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.
4 LEDs and 4 push buttons ensure hours of fun. Repeat the combination, harder and harder, faster and faster. The microprocessor-controlled game has 4 different difficulty levels and low consumption. The sound and/or LED indication are adjustable. To save the three 1.5 V AA batteries (not included), the kit automatically switches itself off when not in use.
Downloads
Manual
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
This AI Edge Computing Development Kit is based on the Jetson Orin Nano Module providing rich peripheral interfaces such as M.2, DP, USB, etc.
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.
Specifications
AI performance
40 TOPS
GPU
1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores
GPU frequency
625 MHz (max)
CPU
6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5 MB L2 + 4 MB L3
CPU frequency
1.5 GHz (max)
RAM
8 GB 128-bit LPDDR5, 68 GB/s
Storage
128 GB NVMe Solid State Drive
Power
7~15 W
PCIE
M.2 Key M slot with x4 PCIe Gen3
M.2 Key M slot with x2 PCIe Gen3
M.2 Key E slot
USB
USB Type-A: 4x USB 3.2 Gen2
USB Type-C (UFP)
CSI camera
2x MIPI CSI-2 camera connector
Video encode
1080p30 supported by 1-2 CPU cores
Video decode
1x 4K60 (H.265)
2x 4K30 (H.265)
5x 1080p60 (H.265)
11x 1080p30 (H.265)
Display
1x DisplayPort 1.2 (+MST) connector
Interfaces
40-Pin Expansion Header (UART, SPI, I²S, I²C, GPIO), 12-pin button header, 4-pin fan header, DC power jack
Networking
1x GbE connector
Dimensions
103 x 90.5 x 34 mm
Included
Waveshare Orin Nano development kit
1x Jetson Orin Nano Module (8 GB)
1x JETSON-ORIN-IO-BASE
1x Cooling Fan
1x 128 GB NVMe Solid State Drive (assembled)
1x Wireless network card (assembled)
1x USB Type A to Type-C cable (1 m)
1x Ethernet cable (1.5 m)
1x Jumper
1x Power adapter (EU)
Documentation
Wiki
The Christmas tree with flashing LEDs takes the coziness of Christmas to a new level! With 16 flashing LEDs, this green Christmas tree creates a warm atmosphere. With very low power consumption and the option to be powered by a 9-volt battery (not included), this Christmas decoration is easy to use.
Enjoy the holidays with this atmospheric addition to your decoration collection.
Downloads
Manual
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
This educational soldering kit is suitable for all kinds of applications such as model making and works with a 9 V battery (not included). You can control the flashing speed with two potentiometers.
Downloads
Manual
