🚀 ​Powering the Future of EV Charging with FET-MA35-S2 SoM!
As electric vehicles revolutionize transportation, charging infrastructure must keep pace. The ​FET-MA35-S2 SoM is here to supercharge your TCU designs!
With Forlinx Embedded's FET-MA35-S2, accelerate your TCU development and build smarter, safer charging piles. Let's fuel the EV revolution together! ⚡🔋
https://www.forlinx.net/industrial-news/ev-charging-tcu-som-nuvoton-ma35-681.html
Forlinx FET3576-C System on Module (SoM) now supports Linux 6.1, Android 14, & Forlinx Desktop 24.04!
Built on #RK3576 with 6 TOPS NPU—ideal for #AIoT, #EdgeComputing & more.
Power, stability, speed. đź’Ş
We're excited to unveil our latest guide on porting AI large language models—from DeepSeek-R1 to Qwen!
Explore now and join the conversation on advancing AI technology!
https://www.forlinx.net/industrial-news/deepseek-to-qwen-ai-model-porting-guide-675.html
🔧 Porting EtherCAT on Forlinx OKMX6ULx? We've got you covered!
Our guide covers:
✔️ Source code setup
✔️ Cross-compiling & driver installation
✔️ Real-time communication optimization
Optimize your industrial automation today! 🚀
đź”— Read more: https://www.forlinx.net/industrial-news/forlinx-okmx6ulx-porting-ethercat-674.html
Unlock ​sub-micron precision in industrial motor measurement using Texas Instruments’ AM6254 platform and the ​Enhanced Quadrature Encoder Pulse (eQEP) interface. Ideal for robotics, CNC machines, and intelligent systems!
👉 Explore the full guide with diagrams & code →
https://www.forlinx.net/industrial-news/ti-am6254-eqep-motor-measurement-guide-673.html
#IndustrialAutomation #MotorControl #EmbeddedSystems #TIAm6254 #EQEP
Achieve sub-micron precision for industrial motors using TI AM6254’s eQEP interface. Learn how to implement real-time position/speed detection with step-by-step hardware/software integration guides. Optimize trajectory tracking & dynamic response in automation.
Achieve Ultra-Fast Startup with Forlinx FET-MX9352-C SoM!
In industrial automation, every second counts! With Falcon Mode on the Forlinx Embedded FET-MX9352-C, you can significantly reduce boot time and enhance system responsiveness. We've achieved a lightning-fast startup by optimizing the Bootloader, Kernel, and User-space startup in just ~3 seconds!
Learn more about Falcon Mode and how it revolutionizes embedded systems!
đź”— Read more: https://www.forlinx.net/industrial-news/fast-boot-falcon-mode-imx9352-671.html
Forlinx Embedded partners with ​Allwinner to introduce the ​FET536-C SoM – a game changer for industrial edge computing!
🔹 ​1.6GHz Quad-Core Cortex-A55 CPU + ​64-bit RISC-V MCU
🔹 ​2TOPS NPU for advanced edge ML applications
🔹 Industrial-grade reliability with ​secure boot, ​full-path ECC, and ​AMP-RT
🔹 Rich connectivity: USB, CAN-FD, Ethernet, SPI, ADC, and more!
Ready to boost your next project?
👉 Learn more: https://www.forlinx.net/product/t536-c-system-on-module-164.html
Unleash industrial AI potential with the Forlinx FET536-C System on Module(SoM) / Computer on Module based on Allwinner T536 processor – 4x Cortex-A55, 2TOPS NPU, 17x UARTs, ruggedized for IoT/robotics.
Learn how to seamlessly integrate the AX210NGW Wi-Fi 6E module with the OK3576-C development board. This guide covers Wi-Fi connection steps, kernel configuration, module compilation, and setting up both STA and AP modes. Join us.
Discover how to deploy the DeepSeek-R1 large model on the OK3588-C development board. This guide covers download, conversion, compilation, and deployment steps. It also showcases demos and performance evaluation. Unleash the power of AI on the edge with this comprehensive tutorial.