Description
JETSON NANO B01 SUB Version 4GB Developer Kit (Motherboard only) with 16GB EMMC for M.2 Network Card
Version (Motherboard only):
To start the Jetson Nano board you need at least:
1. Power adapter
2. Memory card
Attention:
- The SUB version does not require a memory card because it comes with a 16GB eMMC.
- It is recommended to use a 64GB TF card. Installing the official system image + AI environment configuration will occupy more than 32GB of memory.
Description:
Jetson Nano B01 Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts. On-board display, USB , Gigabit Ethernet, micro USB, DC power, Poe, camera interface, and supports install wireless network card with antenna.
The JETSON NANO with a quad-core CORTEX-A57 processor, a 128-core MAXWELL GPU and 4GB of LPDDR memory with power Al computing power to provide 472GFLOP and support a range of popular AI frameworks and algorithms such as TENSORFLOW, PYTORCH, CAFFE /CAFFE2, KERAS, MXNET, etc.
Features:
- JETSON NANO B01 4GB development kit: AI entry recommendation
- It is an excellent alternative to the B01 official version: The Jetson Nano B01 SUB version uses the official NVIDIA Jetson Nano 4GB core module. The module comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without using a TF card. The motherboard performance, carrier board resources, size and interface layout are consistent with the official kit. It is stable and reliable. For cost-effective considerations, it is recommended that you buy the B01 SUB version.
- Supports M.2 high-speed network card
- It is suitable for beginner developers. Although JETSON NANO B01 has obvious computing power and performance advantages compared with JETSON ORIN series modules, its price has also increased significantly. For entry-level developers or beginners, we still recommend the more cost-effective JETSON NANO B01 development board because its performance is sufficient. It can run the ROS system and most AI model algorithms smoothly. Users who do not do in-depth secondary development do not have to blindly pursue the ORIN series motherboards with higher computing power to avoid excessive performance.
- Common power supply methods: It is recommended to use a 5V 4A DC power supply to meet most usage scenarios of Jetson Nano. It can also drive loads such as cameras, display screens and USB devices.
- Provides Jetson Nano 3D model files
Package Included:
- 1 x JETSON NANO B01 SUB version board
Packaging Details:
- Weight: 0.25kg
Version (Motherboard only):
To start the Jetson Nano board you need at least:
1. Power adapter
2. Memory card
Attention:
- The SUB version does not require a memory card because it comes with a 16GB eMMC.
- It is recommended to use a 64GB TF card. Installing the official system image + AI environment configuration will occupy more than 32GB of memory.
Description:
Jetson Nano B01 Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts. On-board display, USB , Gigabit Ethernet, micro USB, DC power, Poe, camera interface, and supports install wireless network card with antenna.
The JETSON NANO with a quad-core CORTEX-A57 processor, a 128-core MAXWELL GPU and 4GB of LPDDR memory with power Al computing power to provide 472GFLOP and support a range of popular AI frameworks and algorithms such as TENSORFLOW, PYTORCH, CAFFE /CAFFE2, KERAS, MXNET, etc.
Features:
- JETSON NANO B01 4GB development kit: AI entry recommendation
- It is an excellent alternative to the B01 official version: The Jetson Nano B01 SUB version uses the official NVIDIA Jetson Nano 4GB core module. The module comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without using a TF card. The motherboard performance, carrier board resources, size and interface layout are consistent with the official kit. It is stable and reliable. For cost-effective considerations, it is recommended that you buy the B01 SUB version.
- Supports M.2 high-speed network card
- It is suitable for beginner developers. Although JETSON NANO B01 has obvious computing power and performance advantages compared with JETSON ORIN series modules, its price has also increased significantly. For entry-level developers or beginners, we still recommend the more cost-effective JETSON NANO B01 development board because its performance is sufficient. It can run the ROS system and most AI model algorithms smoothly. Users who do not do in-depth secondary development do not have to blindly pursue the ORIN series motherboards with higher computing power to avoid excessive performance.
- Common power supply methods: It is recommended to use a 5V 4A DC power supply to meet most usage scenarios of Jetson Nano. It can also drive loads such as cameras, display screens and USB devices.
- Provides Jetson Nano 3D model files
Package Included:
- 1 x JETSON NANO B01 SUB version board
Packaging Details:
- Weight: 0.25kg
Payment Terms
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2. For remote regions of DHL/FedEx..., extra shipping costs might be charged. Usually it costs about 30USD-50USD. We will contact you if shipping company informed us your address belongs to remote area. Thanks for your understanding.
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