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Tag: AI Chip Design

Matrix Multiply Unit: Architecture, Pipelining, and Verification Techniques

Posted on November 25, 2025December 13, 2025 By vlsifacts No Comments on Matrix Multiply Unit: Architecture, Pipelining, and Verification Techniques

The Matrix Multiply Unit (MMU) is the computational powerhouse at the core of every AI accelerator, enabling the rapid execution of neural network operations that drive today’s intelligent systems. In this article, we unravel the architectural choices, design strategies, and rigorous verification methods that go into building a high-performance MMU. Whether you’re a hardware designer, verification engineer, or AI enthusiast, you’ll gain practical insights into optimizing matrix multiplication for speed, efficiency, and reliability – empowering your next AI hardware project.

AI for VLSI, DHD

Top AI Tools Powering the Semiconductor Industry: A Comprehensive List for 2025

Posted on June 23, 2025December 13, 2025 By vlsifacts No Comments on Top AI Tools Powering the Semiconductor Industry: A Comprehensive List for 2025

The semiconductor industry is evolving rapidly, and Artificial Intelligence (AI) is at the heart of this transformation. From accelerating chip design to improving manufacturing efficiency, AI-powered tools are reshaping the entire semiconductor value chain. Companies that adopt these tools are gaining a clear competitive edge in terms of speed, accuracy, and cost-efficiency. In this blog…

Read More “Top AI Tools Powering the Semiconductor Industry: A Comprehensive List for 2025” »

AI for VLSI

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