Jingwei Qili (HME) Distributor
Jingwei Qili (HME) is a leading Chinese FPGA (Field Programmable Gate Array) company specializing in the research, development, and production of high-performance, low-power programmable logic devices. The company offers a comprehensive portfolio of FPGA products including the HME-P (Pegasus), HME-H (Hercules), HME-M (Mars), and HME-A (Apollo) series, serving applications in communications, industrial control, video processing, and artificial intelligence.
Core Product Areas
HME-P Series (Pegasus)
High-performance FPGA series featuring LUT6 architecture, high-speed transceivers, and rich hard IP cores for demanding applications.
HME-H Series (Hercules)
Cost-effective 22nm FPGA series offering excellent performance-to-price ratio for mainstream applications.
HME-M Series (Mars)
Ultra-low power FPGA series designed for battery-powered and portable applications with advanced power management.
HME-A Series (Apollo)
High-end FPGA series with maximum logic capacity and performance for the most demanding applications.
Solutions & Applications
Tailored solutions for your industry needs
Industrial Control Solution 1
Complete 5G baseband processing solution using HME-P series FPGAs, supporting both gNodeB and UE implementations with high throughput and low latency.
Learn More →Automotive Electronics Solution 2
Complete machine vision solution for industrial inspection, measurement, and quality control applications with real-time processing capabilities.
Learn More →Latest Technical Support
Expert resources to help you succeed
HME FPGA Selection Guide - Choosing the Right Device
Comprehensive guide to selecting the right HME FPGA device for your application, covering series comparison, resource estimation, and selection criteria.
Read Article →HME FPGA Development Getting Started Guide
Step-by-step guide to getting started with HME FPGA development, from tool installation to first successful design implementation.
Read Article →Power Estimation and Thermal Design for HME FPGAs
Comprehensive guide to power estimation, thermal analysis, and power optimization techniques for HME FPGA designs.
Read Article →