{"id":1011755,"date":"2026-10-20T10:35:08","date_gmt":"2026-10-20T14:35:08","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/synaptics-and-google-research-expand-the-coralboard-ecosystem\/"},"modified":"2026-10-20T10:35:08","modified_gmt":"2026-10-20T14:35:08","slug":"synaptics-and-google-research-expand-the-coralboard-ecosystem","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/synaptics-and-google-research-expand-the-coralboard-ecosystem\/","title":{"rendered":"Synaptics and Google Research Expand the Coralboard\u2122 Ecosystem"},"content":{"rendered":"

\nCoralboard SL reaches general availability and ships now from DigiKey. New Coralboard SR joins the portfolio. Torq\u2122 Edge AI compiler now also available for Coralboard.
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SAN JOSE, Calif., Oct. 20, 2026 (GLOBE NEWSWIRE) — Synaptics\u00ae<\/sup> Incorporated (Nasdaq: SYNA<\/a>) today announced that the latest version of the Synaptics Coralboard<\/a> is available for purchase <\/a>through DigiKey starting today. Developed in collaboration with Google Research, the Coralboard SL is powered by the Synaptics Astra\u00ae<\/sup> SL2619<\/a>, which integrates the 1 TOPS Synaptics Torq\u2122 NPU featuring the first implementation of the Coral NPU. Following an initial limited-edition run, this version moves the platform to general availability through DigiKey\u2019s global distribution network. The Coralboard portfolio is built for ultra-low power, always-on applications using ambient sensing, and is designed to deliver efficient, accelerated on-device inference for resource-constrained form factors.<\/p>\n

Expanding the ecosystem and broadening developer choice, Synaptics also introduced the Coralboard SR, based on the newly launched Synaptics Astra\u00ae SR200 Series<\/a> of xMCUs, a new class of AI-native, multimodal processors combining heterogeneous compute with integrated, high-bandwidth memory to bring vision, voice, and graphics to Edge and Physical AI systems.<\/p>\n

The Coralboard family is designed to deliver a consistent Edge AI developer experience across the SL and SR versions thanks to the MLIR-based Synaptics Torq\u2122 compiler and runtime. Synaptics\u2019 Torq open-source toolchain supports widely used ML frameworks, giving developers a single path from model optimization through deployment. With an open, collaborative development and continuous refinement approach, Torq is designed to deliver day-0 support for Edge AI model families, such as Google Gemma3 270M (achieves up to 12-16 tokens\/second with INT8 and 4-bit quantization respectively), LiquidAI LFM2.5, and Ultralytics YOLO26, employing active-research techniques such as batch-prefill and dynamic quantization. <\/p>\n

Torq enables optimal execution across the Synaptics Astra processor portfolio by natively mapping model network layers to accelerator engines. Additionally, the open-source nature of Torq allows users to deploy agentic AI tools and workflows that parse through the source code and assist in feature-addition, performance customization, and debugging, promoting true Edge AI developer freedom.<\/p>\n

The Synaptics Coralboard brings together the open hardware and software foundation for private, efficient Edge AI applications across wearables, hearables, smart home appliances, automation hubs, industrial control systems, and robotics.<\/p>\n

Synaptics Coralboard SL comes with:<\/strong><\/p>\n