BeagleY-AI SBC with GPU, DSP and AI Accelerators

  • BrandBeagleBoard

Description

BeagleY-AI is a low-cost, open-source, and powerful 64-bit quad-core single-board computer, equipped with a GPU, DSP, and vision/deep learning accelerators, designed for developers and makers.

Users can take advantage of BeagleBoard.org's provided Debian Linux software images, which include a built-in development environment. This enables the seamless running of AI applications on a dedicated 4 TOPS co-processor, while simultaneously handling real-time I/O tasks with an 800 MHz microcontroller.

BeagleY-AI is designed to meet the needs of both professional developers and educational environments. It is affordable, easy to use, and open-source, removing barriers to innovation. Developers can explore in-depth lessons or push practical applications to their limits without restriction.

Specifications

Processor TI AM67 with quad-core 64-bit Arm Cortex-A53, GPU, DSP, and vision/deep learning accelerators
RAM 4 GB LPDDR4
Wi-Fi BeagleBoard BM3301 module based on TI CC3301 (802.11ax Wi-Fi)
Bluetooth Bluetooth Low Energy 5.4 (BLE)
USB • 4x USB-A 3.0 supporting simultaneous 5 Gbps operation
• 1x USB-C 2.0 supports USB 2.0 device
Ethernet Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT)
Camera/Display 1x 4-lane MIPI camera/display transceivers, 1x 4-lane MIPI camera
Display Output 1x HDMI display, 1x OLDI display
Real-time Clock (RTC) Supports an external button battery for power failure time retention. It is only populated on EVT samples.
Debug UART 1x 3-pin debug UART
Power 5 V/5 A DC power via USB-C, with Power Delivery support
Power Button On/Off included
PCIe Interface PCI-Express Gen3 x1 interface for fast peripherals (requires separate M.2 HAT or other adapter)
Expansion Connector 40-pin header
Fan connector 1x 4-pin fan connector, supports PWM speed control and speed measurement
Storage microSD card slot, with support for high-speed SDR104 mode
Tag Connect 1x JTAG, 1x Tag Connect for PMIC NVM Programming

Downloads


Product form

BeagleY-AI is a low-cost, open-source, and powerful 64-bit quad-core single-board computer, equipped with a GPU, DSP, and vision/deep learning accelerators,... Read more

€ 89,95 incl. VAT
Members identical

      Details

      SKU: 20991
      EAN: 102991834

      Description

      BeagleY-AI is a low-cost, open-source, and powerful 64-bit quad-core single-board computer, equipped with a GPU, DSP, and vision/deep learning accelerators, designed for developers and makers.

      Users can take advantage of BeagleBoard.org's provided Debian Linux software images, which include a built-in development environment. This enables the seamless running of AI applications on a dedicated 4 TOPS co-processor, while simultaneously handling real-time I/O tasks with an 800 MHz microcontroller.

      BeagleY-AI is designed to meet the needs of both professional developers and educational environments. It is affordable, easy to use, and open-source, removing barriers to innovation. Developers can explore in-depth lessons or push practical applications to their limits without restriction.

      Specifications

      Processor TI AM67 with quad-core 64-bit Arm Cortex-A53, GPU, DSP, and vision/deep learning accelerators
      RAM 4 GB LPDDR4
      Wi-Fi BeagleBoard BM3301 module based on TI CC3301 (802.11ax Wi-Fi)
      Bluetooth Bluetooth Low Energy 5.4 (BLE)
      USB • 4x USB-A 3.0 supporting simultaneous 5 Gbps operation
      • 1x USB-C 2.0 supports USB 2.0 device
      Ethernet Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT)
      Camera/Display 1x 4-lane MIPI camera/display transceivers, 1x 4-lane MIPI camera
      Display Output 1x HDMI display, 1x OLDI display
      Real-time Clock (RTC) Supports an external button battery for power failure time retention. It is only populated on EVT samples.
      Debug UART 1x 3-pin debug UART
      Power 5 V/5 A DC power via USB-C, with Power Delivery support
      Power Button On/Off included
      PCIe Interface PCI-Express Gen3 x1 interface for fast peripherals (requires separate M.2 HAT or other adapter)
      Expansion Connector 40-pin header
      Fan connector 1x 4-pin fan connector, supports PWM speed control and speed measurement
      Storage microSD card slot, with support for high-speed SDR104 mode
      Tag Connect 1x JTAG, 1x Tag Connect for PMIC NVM Programming

      Downloads


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