The semiconductor IP market has undergone significant transformation over the past two decades. Sales volumes have surged, particularly in the digital domain, where workflows have matured into well-structured, repeatable processes. In contrast, analog IP continues to present complex challenges. It remains a less standardized segment, where both developers and customers
Read MoreKaiserslautern, Germany – July 31, 2025 – Creonic GmbH, the leading provider of cutting-edge communications IP cores, announces the release of Version 6.0 of its DVB-S2X Demodulator IP core. This major update introduces powerful enhancements that expand the configurability and technical performance of one of Creonic’s most mature and widely
Read MoreBLOOMINGTON, Minn. – June 29, 2025 – SkyWater Technology (NASDAQ: SKYT), the trusted technology realization partner, today announced a license agreement with Infineon Technologies, granting access to a robust library of silicon-proven, mixed-signal ASIC design IP.
This new IP enables customers to design and build high-reliability mixed-signal SoCs entirely within a secure
SANTA CLARA, Calif., July 29, 2025 — Silvaco Group, Inc. (“Silvaco”) (NASDAQ: SVCO), a provider of TCAD, EDA software, and SIP solutions that enable semiconductor design and digital twin modeling through AI software and innovation, today announced that it has entered into a definitive agreement to acquire Mixel Group, Inc.
Read MoreWoodcliff Lake, New Jersey — June 27, 2025 — Semiconductor intellectual property core provider CAST today announced a new IP core that provides lossless data compression using either the LZ4 or the Snappy algorithms. It joins CAST’s existing LZ4 and Snappy decompression IP core to provide what the company believes
Read MoreShanghai, China — June 26, 2025 — 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
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