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Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on LattePanda Mu is an x86 Compute Module based on Intel Processor N100 CPU

LattePanda Mu is an x86 Compute Module based on Intel Processor N100 CPU

LattePanda Mu x86 Compute Module N100

The LattePanda Mu is a compute module/system-on-module based on the popular Intel Processor N100 quad-core Alder Lake-N processor that can run Windows or Linux and aims to provide a more powerful solution than the Raspberry Pi 5 and upcoming Raspberry Pi CM5 (Compute Module 5). The LattePanda Mu does not follow any SoM standard and instead comes in a custom 69.6 x 60mm form factor using a 260-pin SO-DIMM edge connector. The module is equipped with 8GB RAM and 64GB eMMC flash by default, and the interfaces exposed through the edge connector (PCIe, USB, Ethernet, HDMI…) make it suitable for a range of applications such as IoT, robotics, digital signage, and edge computing through custom carrier boards. LattePanda Mu 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 – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Octavo OSD32MP2 System-in-Package (SiP) packs an STM32MP25 SoC, DDR4, EEPROM, and passive components into a single chip

Octavo OSD32MP2 System-in-Package (SiP) packs an STM32MP25 SoC, DDR4, EEPROM, and passive components into a single chip

Octava Systems OSD32MP2 SiP

Octavo Systems OSD32MP2 is a family of two System-in-Package (SiP) modules, comprised of the OSD32MP2 and OSD32MP2-PM, based on the STMicro STM32MP25 Arm Cortex-A35/M33 AI processor, DDR4 memory, and various components to reduce the complexity, size, and total cost of ownership of solutions based on the STM32MP2 chips. The OSD32MP2 is a larger, yet still compact, 21x21mm package with the STM32MP25, DDR4, EEPROM, oscillators, PMIC, passive components, and an optional RTC, while the OSD32MP2-PM is even smaller at 14x9mm and combines the STM32MP25, DDR4, and passive components in a single chip. OSD32MP2 specifications: SoC – STMicro STM32MP25 CPU – Up to 2x 64-bit Arm Cortex-A35 @ 1.5 GHz MCU 1x Cortex-M33 @ 400 MHz with FPU/MPU; 1x Cortex M0+ @ 200 MHz in SmartRun domain GPU – VeriSilicon 3D GPU @ 900 MHz with OpenGL ES 3.2 and Vulkan 1.2 APIs support VPU – 1080p60 H.264, VP8 video decoder/encoder Neural […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Radxa NIO 12L – A low-profile MediaTek Genio 1200 SBC with Ubuntu certification for at least 5 years of updates

Radxa NIO 12L – A low-profile MediaTek Genio 1200 SBC with Ubuntu certification for at least 5 years of updates

Radxa NIO 12L

Radxa NIO 12L is a low-profile single board computer (SBC) based on the MediaTek Genio 1200 octa-core Cortex-A78/A55 SoC with a 4 TOPS NPU that got Ubuntu certification with at least 5 years of software update, and up to 10 years for extra payment. The board comes with up to 16GB RAM, 512GB UFS storage, HDMI, USB-C (DisplayPort), and MIPI DSI video interfaces, a 4K-capable HDMI input port, two MIPI CSI camera interfaces, gigabit Ethernet and WiFi 6 connectivity, five USB ports, and a 40-pin GPIO header for expansion. Radxa NIO 12L specifications: SoC – Mediatek Genio 1200 (MT8395) CPU Quad-core Arm Cortex-A78 @ up to 2.2 to 2.4GHz Quad-core Arm Cortex-A55 @ up to 2.0GHz GPU Arm Mali-G57 MC5 GPU with support for OpenGL ES1.1, ES2.0, and ES3.2, OpenCL 1.1, 1.2 and 2.2, Vulkan 1.1 and 1.2 2D image acceleration module APU – Dual‑core AI Processor Unit (APU) Cadence […]

Posted on by Debashis Das - No Comments on Variscite DART-MX95 SoM – Edge Computing with dual GbE, 10GbE, Wi-Fi 6, and AI/ML capabilities

Variscite DART-MX95 SoM – Edge Computing with dual GbE, 10GbE, Wi-Fi 6, and AI/ML capabilities

Variscite DART MX95 SoM

Introduced at Embedded World 2024, the Variscite DART-MX95 SoM is powered by NXP’s i.MX 95 SoC and features an array of high-speed peripherals including dual GbE, 10GbE, and dual PCIe interfaces. Additionally, this SoM supports up to 16GB LPDDR5 RAM and up to 128GB of eMMC storage. It features a MIPI-DSI display interface, multiple audio interfaces, MIPI CSI2 for camera connectivity, USB ports, and a wide range of other functionalities, making it highly versatile for a variety of applications. Previously, we have covered many different SoMs designed by Variscite, including the Variscite VAR-SOM-6UL, Variscite DART-MX8M, and Variscite DART-6UL SoM, among others. Feel free to check those out if you are looking for products with NXP SoCs. Variscite DART-MX95 SoM Specifications SoC – NXP i.MX 95 CPU Up to 6x 2.0GHz Arm Cortex-A55 cores Real-time co-processors – 800MHz Cortex-M7 and 250MHz Cortex-M33. 2D/3D Graphics Acceleration 3D GPU with OpenGL ES 3.2, […]

Posted on by Tomisin Olujinmi - No Comments on Imagination launches the APXM-6200 RISC-V “Catapult” CPU for cost-sensitive consumer and industrial applications

Imagination launches the APXM-6200 RISC-V “Catapult” CPU for cost-sensitive consumer and industrial applications

APXM-6200 RISC-V CPU

Imagination has expanded its Catapult product portfolio to include a new RISC-V core, the Imagination APXM-6200 CPU. The APXM-6200 is a 64-bit, in-order application processor with an 11-stage, dual-issue pipeline. There isn’t much information on the new Imagination RISC-V core on the product page but we know it offers “best-in-class” performance density, a minimal silicon footprint, and industry-standard security features. The CPU is targeted at intelligent consumer and industrial applications and delivers a 2.5x improvement in performance density and a 65% improvement in normalized performance over comparable Arm Cortex-A53 and other cores on the market. It’s also faster than the Cortex-A510 Armv9 core in SpecINT2k6. Imagination claims that combining the APXM-6200 CPU with their GPUs will ensure a 2x increase in bus utilization and a 2x reduction in memory traffic. It also comes with RISC-V vector extensions, and AI compute libraries and supports fast data coupling with AI accelerators for […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Maiyunda M1 Alder Lake-N mini PC comes with four quick-release M.2 NVMe SSD slots, four 2.5GbE ports

Maiyunda M1 Alder Lake-N mini PC comes with four quick-release M.2 NVMe SSD slots, four 2.5GbE ports

Mini PC four M.2 NVMe SSD slots

Maiyunda M1 is an unusual Intel N100 or Core i3-N305 Alder Lake-N mini PC and soft router equipped with four M.2 NVMe SSD slots so users can replace storage devices without having to open the enclosure, as well as four 2.5GbE ports for networking applications. The mini PC also supports up to 32GB DDR5 memory,  wireless connectivity through an internal M.2 socket (that can also be used as a fifth NVMe SSD socket), dual 4K display setups through HDMI and DisplayPort connectors, and offers five USB Type-A ports for expansion. Maiyunda M1 specifications: Alder Lake-N SoC Intel Processor N100 quad-core processor @ up to 3.4 GHz (Turbo) with 6MB cache, 24EU Intel UHD graphics; TDP: 6W Intel Core i3-N305 octa-core processor @ up to 3.8 GHz (Turbo) with 6MB cache, 32EU Intel UHD Graphics; TDP: 15W System Memory – 16GB LPDDR5 4800 MHz upgradeable to 32GB Storage 4x M.2 M-key […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU delivers up to 4 TOPS for Edge AI applications in Cortex-M7 to Cortex-A520 SoCs

Arm Ethos-U85 NPU

Arm has just Introduced its third-generation NPU for edge AI with the Arm Ethos-U85 that scales from 256 GOPS to 4 TOPS or up to four times the maximum performance of the previous generation Ethos-U65 microNPU, while also delivering 20% higher power efficiency. While previous Arm microNPUs were paired with Cortex-M microcontroller-class cores potentially embedded into a Cortex-A application processor, the new Ethos-U85 can be married with Cortex-M microcontrollers and Cortex-A application processors up to the Cortex-A510/A520 Armv9 cores. Arm expects the Ethos-U85 to find its way into SoC designed for factory automation and commercial or smart home cameras with support for the new Transformer Networks and the more traditional Convolutional Neural Networks (CNNs). The Arm Ethos-U85 supports 128 to 2,048 MACs with performance ranging from 256 GOPS to 4 TOPS at 1 GHz, embeds 29 to 267KB RAM, offers SRAM, DRAM, and flash interface for external memory, and up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Intel Agilex 5 SoC FPGA embedded SoM targets 5G equipment, 100GbE networking, Edge AI/ML applications

Intel Agilex 5 SoC FPGA embedded SoM targets 5G equipment, 100GbE networking, Edge AI/ML applications

Hitex eSOM5C-Ex

Hitek Systems eSOM5C-Ex is a compact embedded System-on-Module (SOM) based on the mid-range Intel Agilex 5 SoC FPGA E-Series and a pin-to-pin compatible with the company’s earlier eSOM7C-xF based on the Agilex 7 FPGA F-Series. The module exposes all I/Os, including up to 24 transceivers, through the same 400-pin high-density connector found in the Agilex 7 FPGA-powered eSOM7-xF and the upcoming Agilex 5 FPGA D-Series SOM that will allow flexibility from 100K to 2.7 million logic elements (LEs) for the whole product range. Hitek eSOM5C-Ex specifications: SoC FPGA – Intel Agilex 5 E-series group A and Group B FPGAs in B32 package Supported variants: A5E065A/B, A5E043A/B and A5E043A/B Hard Processing System (HPS) – Dual-core Cortex-A76 and dual-core Cortex-A55 FPGA Up to 656,080 Logic elements 24 x transceivers up to 28Gbps System Memory Up to 2x 8GB LPDDR4 for FPGA 2 or 4GB DDR4 for HPS Storage – 32GB eMMC flash, […]