Jetson Nano is great for not only robotics/edge AI, you can use ML for science usage such as medical imaging or environmental data to speed up your workflow. From personal experience even an underclocked dual-core power save mode on the Jetson Nano will still be faster on CUDA AI/ML tasks than a Raspberry Pi 4, however your workflow may vary. If you use AI/ML that isn't optimized for CUDA, in some cases a Pi 4 raw CPU compute can edge out the Nano. I would say if you pair a Pi 4 with any AI/ML accelerator it'll cost more than a Jetson Nano and your mileage is still going to vary.
Depending upon how you use a Jetson Nano, for robotics/automation you can actually run four cameras via USB and use the camera interface. Performance wise if you do opt to run a Jetson Nano using USB power, your mileage is going to vary as not all USB power adapters provide a stable voltage which means checking the specs--I reused a Canakit USB power adapter from a retired Pi 3 and never had any voltage warnings but if you plan to run a Jetson Nano hard like a Pi 4 you'll want to use the barrel power adapter for extra power stability when using multiple USB devices+GPIO. Thermal wise I've compared a fanless vs fan equipped Jetson Nano, even under sustained load the heatsink size prevents it from thermal throttling too much. This B01 version has two camera connectors which is geared for stereo imaging however you can run two cameras at a small performance loss and also fixed the networking issue which occurred on the original Jetson Nano A01/A02.
From a performance per watt/dollar ratio, if you're going to dive deeper into AI/ML a Jetson NX is more ideal. With a Jetson Nano if you're pushing four cameras and LIDAR it'll require a bit of tweaking to get optimal performance and still remain at about 3.5GB of memory usage.
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Grab your Jetson Nano 4GB Developer Kit—a powerful mini AI computer. It’s the perfect solution for any project using image classification, object detection, segmentation, speech processing, and more.
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NVIDIA delivers free training in AI for developers, educators, students, and lifelong learners. Boost your career and earn certificates to show your understanding of Jetson and AI.
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The developer kit can bring vision and understanding to your computer—whether it’s an autonomous bot, a speech recognition device, or a smart home device. What will you build with Jetson Nano?
Developer Kit Layout
The Jetson Nano 4GB Developer Kit features four USB 3.0 ports, an MIPI CSI-2 camera connector, HDMI 2.0 and DisplayPort 1.3, Gigabit Ethernet, an M.2 Key-E module, a MicroSD card slot, and a 40-pin GPIO header. The dev kit can be powered by either the Micro USB port or a 5V DC barrel jack adapter.
1. microSD card slot for main storage
2. 40-pin expansion header
3. Micro-USB port for 5V power input, or for Device Mode
4. Gigabit Ethernet port
5. USB 3.0 ports (x4)
6. HDMI output port
7. DisplayPort connector
8. DC Barrel jack for 5V power input
9. MIPI CSI-2 camera connectors
Jetson Community Projects
The NVIDIA Jetson platform is backed by a passionate developer community that actively contributes videos, how-tos, and open-source projects. Plus, NVIDIA offers free tutorials starting with an introductory "Hello AI World" and continuing to robotics projects such as the JetBot AI open robot platform
Built on the Full NVIDIA Stack
NVIDIA JetPack gives you a head start on projects with fast and efficient AI. It includes a familiar Linux environment and offers every Jetson developer the same NVIDIA CUDA-X software and tools used by professionals around the world.
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Customers say
Customers find the single board computer's build quality positive, with one noting it's a perfect platform for AI/ML. They appreciate its versatility for prototyping, with one mentioning its suitability for Deep Learning AI classification. The reliability receives mixed feedback, with some saying it works fine while others report issues with the OS not booting. The price-performance ratio also gets mixed reviews.
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14 customers mention build quality, 11 positive, 3 negative
Amazing product especially for kids who love Robo Technology.Read more
Very good shipping, everything arrived well, and the quality of the board is very good, as well as the efficiency to process ML algorithmsRead more
...I use it as my programming platform. With 20mm fan it works silent and coolRead more
...-grade" product, so Dev Kit is just a euphemism for it being a low-quality product, on purpose....Read more
6 customers mention versatility, 6 positive, 0 negative
Best kickstart for prototyping using AIRead more
Jetson Nano is great for not only robotics/edge AI, you can use ML for science usage such as medical imaging or environmental data to speed up your...Read more
...is my fourth purchase of a Jetson nano and it is perfect for Deep Learning AI classification and detection using OpenCv or Tensor Flow.Read more
Using for computer vision testing and have not had any issues at all.Read more
20 customers mention reliability, 8 positive, 12 negative
13 months after the purchase board stopped working. It is not powering up (LED dead)... one month off Warranty....Read more
Very slow and buggyRead more
...It will not even boot unless it has at least 4A, so make sure you buy the right one....Read more
Thanks for fast and secure shıppment! The jetson nano works just fine. I use it as my programming platform. With 20mm fan it works silent and coolRead more
5 customers mention price-performance ratio, 3 positive, 2 negative
good quality
Very good shipping, everything arrived well, and the quality of the board is very good, as well as the efficiency to process ML algorithms
Top reviews from the United States
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- Reviewed in the United States on April 12, 2021
- Reviewed in the United States on October 1, 2024
Very good shipping, everything arrived well, and the quality of the board is very good, as well as the efficiency to process ML algorithms
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- Reviewed in the United States on April 28, 2024
- Reviewed in the United States on May 20, 2023
Top reviews from other countries
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Ha già smesso di funzionareReviewed in Italy on November 23, 2024
Arrivato prodotto non come da descrizione
- ThomasReviewed in Canada on February 15, 2024
Carrier board logic level converter is defective on all boards
- nahimudeenReviewed in the United Arab Emirates on August 15, 2021
Easy pc for hobbyist
