VeriSilicon Holdings Co., Ltd.

VeriSilicon (688521.SH) today announced its latest enhanced versions of Image Signal Processing (ISP) IP ISP8200-FS series, ISP8200-ES and ISP8200L-ES, featuring improved performance and energy efficiency to better support complex automotive camera systems. These enhanced IPs have successfully achieved ISO 26262 ASIL B functional safety certifications issued by TÜV NORD, an international inspection and certification institution, further validating their suitability and reliability for ADAS and autonomous driving applications. For more information: https://lnkd.in/gxuHg6Nc

CES 2026 starts tomorrow! We welcome you to visit VeriSilicon at CES 2026. 📧Schedule a meeting: us_sales@verisilicon.com

VeriSilicon (688521.SH) announced that its NPU IP VIP9000NanoOi-FS has successfully achieved ISO 26262 ASIL B certification, marking a significant milestone in the functional safety capabilities of the company’s neural network processing unit portfolio. This IP features an architecture streamlined for seamless SoC integration, delivering high-quality inference with low power consumption and a compact silicon footprint. The certificate was issued by SGS-TÜV Saar, an international testing, inspection and certification institution. For more information: https://lnkd.in/ggnKr2nU

VeriSilicon (688521.SH) recently announced the joint launch of the Coral NPU IP with Google, targeting always-on, ultra-low-energy edge Large Language Model (LLM) applications. The IP is based on Google’s foundational research in open machine learning compilers and enhanced with AI security features, providing developers with a unified open-source platform to build a robust edge AI ecosystem. For more information: https://lnkd.in/gftnbhdS

VeriSilicon (688521.SH) today introduced its wireless IP platform, designed to help customers rapidly develop energy-efficient, highly integrated chips for a wide range of IoT and consumer electronics applications. Built on the 22FDX® (22nm FD-SOI) process technology of GlobalFoundries (GF), the platform supports wireless connectivity across short, medium, and long distances, and provides a complete set of IPs with competitive power, performance, and area (PPA) features. For more information: https://lnkd.in/gjjvgq4z

We’re proud to be recognized as GlobalFoundries’ Design Services Partner of the Year at #GTS2025 North America! 👏 This award highlights VeriSilicon’s proven capabilities in custom silicon design service and our close collaboration with GlobalFoundries, particularly in promoting FD-SOI technologies. Over the past decade, we have: ▪️ Developed 60+ analog and mixed-signal IPs on the 22FDX platform ▪️ Licensed these IPs 300+ times to 45 customers worldwide ▪️ Developed 43 FD-SOI design projects, with 33 already in mass production We look forward to continuing our partnership with GlobalFoundries to drive innovation of FD-SOI technology and its applications. #GTSPartner #GTS2025 #GFPartnerAwards

Join VeriSilicon at #GTS2025 North America! Visit our booth to see our latest solutions built on GlobalFoundries’ 22FDX process technology, showcasing how collaboration drives real-world, energy-efficient semiconductor applications. We’re excited to connect with partners, customers, and peers at the summit! #GTSPartner #GTS2025

VeriSilicon (688521.SH) today released the ZSP5000 Digital Signal Processing (DSP) series IPs, which are based on its fifth-generation silicon-proven DSP architecture. This product line adopts a highly scalable and energy-efficient design, and has been deeply optimized for compute-intensive workloads such as computer vision and embedded AI. Combined with the configurable nature of the architecture, this series of IP can provide excellent solutions with both energy and computing efficiency for various edge devices. For more information: https://lnkd.in/gMxSxpfR

VeriSilicon (688521.SH) today announced the latest advancements in its high-performance and scalable GPGPU-AI computing IPs, which are now empowering next-generation automotive electronics and edge server applications. Combining programmable parallel computing with a dedicated Artificial Intelligence (AI) accelerator, these IPs offer exceptional computing density for demanding AI workloads such as Large Language Model (LLM) inference, multimodal perception, and real-time decision-making in thermally and power-constrained environments. https://lnkd.in/gPkmvewu

VeriSilicon (688521.SH) today announced that its ultra-low energy and high-performance Neural Network Processing Unit (NPU) IP now supports on-device inference of large language models (LLMs) with AI computing performance scaling beyond 40 TOPS. This energy-efficient NPU architecture is specifically designed to meet the increasing demand for generative AI capabilities on mobile platforms. It not only delivers powerful computing performance for AI PCs and other end devices, but is also optimized to meet the increasingly stringent energy efficiency challenges of AI phones and other mobile platforms. https://lnkd.in/g97iuSsr