The Pulse
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Marvell Extends ZR/ZR+ Leadership with Industry-first 1.6T ZR/ZR+ Pluggable and 2nm Coherent DSPs for Secure AI Scale-across Interconnects
2026-03-05T15:14:51+00:00
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BrainChip Announces Neuromorphyx as Strategic Customer and Go-to-Market Partner for AKD1500 Neuromorphic Processor
2026-03-05T15:04:49+00:00
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SCI Semiconductor Announces First Silicon of Cybersecure MCU, ICENI™
2026-03-05T14:23:00+00:00
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Allen Wu on Disrupting $100M Cost of Building Custom AI Chips
2026-03-05T08:25:45+00:00
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GUC Monthly Sales Report – February 2026
2026-03-05T07:22:32+00:00
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UMC Reports Sales for February 2026
2026-03-05T06:40:00+00:00
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Rambus Sets New Benchmark for AI Memory Performance with Industry-Leading HBM4E Controller IP
2026-03-05T06:23:00+00:00
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Panmnesia Signs Strategic Partnership with Openchip at MWC26
2026-03-05T03:04:00+00:00
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proteanTecs Receives Strategic Investment from TOPPAN Group Venture Arm TGVP
2026-03-04T16:20:45+00:00
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Securing RISC-V Third-Party IP: Enabling Comprehensive CWE-Based Assurance Across the Design Supply Chain
2026-03-04T14:28:52+00:00
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Altera Advances FPGA-Based Physical AI for Robotics and Edge Applications
2026-03-04T14:16:27+00:00
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Power, Not Area: Why Edge GPU Design Is Entering a New Era
2026-03-04T07:56:19+00:00
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PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
2026-03-04T07:45:53+00:00
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TES offers new High-Speed Comparator IPs for X-FAB XT018 - 0.18µm BCD-on-SOI technology.
2026-03-04T06:52:00+00:00
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The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge
2026-03-04T06:43:00+00:00
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QuickLogic Reports Fiscal Fourth Quarter and Full Year 2025 Financial Results
2026-03-04T06:37:24+00:00
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MIPS, GlobalFoundries Bet on Physical AI
2026-03-03T19:40:00+00:00
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A CHERI on Top: A Better Way to Build Embedded Secure SoCs
2026-03-03T15:46:51+00:00
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IPrium releases LunaNet AFS LDPC Encoder and Decoder for Lunar Navigation Satellite Systems
2026-03-03T12:50:52+00:00
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Quintauris Introduces Altair: The Unified RISC-V Profile for Embedded Systems
2026-03-03T12:45:00+00:00
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TeraPool: A Physical Design Aware, 1024 RISC-V Cores Shared-L1-Memory Scaled-up Cluster Design with High Bandwidth Main Memory Link
2026-03-03T09:37:00+00:00
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IAR accelerates SDV development with Infineon DRIVECORE bundles and AURIX™ RISC-V Debug capabilities
2026-03-03T09:20:00+00:00
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Ceva Launches PentaG-NTN™ 5G Advanced Modem IP, Enabling Satellite-Native Innovators to Rapidly Deploy Differentiated LEO User Terminals
2026-03-03T07:11:20+00:00
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Faraday Broadens IP Offerings on UMC’s 14nm Process for Edge AI and Consumer Markets
2026-03-03T06:57:00+00:00
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Accellera Approves Clock and Reset Domain Crossing (CDC/RDC) Standard 1.0 for Release
2026-03-02T20:06:06+00:00
The Semiconductor IP Marketplace that puts you first
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Spotlight
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HBM4E Controller IP
- Supports HBM4/4E memory devices
- Supports all standard HBM4 channel densities (up to 32 Gb)
- Supports up to 16 Gbps/pin
- Refresh Management (RFM) support
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14-bit 12.5MSPS SAR ADC - Tower 65nm
- The A14B12p5M is a high-performance, low-power analog-to-digital converter (ADC) intellectual property (IP) block designed for applications requiring both high speed and power efficiency.
- It offers 14-bit resolution with maximum sampling rate of 12.5 megasamples per second (MS/s), making it ideal for RF communications, radar sensing, and aerospace and defense applications.
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5G-Advanced Modem IP for Edge and IoT Applications
- PentaG‑Edge is a fully integrated, plug‑and‑play 5G‑Advanced modem IP for IoT/industrial and terrestrial UE applications
- Multiple IoT use cases such as industrial 5G networks, robotics, drones, wearables, XR headsets, broadband CPE, V2X
- Enables rapid creation of custom modem products using an integrated modem solution aligned to 3GPP Rel‑18.
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TSN Ethernet Endpoint Controller 10Gbps
- The TSN-EP-10G implements a configurable controller meant to ease the implementation of endpoints for networks complying with the Time Sensitive Networking (TSN) standards
- It integrates hardware stacks for timing synchronization (IEEE 802.1AS-2020) and traffic shaping (IEEE 802.1Qav and 802.1Qbv), frame-preemption (IEEE 802.1Qbu and IEEE 802.3br) and a low-latency Ethernet MAC.
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13ns High-Speed Comparator with no Hysteresis
- The TS_CMP_13ns_X8 is a high-speed comparator with no hysteresis and a propagation delay of 13ns while having a differential input signal of 25mV.
- The comparator consumes current of 350μA.
- The circuit features an Enable signal turning on/off the comparator.
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Frequency Divider
- Division ratio: any integer from 1 to 8/64/512/4096
- Maximum input frequency 2GHz – 10+GHz (A)
- Clock input and output signals are differential CMOS
- Control signals are single ended CMOS
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