NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)
      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)
      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)
      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)
      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)

      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)

      WS-17700 (945-13450-0000-100)
      €334.80

      279.00 € tax excl.

      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)

      Quantity :
      OUT OF STOCK

      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)

      NVIDIA Jetson Nano Developer Kit, New B01 Revision, Upgraded 2-lanes CSI, Small AI Computer
      Jetson Nano Developer Kit Upgraded B01 Ver.

      The New B01 Revision Released At Early 2020 By NVIDIA, Upgraded Functionality

      Jetson-Nano-Developer-Kit-intro_960.jpg

      NVIDIA Jetson Nano 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.

      Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.

      Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.

      Supports 2-Lanes CSI Camera

      Upgraded 2-Lanes CSI, Instead Of The Previous 1-Lane, Easily Play Around With Binocular Vision

      Jetson-Nano-Developer-Kit-vs.jpgJetson-Nano-Developer-Kit-B01-2_960.jpg
      Either Jetson Nano OR Jetson Xavier NX

      The New Designed Carrier Board Is Compatible With 
      Either Jetson Nano OR Jetson Xavier NX
      Convenient For Hardware Upgrading

      jetson-vs_960.jpgJetson-Nano-Developer-Kit-B01-5_960.jpg
      Introduction
      Jetson Nano Developer Kit (B01) on board resource
      1. Micro SD card slot: insert a 16GB or larger TF card for main storage and writing system image
      2. 40-pin expansion header
      3. Micro USB port: for 5V power input or for USB data transmission
      4. Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation
      5. 4x USB 3.0 port
      6. HDMI output port
      7. DisplayPort connector
      8. DC jack: for 5V power input
      9. 2x MIPI CSI camera connector
      Specifications

      GPU 128-core Maxwell
      CPU Quad-core ARM A57 @ 1.43 GHz
      MEMORY 4 GB 64-bit LPDDR4 25.6 GB/s
      STORAGE micro SD card (NOT included. Recommendation: Micro SD Card 16GB)
      VIDEO ENCODER 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
      VIDEO DECODER 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
      CAMERA 2x MIPI CSI-2 DPHY lanes
      CONNECTIVITY Gigabit Ethernet, M.2 Key E expansion connector (Recommendation: AC8265 Dual-mode NIC)
      DISPLAY HDMI and DP
      USB 4x USB 3.0, USB 2.0 Micro-B
      EXTENSION INTERFACES GPIO, I2C, I2S, SPI, UART
      Documents 
      Older version :
      945-13450-0000-000
      DEV-15297 , DEV-16271
      SE-102110268
      SE-102110417
      WS-16382
      UPC 614961954373 , 812674024356,17700
      301-43-589
      NVIDIA
      WS-17700 (945-13450-0000-100)

      Specific References

      NVIDIA Jetson Nano Developer Kit (B01) Upgraded 2-lanes CSI (WS-17700)

      €334.80

      279.00 € tax excl.