a more stable transmission speed and supports 1000Mbps Ethernet, meeting the needs of various network applications. Adopts PWM adjustable fan, active heat dissipation, and efficient heat dissipation design. 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications. 【Wide range of applications】Suitable for AI robots, drone data processing, urban road recognition, medical data…
reComputer J3011 - Edge AI Computer with NVIDIA Jetson Orin Nano 8GB (Support Super Mode
Brilliant AI Performance for production: The reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self - upgrade to Jetpack 6.2. Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 Tops to 67 Tops, offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit. Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin Nano 8GB production module, a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere Expandable with rich I/Os: 4x USB3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN and GPIO Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, WiFi BT combo module, Antennas x2, support Jetson software and leading AI frameworks and software platforms Comprehensive certificates: FCC, CE, RoHS, UKCA 【Note】Power adapter needs to be purchased separately
reComputer Robotics J5011 with GMSL - Ultra-Advanced Edge AI Computer with NVIDIA Jetson AGX Orin 32GB
reComputer Robotics J5011 is a power edge box with NVIDIA Jetson AGX Orin 32GB module. It features rich IOs, such as USB, Ethernet, CAN, RS-232/422/485, DI/DO and GMSL. It also features connectivity M.2 Key E slot for Wi-Fi/BT and M.2 Key B slot for 4G/5G modules, making it perfect candidate to be the brain of sophisticated mobile robots or autonomous vehicles.
reComputer Robotics J5012 with GMSL - Ultra-Advanced Edge AI Computer with NVIDIA Jetson AGX Orin 64GB
reComputer Robotics J5012 is a power edge box with NVIDIA Jetson AGX Orin 64GB module. It features rich IOs, such as USB, Ethernet, CAN, RS-232/422/485, DI/DO and GMSL. It also features connectivity M.2 Key E slot for Wi-Fi/BT and M.2 Key B slot for 4G/5G modules, making it perfect candidate to be the brain of sophisticated mobile robots or autonomous vehicles.
seeed studio Coral M.2 Accelerator A+E Key
The Coral M.2 Accelerator is an M.2 module that brings the Edge TPU coprocessor to existing systems and products. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with low power requirements: it's capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for constant high-bandwidth connectivity. The M.2 Accelerator is a dual-key M.2 card (either A+E or B+M keys), designed to fit any compatible M.2 slot. This form-factor enables easy integration into ARM and x86 platforms so you can add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways.
seeed studio NVIDIA Jetson Orin NX 16GB Edge AI Device - reComputer J4012, 4xUSB 3.2, M.2 Key E & Key M Slot, Pre-Installed Jetpack System with NVIDIA Jetpack on 128GB NVMe SSD
【Brilliant AI Performance for production】 on-device processing with up to 100 TOPS AI performance with low power and low latency, Due to the high thermal demands of Super mode, only the J30 Series supports upgrading to Super mode via the JetPack 6.2 update. 【Hand-size edge AI device】 compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere 【Expandable with rich I/Os】4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. 【Accelerate solution to market】pre-installed Jetpack with NVIDIA JetPack 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms 【Comprehensive certificates】FCC, CE, RoHS, UKCA 【Note】Power adapter needs to be purchased separately
seeed studio NVIDIA Jetson Orin Nano 8GB Super Mode - reComputer J3011, 4xUSB 3.2, M.2 Key E & Key M Slot, pre-Built Jetpack 6.2
The reComputer Super J3011 is the Intelligent Edge AI system, based on the NVIDIA Jetson Orin Nano 8GB platform, delivering up to 67 TOPS in Super mode. It supports a wide range of operating temperature from -20℃ to 65℃. Built for fast development and production, it features Wi-Fi/BT/LTE wireless communication capability and Ethernet, ensuring seamless integration, ideal for video analysis, multimodal perception, and robotics.
seeed studio reComputer Industrial J4012- Fanless Edge AI Device with Jetson Orin NX 16GB
【Fanless compact PC】Thermal reference design, wider temperature support -20 ~ 60°C with 0.7m/s airflow 【Designed for industrial interfaces】2* RJ-45 GbE(1 for POE-PSE 802.3 af); 1* RS-232/RS-422/RS-485; 4* DI/DO; 1* CAN; 3* USB3.2; 1* TPM2.0 (Module optional) 【Hybrid connectivity】Support 5G/4G/LTE/LoRaWAN/GPS(Module optional) with 1* Nano SIM card slot 【Flexible mounting】Desk, DIN rail, wall-mounting, VESA 【Certifications】FCC, CE, RoHS, UKCA 【Note】Power adapter needs to be purchased separately