embedded world 2024

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) - 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 Axelera Metis PCIe Arm AI evaluation kit combines Firefly ITX-3588J mini-ITX motherboard with 214 TOPS Metis AIPU PCIe card

Axelera Metis PCIe Arm AI evaluation kit combines Firefly ITX-3588J mini-ITX motherboard with 214 TOPS Metis AIPU PCIe card

Metis PCIe Arm Evaluation Kit

Axelera has announced the general availability of several Metis PCIe AI Evaluation Kits that combine the company’s 214 TOPS Metis AIPU PCIe card with x86 platforms such as Dell 3460XE workstation and Lenovo ThinkStation P360 Ultra computers, Advantech MIC-770v3 or ARC-3534 industrial PCs, or the Firefly ITX-3588J mini-ITX motherboard powered by a Rockchip RK3588 octa-core Cortex-A76/A55 SoC. We’ll look into detail about the latter in this post. When Axelera introduced the Metis Axelera M.2 AI accelerator module in January 2023 I was both impressed and doubtful of the performance claims of the company since packing a 214 TOPS Metis AIPU in a power-limited M.2 module seemed like a challenge. But it was hard to check independently since the devkits were not available yet although the company only started their early-access program in August last year. Now, anybody with an 899 Euros and up budget can try out their larger Metis […]

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, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on ADLINK OSM-IMX93 is an OSM Size-L module based on NXP i.MX 93 SoC

ADLINK OSM-IMX93 is an OSM Size-L module based on NXP i.MX 93 SoC

ADLINK OSM-IMX93

ADLINK OSM-IMX93 is an OSM r1.1 Size-L module based on NXP i.MX 93 Arm Cortex-A55 & Cortex-M33 AI processor, and the first from the company to comply with the Open Standard Module (OSM) standard. The 45x45mm module is fitted with up to 2GB LPDDR4L, 128GB eMMC flash, an optional WiFi/Bluetooth module, and its 662 contacts provide a range of interfaces that include LVDS and DSI graphics output, 2x GbE (including 1x TSN capable), 2x CAN bus, I2S audio codec interface, USB2 interfaces, and more. ADLINK OSM-IMX93 specifications: SoC – NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Memory – 640 KB OCRAM w/ ECC Security – EdgeLock Secure Enclave System Memory – 1 or 2GB LPDDR4L Storage […]

Posted on by Tomisin Olujinmi - 1 Comment on Digi ConnectCore MP25 SoM targets Edge AI and computer vision applications with STM32MP25 MPU

Digi ConnectCore MP25 SoM targets Edge AI and computer vision applications with STM32MP25 MPU

digi connectcore mp25 module

Digi International has announced its latest system-on-module (SoM), the Digi ConnectCore MP25 SoM, based on STM32MP25 MPU at Embedded World 2024 in Nuremberg, Germany. The Digi ConnectCore MP25 SoM is built upon STMicroelectronics’ STM32MP25 microprocessor. It supports artificial intelligence and machine learning functionality through an integrated neural processing unit (NPU) capable of 1.35 tera operations per second (TOPS) and an image signal processor (ISP). It is powered by two 64-bit Arm Cortex-A35 cores running at 1.5GHz, supported by a 32-bit Cortex-M33 core operating at 400MHz and a 32-bit Cortex-M0+core running at 200MHz. With its machine learning capabilities, support for time-sensitive networking, and versatile connectivity features, the ConnectCore MP25 module is suitable for edge AI, computer vision, and smart manufacturing applications in various sectors, including medical, energy, and transportation. Digi ConnectCore MP25 specifications: SoC – STMicroelectronics STM32MP257F CPU – 2x 64-bit Arm Cortex-A35 @ 1.5 GHz; MCU 1x Cortex-M33 @ 400 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Toradex Aquila AM69 SoM features TI AM69A octa-core Cortex-A72 AI SoC, rugged 400 pin board-to-board connector

Toradex Aquila AM69 SoM features TI AM69A octa-core Cortex-A72 AI SoC, rugged 400 pin board-to-board connector

Toradex Aquila AM69

Toradex Aquila AM69 is the first system-on-module (SoM) from the company’s Aquila family with a small form factor and a rugged ~400-pin board-to-board connector targetting demanding edge AI applications in medical, industrial, and robotics fields with Arm platforms that deliver x86 level of performance at low power. The Aquila AM69 SoM is powered by a Texas Instruments AM69A octa-core Arm Cortex-A72 SoC with four accelerators delivering 32 TOPS of AI performance, up to 32GB LPDDR4, 128GB eMMC flash, built-in WiFi 6E and Bluetooth 5.3 module, and a board-to-board connector for display, camera, and audio interfaces, as well as dual gigabit Ethernet, multiple PCIe Gen3 and SerDes interfaces. All that in a form factor that’s only slightly bigger (86x60mm) than a business card or a Raspberry Pi 5. Toradex Aquila AM69 specifications: SoC  – Texas Instruments AM69A Application processor – Up to 8x Arm Cortex-A72 cores at up to 2.0 GHz […]

UP 7000 x86 SBC