Reinforcing its commitment to widening the accessibility to and innovation in the area of deep learning, NVIDIA has created a free, self-paced, online Deep Learning Institute (DLI) course, “Getting Started on AI with Jetson Nano.” The course's goal is to build foundational skills to enable anyone to get creative with the Jetson Developer Kit. Please be aware that this kit is for those who already own a Jetson Nano Developer Kit and want to join the DLI Course. A Jetson Nano is not included in this kit. Included in this kit is everything you will need to get started in the “Getting Started on AI with Jetson Nano” (except for a Jetson Nano, of course), and you will learn how to Set up your Jetson Nano and camera Collect image data for classification models Annotate image data for regression models Train a neural network on your data to create your own models Run inference on the Jetson Nano with the models you create The NVIDIA Deep Learning Institute offers hands-on training in AI and accelerated computing to solve real-world problems. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a competency certificate to support professional growth. They offer self-paced, online training for individuals, instructor-led workshops for teams, and downloadable course materials for university educators. Included 32 GB microSD Card Logitech C270 Webcam Power Supply 5 V, 4 A USB Cable - microB (Reversible) 2-Pin Jumper Please note: Jetson Nano Developer Kit not included.

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Waveshare Core3S500E is an FPGA core board that features an XC3S500E device onboard supporting further expansion. Features Onboard 1x XCF04S Integrated FPGA basic circuit, such as clock circuit Onboard nCONFIG button, RESET button, 4x LEDs All the I/O ports are accessible on the pin headers Onboard JTAG debugging/programming interface 2.0 mm header pitch design, suitable for being plugged-in your application system Downloads Wiki

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Waveshare CoreEP4CE10 is an FPGA core board that features an EP4CE10F17C8N device onboard supporting further expansion. Features Onboard Serial Configuration Device EPCS16SI8N Integrated FPGA basic circuit, such as clock circuit Onboard nCONFIG button, RESET button, 4x LEDs All the I/O ports are accessible on the pin headers Onboard JTAG debugging/programming interface 2.00 mm header pitch design, suitable for being plugged-in your application system Downloads Wiki

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The starter kit for Jetson Nano is one of the best kits for beginners to get started with Jetson Nano. This kit includes 32 GB MicroSD card, 20 W adapter, 2-pin jumper, camera, and micro-USB cable. Features 32 GB High-performance MicroSD card 5 V 4 A power supply with 2.1 mm DC barrel connector 2-pin jumper Raspberry Pi camera module V2 Micro-B To Type-A USB cable with DATA enabled

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The Waveshare Jetson Nano Development Kit, based on AI computers Jetson Nano (with 16 GB eMMC) and Jetson Xavier NX, provides almost the same IOs, size, and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of the core module, it is qualified for fields like image classification, object detection, segmentation, speech processing, etc., and can be used in sorts of AI projects. Specifications GPU 128-core Maxwell CPU Quad-core ARM A57 @ 1.43 GHz RAM 4 GB 64-bit LPDDR4 25.6 GB/s Storage 16 GB eMMC + 64 GB TF Card Video encoder 250 MP/s 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) Video decoder 500 MP/s 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC) Camera 1x MIPI CSI-2 D-PHY lanes Connectivity Gigabit Ethernet, M.2 Key E expansion connector Display HDMI USB 1x USB 3.2 Gen 1 Type A 2x USB 2.0 Type A 1x USB 2.0 Micro-B Interfaces GPIO, I²C, I²S, SPI, UART Dimensions 100 x 80 x 29 mm Included 1x JETSON-NANO-LITE-DEV-KIT (carrier + Nano + heatsink) 1x AC8265 dual-mode NIC 1x Cooling fan 1x USB cable (1.2 m) 1x Ethernet cable (1.5 m) 1x 5 V/3 A power adapter (EU) 1x 64 GB TF Card 1x Card reader Documentation Wiki

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The PeakTech 1265 is an affordable 30 MHz 2-channel digital storage oscilloscope with a high-resolution TFT color display and extensive additional functions. It has a sampling rate of up to 250 MS/s and convinces with its high quality and easy handling with the best price/performance ratio. To quickly display each incoming waveform, simply press the Autoset key and the oscilloscope itself searches for the best possible display. With Autoscale, however, the scaling of the time base can be adjusted in a user-friendly manner. This oscilloscope has a VGA output for displaying the oscilloscope display on an external monitor or projector. Features 2-channel oscilloscope with 30 MHz analog bandwidth at max. 250 MS/s sampling rate 8 inch (20 cm) TFT color display with 800 x 600 pixels LAN, USB host, USB device & VGA interface Autoset function for user-friendly operation Recording length of max. 10,000 points Automatic measurement modes, XY mode and FFT function Specifications Bandwidth 30 MHz Channels 2 Screen size (TFT) 8' (20 cm) Resolution 800 x 600 Pixel Display Type Color-TFT Sampling 1 CH 250 MS/s Sampling 2 CH 125 MS/s Hor. scale max. 100 s/div Hor. scale min. 5 ns/div Memory depth 10,000 Points Rise Time < 14 ns Vert. resolution 8 Bit Vert. scale max. 10 V/div Vert. scale min. 2 mV/div Interfaces 1x USB, 1x LAN, 1x VGA Mains voltage 110/240 V AC; 50/60 Hz Included PeakTech 1265 Oscilloscope USB cable Software CD for Windows Power cord 2 probes BNC cable Carrying case Manual Downloads Software Datasheet_DE-EN Datasheet_FR Datasheet_IT Datasheet_ES

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The reComputer J3010 is a compact and powerful edge AI device powered by the NVIDIA Jetson Orin Nano SoM, delivering an impressive 20 TOPS AI performance – up to 40 times faster than the Jetson Nano. Pre-installed with Jetpack 5.1.1, it features a 128 GB SSD, 4x USB 3.2 ports, HDMI, Gigabit Ethernet, and a versatile carrier board with M.2 Key E for WiFi, M.2 Key M for SSD, RTC, CAN, and a 40-pin GPIO header. Applications AI Video Analytics Machine Vision Robotics Specifications Jetson Orin Nano System-on-Module AI Performance reComputer J3010, Orin Nano 4 GB (20 TOPS) GPU 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4 GB) CPU 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB L3 Memory 4 GB 64-bit LPDDR5 34 GB/s (Orin Nano 4 GB) Video Encoder 1080p30 supported by 1-2 CPU cores Video Decoder 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265) Carrier Board Storage M.2 Key M PCIe (M.2 NVMe 2280 SSD 128 GB included) Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) M.2 Key E 1x M.2 Key E (pre-installed 1x Wi-Fi/Bluetooth combo module) I/O USB 4x USB 3.2 Type-A (10 Gbps)1x USB 2.0 Type-C (Device Mode) CSI Camera 2x CSI (2-lane 15-pin) Display 1x HDMI 2.1 Fan 1x 4-pin Fan Connector (5 V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header RTC RTC 2-pin, supports CR1220 (not included) Power Supply 9-19 V DC Mechanical Dimensions 130 x 120 x 58.5 mm (with Case) Installation Desktop, wall-mounting Operating Temperature −10°C~60°C Included 1x reComputer J3010 (system installed) 1x Power adapter (12 V / 5 A) Downloads reComputer J301x Datasheet NVIDIA Jetson Devices and carrier boards comparisions reComputer J401 schematic design file reComputer J3010 3D file

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The reComputer J1020 v2 is a compact edge AI device powered by the NVIDIA Jetson Nano 4 GB production module, delivering 0.5 TFLOPs of AI performance. It features a robust aluminum case with a passive heatsink and comes pre-installed with JetPack 4.6.1. The device includes 16 GB of onboard eMMC storage and offers 2x SCI, 4x USB 3.0, M.2 Key M, HDMI, and DP. Applications Computer Vision Machine Learning Autonomous Mobile Robot (AMR) Specifications Jetson Nano 4 GB System-on-Module AI Performance Jetson Nano 4 GB (0.5 TOPS) GPU NVIDIA Maxwel architecture with 128 NVIDIA CUDA cores CPU Quad-core ARM Cortex-A57 MPCore processor Memory 4 GB 64-bit LPDDR4 25.6 GB/s Video Encoder 1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 & H.264) Video Decoder 1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) Carrier Board Storage 1x M.2 Key M PCIe Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) I/O USB 4x USB 3.0 Type-A1x Micro-USB port for device mode CSI Camera 2x CSI (2-lane 15-pin) Display 1x HDMI Type A; 1x DP Fan 1x 4-pin Fan Connector (5 V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header Power Supply DC 12 V/2 A Mechanical Dimensions 130 x 120 x 50 mm (with Case) Installation Desktop, wall-mounting Operating Temperature −10°C~60°C Included reComputer J1020 v2 (system installed) 12 V/2 A power adapter (with 5 interchangeable adapter plugs) Downloads reComputer J1020 v2 datasheet reComputer J1020 v2 3D file Seeed NVIDIA Jetson Product Catalog NVIDIA Jetson Device and Carrier Boards Comparison

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Kit Contents 1x Standard Nozzles (pack of 4) 1x Burnishing Pads (pack of 3) 1x 2'x3' Substrates (pack of 10) 1x 3'x4' Substrates (pack of 6) 1x 'Hello World' Kit

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The Arduino Pro Portenta Vision Shield LoRa brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly via LoRa to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. The shield comes with: a 320x320 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor long range 868/915 MHz LoRa wireless connectivity: get your Portenta H7 connected to the Internet of Things with low power consumption two on-board microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield LoRa has been designed to work with the Arduino Portenta H7. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Specifications Camera Himax HM-01B0 camera module (manufacturer site) Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2x MP34DT05 (datasheet) Connectivity 868/915MHz ABZ-093 LoRa Module with ARM Cortex-M0+ (datasheet) Dimensions 66 x 25 mm Weight 8 g Downloads Datasheet Schematics

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The Arduino Pro Portenta Cat. M1/NB IoT GNSS Shield allows you to enhance the connectivity features of your Portenta H7 applications. The shield leverages a Cinterion TX62 wireless module by Thales, designed for highly efficient, low-power IoT applications to deliver optimized bandwidth and performance. The Portenta Cat. M1/NB IoT GNSS Shield combines with the strong edge computing power of the Portenta H7 to enable the development of asset tracking and remote monitoring applications in industrial settings, as well as in agriculture, public utilities and smart cities. The shield offers cellular connectivity to both Cat. M1 and NB-IoT networks with the option to use eSIM technology. Easily track your valuables – across the city or worldwide – with your choice of GPS, GLONASS, Galileo or BeiDou. Features Change connectivity capabilities without changing the board Add NB-IoT, CAT. M1 and positioning to any Portenta product Possibility to create a small multiprotocol router (WiFi - BT + NB-IoT/CAT. M1) Greatly reduce communication bandwidth requirements in IoT applications Low-power module Compatible also with MKR boards Remote Monitoring Industrial and agricultural companies can leverage the Portenta Cat. M1/NB IoT GNSS Shield to remotely monitor gas detectors, optical sensors, machinery alarm systems, biological bug traps and more. Technology providers providing smart city solutions can compound the power and reliability of the Portenta H7 with the Portenta Cat. M1/NB IoT GNSS Shield, to connect data and automate actions for a truly optimized use of resources and enhanced user experience. Asset Monitoring Add monitoring capabilities to any asset by combining the performance and edge computing features of the Portenta family boards. The Portenta Cat. M1/NB IoT GNSS Shield is ideal to monitor valuable goods and also for monitoring industrial machinery and equipment. Specifications Connectivity Cinterion TX62 wireless module; NB-IoT - LTE CAT.M1; 3GPP Rel.14 Compliant Protocol LTE Cat. M1/NB1/NB2; UMTS BANDS: 1 / 2 / 3 / 4 / 5 / 8 / 12(17) / 13 / 18 / 19 / 20 / 25 / 26 / 27 / 28 / 66 / 71 / 85; LTE Cat.M1 DL: max. 300 kbps, UL: max. 1.1 Mbps; LTE Cat.NB1 DL: max. 27 kbps, UL: max. 63 kbps; LTE Cat.NB2 DL: max. 124 kbps, UL: max. 158 kbps Short messaging service (SMS) Point-to-point mobile terminated (MT) and mobile originated (MO) Text Mode; Protocol Data Unit (PDU) Mode Localization support GNSS capability (GPS/BeiDou/Galileo/GLONASS) Other Embedded IPv4 and IPv6 TCP/IP stack access; Internet Services: TCP server/client, UDP client, DNS, Ping, HTTP client, FTP client, MQTT client Secure Connection with TLS/DTLS Secure boot Dimensions 66 x 25.4 mm Operating temperature -40° C to +85° C (-104° F to 185°F) Downloads Datasheet Schematics

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The single backlit button is a simple mechanical switch that comes with an LED inside. When you press the button, the circuit is completed, driving your pin high or low. Use the embedded LED to make a glowing power icon, logo , or whatever suits your fancy. Features Press durability: Up to 10,000 times pressing under 5lbf (22.24 N) LED Voltage: 5 V Component: 2" x 3" Individual (5,08 x 7,62 cm) Button Size: 1" radius circle (2,54 cm)

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Double Backlit User Interface: The dual backlit button is just like the single backlit button, but twice the fun! Use this component when you need to operate something up and down, or right to left. Using cut-out vinyl, you can create icons and stickers on fabric that show your users button functionality. Features Component: 4.6 x 6.3" Individual Button Size: 1" radius circle Press Durability: Up to 10,000 presses under 5lbf LED Voltage: 5 V

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Portenta HAT Carrier is a reliable and robust carrier that transforms Portenta X8 into an industrial single board computer compatible with Raspberry Pi HATs and cameras. It is ideal for multiple industrial applications such as building automation and machine monitoring. Compatible also with Portenta H7 and Portenta C33, Portenta HAT Carrier provides easy access to multiple peripherals – including CAN, Ethernet, microSD and USB – and further extends any Portenta application. It is great for prototyping and ready for scaling up, it extends the features found on a typical Raspberry Pi Model B. Debug quickly with dedicated JTAG pins and keeps heat manageable under intense workloads with a PWM fan connector. Control actuators or read analog sensors via the additional 16x analog I/Os. Add industrial machine vision solutions to any project by leveraging the onboard camera connector. Features Add Raspberry Pi HATs to your Portenta projects Quickly access CAN, USB, and Ethernet peripherals Leverage onboard MicroSD card to log data Enjoy simple debugging through the onboard JTAG pins Easily control actuators and read sensors via 16x analog I/Os Leveraging the onboard camera connector for machine vision Portenta takes you from prototype to high-performance Portenta HAT Carrier offers you a frictionless Linux prototyping experience and unlocks the ability for integrated real-time MCU solutions. Portenta HAT Carrier extends Portenta SOMs for faster, easier and more efficient testing for your ideas while also ensuring the capabilities and industrial-grade performances the Portenta range is known for. Extend the Raspberry Pi ecosystem for commercial applications Combine the ease of use, accessibility and incredible support from both the Arduino and Raspberry Pi communities for your next project with the carrier designed to combine and extend MPU and MCU applications for the development of advanced commercial solutions. Specifications Connectors High-density connectors compatible with Portenta products 1x USB-A female connector 1x Gigabit Ethernet connector (RJ45) 1x CAN FD with onboard transceiver 1x MIPI Camera connector 1x MicroSD card slot 1x PWM fan connector 40-pin header connector allowing compatibility with Raspberry Pi HATs 16-pin analog header connectors, including: 8x analog inputs 1x GPIO 1xUART without flow control 2x PWM pins 1x LICELL pin for Portenta's RTC power Interfaces CAN FD UART SAI ANALOG GPIO SPI I²C I²S PWM Debugging Onboard 10x pin 1.27 mm JTAG connector Power From onboard screw terminal block allowing: 7-32 V power supply, powering both the carrier and the connected Portenta 5 V power supply From USB-C on Portenta From 5 V on 40-pin header connector Dimensions 85 x 56 mm Downloads Datasheet Schematics

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The unPhone is an open-source IoT development platform powered by the ESP32S3 microcontroller. It features integrated LoRa, Wi-Fi, and Bluetooth connectivity, a touchscreen, and a LiPo battery, offering a robust and versatile solution for IoT development. Its compatibility with Adafruit's FeatherWing standard enables easy expansion, making it an ideal choice for educators, makers, and developers seeking a flexible and user-friendly platform. Features ESP32S3 microcontroller (with 8 MB flash and 8 MB PSRAM) LoRaWAN licence-free radio communication (plus the ESP32's excellent wifi and bluetooth support) 3.5" (320 x 480) LCD capacitive touchscreen for easy debugging and UI creation IR LEDs for surreptitiously switching the cafe TV off 1200 mAh LiPo battery with USB-C charging Vibration motor for notifications Compass/Accelorometer A robust case SD card slot Power and reset buttons Programmable in C++ or CircuitPython Expander board that supports two Featherwing sockets and a prototyping area Open source firmware compatible with the Arduino IDE, PlatformIO and Espressif's IDF development framework Included unPhone (assembled) Expander board FPC cable (to link the expander board to unPhone) Self adhesive mounts for the expander board Code Examples C++ library Kick the tyres on everything in the box The main LVGL demo CircuitPython Support forum Textbook (especially chapter 11)

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