Reviews Jetson Impact

Waveshare Jetson Nano 4GB Development/Expansion Kit Alternative Solution of B01 Kit with Carrier Board Only Compatible with Both Jetson Nano and Jetson Xavier NX

  • The carrier board ONLY, compatible with both Jetson Nano and Jetson Xavier NX.
  • Based on AI computers Jetson Nano and Jetson Xavier NX, providing 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 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..
  • Compatible With Both Jetson Nano And Jetson Xavier NX.
  • 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265).
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seeed studio - Grove - HCHO Sensor (Semiconductor VOC Gas Based WSP2110)

  • 【Powerful and Compact】Jetson Mate is a carrier board which can install up to 4 Jetson Nano/NX SoMs. There is an on board 5-port gigabit switch enabling the 4 SoMs to communicate with each other.
  • 【Easy to build and config】One master node with 3 worker nodes with the ability to power on/off the worker nodes separately.With one 65w PD power adapter and 1 ethernet cable, developers can easily build their own Jetson Cluster.
  • 【Applications】GPU Server,GPU Cluster,Homelab,etc..
  • 【Part List】Jetson Mate x 1,Jeston Mate Cooling Fan Top x 1,Jetson Mate Dedicated Case x 1.
  • 【Note】The kit does not include the 65w PD power supply, please make sure you have this sort of power supply for charging.
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NVIDIA Jetson Xavier NX Developer Kit (812674024318)

  • The Nvidia Jetson Xavier Nx Developer Kit Includes A Power-Efficient, Compact Jetson Xavier Nx Module For Ai Edge Devices. It Benefits From New Cloud-Native Support And Accelerates The Nvidia Software Stack In As Little As 10 W With More Than 10X The Performance Of Its Widely Adopted Predecessor, Jetson Tx2. The Capability To Develop And Test Power-Efficient, Small Form-Factor Solutions With Accurate, Multi-Modal Ai Inference Opens The Door For New Breakthrough Products..
  • Developers Can Now Take Advantage Of Cloud-Native Support To Transform The Experience Of Developing And Deploying Ai Software To Edge Devices. Pre-Trained Ai Models From Nvidia Ngc, Together With The Nvidia Transfer Learning Toolkit, Provide A Faster Path To Inference With Optimized Ai Networks, While Containerized Deployment To Jetson Devices Allows Flexible And Seamless Updates..
  • The Developer Kit Is Supported By The Entire Nvidia Software Stack, Including Accelerated Sdks And The Latest Nvidia Tools For Application Development And Optimization. When Combined With Jetson Xavier Nx, This Powerful Stack Helps You Create Innovative Solutions For Manufacturing, Logistics, Retail, Service, Agriculture, Smart City, Healthcare And Life Sciences, And More..
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Yahboom Jetson Nano 4GB SUB Developer Kit Nano B01 with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (Jetson Nano 4GB SUB) (SUB Separate Board)

  • 4GB SUB B01 substitute ≠ official B01 (slight difference),.
  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUD....
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Marvel X-Men Xavier Institute Flight School Blackbird Long Sleeve T-Shirt (Large) Navy

  • The NVIDIA Jetson AGX Orin Developer Kit makes it easy to get started with the Jetson AGX Orin module. Compact size, lots of connectors, and up to 275 TOPS of AI performance make this developer kit perfect for prototyping advanced AI-powered robots and other autonomous machines..
  • Jetson AGX Orin features an NVIDIA Ampere architecture GPU together with next-generation deep learning and vision accelerators, and its high-speed IO and fast memory bandwidth can feed multiple concurrent AI application pipelines. This means you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion..
  • NVIDIA JetPack SDK brings the NVIDIA AI software stack to Jetson, along with application development and optimization tools. Software for specific use cases is available, including Isaac for robotics and Metropolis for smart cities, and you can save significant time developing your AI solution when you use your datasets with TAO toolkit to fine-tune pretrained AI models from the NGC catalog..
  • Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carr....
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Yahboom Jetson TX2 NX Development Kit,N-VIDIA TX2 Xavier NX Core Board Module, 2.5 Times The Performance of Jetson Nano

  • 【Cost-effective motherboard solution】The NVI-DIA Jetson TX2-NX delivers up to 2.5 times the performance of the Jetson NANO in the same form factor and pin compatibility. It is a rare and cost-effective development board solution..
  • 【Applications】TX2-NX development kit provides developers, engineers, and students with an affordable new option with greatly improved performance.Is the first choice for developing ROS educational robot, AI Computational Neural Network-SDK, AI edge computing Kit, vision robotic arm, ROS bionic robot.
  • 【Packing list】 The kit includes the installed jetson tx2-nx development board, power adapter, 2.4G/5G blue-tooth and wifi dual-band wireless network card, 128G solid state drive and corresponding cooling package.
  • TX2-NX consists of N-VIDIA's official core module and Yahboom carrier board. It combines the advantages of the Jetson Xavier NX developer kit and the Nvidia Jetson TX2 developer board kit to provide a cost-effective and powerful main controller for electronic enthusiasts, makers, and robot players. The size is only 100 mm x 80 mm x 29 mm, does not support TF card, comes with 16G eMMC. We provide 128GB SSD solid state drive for free, so that users have enough space for development and usage..
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Yahboom Jetson Nano 4GB SUB Developer Kit with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (UNO Balance Car)

  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, ....
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Jetson - World’s Only Seasonal Probiotic - Fit Formulation

  • ...hey work together to boost energy, debloat and pave the way for weight loss.
  • GUT HEALTH: A healthy gut is a MAJOR factor in overall wellness. An imbalanced gut can cause chronic inflammation. Achieving optimal gut health is done through probiotic strains that are DIVERSE and ALIVE. We do the work for you, Try all of JETSON's rotating formulas (FIT, IMMUNITY, MOOD, and SKIN).
  • PROBIOTICS REINVENTED: JETSON is a program, not a pill. Because we change our formulations every 3 months, we’re able to innovate at the speed of science. This means that we’re continually updating our ingredients to give you (and your gut) the best of the best. All of JETSON's formulas are GLUTEN FREE, VEGETARIAN, and NON-GMO!.
  • JETSON GUT COUNCIL: Our assembly of renowned doctors and health experts guide our product development and translate our research into digestible content, which allows us to accelerate our goal of elevating human health through the power of the gut.
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UCTRONICS Jetson Nano Rackmount, 19\ 1U Rack Mount Supports 1-4 Units, Front Removable with Captive Loose-Off Screws, Compatible with All Nvidia Jetson Nano A02 B01/ 2G Developer Kit

  • This 19-inch rackmount is specifically designed to house Jetson Nano boards, compatible with all models A02 B01, 2GB developer kit. The rackmount is also compatible with the Jetson Xavier NX, but the Bluetooth & wifi base on the bottom of it needs to be removed for a perfect fit..
  • This Jetson rackmount is capable of holding up to 4 modules, it allows you to enjoy rackmount solutions for multiple different types of SBCs..
  • Easy Installation: Fixed with exquisite captive loose-off screws. Perfectly protect your Jetson nano from falling to the ground. All you have to do is rotating the screws. The total installation process will not exceed 10 minutes..
  • Front Removable: Use Captive loose-off screws for true no-installation, no screwdriver is needed to introduce your module into the enclosure..
  • Application: This is a housing solution to optimize the workspace, simple and well made, providing an aesthetically pleasing way to keep things organized. It also can be used for Jetsons clusters, video walls, and so on.
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Waveshare 7.5inch E-Paper E-Ink Display HAT (B) for Raspberry Pi 800×480 Pixels Red/Black/White Three-Color with SPI Interface

  • No backlight, keeps displaying last content for a long time even when power down.
  • Ultra low power consumption, basically power is only required for refreshing.
  • Standard Raspberry Pi 40PIN GPIO extension header, supports Raspberry Pi series boards, Jetson Nano.
  • SPI interface, for connecting with controller boards like Raspberry Pi/Jetson Nano/STM32, etc..
  • Onboard voltage translator, compatible with 3.3V / 5V MCUs. Comes with development resources and manual (examples for Raspberry Pi/Jetson Nano/STM32).
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UpBright 3-Prong 42V AC/DC Adapter Compatible with Jetson Sphere JSPHER-BLK JSPHER-RED Magma JMGMA-BLK Aero JAERO-BLK Nitro JNITRO-BLK 36V 2.0Ah Lithium-ion Battery Hover Board FY0424201000 Charger

  • (⚠️Output 42V. with 3-Prong ✅ Connector. Someone may have bought it by mistake. Please Check For Compatibility With Your Unit. Thanks.) World....
  • UpBright New Global 3-Prong Connector 42V AC / DC Adapter Compatible with Jetson Sphere JSPHER JSPHER-BLK JSPHER-PUR JSPHER-TEL JSPHER-RED JSPHER-PNK....
  • Compatible with: Jetson Sphere JSPHER 36V 2.0Ah Lithium-Ion Li-ion All-Terrain Light-Up Scooter Hover board JSPHER-BLK JSPHER-PUR JSPHER-TEL....
  • Compatible with: Jetson Nitro JNITRO 36V 2.0Ah Lithium-Ion E-Scooter Electric Scooter Bluetooth Speaker Hover board JNITRO-BLK JNITRO-BLU JNITRO-RED....
  • ⚠️(Please Note! that the "Jetson Hover board" available in a number of different Models Number and Connectors. Please Make sure Your Model or P/N....
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Hiboy Electric Scooter Seat for Hiboy S2 MAX Electric Scooter Only

  • VHBW 42V 2A for Jetson Electric Bike Charger, Electric Scooter Charger Compatible with Hiboy s2 pro,Jetson Bolt Pro electrick Bike, Gotrax Sisigad Scooter, 1 Prong 5.5mm Plug UL Listed.
  • CHECK: You need to make sure voltage and plug interface are correct. This charger is 42V 2A to charge a 36V Lithium battery. The 1 prong plug barrel is 5.5 mm OD, 2.1 or 2.5 mm ID..
  • COMPATIBILITY: This electric scooter charger output is 42V which is typical to charge a 36V Lithium battery. Compatible with Jeton Bolt Pro electrick bike, Hiboy S2 Pro,Gotrax GLX V2, Apex, XR Ultra, XR Elite,G2,G3,G4,G MAX Ultra,Vibe scooter..
  • All-Round Protection: UL Listed designed with short-circuit protection, over-voltage protection, and many more advanced safety features to give you peace of mind..
  • What You Get: VHBW replacement Jetson electric bike charger, welcome guide, 18-month warranty, and friendly customer service..
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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
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