Overview
The mid-range Andes Technology N10 processor is ideal for applications ranging from consumer media players and smart glasses all the way to touch panel processing, motor control, and power management. The N10 features a 5-stage pipeline and operates at over 800 MHz clock rate providing plenty of performance for automotive electronics and industrial control. It also comes with I/D cache or local memory options that enable the core to more efficiently perform for networking or communication applications.
In the fast growing IoT market, the highly performance efficient N10 processor can be used as IoT gateway to bridge those ZigBee, Bluetooth or WiFi sensor devices to the internet connectivity. In addition, with the tightly-coupled IEEE-754 compliant NCESFP100 single-precision floating point unit (FPU), the N10 processor can be used in the high precision sensor devices to manipulate the data from ADC which converts physical continuous sensor signals to digital data.
Learn more about CPU IP core
本月,头部数字EDA企业思尔芯宣布,荣获RISC-V处理器IP领导厂商Andes晶心科技(Andes Technology)颁发的“2026年度最佳合作伙伴”奖项。该荣誉旨在表彰思尔芯在RISC-V生态共建、原型验证平台支撑及联合市场拓展中与Andes晶心深度协同、持续创造客户价值的突出表现。
This award recognizes Quintauris’ exceptional dedication to develop reference architectures and advancing mass-market commercialization for the RISC-V ecosystem with Andes.
Based on Visual Studio Code (VS Code), it is integrated, lightweight, and designed to streamline the development experience by bringing Andes’ industry-leading toolchain and advanced debugging capabilities directly into the most popular integrated development environment (IDE).
Built upon the production-proven D23 architecture, the 32-bit D23-SE processor is specifically engineered for safety-critical systems requiring deterministic performance, robust security mechanisms, and accelerated SoC compliance workflow.
This milestone release addresses one of the industry’s most challenging hurdles: enabling resource-heavy Transformer architectures such as Vision Transformers (ViT), Vision-Language Models (VLMs), and Small Language Models (SLMs) to execute efficiently on power- and cost-constrained edge platforms.
Validated Architecture Models Enable Early Design Exploration and Pre-RTL Optimization