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Network-on-Chip Accelerator

The AI accelerator has reached a major milestone with its first successful tapeout, entering testing to enhance speed through advanced technology.

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Synthara have successfully completed the first tapeout of the Network-on-Chip accelerator, Watchdog (WDG), and have entered the testing phase.

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Watchdog marks a revolutionary step forward in AI acceleration and computing. This mixed-signal Network-on-Chip accelerator, featuring compute-in-memory technology, is designed to transform how we tackle complex computational challenges.

WDG typically refers to a hardware or software mechanism that monitors and oversees the operation of a system to ensure it is functioning correctly. It is used to detect and recover from system malfunctions or failures. There are different contexts where the term “Watchdog” can be applied.

The team has worked tirelessly to develop Watchdog (WDG) in response to the growing demands of AI and machine learning. By seamlessly connecting multiple processing elements, it enables efficient communication and data sharing, resulting in faster, more efficient data transfers and unlocking the full potential of AI models.

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One of the standout features of Watchdog is its compute-in-memory capability. By performing computations closer to the data, we significantly reduce data movement and latency, delivering ultra-fast processing speeds. This innovation is set to greatly enhance computational performance.

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Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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