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 […]

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 […]

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 […]

Silicon Labs MG26, BG26, and PG26 Cortex-M33 AI microcontrollers offer up to 3200KB flash, 512KB RAM, 64 GPIO’s

Silicon Labs MG26 BG26 P26 Cortex M33 microcontrollers

Silicon Labs has announced the xG26 family of Cortex-M33 wireless SoCs and MCUs that consists of the multiprotocol MG26 SoC, the Bluetooth LE BG26 SoC, and the PG26 general-purpose MCU without wireless connectivity, and features double the flash and RAM of the Silicon Labs xG24 devices. The xG26 family also comes with double the number of general-purpose input/output (GPIO) pins as the xG24 to enable engineers to build more complex devices in combination with the larger flash and memory reaching up to 3200 KB and 512KB respectively and also integrates a Matrix Vector Processor (MVP) for AI/ML hardware acceleration and Math functions. Silicon Labs MG26 and BG26 wireless SoCs MG26 and BG26 key features and specifications: MCU core – Arm Cortex-M33 @ 78 MHz AI/ML accelerator – Matrix Vector Processor that is 8x faster and 6x lower power than Cortex-M33 processing, and supports an MVP Math Library for non-ML workloads […]

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, […]

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 […]

Kodi 21.0 Omega released with FFmpeg 6, LG webOS support, and more

Kodi 21.0 Omega

Kodi 21.0 “Omega” has just been released with the latest version of the open-source media center adding 3,750 commits since the release of Kodi 20.0 “Nexus” on January 15th, 2023 that notably added AV1 hardware decoding in Android and x86. The new Kodi 21.0 version updates FFmpeg to version 6, adds native support for LG webOS televisions after some reverse-engineering, and implements new features such as Dolby Vision on-the-fly profile conversion in Android, native windowing in macOS that does not rely on the SDL library, and an in-game player viewer to view which game port each player’s controller is currently connected to. Most of the changes were not user-facing and instead, were under-the-hood improvements to the stability, performance, and security of Kodi. You’ll find more changes in the Kodi 21.0 Alpha/Beta/RC pre-release announcements and the complete list of changes on GitHub.  That also means Kodi v22 “P*” development has started. […]

Testing Cytron MAKERDISK M.2 NVMe SSDs on Raspberry Pi 5 with GEEKWORM X1001 and Waveshare M.2 PCIe HAT+

MAKERDISK M.2 NVMe SSD Raspberry Pi 5 review

Cytron has sent us a few of their MAKERDISK NVMe SSDs preloaded with Raspberry Pi OS so that we can test them on a Raspberry Pi 5 SBC, either with a GEEKWORM X1001 or Waveshare M.2 PCIe HAT+ add-on boards both of which were also provided by the company. Ever since the first M.2 PCIe HATs for the Raspberry Pi 5 were released, we knew Raspberry Pi Limited was working on its own model, and based on some Twitter/X “rumors” (with photos) the launch of the official M.2 HAT+ should be just around the corner. So it’s the perfect timing to test some SSDs on the Raspberry Pi 5 even though I’ve yet to get the official HAT+ Cytron “MAKERDISK” package unboxing The Malaysian company sent me a kit with everything I needed to get started, minus the Raspberry Pi 5 I already owned. This includes 128GB or 256GB NVMe […]

Exit mobile version