BeagleY-AI

e14-publisher — Wed, 27 Mar 2024 13:10:14 GMT

Current Revision posted to Documents by e14-publisher on 3/27/2024 1:10:14 PM

BeagleY-AI

Manufactured By:beagleboard.org

Part Number:102991834

Buy Now

BeagleY-AI is built off BeagleBoard’s passion to broaden the growth of the OpenSource hardware ecosystem. In the last 2 years, BeagleBoard has launched 6 new boards focused on making IoT and AI more accessible. BeagleY-AI continues this trend offering improved efficiency and 4 TOPS of specialized AI processing power through the new Texas Instruments AM67 processor along with high-speed interfaces such as PCIe, USB3 and for the first time, Wifi 6 and BLE 5.4.

BeagleY-AI is an open-source single-board computer designed to simplify the process of building smart human-machine interfaces(HMI), adding cameras and high-speed connectivity to a reliable embedded system. It features a powerful 64-bit, quad-core A53 processor, multiple powerful AI accelerators paired with C7x DSPs, integrated 50 GFLOP GPU supporting up to 3 concurrent display outputs and modern connectivity including USB3.1, PCIe Gen 3, WiFi6 and BLE 5.4. The board is compatible with a wide range of existing accessories that expand the system functionality such as Power Over Ethernet(PoE), NVMe storage and 5G connectivity. With its competitive price and user-friendly design, Beagle Y AI provides a positive development experience using BeagleBoard's tried and tested custom Debian Linux image.

BeagleY®-AI users get started quickly and ramp AI performance to full throttle in applications such as:

● Robotics

● Factory and Building Automation

● Test & Measurement

● Medical

● Human-Machine Interfaces (HMIs)

● Intelligent Vision

o Image Classification

o Object Detection

o Semantic Segmentation

Features

Full-featured Computer for Today’s Embedded AI Workloads

● Texas Instruments AM67 system-on-chip (SoC)

○ Quad-core 64-bit Arm(R) Cortex-A53 CPU subsystem at 1.4GHz

○ Dual general-purpose DSP with Matrix Multiply Accelerator (MMA) capable of 4 TOPs

○ Arm(R) Cortex-R5 subsystem for low-latency I/O and control

○ GPU, video and vision accelerators, and other specialized processing capability

● Memory

○ 4GB LPDDR4

○ microSD card socket

○ Board identifier EEPROM

● Networking

○ BeagleBoard.org BM3301 module

■ WiFi 6 (IEEE802.11ax)

■ Bluetooth 5.4 with Bluetooth Low-Energy (BLE)

○ Gigabit Ethernet with power-over-Ethernet (PoE+) support via add-on

● 3 Simultaneous Displays

○ microHDMI

○ OLDI (LVDS) with touchscreen support

○ MIPI-DSI with touchscreen support (muxed with MIPI-CSI)

● Other I/O

○ PCI-Express® Gen3 x 1 interface (requires external adapter)

○ 4x USB3 (5Gbps) type-A host ports

○ 1x USB2 (480Mbps) type-C device port and power input

○ 40-pin expansion header

○ Fan power and control connector

● Debug

○ 3-pin JST-SH console UART

○ 10-pin TAG-CONNECT JTAG header

Required Tools

Accessory Tools

Documents

Getting Started Guide

Schematics

BeagleY-AI Github Repository

Downloads

Software

BeagleY-AI Debian XFCE 12.5 2024-03-25

BeagleY-AI Debian XFCE 12.5 2024-03-27

Tags: llm, beagley-ai, beagley, artificial intelligence, beagleboard.org, single_board_computers, ai, mcu, beagleboardorg, beagleboard, development_platforms_kits

BeagleY-AI

e14-publisher — Wed, 27 Mar 2024 13:09:19 GMT

Revision 2 posted to Documents by e14-publisher on 3/27/2024 1:09:19 PM

BeagleY-AI

Manufactured By:beagleboard.org

Part Number:102991834

Buy Now

BeagleY®-AI users get started quickly and ramp AI performance to full throttle in applications such as:

● Robotics

● Factory and Building Automation

● Test & Measurement

● Medical

● Human-Machine Interfaces (HMIs)

● Intelligent Vision

o Image Classification

o Object Detection

o Semantic Segmentation

Features

Full-featured Computer for Today’s Embedded AI Workloads

● Texas Instruments AM67 system-on-chip (SoC)

○ Quad-core 64-bit Arm(R) Cortex-A53 CPU subsystem at 1.4GHz

○ Dual general-purpose DSP with Matrix Multiply Accelerator (MMA) capable of 4 TOPs

○ Arm(R) Cortex-R5 subsystem for low-latency I/O and control

○ GPU, video and vision accelerators, and other specialized processing capability

● Memory

○ 4GB LPDDR4

○ microSD card socket

○ Board identifier EEPROM

● Networking

○ BeagleBoard.org BM3301 module

■ WiFi 6 (IEEE802.11ax)

■ Bluetooth 5.4 with Bluetooth Low-Energy (BLE)

○ Gigabit Ethernet with power-over-Ethernet (PoE+) support via add-on

● 3 Simultaneous Displays

○ microHDMI

○ OLDI (LVDS) with touchscreen support

○ MIPI-DSI with touchscreen support (muxed with MIPI-CSI)

● Other I/O

○ PCI-Express® Gen3 x 1 interface (requires external adapter)

○ 4x USB3 (5Gbps) type-A host ports

○ 1x USB2 (480Mbps) type-C device port and power input

○ 40-pin expansion header

○ Fan power and control connector

● Debug

○ 3-pin JST-SH console UART

○ 10-pin TAG-CONNECT JTAG header

Required Tools

Accessory Tools

Documents

Schematics

BeagleY-AI Github Repository

Downloads

Software

BeagleY-AI Debian XFCE 12.5 2024-03-25

BeagleY-AI Debian XFCE 12.5 2024-03-27

Tags: llm, beagley-ai, beagley, artificial intelligence, beagleboard.org, single_board_computers, ai, mcu, beagleboardorg, beagleboard, development_platforms_kits

BeagleY-AI

e14-publisher — Wed, 27 Mar 2024 13:05:46 GMT

Revision 1 posted to Documents by e14-publisher on 3/27/2024 1:05:46 PM

BeagleY-AI

Manufactured By:beagleboard.org

Part Number:102991834

Buy Now

BeagleY®-AI users get started quickly and ramp AI performance to full throttle in applications such as:

● Robotics

● Factory and Building Automation

● Test & Measurement

● Medical

● Human-Machine Interfaces (HMIs)

● Intelligent Vision

o Image Classification

o Object Detection

o Semantic Segmentation

Features

Full-featured Computer for Today’s Embedded AI Workloads

● Texas Instruments AM67 system-on-chip (SoC)

○ Quad-core 64-bit Arm(R) Cortex-A53 CPU subsystem at 1.4GHz

○ Dual general-purpose DSP with Matrix Multiply Accelerator (MMA) capable of 4 TOPs

○ Arm(R) Cortex-R5 subsystem for low-latency I/O and control

○ GPU, video and vision accelerators, and other specialized processing capability

● Memory

○ 4GB LPDDR4

○ microSD card socket

○ Board identifier EEPROM

● Networking

○ BeagleBoard.org BM3301 module

■ WiFi 6 (IEEE802.11ax)

■ Bluetooth 5.4 with Bluetooth Low-Energy (BLE)

○ Gigabit Ethernet with power-over-Ethernet (PoE+) support via add-on

● 3 Simultaneous Displays

○ microHDMI

○ OLDI (LVDS) with touchscreen support

○ MIPI-DSI with touchscreen support (muxed with MIPI-CSI)

● Other I/O

○ PCI-Express® Gen3 x 1 interface (requires external adapter)

○ 4x USB3 (5Gbps) type-A host ports

○ 1x USB2 (480Mbps) type-C device port and power input

○ 40-pin expansion header

○ Fan power and control connector

● Debug

○ 3-pin JST-SH console UART

○ 10-pin TAG-CONNECT JTAG header

Required Tools

Accessory Tools

Documents

Schematics

BeagleY-AI Github Repository

Downloads

Software

BeagleY-AI Debian XFCE 12.5 2024-03-25

Tags: llm, beagley-ai, beagley, artificial intelligence, beagleboard.org, single_board_computers, ai, mcu, beagleboardorg, beagleboard, development_platforms_kits