AEC-Q100 qualified module features Allwinner T507-H processor for automotive applications

Allwinner T507-H development board

We first wrote about Allwinner T507 when we covered a module and devkit from Forlinx, but now MYiR Tech has designed its own AEC-Q100 qualified system-on-module (MYC-YT507H) and the MYD-YT507H development board based Allwinner T507-H processor. MYC-YT507H – Allwinner T507-H SoM Specifications: SoC – Allwinner T507-H with a quad-core Arm Cortex-A53 processor @ 1.5GHz, Arm Mali-G31 MP2 GPU with support for OpenGL ES 3.2/2.0/1.0, Vulkan1.1, OpenCL 2.0; 4K60 H.265/VP9/AVS2 video decoder, 4K H.264/MJPEG video encoder System Memory – 1 or 2GB LPDDR4 Storage – 8GB eMMC flash, 32Kbit EEPROM (or is it 32KB/256Kbit – see block diagram below) 222x castellated holes with 1.0mm pitch for carrier board connection Networking – 1x RGMII and 1x RMII Video 1x HDMI 2.0a up to 4Kp60 2x single-channel LVDS or 1x dual-channel LVDS or 24-bit RGB up to 1080p60 1x TV CVBS output with PAL/NTSC Camera – 1x DVP digital camera, 1x MIPI CSI […]

MYIR MYC-J1028X CPU module features NXP LS1028A dual Cortex-A72 SoC with time-sensitive networking (TSN)

LS1028A CPU module heatsink

MYIR has introduced the MYC-J1028X CPU module based on NXP LS1028A dual Cortex-A72 processor with time-sensitive networking (TSN) support, as well as the MYD-J1028X development board with five Gigabit Ethernet ports, and other interfaces to evaluate the solution. The MYC-J1028X is equipped with 2GB DDR4, 8GB eMMC flash, a 32Kbit EEPROM, and a temperature sensor by default, and exposes all I/Os through a 314-pin MXM 3.0 edge connector. The module also comes with footprints to solder a QSPI NAND Flash, XSPI NOR Flash, and/or ECC memory. Typical applications include industrial routers, industrial control, edge computing, automotive electronics, industrial IoT, and more. MYC-J1028X CPU module MYC-J1028X SoM specifications: SoC – NXP Layerscape LS1028A (LS1028AXN7PQA) dual-core Cortex-A72 processor @ 1.5 GHz with 3D GPU, integrated TSN Ethernet switches and Ethernet controllers System Memory – 2GB DDR4 (optional 3GB / 4GB DDR4); optional DDR4 ECC Storage 8GB eMMC flash (optional 16GB / 32GB) […]

MYIR introduces i.MX 8M Plus module and devkit with AI/ML capabilities

MYIR i.MX 8M Plus development kit

There are already plenty of i.MX 8M Plus systems-on-module, but here’s one more courtesy of MYIR Tech with MYC-JX8MPQ i.MX 8M Plus module with as well as MYD-JX8MPQ development board for evaluating the solution. The module is especially well suited to applications leveraging Artificial Intelligence (AI) and Machine Learning (ML) with the NXP Cortex-A53/M7 integrating a 2.3 TOPS Neural Processing Unit (NPU). The module comes with up to 6GB LPDDR4, 128GB eMMC flash, 32MB QSPI flash, a PMIC for power management, as well as a 314-pin MXM 3.0 connector exposing the I/Os from the processor. MYC-JX8MPQ module specifications: SoC – NXP i.MX 8M Plus (MIMX8ML8CVNKZAB) quad-core Cortex-A53 processor @ 1.6 GHz, real-time Arm Cortex-M7 co-processor @ 800 MHz, 2.3 TOPS AI accelerator, 2D/3D GPU, HiFi4 Audio DSP, and 1080p VPU System Memory – 3GB LPDDR4 (option up to 6GB) Storage – 8GB eMMC flash (option up to 128GB), 32MB QSPI […]

A Smaller STM32MP1 SoM – Meet MYIR MYC-YA15XC-T CPU Module

Smaller STM32MP1 SoM

MYIR launched a fairly compact SoM and accompanying development board based on STM32MP1 Cortex-A7 microprocessor in January 2020. But apparently, the 45mm by 43mm MYC-YA157C module was too big (or expensive) for some customers, so the company has now designed a smaller STM32MP1 SoM with MYC-YA157C-T measuring just 39mm by 37mm thanks to the removal of the Ethernet PHY. MYC-YA15XC-T STM32MP1 system-on-module Specifications: SoC (one or the other) STM32MP151AAC3 single-core Cortex-A7 processor up to @ 800 MHz with Cortex-M4 core @ 209 MHz STM32MP153AAC3 dual-core Cortex-A7 processor up to @ 800 MHz with Cortex-M4 core @ 209 MHz, and CAN FD interface STM32MP157AAC3 dual-core Cortex-A7 processor up to @ 800 MHz, with Cortex-M4 core @ 209 MHz, 3D GPU, DSI display interface, and CAN FD Two configurations for memory and storage 256MB DDR3L, 256MB Nand Flash, 32KB EEPROM or 512MB DDR3L, 4GB eMMC Flash, 32KB EEPROM 148-pin stamp hole expansion […]

MYS-8MMX i.MX 8M Mini SBC runs Yocto 3.0 Linux or Ubuntu 18.04

i.MX 8M Mini SBC

MYiR Tech has just launched MYS-8MMX single board computer powered by NXP i.MX 8M Mini Cortex-A53/Cortex-A4 processor with 2GB RAM, 8GB eMMC flash, and designed for embedded applications in areas of consumer electronics, industrial automation, smart healthcare, security monitoring, etc… thanks to its video and graphics capabilities. MYS-8MMX SBC specifications: SoC  – NXP i.MX 8M Mini Quad quad-core Cortex-A53 processor @ 1.6 GHz (industrial temp.) or 1.8 GHz (commercial temp.), Arm Cortex-M4F realt-time core @ 400 MHz, Vivante 2D and 3D GPU’s, and 1080p VPU System Memory – 2GB DDR4 (supports up to 4GB) Storage – 8GB eMMC flash (supports up to 128GB), 32MB QSPI flash, MicroSD card slot, M.2 NVMe SSD support Video Output 40-pin FPC connector for LVDS & capacitive touchscreen interface 1x HDMI output up to 1080p60 Camera I/F – 24-pin FPC connector with MIPI-CSI Connectivity Gigabit Ethernet RJ45 port 2.4GHz/5GHz dual-band WiFi 5 and Bluetooth 5.0 […]

MYIR launches FZ5 EdgeBoard AI Box for AI on the Edge

FZ5 EdgeBoard AI Box

Back in July of this year (2020), MYRI technology announced the MYIR’s FZ3 deep learning accelerator card powered by the Xilinx Zynq UltraScale+ ZU3EG Arm FPGA MPSoC and it is capable of delivering up to 1.2TOPS computing power. With only a few months since that launch, MYRI technology is now announcing another two related sets of products – FZ5 EdgeBoard AI Box and the FZ5 Card. The FZ5 EdgeBoard AI Box is an AI-focused computing platform that is based on the FZ5 AI Accelerator card which is an upgrade of the FZ3 card. The FZ5 looks more like a single board computer than an actual computing card. The FZ5 accelerator is powered by the Xilinx Zynq UltraScale+ ZU5EV MPSoC which features a 1.5 GHz quad-core Arm Cortex-A53 64-bit application processor, a 600MHz dual-core real-time Arm Cortex-R5 processor, a Mali400 embedded GPU and is capable of delivering up to 2.4 TFLOPS as compared […]

Zynq UltraScale+ Arm FPGA FZ3 Deep Learning Accelerator Card Supports Baidu Brain AI Tools

FZ3 Card

MYIR’s FZ3 card is a deep learning accelerator board powered by Xilinx Zynq UltraScale+ ZU3EG Arm FPGA MPSoC delivering up to 1.2TOPS for artificial intelligence products based on Baidu Brain AI open platform. The FZ3 card also features 4GB RAM, 8GB eMMC flash, USB 2.0 & USB 3.0 ports, Gigabit Ethernet, DisplayPort (DP) output, PCIe interface, MIPI-CSI and more. MYIR FZ3 card specifications: SoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG) MPSoC Quad-core Arm Cortex-A53 @ 1.2 GHz Dual-core Arm Cortex-R5 processor @ 600MHz Arm Mali-400MP2 GPU FPGA fabric System Memory – 4GB DDR4 Storage – 8GB eMMC flash, 32MB QSPI flash, 32KB EEPROM, MicroSD card slot Video Output – 1x Mini DisplayPort up to 4Kp30 Camera I/F 1 x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector) 1 x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector) Connectivity – 1x Gigabit Ethernet USB – 1x USB 2.0 Host, 1x USB 3.0 Host […]

4K Vision Edge Computing Platform Features Xilinx Zynq UltraScale+ ZU3EG MPSoC

VECP Vision Edge Computing Platform

Last year, MyIR Tech introduced MYD-CZU3EG development board powered by a Xilinx Zynq UltraScale+ ZU3EG MPSoC with Arm Cortex-A53 cores and FPGA fabric designed for applications such as cloud computing, machine vision, flight navigation, and other complex embedded applications. The company has now announced another Zynq Ultrascale+ ZU3EG based platform dedicated to machine vision. The VECP Starter Kit (Vision Edge Computing Platform) is comprised of MYD-CZU3EG-ISP development board fitted with the company’s MYC-CZU3EG Zynq UltraScale+ MPSoC CPU module, a fansink, and a SONY IMX334 4K camera sensor. MYD-CZU3EG-ISP development board specification: MYC-CZU3EG SoM MPSoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC with quad-core Arm Cortex-A53 processor @ 1.2 GHz, dual-core Cortex-R5 processor @ 600 MHz, Arm Mali-400MP2 GPU, and 16nm FinFET+ FPGA fabric (154K logic cells, 7.6 Mb memory, 728 DSP slices) System Memory – 4GB DDR4 @ 2,400MHz Storage – 4GB eMMC Flash, 128MB QSPI Flash […]

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