Novoton NuMicro MA35D1 microprocessor features two Arm Cortex-A35 cores, one Arm Cortex-M4 real-time core, and two Ethernet interfaces for Linux-based edge IIoT gateway. The SoC also is offered in variants supporting external DDR memory or integrated up to 512MB RAM, 154 or 208 GPIOs, and an optional “Enhanced ADC”. The MA35D1 also comes with a TFT interface for up to 1920×1080 displays, several hardware security features, and the company says the microprocessor facilitates Tiny AI/ML for edge computing despite not integrating an AI accelerator. Nuvoton NuMicro MA35D1 key features and specifications: CPU sub-system 2x Cortex-A35 cores running at up to 800 MHz Cortex-M4 real-time core at up to 180 MHz Memory sub-system On-chip 384 KB SRAM (Cortex-A35 256 KB + Cortex-M4 128 KB) Multi-Chip Package (MCP) DDR up to 512MB External DDR interface for MA35D16A087C SKU Storage Quad SPI NAND Flash Controller Secure Digital Host Controller (SDHC) Display and Video […]
Geniatech unveils SMARC 2.1 compliant Rockchip RK3568 system-on-module
We’ve seen Rockchip RK3568 system-on-modules before, but the Geniatech SOM-3568-SMARC core board is the first to comply with the SMARC 2.1 standard with a 314-pin MXM connector exposing the many I/Os from the quad-core Cortex-A55 processor. The module comes with up to 8GB RAM, 128GB eMMC flash, integrates a WiFi and Bluetooth module as well as two Gigabit Ethernet transceivers, and is designed to be used in advanced NVRs, cloud terminals, industrial automation, IoT applications, digital signage, and more. Geniatech SOM-3568-SMARC specifications: SoC – Rockchip RK3568 quad-core Cortex-A55 processor @ 2.0 GHz with Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, 1 TOPS NPU for AI acceleration, 4Kp60 H.265/H.264/VP9 video decoding, and 1080p100 H.265/H.264 video encoding; 22nm process System Memory – 2GB, 4GB or 8GB DDR4 Storage – 32GB, 64GB, or 128GB eMMC 5.1 flash Networking 2x RTL8211F Gigabit Ethernet PHY WT6354 wireless module […]
3D game running on FPGA shown to be 50x more efficient than on x86 hardware
Sphery vs. shapes is an open-source 3D raytraced game written in C and translated into FPGA bitstream that runs 50 times more efficiently on FPGA hardware than on an AMD Ryzen processor. Verilog and VHDL languages typically used on FPGA are not well-suited to game development or other complex applications, so instead, Victor Suarez Rovere and Julian Kemmerer relied on Julian’s “PipelineC” C-like hardware description language (HDL) and Victor’s CflexHDL tool that include parser/generator and math types library in order to run the same code on PC with a standard compile, and on FPGA through a custom C to VHDL translator. More details about the game development and results are provided in a white paper. Some math functions were needed, including: floating point addition, subtraction, multiplication, division, reciprocals, square root, inverse square roots, vector dot products, vector normalization, etc. Fixed point counterparts were also used for performance reasons and to […]
AMD launches Ryzen Embedded V3000 Zen3 processors for storage and networking applications
AMD has just launched the Ryzen Embedded V3000 family of processors with four to eight Zen3 cores, a DDR5 memory interface, twenty PCIe Gen4 lanes, and two 10GbE interfaces that make it ideal for storage and networking applications, especially since there’s no GPU at all. The new embedded processors succeed the Ryzen Embedded V2000 Zen2 family introduced two years ago, and the Ryzen V1000 processors in 2018. For some reason, AMD decided to compare the new V3000 processors against the latter and claims up to 124% greater CPU performance, 50% improved memory transfer rate, twice the number of CPU cores, and improved I/O connectivity. There are five Ryzen Embedded V3000 SKUs at launch with the V3C48, V3C44, V3C18I, V3C16, and V3C14 whose key differences can be found in the table below. The AMD Ryzen Embedded V3C18I “industrial” processor also works in sub-zero temperatures for automotive and industrial applications. Shared specifications […]
Banana Pi BPI-M2 Ultra SBC is now offered with Allwinner A40i industrial-grade processor
The Allwinner A40i and A60i industrial-grade quad-core and hexa-core Cortex-A7 processors were first introduced in 2018 with support for the wide -40°C to +85°C industrial temperature range, but so far I had not noticed any hardware making use of either processor. But Banana Pi is now offering the Banana Pi BPI-M2 Ultra SBC, which they launched in 2016 with the Allwinner R40 quad-core Cortex-A7 SoC, with the pin-to-pin and software-compatible Allwinner A40i industrial-grade processor. Banana Pi BPI-M2 Ultra specifications: SoC – Allwinner A40i quad-core Arm Cortex-A7 processor with Arm Mali-400MP2 GPU @ 500 MHz, 1080p60 H.264, MPEG-4, MPEG-1/2 video decoder, H.264 1080p45 video encoder System Memory – 2GB DDR3 SDRAM Storage – 8GB eMMC flash, SATA interface, microSD card slot Video Output HDMI 1.4 port up to 1080p60 4-lane MIPI DSI display connector, or RGB, or LVDS Audio I/O – 3.5mm headphone jack, digital audio output via HDMI, built-in microphone […]
Orange Pi 800 Keyboard PC – A Raspberry Pi 400 alternative powered by Rockchip RK3399
There’s now a Raspberry Pi 400 alternative with the Orange Pi 800 Keyboard PC that offers a very similar design, but it is powered by a Rockchip RK3399 hexa-core Cortex-A72/A53 processor. Like the Raspberry Pi model, the Orange Pi 800 comes with 4GB RAM, Gigabit Ethernet, dual-band WiFi 5 and Bluetooth 5.0, two USB 3.0 ports, and one USB 2.0 port, but it also adds 64GB on-board flash storage and features one full-size HDMI port capable of 4Kp60 resolution plus a VGA port, instead of two micro HDMI ports. Orange Pi 800 specifications: SoC – Rockchip RK3399 hexa-core big.LITTLE processor with 2x Arm Cortex-A72 cores up to 1.8GHz, 4x Arm Cortex-A53 cores up to 1.4GHz, and an Arm Mali-T860MP4 GPU System Memory – 4GB LPDDR4 Storage – 64GB eMMC flash, microSD card slot Video Output HDMI 2.0 port up to 4Kp60 VGA port up to Full HD resolution Audio 3.5mm […]
UP 4000 x86 SBC review – Part 1: Unboxing and first boot
AAEON UP 4000 is a compact Apollo Lake single board computer that’s about the size of a business card or a Raspberry Pi designed for automation, robotics, digital signage, and other space-constrained applications that may benefit from an x86 processor. The company already published some Phoronix benchmarks comparing the UP 4000 SBC against Raspberry Pi 4, NVIDIA Jetson Nano, and the original UP board, but since nothing beats third-party evaluation, AAEON sent a review sample to CNX Software for additional testing. UP 4000 SBC unboxing There are several variants of the board, and I received the UP-APL03X7F-A10-0464 SKU with 4GB RAM, 64GB eMMC flash, and an Intel Atom x7-E3950 quad-core processor. The package includes the board together with a multilingual safety manual that explains you should not immerse the board underwater and should avoid walking on it :). A 12V/5A power supply was also included separately. The power cord was […]
AAEON ARES-500AI embedded box PC features 22 TOPS Huawei Atlas 200 AI accelerator module
ARES-500AI is another embedded box PC from AAEON, but instead of the usual Intel or NVIDIA Jetson accelerators, it integrates a Huawei Atlas 200 AI accelerator module based on the Ascent 310 chip delivering up to 22 TOPS of AI performance and is designed for the Chinese market. The Linux computer supports up to 8GB RAM, SSD and MicroSD storage, and is equipped with four Gigabit Ethernet ports, some USB 3.0 ports, but somehow no video output port. Designed for industrial computer vision applications, the system supports a wide 9V to 36V power input. ARES-500AI Specifications: AI module – Huawei Atlas 200 based on Ascend 310 with 22/16/8 TOPS INT8, 11/8/4 TFLOPS FP16 System Memory – 4GB or 8GB LPDDR4X Storage – SSD and microSD card sockets Video decoding H.265 & H.264 up to 16 channels @ 1080p30, up to 2 channels @ 4Kp60 JPEG decoding up to 1080p […]