RISC-V CPU IP Cores
RISC-V has moved from an academic ISA project to a major architectural option for modern SoC development. As semiconductor companies seek greater control over CPU integration, software ecosystems, and licensing costs, RISC-V is increasingly positioned alongside ARM as one of the two primary processor architectures considered for embedded and application-specific designs.
Understanding RISC-V
RISC-V is an open instruction set architecture (ISA) originally developed at the University of California, Berkeley, in 2010. Unlike proprietary CPU architectures, the ISA itself is open and can be implemented without paying royalties or mandatory licensing fees.
The name “RISC-V” refers to the fifth generation of the Reduced Instruction Set Computer (RISC) research project. The architecture defines the instruction set and execution model, while allowing vendors to develop their own microarchitectures, extensions, and optimizations.
RISC-V supports multiple compute classes, including 32-bit, 64-bit, and future 128-bit implementations, making it applicable across embedded MCUs, storage controllers, AI accelerators, automotive systems, and high-performance computing platforms.
A key characteristic of the RISC approach is its simplified instruction model and heavy reliance on register-based operations, enabling efficient pipelines and scalable implementations ranging from ultra-low-power cores to superscalar processors.
Growing Industry Adoption
RISC-V adoption has accelerated significantly over the last few years, driven by demand for architectural flexibility and reduced dependency on proprietary CPU ecosystems. What initially appeared attractive mainly to startups and smaller fabless companies is now being explored by many large semiconductor and hyperscale players.
Several notable examples illustrate this momentum:
- Google integrated a RISC-V-based security processor in the Titan M2 module used in Pixel devices.
- Seagate Technology disclosed internally developed RISC-V processor cores for storage controllers.
- NVIDIA Ships Over One Billion RISC-V Cores in 2024 Inside Its Accelerators, Up to 40 Cores Per Chip.
- Huawei and its semiconductor division HiSilicon introduced products incorporating RISC-V processors.
- Intel has participated in the ecosystem through research initiatives and industry collaboration around open ISA development.
The expansion of the RISC-V ecosystem is also reflected in the growing number of commercial IP vendors offering configurable CPU cores, vector processors, AI-oriented extensions, safety-certified implementations, and domain-specific accelerators.
RISC-V Versus ARM
The comparison between ARM and RISC-V is often framed around open versus proprietary ecosystems, but the differences extend beyond licensing models.
Licensing and Royalties
One of the main advantages of RISC-V is that the ISA can be implemented without paying architecture royalties. Companies can design custom CPUs, extend the instruction set, or integrate domain-specific accelerators without requiring architectural approval from a central IP owner.
Commercial RISC-V IP vendors still charge licensing fees for their implementations, verification environments, toolchains, or software stacks, but the ISA itself remains open.
ARM follows a more traditional IP licensing model. Access to ARM CPU cores typically requires upfront licensing agreements, and production royalties are generally applied per shipped device. Architectural customization is also more restricted unless a company obtains an architectural license.
Customization and Flexibility
RISC-V’s modular architecture allows implementers to select only the extensions required for a given workload. This flexibility is particularly attractive for:
- AI accelerators
- Domain-specific processors
- Automotive controllers
- Edge inference devices
- Storage and networking ASICs
- Security processors
The ability to add custom instructions and tightly couple accelerators is one of the strongest technical arguments in favor of RISC-V for specialized silicon.
Ecosystem Maturity
ARM currently maintains a significantly more mature ecosystem in terms of software support, developer tools, operating system compatibility, safety certifications, and production deployment history.
ARM processors are deeply established across smartphones, automotive electronics, industrial systems, networking equipment, and aerospace applications. The ecosystem benefits from decades of optimization and software compatibility.
RISC-V, while progressing rapidly, is still building comparable maturity in some segments. Toolchains, debuggers, operating system support, and verification environments continue to improve, but ecosystem fragmentation and software portability remain ongoing industry challenges.
Why Semiconductor Companies Are Interested
The growing interest in RISC-V is driven by several strategic considerations:
- Reducing long-term royalty exposure
- Avoiding dependence on a single CPU ecosystem provider
- Enabling workload-specific instruction extensions
- Improving integration flexibility for heterogeneous SoCs
- Supporting chiplet-based and accelerator-centric architectures
- Increasing control over hardware roadmaps
This is especially relevant in AI infrastructure, edge computing, storage, automotive, and industrial markets, where companies increasingly differentiate through custom silicon rather than standardized compute platforms.
The Emerging RISC-V IP Landscape
The rise of RISC-V has also created a rapidly expanding commercial IP market. Vendors now provide:
- Embedded MCU-class processors
- Linux-capable application CPUs
- Vector processing extensions
- Functional safety-certified cores
- AI-oriented accelerators
- Security-focused implementations
- Real-time processors
- Chiplet-ready compute subsystems
As a result, the RISC-V ecosystem is evolving from an academic open ISA initiative into a commercially competitive semiconductor IP market with broad industry participation.
While ARM remains dominant across many production markets today, RISC-V has established itself as a credible long-term alternative for companies seeking greater architectural flexibility and control over custom silicon development.
Related Articles
- A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core
- Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL
- EPAC: A RISC-V Accelerator from the European Processor Initiative
- Microarchitectural Co-Optimization for Sustained Throughput of RISC-V Multi-Lane Chaining Vector Processors
- RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification
Related Products
- RISC-V Debug & Trace IP
- Fully-coherent RISC-V Tensor Unit
- RISC-V Display Connectivity Subsystem (DCS)
- RISC-V IOPMP IP
- Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex
See all 249 related products in the Catalog
Related Blogs
- RISC-V and GPU Synergy in Practice: A Path Towards High-Performance SoCs from SpacemiT K3
- Implementing Dual-core Lockstep in the CHIPS Alliance VeeR EL2 RISC-V core for safety-critical applications
- Arteris × XuanTie: The “Data Highway” for High-Performance RISC-V SoCs
- Securing RISC-V Third-Party IP: Enabling Comprehensive CWE-Based Assurance Across the Design Supply Chain
- RT-Europa: The Foundation for RISC-V Automotive Real-Time Computing
Related News
- SiFive Sets New Bar for High-Performance RISC-V with Third-Generation Performance P550 and P570 IP
- OSYX Technologies and Andes Technology Announce Strategic Collaboration on RISC-V Virtualization
- SiFive and HighTec EDV-Systeme: Together strengthening the RISC-V Ecosystem for Safe and Secure Automotive and Industrial Applications
- Quintauris and Elektrobit Partner to Enable Reliable RISC-V Solutions for Automotive
- Syntacore's SCR RISC-V IP Now Supports Zephyr 4.3
The Pulse
- aiMotive announces aiWare5, delivering unrivalled flexibility and scalability for L2+ to L4 automotive AI workloads
- Why Vision LLMs Force A Rethink Of Edge AI Hardware
- eFPGA: The ASIC Power-Up, Not an Off-the-Shelf Substitute
- IC Manage GDP-AI Transforms IP Lifecycle Management with Generative and Agentic AI
- BrainChip Expands AI Ecosystem with Strategic Software Partners
- Cadence Joins OpenTitan as a Tools Partner to Accelerate Open-Source Silicon Security
- TES is extending its on-chip sensor IP portfolio
- UMC Announces Release of 14nm eHV FinFET Platform, Advancing Innovation in Next-Generation Smartphone Displays
- Weebit Nano raises $15 million via strongly supported SPP
- Fractile raises $220M to build the next generation of inference hardware
- Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA
- QuickLogic Announces New Seven-Figure FPGA Hard IP Contract
- A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core
- Siemens democratizes EDA software access for European electronics industry through the Chips JU European Chips Design Platform (EuroCDP) project
- Siemens unveils AI-powered library characterization to accelerate semiconductor design