Page 28 – Electronics-Lab.com

Hailo Closes New $120 Million Funding Round and Debuts Hailo-10, A New Powerful AI Accelerator Bringing Generative AI to Edge Devices

Posted on 19 April, 202419 April, 2024 by mixos

Hailo’s funding now exceeds $340 million as the company introduces its newest AI accelerator specifically designed to process LLMs at low power consumption for the personal computer and automotive industries, bringing generative AI to the edge.

Hailo, the pioneering chipmaker of edge artificial intelligence (AI) processors, today announced it has extended its series C fundraising round with an additional investment of $120 million. At the same time, the company announced the introduction of its innovative Hailo-10 high-performance generative AI (GenAI) accelerators that usher in an era where users can own and run GenAI applications locally without registering to cloud-based GenAI services.

The new funding round was led by current and new investors including the Zisapel family, Gil Agmon, Delek Motors, Alfred Akirov, DCLBA, Vasuki, OurCrowd, Talcar, Comasco, Automotive Equipment (AEV), and Poalim Equity. To date the company has raised more than $340 million.

“The closing of our new funding round enables us to leverage all the exciting opportunities in our pipeline, while setting the stage for our long-term future growth. Together with the introduction of our Hailo-10 GenAI accelerator, it strategically positions us to bring classic and generative AI to edge devices in ways that will significantly expand the reach and impact of this remarkable new technology,” said Hailo CEO and Co-Founder Orr Danon. “We designed Hailo-10 to seamlessly integrate GenAI capabilities into users’ daily lives, freeing users from cloud network constraints. This empowers them to utilize chatbots, copilots, and other emerging content generation tools with unparalleled flexibility and immediacy, enhancing productivity and enriching lives,” he emphasized.

Hailo-10: Generative AI at the Edge

The new Hailo-10 GenAI accelerator enables a whole spectrum of applications that maintain Hailo’s leadership in both performance-to-cost ratio and performance-to-power consumption ratio. Hailo-10 leverages the same comprehensive software suite used across the Hailo-8 AI accelerators and the Hailo-15 AI vision processors, enabling seamless integration of AI capabilities across multiple edge devices and platforms.

Enabling GenAI at the edge ensures continuous access to GenAI services, regardless of network connectivity; obviates network latency concerns, which can otherwise impact GenAI performance; promotes privacy by keeping personal information anonymized and enhances sustainability by reducing reliance on the substantial processing power of cloud data centers.

By unlocking the power of GenAI on edge devices, such as personal computers, smart vehicles, and commercial robots, Hailo-10 allows users to completely own their GenAI experiences, making them an integral part of their daily routine. Hailo accomplishes this immersive GenAI experience through a Hailo-10 architecture that supports maximum GenAI performance with minimum required power.

“As GenAI on the edge becomes immersive, the focus turns to handling large LLMs in the smallest possible power envelope — essentially less than five watts,” Danon continued.

Among popular GenAI platforms, Hailo-10 can run Llama2-7B with up to 10 tokens per second (TPS) at under 5W of power. In processing Stable Diffusion 2.1, a popular model that produces images from text prompts, Hailo-10 is rated at under 5 seconds per image in the same ultra-low power envelope.

Hailo-10 is capable of up to 40 TOPS (tera operations per second), a new performance standard for edge AI accelerators. Hailo-10 is faster and more energy efficient than integrated neural processing unit (NPU) solutions and delivers at least 2X more performance at half the power of Intel’s Core Ultra NPU, according to recently published benchmarks.

Early applications of Hailo-10 GenAI accelerators will be targeting PCs and automotive infotainment systems, empowering current and future CPUs that cannot by themselves power the chatbots, copilots, personal assistants, and speech-operated operating systems that have become standard today. Hailo will begin shipping samples of the Hailo-10 GenAI accelerator in Q2 of 2024.

“Whether users employ GenAI to automate real-time translation or summarization services, generate software code, or images and videos from text prompts, Hailo-10 lets them do it directly on their PCs or other edge systems, without straining the CPU or draining the battery,” Danon concluded.

Since its founding in Israel in 2017, Hailo has become a leading global supplier of intelligent AI chips that serves more than 300 customers around the world. The company has offices in the United States, Europe, Japan, South Korea, China, and Taiwan.

For more information about Hailo’s AI processors for edge devices, visit www.hailo.ai. Hailo will be present at the Embedded World exhibition in Nuremberg, April 9-11, Booth 126, Hall 1, and at the ISC West exhibition in Las Vegas, April 10-12, Booth #31065. To schedule a meeting with Hailo at these events visit: https://hailo.ai/company-overview/newsroom/

Digi ConnectCore MP25 SoM Features STM32MP25 SoC with 1.35 TOPS NPU in a Tiny Form Factor

Posted on 19 April, 2024 by Debashis Das

At Embedded World 2024, Digi International unveiled the Digi ConnectCore MP25, an ultra-compact System-on-Module (SoM) powered by the STMicroelectronics STM32MP25 SoC. This module is equipped with advanced connectivity features including 802.11ac Wi-Fi 5, Bluetooth 5.2, options for cellular integration, and supports up to three Gigabit Ethernet ports with Time-Sensitive Networking (TSN). Additionally, it boasts a powerful 1.35 TOPS Neural Processing Unit (NPU) and an Image Signal Processor (ISP), enhancing its capabilities for complex IoT applications.

The Digi ConnectCore MP25 also includes interfaces for PCIe Gen2, USB 3.0, and triple CAN-FD, housed within a compact 30 x 30 mm form factor. This versatility makes it ideal for a wide range of IoT applications, from industrial automation to smart energy solutions, where performance, connectivity, and size are critical.

In previous articles, we have explored a variety of compact SoMs and development boards from STMicroelectronics, including the WeAct STM32G4, STM32H5 Discovery kit, and MicroGEA SoM among others. If you are interested in similar solutions, feel free to check out these reviews for more options in this category.

The company also offers a kit in which you will have access to features like HDMI, LVDS, and MIPI display options, a MIPI CSI-2 camera connector, and up to three Gigabit Ethernet ports. It also has one USB 3.0 OTG (Type-C), two USB 2.0 hosts, dual CAN-FD interfaces, and a MicroSD card socket. Expansion capabilities include a PCIe mini-card with SIM support, MikroE Click boards connector, and dual Digi XBee slots for cellular connectivity. Additional features are audio ports (microphone and headphones), user buttons, and LEDs, making it well-suited for diverse development needs.

Digi ConnectCore MP25 SoM and Specifications

Processor: Dual Cortex-A35 cores at 1.5GHz, with additional Cortex-M33 and Cortex-M0+ cores.
AI and ML: Integrated NPU delivering 1.35 TOPS and an image signal processor (ISP).
Wireless: Wi-Fi 5 (802.11ac), Bluetooth 5.2, and cellular integration options.
Memory and Storage: External memory and storage support tailored for industrial use.
Multimedia: Enhanced multimedia capabilities for graphics and video processing.
Networking: Supports Time-Sensitive Networking (TSN) and up to 3 Gigabit Ethernet ports.
Interfaces: Includes PCIe Gen2, USB 3.0, and 3 x CAN-FD.
Form Factor: Ultra-compact Digi SMTplus (30 x 30 mm).
Temperature Range: Industrial operating range from -40 to +85 °C

The SoM is supported by a 10-year+ longevity program and a 3-year warranty, accompanied by global technical support, ensuring long-term reliability. It features advanced security for Industry 4.0 applications and offers extensive development tools and community support, streamlining integration and enhancing innovation in various projects.

The Digi ConnectCore MP25 features a seamless cellular modem and Digi XBee® integration, supported by Digi ConnectCore® Cloud Services for remote management and OTA updates. It runs on Digi Embedded Yocto Linux with Digi TrustFence® security, and turnkey development services are available from Digi WDS to accelerate integration and deployment.

For further details, please visit the product announcement and the product page.

Olimex VGA2HDMI is an Open Source VGA to HDMI Converter Board

Posted on 19 April, 2024 by Debashis Das

Olimex has recently featured a new board named VGA2HDMI It is a VGA to HDMI converter board that can take in VGA signals and convert them into HDMI signals. The reason it’s news is because one search will give you many HDMI to VGA converted and not the other way around.

The company announced this board because their old boards like the CERBERUS 2100, AgonLight 2, and Agon Origins boards all use A VGA connection as output and as that standard is getting obsolete the company specially designed and tested this convert to work with the old board.

Olimex is not the first company to design a VGA to HDMI converter; a quick search on Amazon search will reveal many such devices. However, the Olimex converter stands out as an excellent choice. It is competitively priced and is open-sourced, which means you can access schematics and KiCad source files directly on its product page. Additionally, more information and resources are available on its GitHub page under the reciprocal GNU General Public License 3.

The Olimex VGA to HDMI converter, built around the CV8986 IC, supports 1080p video and 24-bit audio ADC, potentially allowing audio transmission over HDMI when properly designed. The datasheet confirms these capabilities, alongside features like HDCP 1.3 and CEC 1.3 support. Curiously, it lacks a 3.5 mm audio jack. This 56-pin IC measures 7mm x 7mm, operates from -30 to 85 degrees Celsius, and includes a 32-bit Cortex M0+ core.

The company also provides an enclosed for the Board but that costs a little bit more than the original product.

Olimex VGA2HDMI Converter Specification:

Chipav CV8986 VGA to HDMI converter
VGA connector
HDMI connector
USB-C power connector
Dimensions – 55 x 31 mm

The Olimex VGA2HDMI board, compatible with any VGA and HDMI interfaces, is now on sale. It is priced at €15 to €17 (about $16 to $18.50) and is available through the Olimex store with an optional plastic case.

Avnet Unveils MaaXBoard OSM93: A Powerhouse for Edge AI Development

Posted on 19 April, 202419 April, 2024 by Aditi Ambadkar

Avnet introduces the MaaXBoard OSM93, a Raspberry Pi-style semi-single-board computer designed to cater to energy-efficient edge artificial intelligence (edge AI) tasks. The board leverages the NXP i.MX 93 system-on-chip (SoC) to power its capabilities, offering a versatile platform for developers and embedded designers alike.

“The MaaXBoard OSM93 Development Kit is a great way for embedded designers to quickly evaluate and prototype both the i.MX 93 applications processor from NXP and the Avnet Embedded OSM-SF-IMX93 OSM,” highlights Jim Beneke from Avnet, emphasizing the board’s potential for high-volume applications. With its OSM-standard module and production-ready SBC form factor, the MaaXBoard suits various project scales and assembly needs efficiently.

The NXP i.MX 93 SoC boasts two Arm Cortex-A55 application-class processors clocked at up to 1.7GHz, complemented by a Cortex-M33 real-time core running at up to 250MHz. Additionally, it features an Ethos-U65 neural processing unit running at 1GHz, delivering up to 0.5 tera-operations per second (TOPS) for edge AI and machine learning tasks. The inclusion of an EdgeLock secure enclave system ensures robust security measures, making the MaaXBoard OSM93 a compelling choice for IoT applications requiring both performance and reliability.

Elsewhere on the board, users will find a robust set of features, including 2GB of LPDDR4 memory for smooth multitasking and performance, complemented by 640kB of on-chip RAM (OCRAM) for efficient data processing. Storage needs are addressed with 16GB of eMMC 5.1 storage and 16MB of QSPI NOR flash, ensuring ample space for applications and data.

Designed for energy-efficient edge AI experimentation, the MaaXBoard OSM93 opts for a very familiar footprint.

Connectivity options abound, with two USB 2.0 Type-A host ports and a USB 2.0 Type-C port for versatile peripheral connections. Display and camera interfaces include four-lane MIPI Display Serial Interface (DSI) and two-lane Camera Serial Interface (CSI) connectors, catering to diverse multimedia requirements. Network connectivity is robust with two gigabit Ethernet ports, while an M.2 E-key connector offers flexibility for optional wireless modules.

Additionally, the board features a 40-pin Raspberry Pi-style general-purpose input/output (GPIO) header, enabling easy interfacing with external devices and expansion boards. Debugging capabilities are enhanced with a JTAG debugging header, while analog input needs are met with a four-pin header. Moreover, a six-pin CAN-FD header and SAI digital audio header, combined with onboard PDM microphone sensors, further extend the board’s functionality for a wide range of applications.

Avnet has confirmed it will be showing off the MaaXBoard OSM93 at Embedded World in Nuremberg, Germany, April 9-11 at Booth 1-510; the board and module will both become generally available in the second quarter, with pricing yet to be confirmed. More information is available on the Avnet website.

BeagleBoard’s New BeagleY-AI SBC Features Texas Instruments AM67A SoC with 4 TOPS Edge AI Accelerator

Posted on 19 April, 202419 April, 2024 by Debashis Das

The BeagleBoard.org Foundation has recently released BeagleY-AI a Texas Instruments AM67A SoC powered SBC which promises open-source hardware in a standard form factor.

The AM67A SoC features a quad-core Arm Cortex-A53 CPU, and dual DSPs with Matrix Multiply Accelerator, achieving a total of 4 TOPS Edge Acceleration. other than that this setup also supports real-time deep learning and vision tasks, vision accelerators, a GPU for video processing, and Arm Cortex-R5 cores for rapid control.

The AI race is heating and recently we have seen many products, development boards, and camera modules coming preloaded with Edge AI capabilities. We’ve covered several of these in our previous posts, including the Toradex SoM, Avnet MaaXBoard OSM93, Toybrick TB-RK3588SD, and very recently Espressif has launched the ESP32-P4 MCU their first AI-enabled MUC without a Radio Module. If you’re interested in AI-related SBCs and MCUs, feel free to explore those articles for more in-depth information.

BeagleY-AI’s open-source design offers flexibility beyond typical constraints, allowing for custom modifications in industrial uses and giving businesses control over product development and supply chains. It’s also ideal for researchers and educators for consistent, customizable experimentation and teaching.

BeagleY-AI SBC Specifications:

SoC: Texas Instruments AM67A Arm-based vision processor
CPU: Quad-core 64-bit Arm Cortex-A53 @ 1.4GHz
DSP: Dual C7x DSPs with Matrix Multiply Accelerator (MMA), capable of 4 TOPs
Control Subsystem: Arm Cortex-R5 for low-latency I/O and control
Graphics and Video:
- Integrated GPU
- Dedicated video and vision accelerators
High-Speed Interfaces:
- PCI-Express Gen3 single-lane controller
- USB3.1-Gen1 port
- Gigabit Ethernet
Memory:
- 4GB LPDDR4
- MicroSD card socket
- Board identifier EEPROM
Networking:
- BeagleBoard.org BM3301 module (TI CC3301 chipset)
- WiFi 6 (IEEE802.11ax)
- Bluetooth 5.4 with BLE
- Gigabit Ethernet with PoE+ support (addon required)
Display Interfaces:
- Micro HDMI
- OLDI (LVDS) with touchscreen support
- MIPI-DSI with touchscreen support (shared with MIPI-CSI)
Camera Interfaces:
- 2x MIPI CSI
Expansion and Peripheral Interfaces:
- PCI-Express Gen3 x1 (external adapter needed)
- 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
Debugging Ports:
- 3-pin JST-SH console UART
- 10-pin TAG-CONNECT for JTAG

At the time of writing the company does not talk about software support or any related documentation, when available we will release an update to this post.

As of now, the BeagleY-AI is priced at $70 but is currently on backorder. Those interested can purchase it from SeeedStudio, Farnell, Newark, and other online retailers, with prices ranging from $70 to $75.

The company has announced that the product will be available starting June 2024.

MeLE PCG02 Pro Gets Intel Processor N100 Upgrade: Fanless Mini PC Stick Enhanced

Posted on 19 April, 202419 April, 2024 by Aditi Ambadkar

The MeLE PCG02 Pro, known for its ultra-slim and fanless design, has received an upgrade with the latest Intel Processor N100 Alder Lake-N CPU. Initially introduced with an Intel Celeron J4125 (Gemini Lake Refresh) or Celeron N5105 (Jasper Lake) processor in 2022, the PC stick now boasts enhanced performance with the new chipset.

Featuring a sleek and slim profile measuring just 20mm thick, the MeLE PCG02 Pro offers impressive specifications. It supports up to 16GB of RAM and includes up to 256GB of eMMC flash storage. Equipped with two 4K-capable HDMI ports, users can enjoy high-definition multimedia content effortlessly. Connectivity options include Gigabit Ethernet and WiFi 5 for seamless network access, along with three USB 3.2 ports for versatile peripheral connectivity. Additionally, a microSD card slot and a USB-C port for power only further enhance its usability.

MeLE PCG02 Pro ultra slim fanless mini PC gets an Intel Processor N100 upgrade

Similar to the MINIX Z100-0dB mini PC, the MeLE PCG02 Pro boasts a fanless design, ensuring silent operation and efficient heat dissipation. With its compact form factor and powerful performance, the upgraded MeLE PCG02 Pro offers a compelling solution for various computing needs.

MeLE PCG02 Pro “Surpass” specifications:

SoC – Intel Processor N100 quad-core Alder Lake-N processor @ up to 3.4 GHz (Turbo) with 6MB cache, 24EU Intel HD graphics @ 750 MHz; TDP: 6W
System Memory – 8GB or 16GB LPDDR4x @ 4266 MHz
Storage – 128GB or 256GB eMMC flash
Video Output – 2x HDMI 2.0 ports up to 4K @ 60 Hz
Audio Output – 3.5mm earphone jack, digital audio output via HDMI
Connectivity
- Gigabit Ethernet RJ45 port with support for PXE and Wake-on-LAN (WoL)
- Wireless – WiFi 5 (802.11ax), Bluetooth 5.1
USB – 2x USB 3.2 ports (10 Gbps), 1x USB 3.2 Type-C port (5 Gbps)
Misc – Kensington lock slot, reset CMOS pinhole, BIOS with auto power and RTC wake support
Power Supply – 12V/2A via USB Type-C port
Dimensions – 146 x 61 x 20mm
Weight – About 182 grams

The MeLE PCG02 Pro mini PC stick arrives with a power supply featuring EU/US/UK/AU plug adapters, a VESA mount kit, and a user manual. While the MeLE PCG02 Pro Surpass ships with Windows 11 Pro, Ubuntu Linux is also compatible. Ian’s review in December 2022 found satisfactory performance with both Windows 11 Pro and Ubuntu 22.04, although the N5105 model exhibited subpar WiFi 5 performance. The “Classic” variant features an M.2 slot, but it’s absent in the “Outperform” and “Surpass” models due to space constraints. Users desiring a fanless N100 system with an M.2 socket may consider the MeLE Quieter4C.

The MeLE PCG02 Pro Surpass with an Intel N100 CPU can be purchased on Aliexpress for $222.30 (8GB+128GB) or $232.30 (8GB+256GB), but you can pay lower than say by selecting the 10% off coupon on the page. It is also listed on Amazon for $199.99 with 128GB flash.

Signaloid’s New FPGA Board Comes in a microSD Form Factor

Posted on 19 April, 202419 April, 2024 by Debashis Das

Signaloid Ltd., a startup specializing in uncertainty processing, has released a unique FPGA development board in the format of a microSD card. Called the Signaloid C0-microSD, the board aims to Simplify FPGA development and offer access to Signaloid’s uncertainty analysis technology.

As per specifications the C0-microSD is a compact device and will fit into any standard micro SD card socket. But as it is an FPGA board it contains an iCE40UP5K FPGA along with 128Mbit of SPI flash memory This FPGA comes preloaded with Signaloid’s proprietary RISC-V processor core, allowing users to execute RISC-V applications and upload alternative FPGA bitstreams.

Now while reading about this the sentence struct me was there “uncertainty analysis technology” – The key innovation lies in Signaloid’s approach to data representation. They extend traditional integer and real-valued data types to include probability distribution information. This means that instead of treating data as fixed values, Signaloid’s technology maintains information about the uncertainty associated with each piece of data.

By incorporating probability distribution information directly into the computation, Signaloid’s technology outperforms traditional methods like Monte Carlo analysis. This advantage persists even when running unmodified software, making it a powerful tool for a wide range of applications.

Signaloid’s FPGA Board Specification

Lattice iCE40UP5K FPGA
- Compact and power-efficient FPGA solution
- Offers up to 5K logic cells for flexible customization
- Supports low-power operation ideal for battery-powered applications
- Integrated SPI flash memory for convenient storage of configuration data
- Enables rapid prototyping and development of various embedded systems
- Compatible with open-source toolchains for easy development integration
128Mbit SPI Flash: Offers storage space for FPGA bitstreams and other data.
Preloaded Signaloid C0 RISC-V Core: Enables users to run RISC-V applications and experiment with Signaloid’s uncertainty-tracking features.
MicroSD Interface: Simplifies programming and integration, allowing direct connection to host systems with microSD slots.

With this unique design, you can rapidly test and iterate FPGA designs using breadboards or custom PCBs with microSD slots. Additionally, you can easily add FPGA functionality to larger systems with microSD slots. Plus, leverage their Uncertainty Analysis tool to process uncertain data dynamically.

more information: https://signaloid.com

MI1000 Mini-ITX Motherboard Featuring 14th Gen Intel Core Processors and R680E PCH

Posted on 18 April, 2024 by mixos

IBASE Technology Inc., a leading innovator in industrial PC solutions, unveils the MI1000 Mini-ITX motherboard today. Engineered to support the latest 14th/13th/12th Gen Intel® Core™ i9/i7/i5/i3 DT processors (RPL-S Refresh Platform) with up to 65W TDP, these motherboards excel in handling the most demanding processing tasks. They are optimally designed for high-performance computing applications, including advanced gaming and data-intensive analytics, making them an excellent choice for technology-driven solutions.

The MI1000 showcases the seamless integration of the Intel R680E PCH, enhancing the motherboards’ connectivity, speed, and efficiency to unmatched levels. Key features include support for 2x DDR5 SO-DIMM sockets, enabling up to 64GB of memory with ECC for data-intensive applications. Graphics outputs such as eDP, LVDS, and 2x DisplayPort (1.4a) (DP++) are supported for superior visual performance. Furthermore, dual LAN ports offer robust 2.5G connectivity and iAMT support, enhancing networking capabilities.

MI1000 Features:

14th/13th/12th Gen Intel® Core™ i9/i7/i5/i3 DT processors, up to 65W
2x DDR5 SO-DIMM sockets, Max. 64GB, support ECC
Intel® processor integrated graphic supports eDP, LVDS and 2x DisplayPort (1.4a) (DP++)
LAN 1: Intel® I226LM, supports 2.5G and iAMT
LAN 2: Intel® I226V, supports 2.5G
6x USB 3.2, 4x USB 2.0, 2x COM, 4x SATA III
1x PCI-E (x16) [Gen.5.0]; 3x M.2 (1x E-Key for WiFi/BT and 2x M-Key for NVMe)
Supports watchdog timer, Digital I/O, iAMT (16.1), TPM (2.0)

The motherboard also boasts comprehensive connectivity options with 6x USB 3.2 and 4x USB 2.0 ports, alongside 2x COM and 4x SATA III interfaces, providing extensive possibilities for peripherals and storage expansion. With robust expansion capabilities featuring a PCI-E (x16) [Gen.5.0] slot and multiple M.2 slots, the MI1000 is designed to cater to a wide array of use cases, making it versatile for comprehensive system builds.

For more information on the MI1000 motherboard and other IBASE technology solutions designed for today’s technology-driven world, please visit www.ibase.com.tw

ASRock Industrial Leads with SBC-262M-WT Motherboard Powered by Intel Atom x7433RE for Next-Generation Edge Computing

Posted on 18 April, 2024 by mixos

ASRock Industrial is thrilled to announce the launch of its latest innovation, the SBC-262M-WT 3.5” SBC Motherboard, a new benchmark in edge computing, powered by the advanced Intel® Atom® x7433RE Processor (Amston Lake). Designed with enhanced CPU and GPU performance, this motherboard ensures an optimal balance between performance, cost-efficiency, and versatility for various computing needs at the edge. Supporting of DDR5 4800 MHz memory, the SBC-262M-WT features an extensive array of I/O capabilities, including triple 4K display outputs, featuring dual LAN one support up to 2.5G with Intel® TSN/TCC for real-time computing, one Gigabit LAN and versatile storage options with SATA 3.0 and M.2 Key M, along with expansion slots like M.2 Key E and M.2 Key B. With wide operating temperature support from -40 to 85 °C, the SBC-262M-WT is ideal for a wide range of applications, from smart retail, and smart cities to embedded industrial environments, setting a new standard for industrial motherboards.

Core Features Supporting SBC-262M-WT Motherboard

Superior Performance: Powered by Intel® Atom® x7433RE Processor (Amston Lake) up to 4-core, boosting both CPU and GPU efficiency, alongside significant enhancements in AI inference capabilities.
High-Speed Memory Support: The motherboard is equipped with a 262-pin SO-DIMM slot for DDR5 4800 MHz memory, supporting up to 48GB. This ensures fast and efficient performance for data-intensive applications, enabling smooth multitasking and quick data processing.
Extensive Connectivity Options: With two USB 3.2 Gen2, four USB 2.0, four COM ports, one M.2 Key E (2230) for WiFi, and one M.2 Key B (3042/3052) for 4G/5G connectivity, the SBC-262M-WT offers a wide range of connection possibilities. This allows for flexible expansion and customization according to specific project requirements.
Dual Storages Support: Featuring one M.2 Key M (2242/2280) for SSDs and one SATA3 for storage, the motherboard supports a variety of devices and data management solutions.
Advanced Networking Capabilities: Equipped with one Intel® 1 Gigabit LAN and one Intel® 2.5 Gigabit LAN, the SBC-262M-WT facilitates high-speed network connections and real-time computing with Intel® TSN/TCC, ensuring reliable and fast communication for industrial applications.
Triple Display Support: The motherboard supports triple display via one HDMI 2.0b, one DP 1.4b, and one LVDS and one eDP, offering versatile display options for enhanced productivity and immersive visual experiences in various industrial settings.
Wide Operating Temperature: The motherboard comes prepared to endure severe temperatures, spanning from -40 °C to 85 °C, and provides 9~36V DC-In PWR, guaranteeing operational resilience and durability in challenging conditions.

The SBC-262M-WT motherboard enhances edge computing capabilities, leveraging cutting-edge Intel® Atom® x7433RE Processor for unparalleled efficiency and performance. This integration underscores our commitment to advancing edge IoT technology, providing robust and reliable solutions for complex industrial environments.

For more product information about the new SBC-262M-WT motherboard, please check our Website Product Page and contact us at Product Inquiry.

Noni Radio Module: Unlocking WiFi-7 Connectivity with Qualcomm’s Chipsets

Posted on 14 April, 2024 by Aditi Ambadkar

The Noni module, powered by Qualcomm’s QCA9274/QCA6274 chipsets, revolutionizes wireless connectivity with advanced WiFi-7 capabilities packed into a versatile M.2 A+E form factor. Tailored for a diverse range of applications, this module thrives in both commercial and industrial environments, delivering consistent performance across various conditions.

In adherence to the IEEE 802.11be standard, the Noni module achieves remarkable data rates of up to 11 Gbps. Its flexible MIMO arrangements, available in 4×4 or split 2×2 + 2×2 setups, accommodate diverse network configurations, while support for channel sizes up to 320 MHz and 4K QAM modulation elevates both efficiency and quality of wireless connections.

Equipped with Multi-Link operation for simultaneous multi-frequency communication and adaptive interference puncturing, the Noni module optimizes bandwidth utilization even in challenging environments. Its dual-band support across 5GHz and 6GHz spectrums ensures adaptability to evolving wireless demands.

Key specifications include wide frequency band support and a PCI Express 3.0 dual-lane interface, enhancing compatibility across various form factors like mini-PCIe, System on Module (SoM), and M.2 A+E. Security remains paramount with support for robust protocols like WPA3 and comprehensive encryption standards including AES-CCMP/GCMP, ensuring secure wireless communication. For seamless software integration, the Noni module offers support for both FirmUx and QSDK, providing developers the flexibility to choose between open-source or proprietary drivers. This dual compatibility streamlines firmware development and facilitates effective device operation management.

Available on the 8devices website, the Noni module comes in several variants. The Noni 56 M2-4×4-I is priced at $85.00, offering advanced features for specialized applications. Meanwhile, the standard Noni 56 M2-4×4 is available for $79.00 catering to general-purpose wireless needs. For budget-conscious projects, the Noni 56 M2-4×4-B variant is offered at $74.00, providing reliable connectivity at an affordable price point.

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