New BeagleBone® AI-64 SBC now available from stock at Farnell

BeagleBone® AI-64 SBC board is the first 64-bit open hardware single board computer from BeagleBoard.org designed for building performance-optimised embedded applications.

Farnell is now selling from stock the new BeagleBone^® AI-64 SBC board. This is the first 64-bit open hardware single board computer designed for building performance-optimised embedded applications and brings a complete artificial intelligence (AI) and machine learning system to developers.

BeagleBone® AI-64 SBC provides the convenience and expandability of the BeagleBone platform with all of the on-board peripherals required to start learning and building applications. The familiar BeagleBone cape headers provide industry-leading expansion possibilities with hundreds of open-source hardware examples and dozens of readily available off-the-shelf embedded expansion options. A simple web browser, power source and network connection are all that are needed to start building performance-optimised embedded applications.

BeagleBone® AI-64 builds on more than a decade of success in open hardware single board Linux computers. Harnessing the power of the Texas Instruments™ TDA4VM SoC with dual Arm Cortex-A72 cores, a programmable C7x DSP core, and deep learning, vision and multimedia accelerators, developers have access to faster analytics, more data storage options, more high-speed interfaces. This gives developers a vast amount of computing power in an easy-to-use platform and includes connectors to create applications such as autonomous robots and drones; smart buildings and factories; home security; retail automation; media servers; machine learning; machine vision and computer vision.

The new BeagleBone® AI-64 board feature set includes:

• Expandability - BeagleBone‘s cape header compatibility for expansion with existing add-on boards and ikroBUS™ Shuttle header provides access to hundreds of existing Click™ sensors and actuators.
• Memory - 4GB LPDDR4, 6GB eMMC flash with high-speed interface and a MicroSD card.
• High Speed Interfaces - M.2 E-key PCIe connector to interface with WiFi/Bluetooth adapters, USB 3.0 Type-C SuperSpeed interface for power input and data, two USB 3.0 Type-A SuperSpeed interface and Gigabit Ethernet.
• Camera and Display Connectors - Mini DisplayPort interface, 2* 4-Lane CSI connector for camera options, and a 4-Lane DSI connector for popular display types.
• User Interfaces – Boot, Reset and Power buttons, Power indication LED and five User LEDs. A 5V DC input power, UART and JTAG 10pin Tag-Connect™ for debug is also included.
• TDA4VM Dual 64-bit Arm Cortex-A72, 2.0GHz processor - Featuring aC7x floating point, vector DSP, 80 GFLOPS, 256 GOPS, deep-learning MMA and up to 8 TOPS (8b) up to 1.0 GHz.
• Vision Processing Accelerators (VPAC) - With Image Signal Processor (ISP) and multiple vision assist accelerators
• Vision Assist Accelerators – DMPAC, Dual 64-bit Arm Cortex-A72 microprocessor subsystem at up to 2.0 GHz, six Arm Cortex-R5F MCUs at up to 1.0 GHz, memory subsystem with up to 8MB of on-chip L3 RAM with ECC and coherency and 12 multichannel audio serial port modules.

For more information see the original Press Release.