
Edge AI Design Platform: NPU-Driven Edge AI and Machine Learning Applications
Unlock the Future of Edge AI with Advanced ASIC Design Services

In the rapidly evolving field of artificial intelligence (AI) and machine learning (ML), especially for edge applications, having a high-performance, scalable, and energy-efficient hardware platform is crucial. Our Edge AI Design Platform delivers cutting-edge solutions specifically tailored for Neural Processing Units (NPUs) that drive edge AI and machine learning.
Thousands of NPU Elements for Scalable AI/ML Applications
Our platform supports the integration of thousands of NPU elements, ensuring unparalleled computational capabilities for edge AI applications, including large language models (LLMs). Whether it’s real-time decision-making, enhanced data processing, or autonomous operations, our NPU-driven ASIC design elevates the potential of edge AI by offering massively parallel processing tailored to your AI workloads.
Advanced TSMC N4 Process Node for Enhanced Performance
We leverage TSMC’s N4 (4nm) process node to deliver enhanced performance, power efficiency, and density. This advanced process node provides the right balance of speed, power, and scalability, crucial for high-performance AI inference and training at the edge. The N4 node ensures that your edge AI devices have the optimal balance of performance-per-watt, reducing energy consumption while delivering faster insights and decision-making.
Wafer-on-Wafer (WoW) Technology for Superior Integration
Our platform utilizes Wafer-on-Wafer (WoW) 3D integration technology, allowing for the stacking of multiple layers of integrated circuits (ICs). This enables superior data transfer rates, power efficiency, and overall performance without increasing the silicon footprint. WoW technology dramatically enhances memory bandwidth and communication between NPU elements, enabling LLMs to run efficiently on edge devices while maintaining power and thermal efficiency.
ARM CSV3 Technology for Advanced Computing Efficiency
Our platform integrates ARM CSV3 technology, further boosting computational performance and data processing efficiency. This advanced architecture is specifically designed for parallel processing and AI inference applications, providing superior performance to meet the demands of large-scale data processing at the edge.
AI-Driven Custom ASIC Design
Our design team specializes in AI-driven ASIC customization tailored to your unique machine learning applications. Whether you’re deploying AI models at the edge for robotics, autonomous vehicles, smart cities, or any IoT-driven AI solutions, our team can tailor the NPU architecture to meet your specific performance and power needs.
Comprehensive Ecosystem and Tools
We offer a complete development ecosystem, including simulation, verification, and hardware-software co-design tools, which accelerates the ASIC development process. Our platform seamlessly integrates with popular AI/ML frameworks, shortening development cycles from concept to silicon.


Why Choose Our ASIC Design Platform?
Empower your edge AI solutions with a highly scalable and efficient ASIC platform designed for the future of machine learning and large language models. Partner with us today to unlock new possibilities in edge AI innovation.
Optimized for Edge AI and ML
Our platform is tailored for applications demanding low-latency, real-time AI processing at the edge.
Industry-Leading Technology
Leveraging TSMC’s N4 process node, ARM CSV3, and Wafer-on-Wafer (WoW) 3D technology, we ensure the highest level of performance and efficiency.
Scalability and Customization
Scale your AI solutions with thousands of NPU cores and customize the architecture to suit your specific needs.
End-to-End Support
From design to silicon, our expert team provides comprehensive support through every stage of the ASIC development process.
Whether you’re looking for customized high-performance chip designs or comprehensive solutions, our expert team is ready to support you every step of the way. Contact us to collaborate and shape the core of next-generation technology.


