Reviews Compute Software

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  • 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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  • 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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Compute Module DSI Display Adapter, 22PIN to 15PIN Adapter, for Official Compute Module 4 IO Board and Waveshare Compute Module IO Board,Compute Module IO Board Plus

  • Compute Module DSI display adapter, 22PIN to 15PIN, allowing the Compute Module to use 15PIN DSI displays.
  • Suitable for Compute Module IO Board,connecting with Compute Module 4 IO Board.
  • Suitable for connecting with Waveshare Compute Module IO Board Plus.
  • Support all Waveshare DSI LCD, such as 4.3inch DSI LCD,5inch DSI LCD,4.3inch DSI LCD (with Case).
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  • 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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waveshare Original Raspberry Pi Compute Module 4 IO Board for All Variants of Compute Module 4,with Real-Time Clock Dual MIPI DSI/CSI Interfaces,USB Connectors

  • The Compute Module 4 IO Board is a companion board for all variants of Raspberry Pi Compute Module 4(supplied separately). It is designed for use both as a development system for Compute Module 4 and as an embedded board integrated into end products..
  • The Compute Module 4 IO Board is designed to allow you to create systems quickly using off-theshelf parts such as HATs and PCIe cards, which might include NVMe, SATA, networking, or USB. The major user connectors are located along one side to make enclosures simple..
  • Connectors: Standard Raspberry Pi HAT connectors with PoE support. Standard PCIe Gen 2 x1 socket. Various jumpers to disable specific features, e.g. wireless connectivity, EEPROM writing..
  • RTC : Real-time clock with battery socket and ability to wake Compute Module 4 Video: 2 x MIPI DSI display FPC connectors (22-pin 0.5 mm pitch cable) Camera: 2 x MIPI CSI-2 camera FPC connectors (22-pin 0.5 mm pitch cable).
  • USB: 2 x USB 2.0 connectors. Micro USB socket for updating Compute Module 4. Ethernet: Gigabit Ethernet RJ45 with PoE support..
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NVIDIA T400

  • Powered by NVIDIA Turing GPU architecture, NVIDIA T400 delivers up to 60% more performance than the previous generation..
  • Works with 2D/3D modeling or video editing multi-application workflows with higher levels of interactivity..
  • Ensures hardware compatibility and stability through NVIDIA support of the latest OpenGL, DirectX, Vulkan, and NVIDIA CUDA standards, deep ISV developer engagements, and certification with over 100 professional software applications..
  • Enables creation and playback of H.264 and HEVC video with dedicated decode and encode engines that are independent of the 3D graphics and compute pipeline..
  • With support for DisplayPort 1.4, NVIDIA T400 can drive three displays natively or a maximum of up to three 5K displays or one 8K display per card. Combine up to four NVIDIA T400s in a single system to create display walls or other immersive environments..
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Dual Gigabit Ethernet Base Board Designed for Raspberry Pi Compute Module 4 Lite/EMMC Series Module, Include ETH/CSI/DSI/RTC/HDMI/Micro SD/USB Interfaces, Powerful Ethernet Capability

  • 【Powerful Ethernet Capability】Dual Gigabit Ethernet Base Board designed for Raspberry Pi Compute Module 4, suitable for evaluating the Raspberry Pi CM4 or being integrated into end products.
  • 【Connecting with Compute Module 4】Standard CM4 socket and color-coded Raspberry Pi 40PIN GPIO header, suitable for Compute Module 4 Lite/EMMC series module.
  • 【Rich Interfaces】Providing interfaces including ETH/CSI/DSI/RTC/HDMI/Micro SD/USB.
  • 【FAN Header】5V/12V, allows speed adjustment and measurement.
  • 【SD Card Slot】MicroSD card socket for Compute Module 4 Lite (without eMMC) variants.
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Dedicated Aluminum Heatsink for Raspberry Pi Compute Module 4 (CM4), Notched for Antenna

  • Dedicated Aluminum Heatsink for Raspberry Pi Compute Module 4：Dedicated aluminum heatsink, corrosion / oxidation resisting, better heat dissipation.
  • For CM4 & based board：matching with the CM4 on size and mounting holes, fast heat dissipation.
  • Notched for antenna section：no hindrance to the antenna.
  • Using with base board: for Official Compute Module 4 IO Board or Waveshare Compute Module 4 PoE Board.
  • Note: Only HEATSINK,not include base board.
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Waveshare Compute Module IO Board Plus Development Composite Breakout Board for Developing with Raspberry Pi CM3 CM3L Various Common Use Components

  • The Compute Module IO Board Plus is a development board which you can plug a Raspberry Pi Compute Module into, and make use of the resources of Pi more flexibly. It is compatible with the Compute Module IO Board V3 from the Raspberry Pi Foundation, along with various common use components..
  • Compatible with the Compute Module IO Board V3 from the Raspberry Pi Foundation Raspberry Pi GPIO header, for connecting sorts of Raspberry Pi HATs.
  • connectivity, also supports shields 1-WIRE interface, for connecting single-bus devices like DS18B20 4x keys, 4x LEDs, 1x Buzzer, for I/O testing.
  • Onboard USB HUB, allows connecting more USB devices IR receiver, IR remote control is available Onboard USB TO UART, for serial debugging Sensor interface.
  • 10-bit ADC, 38KSPS, 11-ch (6-ch for interface, 5-ch for sensors) 16-bit DAC, 2-ch Onboard RTC, one of the most common and useful functions.
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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)

  • ...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, 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 Jetson family of products and is fully compatible with N's world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
  • ★★★Very important: 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.
  • 4GB SUB B01 substitute ≠ official B01 (slight difference),.
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