Synaptics Torq™ NPU
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Google Research and Synaptics Launch Next-Generation Coral Dev Board for Developers to Bring Multimodal Edge AI Applications to Life
Globenewswire· 2026-03-10 07:00
Core Insights - Synaptics Incorporated has launched a limited-edition Coral Dev Board powered by the Astra™ SL2610 product line, featuring the industry's first implementation of the Coral NPU from Google Research, aimed at enhancing power-efficient AI experiences across various applications [1][4] Product Features - The Coral Dev Board is designed for ultra-low power, always-on applications, enabling efficient on-device inference for battery-constrained devices, and includes hardware interfaces such as camera and display support, microphone inputs, and Wi-Fi/Bluetooth connectivity [2] - The board is targeted at AI and ML engineers, system architects, and ODMs/OEMs, providing an open environment for experimentation and rapid prototyping [2] Software and Development Tools - Synaptics' MLIR-based Torq open-source toolchain supports popular machine learning frameworks, facilitating a unified development experience from model optimization to deployment [3] - The combination of the Coral NPU and Synaptics Torq toolchain offers a robust foundation for building private and efficient Edge AI applications [3] Partnerships and Ecosystem - Synaptics is collaborating with Grinn Global and RS to launch the Coral Dev Board, which will come pre-configured with an Edge AI experience featuring the Gemma 3 270M model, allowing immediate development of on-device AI workloads [4] - The partnership aims to provide a clear path from evaluation to scalable deployment, combining production-ready hardware with rapid prototyping capabilities [4] Market Position and Future Plans - Synaptics emphasizes its commitment to building an open, developer-first Edge AI ecosystem, with plans for future development boards in collaboration with Google Research [5] - The company aims to meet the demand for accessible, production-grade platforms that facilitate immediate development for Edge AI applications [5][6]