The Pulse
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GUC UCIe 64G IP在台积电N3P上完成流片
2026-02-25T18:14:00+00:00
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MIPI Alliance发布UniPro v3.0与M-PHY v6.0,加速移动、PC及车载领域边缘人工智能的JEDEC UFS性能提升
2026-02-24T14:31:50+00:00
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proteanTecs 与孤波科技强强联手,为先进半导体系统提供统一分析解决方案
2026-02-24T06:29:51+00:00
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M31完成4纳米 MIPI M-PHY v5.0硅验证,加速布局 UFS 4.1 高速存储与车载市场
2026-02-23T07:03:23+00:00
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ChipAgents完成7,400万美元融资,加速拓展Agentic AI平台,推动芯片设计创新提速
2026-02-19T06:22:15+00:00
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恩智浦扩大Arteris技术部署以加速边缘AI领域领导地位
2026-02-12T05:57:58+00:00
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SmartDV与Mirabilis Design宣布就SmartDV IP系统级模型达成战略合作
2026-02-11T08:33:01+00:00
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Imagination Technologies 任命 Markus Mosen 为首席执行官
2026-02-10T12:40:15+00:00
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全球首款120通道PCIe5交换芯片面世,为国产AI基础设施赋能
2026-02-06T12:54:19+00:00
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晶心科技發布 RISC-V Now! by Andes — 聚焦商用與量產級之RISC-V 全球研討會
2026-02-06T06:58:50+00:00
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芯原增强版ISP8200-FS系列IP获ASIL B功能安全认证
2026-02-05T06:39:25+00:00
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Telechips与DivX续签集成电路技术许可协议
2026-01-28T15:27:55+00:00
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Lightmatter 与创意电子 (GUC) 携手合作为 AI 云端大厂提供共同封装光学 (CPO) 解决方案
2026-01-28T06:48:00+00:00
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Access Advance 推迟HEVC Advance 费率上调日期
2026-01-27T07:21:39+00:00
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新思科技与格罗方德签署最终协议,出售处理器IP解决方案业务
2026-01-23T12:55:13+00:00
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思尔芯、MachineWare与Andes晶心科技联合推出RISC-V协同仿真方案,加速芯片开发
2026-01-23T07:35:06+00:00
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TASKING携手芯来科技推动RISC-V汽车软件创新
2026-01-21T07:50:11+00:00
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LPDDR6来了!芯动科技LPDDR6子系统IP实现头部客户交付
2026-01-21T07:41:00+00:00
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新思科技亮相CES 2026,赋能AI驱动与软件定义汽车工程新时代
2026-01-16T12:23:29+00:00
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SiFive 携手 NVIDIA:以 NVLink Fusion 驱动下一代 RISC-V AI 数据中心
2026-01-15T14:23:00+00:00
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最佳合作!Andes晶心科技×经纬恒润共筑RISC‑V软件生态
2025-12-19T12:28:43+00:00
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英伟达与新思科技宣布战略合作,携手重塑工程设计未来
2025-12-18T12:30:00+00:00
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Quintauris 与 SiFive 宣布合作伙伴关系,共同推进 RISC-V 生态体系发展
2025-12-18T11:33:13+00:00
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SiFive车规级RISC-V IP获IAR最新版嵌入式开发工具全面支持,加速汽车电子创新
2025-12-15T08:11:00+00:00
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Andes晶心科技发布 D23-SE:支持 DCLS 与 Split-Lock 的 RISC-V 处理器,满足 ASIL-B/D 汽车功能安全应用需求
2025-12-11T07:02:28+00:00
The Semiconductor IP Marketplace that puts you first
Semi IP Hub's mission is to provide you with a platform where you can find Silicon IP cores for your next project without being harassed by dozens of sellers.
Here, your contact details are not shared with third parties unless you request to be contacted by a supplier.
Spotlight
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Multi-channel Ultra Ethernet TSS Complete Layer
- The UET-TSS-IP-369 (EIP-369) is an inline, high-performance, multi-channel packet engine that provides the complete TSS layer, bypass/drop and basic crypto processing at rates up to 1.6Tbps.
- The engine is designed for integration into the systems that require TSS processing for one or more ports. The engine is provided as separate ingress and egress data paths.
- The EIP-369 embeds the UET-TSS-IP-69 for the packet transformation.
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Specialized Video Processing NPU IP for SR, NR, Demosaic, AI ISP, Object Detection, Semantic Segmentation
- WAVE-N is a high-performance, video-specialized NPU IP designed to deliver real-time, deep learning-based image enhancement for edge devices.
- By utilizing a proprietary 'Line-by-Line' processing architecture, it significantly reduces DRAM bandwidth and achieves 4x to 10x faster processing speeds compared to conventional NPUs.
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Ultra-Low-Power Temperature/Voltage Monitor
- ± 4C temperature accuracy without trim
- ± 1C temperature accuracy after single room temperature trim
- 0.011C temperature resolution
- Voltage monitor supports both single-ended and differential inputs, with 4:1 input mux
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32Gbps SerDes PHY in GF 22nm
- This 32Gbps SerDes PHY is implemented in GlobalFoundries 22FDX CMOS technology and provides a high-performance, protocol-agnostic serial interface for advanced mixed-signal and high-speed digital SoCs.
- The PHY is architected as a modular design consisting of a low-jitter clock multiplier, a half-rate transmitter with digitally programmable feed-forward equalization, and a configurable CTLE-based receiver with digital clock-and-data recovery, supporting both 16 Gbps and 32 Gbps operation.
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Multi-channel Ultra Ethernet TSS Transform Engine
- The UET-TSS-IP-69 (EIP-69) is a high-performance, multi-channel transform engine that provides the complete TSS packet transformation (including KDF and IP/UDP updates), bypass/drop and basic crypto processing at rates up to 1.6Tbps.
- The engine is designed for integration into the systems that require TSS processing for one or more ports. The engine is provided as separate ingress and egress data paths.
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Stand-Alone ESD Cell in GF 28nm
- This ESD library is a silicon-proven set of discrete, pad-independent ESD clamps for GlobalFoundries 28nm technology.
- The library is designed to provide robust ESD protection for power domains and low-speed signals in advanced SoCs where traditional pad-based protection is insufficient or impractical.
UCIe Controller IP View All
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UCIe Die-to-Die Chiplet Controller
- High configurability and customizability
- Defines packets to communicate with a link partner using different AXI parameters
- Supports raw streaming modes
- Provides various Flit formats in UCIe v1.1 (filt format 2: 68B flit format, flit format 3/4: standard 256B flit format, and flit format 5/6: latency optimized 256B flit format)
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UCIe PHY & D2D Adapter
- 32Gbps UCIe-Advanced (UCIe-A) & Standard (UCIe-S)
- UCIe v1.1 specification
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TSMC CLN5FF GUCIe LP Die-to-Die PHY
- IGAD2DY11A is an LP (Low Power) Die-to-Die (D2D) PHY for SoIC-X Face-to-Face advanced package.
- This GUCIe PHY not only supports UCIe specification rev 1.1 compliance physical layer and Raw D2D interface (RDI) but also optionally provides the
PCIe 7.0 IP View All
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PCIe 7.0 Controller with AXI
- Optimized for high-bandwidth efficiency at data rates up to 128 GT/s
- Separate native TX/RX data path separating posted/Non posted/completion traffic
- Handles up to 4 TLPs per cycle
- Advanced PIPE modes and port bifurcation
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PCIe 7.0 PHY IP
- Physical Coding Sublayer (PCS) block with PIPE interface
- Supports PCIe 7.0, encoding, backchannel initialization
- Lane margining at the receiver
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PCIe 7.0 PHY in TSMC (N5, N3P)
- Physical Coding Sublayer (PCS) block with PIPE interface
- Supports PCIe 7.0, encoding, backchannel initialization
- Lane margining at the receiver
- Spread-spectrum clocking (SSC)
AI IP View All
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RISC-V CPU IP
- RISC-V RVA23 Compliant
- >18 SPECint2006/GHz
- 8-wide decode unit
- Advanced branch predictor
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NPU IP for Embedded ML
- Fully programmable to efficiently execute Neural Networks, feature extraction, signal processing, audio and control code
- Scalable performance by design to meet wide range of use cases with MAC configurations with up to 64 int8 (native 128 of 4x8) MACs per cycle
- Future proof architecture that supports the most advanced ML data types and operators
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Future-proof IP for training and inference with leading performance per watt and per dollar
- RISC-V-based AI IP development for enhanced training and inference.
- Silicon-proven solutions tailored for AI workload optimization.
- Energy-efficient performance with industry-leading Perf/W.
MIPI IP View All
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MIPI C-PHY/D-PHY Combo CSI-2 RX+ IP (6.0Gsps/trio, 4.5Gbps/lane) in TSMC N6
- Dual mode PHY Supports MIPI Alliance Specification D-PHY v2.5 & C-PHY v2.0
- Consists of 1 Clock lane and 4 Data lanes in D-PHY mode
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MIPI CSI-2 controller Receiver v 2.1, Compatible with MIPI C-PHY v1.2 & DPHY v2.1.
- Fully compliant to MIPI standard
- Small footprint
- Code validated with Spyglass
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MIPI D-PHY IP for TSMC (5nm, 6/7nm, 12/16nm, 22nm, 28nm, 40nm)
- Compliant to MIPI Alliance Standard for D-PHY specification Version 2.1, 1.2, 1.1
- Supports standard PHY transceiver compliant to MIPI Specification
- Supports standard PPI interface compliant to MIPI Specification
- Supports synchronous transfer at high speed mode with a bit rate of 80-2500 Mb/s
RISC-V IP View All
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32b/64b RISC-V 5-stage, scalar, in-order, Application Processor. Linux and multi-core capable. Maps upto ARM A-35. Optimal PPA.
- 32/64 Bit RISC-V core
- 5-stage pipeline
- In-order, Single issue
- Multicore Capable (up to 8 cores)
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Dual-issue Linux-capable RISC-V core
- 64-bit RISC-V core
- RVA22 profile
- Linux capable
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High-performance RISC-V CPU
- Fully compliant with the RVA23 RISC-V specification
- Comparable PPA to Arm Neoverse V3 / Cortex-X4
- Standard AMBA CHI.E coherent interface for SoC and chiplet integration
- Co-architected with Veyron E2 for seamless vector, AI acceleration, and big-little style heterogeneous compute configurations