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NVIDIA® Jetson Nano™ Developer Kit - B01
NVIDIA® Jetson Nano™ Developer Kit B01 with 0.5 TFLOPs of power. It features a rich set of IOs, a passive heatsink, pre-built Jetpack 4.6.1, 2x SCI, 4x USB 3 , M.2 Key E, 1x HDMI and 1x DP.
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PRODUCT DETAILS
Features
- Hand-sized edge device: Compact size at 100 mm x 80 mm x 29 mm, offering 5 TOPS AI performance with low power consumption and low latency.
- Ready for development and deployment: pre-installed NVIDIA JetPack 4.6 supports the entire Jetson Software and industry-leading AI Developer Tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
- Expandable with Rich I/Os: Includes an onboard microSD card slot, 4x USB 3.0, 1x Micro-USB, HDMI,2 Key E for WiFi, LTE, Bluetooth, RTC, Raspberry Pi GPIO 40-pin, and more.
- Power efficient: DC Jack 5V⎓4A and Micro-USB 5V⎓2A
Specification
● Jetson Nano 4GB System on Module
Al Performance |
Jetson Nano 4GB - 0.5TFLOPS |
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 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264) |
Video Decoder |
1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) |
● Carrier Board
Storage |
1x TF_Card |
|
Networking |
Ethernet |
1x RJ-45 Gigabit Ethernet (10/100/1000M) |
M.2 KEY E |
1x M.2 Key E for WiFi/Bluetooth module |
|
I/O |
USB |
4x USB 3.0 Type A; 1x Micro-USB port for 5V power input or for device mode |
Camera |
2x CSI |
|
Display |
1x HDMI Type A; 1x DP |
|
Fan |
1x 4 pin Fan Connector (5V PWM) |
|
Multifunctional Port |
1x 40-Pin Expansion header 1x 14-Pin Control and UART header |
|
Power Supply |
DC Jack 5V⎓4A; Micro-USB 5V⎓2A |
|
Mechanical |
Dimensions (W x D x H) |
100 mm x 80 mm x 29 mm |
Installation |
Desk, wall-mounting |
Application
Application Fields:
- Computer Vision
- Machine Learning
- Autonomous Mobile Robot (AMR)
NVIDIA Jetson Nano Developer Kit-B01 |
x1 |
*Noted power supply is not included, please remember to add on demand |
ECCN/HTS
HSCODE |
8471419000 |
USHSCODE |
8543708800 |
UPC |
|
EUHSCODE |
8471707000 |
COO |
CHINA |
CCATS |
CE |
EU DoC |
FCC |
KC |
REACH |
RoHS |
UK DoC |
UKCA |
LEARN AND DOCUMENTS
SHARED BY USERS
REVIEWS
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Really good equipment,Value for the priceMuch like how Nvidia optimizes ubuntu and deploys it on this device.
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Really good equipment,Value for the priceMuch like how Nvidia optimizes ubuntu and deploys it on this device.
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Really good equipment,Value for the priceMuch like how Nvidia optimizes ubuntu and deploys it on this device.
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Really good equipment,Value for the priceMuch like how Nvidia optimizes ubuntu and deploys it on this device.
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Good CoM to learn AII'm very satisfied with this CoM on price over performance, with US$99 its absolutely the best Dev Kit ever to learn Deep Learning and Computer Vision, even better it lets you run multiple neural networks in parallel for applications like image classification, object detection, and segmentation.
Only one problem that bother me, even though it has 2 MIPI CSI camera connector, its not synchronized with each other and cannot do depth disparity, maybe in later release NVIDIA should consider about this, so we can have 3D stereo depth synchronized camera capability using these MIPI CSI connectors onboard without using special shield or hat. Cheers!