Quartz64 Zero SBC: Featuring Rockchip RK3566T with ARM Cortex-A55 and Mali-G52

Quartz64 Zero SBC from Pine64 is a small and inexpensive single-board computer. This board incorporates the Rockchip RK3566T SoC, which comprises a quad-core ARM Cortex-A55 1.6GHz CPU and a Mali-G52-2EE GPU. It can drive a single 4K display at 60fps and remains cool even when under severe load without a heatsink. The Quartz64 Zero is designed for hobbyists and commercial applications, with expandable capabilities and a long-term supply guarantee.

This SBC comes with 1GB of LPDDR4 memory, an optional eMMC module (up to 128GB), and a microSD slot for booting. It also has Wi-Fi/Bluetooth with a flexible antenna, a custom PCIe connector, a USB 3.0 Type-A host port, and interfaces like UART, SPI, and I2C, making it easy to integrate sensors and other peripherals.

In our previous post, we wrote about Orange Pi 3B V2.1 which is a Rockchip RK3566 SBC with WiFi 5 and Bluetooth 5, MicroSD, Gigabit Ethernet, USB, and more. Feel free to check this out if you are interested in this product.

QUARTZ64 Zero Top View

The Quartz64 Zero specification:

  • Processor: Rockchip RK3566T SoC
    • CPU:
      • Application: Quad-core Arm Cortex-A55 processor @ 1.6 GHz
      • Real-time:  Embedded 32-bit RISC-V MCU
    • GPU: Arm Mali-G52 2EE Bifrost graphics processor running at up to 800MHz. Supports a single 4K display at 60fps with the open-source Panfrost driver
    • NPU: 0.8 tera-operations per second (TOPS)
  • Memory/Storage:  
    • 1GB LPDDR4 RAM
    • Optional eMMC module (up to 128GB)
    • MicroSD slot for booting
  • Connectivity:
    • 802.11 B/G/N/AX Wi-Fi
    • Bluetooth 5.4 with a flexible antenna
    • Ethernet port (optional)
  • Interfaces:
    • 1x USB 3.0 Type-A host port
    • Custom PCIe connector
    • 40-pin general-purpose input/output GPIO header with UART, SPI, I2C
    • 4Kp60 10-bit Digital Video port
    • USB Type-C for power input
  • Expansion:
    • Easily integrates sensors and other peripherals
    • Custom PCIe Connector
  • Power Supply: 5V/3A DC-in
  • Dimension: 90mm x 60mm
  • Weight: 0.022 kg

As usual for PINE64, the Quartz64 Zero is launched as a “community edition.” The hardware is finalized, but the software is still a work in progress. The board should be compatible with OS images for earlier Quartz64 parts, including Armbian, DietPie, Plebian, Manjaro Arm Linux, NetBSD, and Android 11. However, it is unclear if modifications are needed for a successful boot and stable operation.

Quartz64 Zero is now available on its official pine64 store at $14.99 and it is also available on Ameridroid at $24.95 without shipping charges.

Windows 11 IoT Enterprise 2024 LTSC Now Available for Embedded and IoT Devices

Windows 11 IoT Enterprise 2024 LTSC is a new operating system for embedded and IoT devices. It offers enhanced features like Wi-Fi 6/7 and USB 4 support, along with advanced security and device management capabilities. Microsoft provides two update models, CBB/GAC and LTSC, for different applications and different needs. The pricing model remains unchanged, with licenses based on processor type and performance.

Based on Windows 11 version 24H2, this LTSC version includes all its updates. It supports Wi-Fi 6/7 and USB 4, improving connectivity and data transfer speeds. Microsoft ensures a decade of support with regular security updates, keeping devices protected throughout their lifespan. The pricing model for Windows 11 IoT Enterprise 2024 LTSC remains the same, based on the processor type and performance. Microsoft now offers specific ARM64 licenses, build for those who are in of ARM processors in embedded systems. For detailed pricing, contact Microsoft representatives or authorized resellers.

Windows 11 IoT Enterprise 2024 LTSC is a new operating system for embedded and IoT devices. It offers enhanced features like Wi-Fi 6/7 and USB 4 support, along with advanced security and device management capabilities.

Microsoft Windows 11 IoT Enterprise Update Models

  • CBB/GAC (Current Branch for Business/General Availability Channel): Annual kernel feature updates with regular security and other updates.
  • LTSC (Long-Term Servicing Channel): Focuses on stability with an unchanged kernel, eliminating unexpected feature updates. Security updates are available and can be managed by device manufacturers.

This new embedded OS includes security features like System Guard, attack surface area reduction, and the Windows Security App. These tools protect against modern threats and ensure your IoT systems are safe. The OS also offers advanced app management capabilities, with features like Windows Sandbox and Microsoft Defender Application Guard for extra protection. The OS maintains a minimum memory requirement of 2GB, making it accessible for more devices. It supports flexible image size configuration with removable packages, allowing optimized deployments for specific hardware.

Windows 11 Enterprise 2024 LTSC builds on Windows 11 version 24H2 adding IoT features designed to address the needs device builders such as:

  • Advanced protection against modern security threats with System Guard, Attack surface area reduction and Windows Security App
  • Full flexibility of OS deployment with SetupDiag and the latest ADK/MDT
  • Updating and support options
  • Comprehensive device and app management and control capabilities through Windows Sandbox and Microsoft Defender Application Guard
  • Staying with the 2 GB minimum Memory requirement is Microsoft‘s response to the industry feedback
  • 16 GB Storage is the minimum hardware requirement, but optional image size configuration is possible with removable packages (up to 30 packages)
  • TPM is optional
  • DirectX10+ Graphics is required
  • Dolby Codecs are no longer included in the licenses and have to be sourced from Dolby

More information about the Windows 11 IoT Enterprise 2024 can be found on the Avnet site.

AIC8800 Wi-Fi 6 USB Adapter 2.4GHz Wi-Fi 6 USB Adapter only costs $3

The AIC8800 Wi-Fi 6 USB Adapter is an AX300 USB adapter based on the AIC8800 chipset, the more adept sells on Aliexpress for under $3 and can be considered one of the cheapest Wi-Fi 6 USB Adapters that can be found on the market. The adapter only supports 2.4GHz Wi-Fi and does not support 5GHz, but despite its limitations, it offers a cost-effective way to add WiFi 6 capabilities to devices.

The AIC8800 chipset from AICSemi powers this WiFi 6 USB adapter, offering speeds of up to 286.8 Mbps on the 2.4 GHz band. It supports MU-MIMO and OFDMA technologies and functions as a station, access point, or in WiFi Direct mode. While it provides WEP and WPA/WPA2 security, it lacks WPA3. The adapter connects via a USB 2.0 port and measures 196mm with the antenna. It’s designed to operate in humidity levels ranging from 5% to 95% (noncondensing), with storage humidity tolerance up to 90% (noncondensing).

The Aliexpress listing states drivers are available for Windows 7/10/11. This AIC8800 chipset is also found in the Tenda W311MI v6.0 and Tenda U2 v5.0, both of which have available Linux drivers. These drivers may work with other AIC8800 adapters, potentially requiring USB Vendor and Product ID adjustments. While the W311MI v6.0 is hard to find, the BrosTrend AX5 on Amazon appears similar. Note that older W311MI versions only support WiFi 4. Additionally, there are variations of the AIC8800 chipset, such as the AIC8800D in the Avaota A1 SBC, which offers dual-band WiFi 6 and Bluetooth 5.4, unlike the 2.4GHz-only version in this adapter.

AICSemi offers various WiFi 6 chipsets, including dual-band and single-band options with Bluetooth 5.2. However, detailed information about features like TWT support is lacking on their website. Notably, WPA3 security isn’t mentioned. A datasheet released by Pine64 on June 26, 2024, for the AIC8800DC confirms support for WPA3SAE Personal and TWT.

By cnx-software

SB Components StackyFi A ESP32-S3 Board in Raspberry Pi Zero From Factor

SB Components StackyFi is an ESP32-S3 powered development board in a Raspberry Pi Zero Form Factor. The board features a 40-pin GPIO header which is compatible with most Raspberry Pi HAT. The board also has dual USB-C ports (one native, one for serial debugging), an IMU sensor, an RGB LED, and Boot/Reset buttons. The board also features a LiPo battery and can also be charged and powered through that USB. All these features make this device useful for smart homes, security systems, and much more.

Previously we have written many products around ESP32-S3 like LILYGO’s T3-S3 ESP32-S3, the LILYGO T3S3 E-Paper, the LILYGO T-Energy-S3 and many more feel free to check that out if you are looking for for ESP32 based products.

SB Components StackyFi Dev Board Specifications

  • Processor: ESP32-S3 WROOM 1, dual-core 32-bit LX7 up to 240 MHz
  • Memory:
    • 384 KB ROM
    • 512 KB SRAM
    • Up to 16 MB Flash
    • Up to 8 MB PSRAM
  • Sensor: QMI8658C 6D MEMS IMU (accelerometer and gyroscope)
  • Wireless Connectivity:
    • 2.4 GHz Wi-Fi (802.11 b/g/n)
    • Bluetooth® 5 (LE)
  • Compatibility:
    • Supports most Raspberry Pi HATs
    • Mirrors Raspberry Pi pin functionality
  • Interfaces:
    • 40-pin GPIO header
    • 2x USB Type-C ports (1x OTG, 1x serial)
    • MicroSD card slot
    • FPC connector for OV2640 camera module
    • 2-pin LiPo battery connector
  • Other Features:
    • Programmable WS2812B RGB LED
    • Boot and Reset buttons
  • Programming:
    • Arduino IDE
    • MicroPython
    • CircuitPython
  • Power: 5V DC via USB or LiPo battery
  • Dimensions: 65 x 30 mm (Raspberry Pi Zero form factor)

Video

SB Components claims the StackyFi board is open-source and supports Arduino IDE, MicroPython, and CircuitPython. However, when it comes to documentation there are many key aspects they are missing. The documentation lacks key technical details like memory capacity, and the company also provides schematics which are also very unclear. While they claim Raspberry Pi HAT compatibility, the company does not provide any evidence of that. More information is expected on GitHub after the crowdfunding campaign.

High Torque Robotics Mini π – A Orange Pi 5 based Bipedal Robot with Model Predictive Control

High Torque Robotics Mini π is a 54cm tall bipedal robot built around the Orange Pi 5 SBC with Rockchip RK3588S for better performance and control. The robot has 12 degrees of freedom(DOF) with 12 custom joint motors, allowing it to walk, dance, run, jump, and flip. Designed for research and education, it supports advanced algorithms like ZMP(zero moment point), MPC(Model Predictive Control), reinforcement learning, and ROS SLAM for navigation.

In our previous post, we wrote about Amy Robots which is an innovative technology company focusing on research and development of service robots that enhance quality of life with robotic technologies, products, and services.  Feel free to check this out if you are interested in this product.

High Torque Robotics Mini π Specification:

  • SBC: Orange Pi 5
    • SoC: Rockchip RK3588
    • CPU: Octa-core with 4x Cortex-A76 cores (up to 2.4 GHz) and 4x Cortex-A55 cores (up to 1.8 GHz)
    • GPU:  Arm Mali-G610 MP4, supports OpenGL ES1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2
  • Control Board: Independently developed board with 4 CAN buses each supporting a maximum baud rate of 5Mbps for FD-CAN
  • Joint Motor: 
  • Movement speed: 1.5 m/s
  • Jump Distance: up to 2 cm
  • Payloads: 5 kg
  • Degree of Freedom: 6 DoF per leg
  • Sensors: High-Performance IMU
  • Number of Battery: 1
  • Working Voltage: 24V
  • Standing height: 542 mm
  • Weight: 7 kg with battery

High Torque Robotics said the Mini π comes with a robot test stand and trolley case. For more details, visit the Hackster.io project page. There, you can find the schematic, locomotion control algorithm code, and more information about the joint motors. High Torque Robotics says the robot is open-source, and the algorithm is simulated and verified on the 12 DOF Mini π. The open-source code is available on GitHub.

High Torque’s official page offers three distinct Mini π robot configurations. The “Basic Configuration of Motion Control Board” is available in two options, priced at $7,600.00 and $8,711.00 respectively. For those seeking advanced capabilities, the “Perception Version Configuration (Orin + Main Control + IMU)” comes equipped with additional features and is priced at $11,950.00.

Khadas Mind Graphics eGPU features NVIDIA GeForce RTX 4060 Ti

Khadas has introduced the Mind Graphics eGPU, which features the NVIDIA GeForce NVIDIA  Ti. This external GPU enhances performance for creative design, video rendering, and gaming. Key features include DLSS 3 technology for smoother frame rates, AV1 encoding for better video compression, and support for up to four screens through various ports including Thunderbolt 4/3 USB-C, HDMI 2.1a, and DisplayPort 1.4a. The eGPU is a versatile hub with a built-in microphone array, dual-driver speaker system, and 85W PD fast charging. Housed in a 2.5L Al-Si-Cu die-cast aluminum alloy chassis this can be used for applications like Creative Design, Gaming, Video Rendering, and much more.

Previously we have written about ADT-Link UT3G a USB4 to PCIe x16 eGPU adapter, which is a GPU adapter that costs only $129.0 and can hold an RTX4090, feel free to check that out if you are looking for something cheap and useful.

Khadas Mind Graphics eGPU Specifications

  • Processor and GPU:
    • NVIDIA GeForce RTX 4060 Ti Desktop GPU (8GB GDDR6)
    • Mind Link Max Speed: 128 GT/s
  • Memory and Storage:
    • Not specified
  • Display and Graphics:
    • 2× HDMI 2.1a (Supports 4K/240Hz or 8K/60Hz)
    • 1× DisplayPort 1.4a (Supports 4K/240Hz or 8K/60Hz)
  • Audio:
    • Built-in dual speaker system for an immersive audio experience
    • 1× Headphone Jack 3.5mm with Mic support
    • 1× Far-field Microphone Array
  • Connectivity:
    • 1× USB-C (Supports USB4/ThunderBolt4/ThunderBolt3)
    • 3× USB-A 3.2 Gen 2 (10Gbps)
    • 1× Ethernet (2.5Gbps)
    • 1× SD Card 4.0 (200MB/s)
    • 1× Mind Link
  • Enclosure:
    • CNC unibody aluminum enclosure
  • Security:
    • Millisecond fingerprint registration and login
  • Power:
    • Not specified
  • Miscellaneous:
    • 1× Speaker

The Mind Graphics eGPU Module integrates a microphone array, dual-driver speaker system, and 85W PD fast charging, streamlining setup by combining GPU performance and device charging into one solution. Khadas emphasizes the 2.5L chassis made from Al-Si-Cu die-cast aluminum alloy, offering durability and a premium look.

Khadas Mind Graphics eGPU costs only $999 and is available on Khadas shop now, you can also purchase it from Amazon from August 1st. Includes everything you need.

The New OrangePi 5 Max Features 2.5GbE Ethernet and M.2 M-Key Slot for Expansion

Orange Pi has introduced a new single-board computer called the OrangePi 5 Max. It is powered by the octa-core Rockchip RK3588 and features a 2.5GbE LAN port and an M.2 M-Key slot. It also includes LPDDR5 RAM, eMMC, microSD, and M.2 storage options. Additionally, it has Wi-Fi 6E + BT 5.3/BLE, dual HDMI 2.1 outputs, multiple camera interfaces, USB 3.0 and 2.0 ports, and a 40-pin GPIO expansion port. It supports various operating systems, including OrangePi OS, Ubuntu, Debian, and Android 12.

Previously we have written about many Orange Pi SBCs including ORANGE PI 3B, ORANGE PI 3B V2.1, Orange Pi 5 Pro, and many other SBCs feel free to check those out if you are interested in the topic.

OrangePi 5 Max Specifications

  • Processor: Rockchip RK3588 (8nm LP process)
    • 8-core 64-bit processor
    • 4x Cortex-A76 @ 2.4GHz, 4x Cortex-A55 @ 1.8GHz
    • Independent NEON coprocessor
  • Graphics: ARM Mali-G610 GPU
    • Fully compatible with OpenGL ES1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2
  • Neural Processing Unit (NPU): Embedded NPU supports INT4/INT8/INT16/FP16 hybrid computing with up to 6TOPS
  • Power Management Unit (PMU): RK806-1
  • Memory:
    • LPDDR5 496PIN: 4GB, 8GB, 16GB optional
    • eMMC Flash Sockets (default), onboard eMMC (customizable): 32GB, 64GB, 128GB, 256GB optional
    • QSPI Nor FLASH: 16MB
    • MicroSD card slot
    • M.2 M-KEY slot: Supports NVMe SSD (PCIe 3.0 4Lane)
  • USB:
    • 2x USB 3.0
    • 2x USB 2.0
  • Video Output:
    • 2x HDMI 2.1, up to 8k@60FPS
    • 1x MIPI DSI TX 4 Lane
  • Camera Interfaces:
    • 2x MIPI CSI 4 Lane
    • 1x MIPI D-PHY RX 4 Lane
  • Audio:
    • CODEC: ES8388
    • 1x Audio 3.5mm jack with mic
    • 1x MIC In
    • 1x HDMI 2.1 eARC
  • Ethernet: 1x PCIe 2.5G LAN (RTL8125BG)
  • Wi-Fi + Bluetooth:
    • Onboard Wi-Fi 6E + BT 5.3/BLE module: AP6611
    • Wi-Fi interface: SDIO 3.0
    • Bluetooth interface: UART/PCM
  • Expansion Port:
    • Dual-row pin: 2.54mm 40Pin
    • Supports DC 5V and 3.3V power output
    • Configurable UART, PWM, I2C, SPI, CAN, GPIO, and other functional interfaces
  • Buttons:
    • 1x BOOT key
    • 1x On/Off key
  • Power Source: Supports Type-C power supply, 5V @ 5A
  • LED: RGB LED Side Illumination
  • Fan: 5V 2PIN 1.25mm socket
  • RTC: 3V 2PIN 1.25mm socket
  • Debugging: Debug serial UART included in 40PIN expansion port
  • Supported OS:
    • Orangepi OS (Droid), Orangepi OS (Arch),Orangepi OS (OH),Ubuntu,Debian, Android 12
  • Dimensions:
    • PCB Length: 89mm
    • PCB Width: 57mm
    • PCB Thickness: 1.6mm
  • Weight: 62g

The OrangePi 5 Max supports multiple operating systems, including OrangePi OS (Droid, Arch, OH), Ubuntu, Debian, Android 12 and much more information about that can be found on their wiki page. Additionally, you can check out their products page for more information.

The Orange Pi 5 Max is priced at $95 for the 8GB RAM model and $125 for the 16GB RAM model, according to Orange Pi’s X account. The 4GB model, while mentioned, is not currently listed on their AliExpress page.

Unlocking the Potential of Agilex 5 System on Module in AI Development

Artificial Intelligence (AI) has transformed various industries, offering transformative solutions that enhance efficiency, accuracy, and decision-making processes. iWave enables innovation at the edge with embedded platforms enhancing innovation at the edge for Artificial intelligence, Media processing, Robotics and visual computing.

iWave is excited to launch iW-RainboW-G58M, powered by the Intel Agilex 5, which is the first FPGA with AI infused into the fabric. The SoM is built for applications in fields such as medical, robotics, and industry that need efficient, high-performance custom logic with AI/ML hardware support.

The System on Module (SoM) is built in a compact form factor of 60mm x 70mm and is compatible with the Intel Agilex® 5 FPGA and SoC E-Series family and B32A package in two device variants:

  • Group A: A5E 065A/052A/043A/028A/013A SoC FPGA
  • Group B: A5E 065B/052B/043B/028B/013B/008B SoC FPGA

Intel Agilex® 5 FPGAs and SoCs enhanced the industry’s first AI tensor block from Intel’s previous AI-optimized FPGA for general purpose, mid-range FPGAs in Intel Agilex® 5 FPGAs, making them an ideal choice for edge AI applications. The Agilex® 5 FPGA features an asymmetric applications processor system consisting of dual Arm Cortex-A76 cores and dual Cortex-A55 cores that optimize the performance and power efficiency of their workloads. Integrated with an enhanced DSP with AI Tensor block, the Agilex 5 offers advanced connectivity features such as High-speed GTS transceivers up to 28.1 Gbps and PCI Express ( PCIe ) 4.0 × 8, DisplayPort and HDMI Output.

The AI/ML software capabilities start with popular platforms such as TensorFlow and PyTorch, including the support for the open-source OpenVINO toolkit that works with the FPGA AI Suite and Quartus Prime FPGA design software. The OpenVINO toolkit takes Deep Learning models from all the major Deep Learning frameworks (such as TensorFlow, PyTorch, Keras) and optimizes them for inference on a variety of hardware architectures, including various CPUs, CPU+GPU, and FPGAs. The Intel FPGA AI Suite was developed with the vision of ease-of-use of artificial intelligence (AI) inference on Intel FPGAs.

The suite enables FPGA designers, machine learning engineers, and software developers to create optimized FPGA AI platforms efficiently. Utilities in the Intel FPGA AI Suite speed up FPGA development for AI inference using familiar and popular industry frameworks such as TensorFlow or PyTorch and OpenVINO toolkit, while also leveraging robust and proven FPGA development flows with the Intel Quartus Prime Software.

iWave is now shipping early samples of the Agilex® 5 System on Module and evaluation kit, which comes with complete user documentation, software drivers, and a board support package. iWave provides their customers with an evaluation kit with the latest software packages to expedite their evaluation and time to market. Click here for watch the video on the System on Module and Evaluation Kit.

Cloud AI & Edge AI

Edge AI devices can process data, make decisions independently, operate with minimal latency, and derive valuable insights even in absence of network connectivity. Cloud AI processes data in remote data centers with high scalability but higher latency and security concerns, while Edge AI processes data locally on devices with lower latency and improved privacy.

This system consist of the edge node’s main function is to collect data from clients and perform intensive processing tasks where the devices can process data, independently make decisions, offer virtually no latency, and generate valuable insights when internet connections are down. And the data center can consolidate data from several edge nodes to utilize it in more sophisticated applications. This process not only helps in data privacy but offers low latency and covers the large bandwidth.

iWave maintains a product longevity program that ensures the System on Modules are available for long periods of time (10+ years). iWave offers customers extensive technical support during the evaluation and product development phase, alongside ODM Design services such as carrier card design, thermal simulation, and ODM as a business model.

iWave is an embedded systems engineering and solutions company, designing solutions for the Industrial, Medical, Automotive, and Avionics vertical markets. Building on a core competency of embedded System on Modules and embedded computing platforms enabling customers in their product development journey. Learn expertise since 1999, iWave boasts of an extensive portfolio of high-performance FPGA and SoC FPGA more about iWave at www.iwavesystems.com.

ASRock Industrial Debuts Advanced DSF-A6000 Embedded Box for Modern Business Applications

ASRock Industrial, a world-leading innovator for Industrial PC and embedded computing solutions, launches DSF-A6000 Embedded Box PC, a cutting-edge display signage solution designed to meet high demands of modern business environments. By leveraging the power of AMD Ryzen™ Embedded R2314, this solution ensures top-tier processing power and graphics performance, supporting 4K quad displays for vibrant, crystal-clear visuals. This advanced product integrates Out-Of-Band-Management (OOBM) and EDID Emulation to ensure seamless operation and enhanced manageability. The DSF-A6000 is meticulously crafted to provide exceptional performance, reliability, and versatility, making it an ideal choice for a wide range of embedded and modern business applications, including digital signage, video walls, and kiosks in smart retail, smart transportation, and smart city settings.

Key Features of the DSF-A6000

  • Powered by AMD Ryzen™ Embedded R-Series (R2314) with longevity support.
  • Dual-channel ECC/non-ECC SO-DIMM DDR4 2666 MHz, up to 64GB. Storage options include one M.2 Key M (2242/2280) with PCIe Gen3 x4 for SSD.
  • Supports quad displays up to 4K resolution with HDMI 2.0b, delivering sharp, vibrant visuals for enhanced operational efficiency and user experience.
  • Triple RJ-45 ports support two 1G LANs and one 2.5G LAN with PoE+ (optional) for reliable connections.
  • Multiple IO and expansion options including two USB 3.2 Gen2, one USB 2.0, one COM port, one M.2 Key B, and one M.2 Key E for flexible integration with various devices and systems.
  • Optional support allows AIIxon 24/7 to perform remote management and troubleshooting regardless of the operating system state through MPU-OOB card.
  • Emulate the Extended Display Identification Data (EDID) of various displays for compatibility and optimal configuration settings.
  • Compact design of 182.2 x 175.2 x 25mm makes it easy to integrate into embedded solutions while saving space.

Seamless Remote Management with Advanced Out-Of-Band Management (Optional)

The DSF-A6000 with MPU-OOB card, integrated with Allxon’s Cloud-Native platform, provides advanced OOBM capabilities to empower IT/OT administrators to perform remote management and troubleshooting regardless of the operating system state. This feature is critical for maintaining system uptime and minimizing operational disruptions, enabling remote diagnostics and issue resolution even when the primary network is down. By leveraging OOBM technology, businesses can maintain optimal performance and address issues swiftly, ensuring smooth operations.

Enhanced Compatibility with EDID Emulation

To further enhance its versatility, the DSF-A6000 includes EDID Emulation, which allows the device to emulate the Extended Display Identification Data (EDID) of various displays. This ensures compatibility and optimal configuration settings, simplifying the setup process and providing greater flexibility for diverse display environments.

ASRock Industrial’s DSF-A6000 sets a new standard in display technology, offering businesses a high-performance, reliable solution that meets the demands of today’s dynamic operational needs. With its comprehensive feature set, including OOBM and EDID Emulation, the DSF-A6000 is poised to become an essential tool for boosting business efficiency and productivity.

For more product information about the DSF-A6000, please visit ASRock Industrial’s Website.

Driving AI Innovation with IB962 3.5-inch Single Board Computer

IBASE Technology Inc. , unveils the IB962 3.5-inch single board computer (SBC) built on the advanced Intel® Core™ Ultra 7/5 100 Series processors (formerly Meteor Lake U/H). Featuring 3D performance hybrid architecture, advanced AI capabilities, and available with built-in Intel Arc™ GPU, the processor delivers an optimal balance of performance and power efficiency and helps unlock the power of AI to create immersive graphics experiences.

The IB962 is available in a variety of models, with high-end models powered by the Intel® Core™ Ultra 7-165H and Ultra 7-165U processors to meet different processing needs while maintaining a compact footprint of just 102mm x 147mm (4″ x 5.8″). The IB962 series comprises two DDR5 SO-DIMM slots, supporting up to 64GB of RAM to handle intensive multitasking and high-speed data processing with ease. A standout feature is its extensive display capability, supporting HDMI, DP++, LVDS, and eDP interfaces, allowing flexibility to connect multiple high-resolution displays simultaneously, whether for industrial automation, manufacturing, retail, entertainment, healthcare, or other edge AI applications.

IB962 FEATURES:

  • Onboard Intel® Core™ Ultra 7/5 100 Series processors
  • 2x DDR5 SO-DIMM, Max. 64GB
  • Supports HDMI, DP++, LVDS and eDP
  • 1x Intel® I226LM 2.5G LAN, 1x Intel® I226V 2.5G LAN
  • 3x USB 3.2, 3x USB 2.0, 2x COM, 2x SATA III
  • 3x M.2 slots (M-Key + E-Key + B-Key)
  • Supports 5G, digital I/O (4-in/4-out), TPM & watchdog timer

The robust IB962 SBC features high-speed networking connectivity with dual Intel® 2.5G LAN ports and a comprehensive array of I/O options such as USB 3.2, USB 2.0, serial port, and SATA III. It also includes M.2 slots (M-Key, E-Key, B-Key) that support additional storage, wireless modules, 5G connections, and other expansions. Its versatile 12V to 24V DC input range ensures compatibility with a variety of power sources and environments.

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