AI SEMICONDUCTOR & ACCELERATOR DEVELOPMENT
End-to-End AI Silicon Development
YNIWM has the engineering capability to develop AI semiconductor architectures from concept through FPGA prototyping and ASIC implementation.
Our expertise spans compute architecture, RTL design, memory and data-path optimization, high-speed interfaces, system integration and performance optimization for AI inference workloads.
AI ACCELERATION
YNIWM develops FPGA-based and custom hardware architectures for accelerating AI inference and data-intensive workloads.
We combine semiconductor engineering, RTL design and FPGA prototyping to build efficient hardware solutions tailored to real-world applications.
AI Inference Acceleration
High-performance hardware architectures for AI inference workloads.
FPGA-Based AI Accelerators
Flexible acceleration platforms for rapid development and validation.
Custom AI Compute Architecture
Application-specific compute, memory and data-movement architectures optimized for target AI workloads.
FROM ALGORITHM TO SILICON
FPGA prototyping enables rapid validation of AI accelerator architectures, compute dataflows and memory systems before transitioning to ASIC or SoC implementation.
