The CPU, or Central Processing Unit, is the central component of computer systems, acting as the brain that executes instructions and processes data. Our category of CPU semiconductor IPs offers a diverse selection of intellectual properties that enable the development of highly efficient and powerful processors for a wide array of applications, from consumer electronics to industrial systems. Semiconductor IPs in this category are designed to meet the needs of modern computing, offering adaptable and scalable solutions for different technology nodes and design requirements.
These CPU semiconductor IPs provide the core functionalities required for the development of processors capable of handling complex computations and multitasking operations. Whether you're developing systems for mobile devices, personal computers, or embedded systems, our IPs offer optimized solutions that cater to the varying demands of power consumption, processing speed, and operational efficiency. This ensures that you can deliver cutting-edge products that meet the market's evolving demands.
Within the CPU semiconductor IP category, you'll find a range of products including RISC (Reduced Instruction Set Computer) processors, multi-core processors, and customizable processor cores among others. Each product is designed to integrate seamlessly with other system components, offering enhanced compatibility and flexibility in system design. These IP solutions are developed with the latest architectural advancements and technological improvements to support next-generation computing needs.
Selecting the right CPU semiconductor IP is crucial for achieving target performance and efficiency in your applications. Our offerings are meticulously curated to provide comprehensive solutions that are robust, reliable, and capable of supporting diverse computing applications. Explore our CPU semiconductor IP portfolio to find the perfect components that will empower your innovative designs and propel your products into the forefront of technology.
Building on the principles of its predecessor, the Akida 2nd Generation IP further enhances AI processing at the edge by integrating additional capabilities tailored for spatio-temporal and temporal event-based neural networks. This second iteration doubles down on programmability and includes expanded activation functions and enhanced Skip Connections, offering significant flexibility for complex applications involving dynamic data streams. A key feature of the Akida 2nd Generation is its innovative approach to sparsity, optimizing the AI model's overall efficiency. The scalable fabric of nodes in this version can adeptly handle various weights and activation bit depths, adapting the computational requirements to suit the application needs effectively. This capability ensures that the Akida 2nd Generation can manage sophisticated algorithms with a heightened level of precision and power efficiency. Furthermore, this IP iteration embraces fully digital neuromorphic implementations, allowing for predictable, cost-effective design and deployment. It minimizes the computational demands and bandwidth consumption of traditional AI models by focusing compute power precisely where needed, ensuring a seamless experience with lower latency and enhanced processing accuracy. Its flexibility in configuration and scalability at the post-silicon stage makes it an essential tool for future-ready AI applications, particularly those that require real-time interaction and decision-making capabilities.
The KL730 is a sophisticated AI System on Chip (SoC) that embodies Kneron's third-generation reconfigurable NPU architecture. This SoC delivers a substantial 8 TOPS of computing power, designed to efficiently handle CNN network architectures and transformer applications. Its innovative NPU architecture significantly optimizes DDR bandwidth, providing powerful video processing capabilities, including supporting 4K resolution at 60 FPS. Furthermore, the KL730 demonstrates formidable performance in noise reduction and low-light imaging, positioning it as a versatile solution for intelligent security, video conferencing, and autonomous applications.
The Metis AIPU M.2 Accelerator Module from Axelera AI is engineered for applications requiring edge AI computing power in a compact form factor. Leveraging the quad-core Metis AIPU, this module provides efficient AI processing capabilities tailored for real-time analysis and data-intensive tasks in areas like computer vision. Designed to fit into standard NGFF (Next Generation Form Factor) M.2 sockets, it supports a wide range of AI models with dedicated 1GB DRAM memory for optimized performance. This module is especially suitable for systems needing enhanced image and video processing capabilities while maintaining minimal power consumption. The Metis AIPU M.2 Accelerator Module enhances computing architectures by enabling seamless integration of AI for a multitude of industrial and commercial applications. Its efficient design makes it ideal for environments where space is limited, but computational demand is high, ensuring that solutions are both powerful and cost-effective.
The xcore.ai platform is designed to power the intelligent Internet of Things (IoT) by combining flexibility and performance efficiency. With its distinctive multi-threaded micro-architecture, it allows for low-latency and predictable performance, crucial for IoT applications. Each xcore.ai device is equipped with 16 logical cores distributed over two tiles, each with integrated 512kB SRAM and a vector unit capable of handling both integer and floating-point operations. Communication between processors is facilitated by a robust interprocessor communication infrastructure, enabling scalability for systems requiring multiple xcore.ai SoCs. This platform supports a multitude of applications by integrating DSP, AI, and I/O processing within a cohesive development environment. For audio and voice processing needs, it offers adaptable, software-defined I/O that aligns with specific application requirements, ensuring efficient and targeted performance. The xcore.ai is also equipped for ai and machine learning tasks with a 256-bit VPU that supports various operations including 32-bit, 16-bit, and 8-bit vector operations, offering peak AI performance. The inclusion of a comprehensive development kit allows developers to explore its capabilities through ready-made solutions or custom-built applications.
The Yitian 710 Processor is T-Head's flagship ARM-based server chip that represents the pinnacle of their technological expertise. Designed with a pioneering architecture, it is crafted for high efficiency and superior performance metrics. This processor is built using a 2.5D packaging method, integrating two dies and boasting a substantial 60 billion transistors. The core of the Yitian 710 consists of 128 high-performance Armv9 CPU cores, each accompanied by advanced memory configurations that streamline instruction and data caching processes. Each CPU integrates 64KB of L1 instruction cache, 64KB of L1 data cache, and 1MB of L2 cache, supplemented by a robust 128MB system-level cache on the chip. To support expansive data operations, the processor is equipped with an 8-channel DDR5 memory system, enabling peak memory bandwidth of up to 281GB/s. Its I/O subsystem is formidable, featuring 96 PCIe 5.0 channels capable of achieving dual-direction bandwidth up to 768GB/s. With its multi-layered design, the Yitian 710 Processor is positioned as a leading solution for cloud services, data analytics, and AI operations.
Veyron V2 represents the next generation of Ventana's high-performance RISC-V CPU. It significantly enhances compute capabilities over its predecessor, designed specifically for data center, automotive, and edge deployment scenarios. This CPU maintains compatibility with the RVA23 RISC-V specification, making it a powerful alternative to the latest ARM and x86 counterparts within similar domains. Focusing on seamless integration, the Veyron V2 offers clean, portable RTL implementations with a standardized interface, optimizing its use for custom SoCs with high-core counts. With a robust 512-bit vector unit, it efficiently supports workloads requiring both INT8 and BF16 precision, making it highly suitable for AI and ML applications. The Veyron V2 is adept in handling cloud-native and virtualized workloads due to its full architectural virtualization support. The architectural advancements offer significant performance-per-watt improvements, and advanced cache and virtualization features ensure a secure and reliable computing environment. The Veyron V2 is available as both a standalone IP and a complete hardware platform, facilitating diverse integration pathways for customers aiming to harness Ventana’s innovative RISC-V solutions.
The NMP-750 is a high-performance accelerator designed for edge computing, particularly suited for automotive, AR/VR, and telecommunications sectors. It boasts an impressive capacity of up to 16 TOPS and 16 MB local memory, powered by a RISC-V or Arm Cortex-R/A 32-bit CPU. The three AXI4 interfaces ensure seamless data transfer and processing. This advanced accelerator supports multifaceted applications such as mobility control, building automation, and multi-camera processing. It's designed to cope with the rigorous demands of modern digital and autonomous systems, offering substantial processing power and efficiency for intensive computational tasks. The NMP-750's ability to integrate into smart systems and manage spectral efficiency makes it crucial for communications and smart infrastructure management. It helps streamline operations, maintain effective energy management, and facilitate sophisticated AI-driven automation, ensuring that even the most complex data flows are handled efficiently.
Designed for ultra-low power consumption, the Tianqiao-70 delivers commercial-grade processing in a 64-bit RISC-V architecture. It's particularly geared towards mobile computing, desktop applications, and environments requiring efficient performance within a constrained power budget. The Tianqiao-70 leverages advanced RISC-V features to ensure it meets modern demands for low power yet high-performance computing, especially in mobile and intelligent systems. With scalability designed within its core, this CPU can adapt to a range of applications, from mobile devices to edge AI processing. StarFive emphasizes on power efficiency without compromising on performance, making the Tianqiao-70 a strategic choice for developers focusing on sustainable and intelligent technologies. This CPU core not only extends battery life but also enhances the capability of devices to handle sophisticated tasks with minimal energy use.
RaiderChip's GenAI v1 is a pioneering hardware-based generative AI accelerator, designed to perform local inference at the Edge. This technology integrates optimally with on-premises servers and embedded devices, offering substantial benefits in privacy, performance, and energy efficiency over traditional hybrid AI solutions. The design of the GenAI v1 NPU streamlines the process of executing large language models by embedding them directly onto the hardware, eliminating the need for external components like CPUs or internet connections. With its ability to support complex models such as the Llama 3.2 with 4-bit quantization on LPDDR4 memory, the GenAI v1 achieves unprecedented efficiency in AI token processing, coupled with energy savings and reduced latency. What sets GenAI v1 apart is its scalability and cost-effectiveness, significantly outperforming competitive solutions such as Intel Gaudi 2, Nvidia's cloud GPUs, and Google's cloud TPUs in terms of memory efficiency. This solution maximizes the number of tokens generated per unit of memory bandwidth, thus addressing one of the primary limitations in generative AI workflow. Furthermore, the adept memory usage of GenAI v1 reduces the dependency on costly memory types like HBM, opening the door to more affordable alternatives without diminishing processing capabilities. With a target-agnostic approach, RaiderChip ensures the GenAI v1 can be adapted to various FPGAs and ASICs, offering configuration flexibility that allows users to balance performance with hardware costs. Its compatibility with a wide range of transformers-based models, including proprietary modifications, ensures GenAI v1's robust placement across sectors requiring high-speed processing, like finance, medical diagnostics, and autonomous systems. RaiderChip's innovation with GenAI v1 focuses on supporting both vanilla and quantized AI models, ensuring high computation speeds necessary for real-time applications without compromising accuracy. This capability underpins their strategic vision of enabling versatile and sustainable AI solutions across industries. By prioritizing integration ease and operational independence, RaiderChip provides a tangible edge in applying generative AI effectively and widely.
Leveraging a high-performance RISC architecture, the eSi-3250 32-bit core efficiently integrates instruction and data caches. This makes it compatible with designs utilizing slower on-chip memories such as eFlash. The core not only supports MMU for address translation but also allows for user-defined custom instructions, greatly enhancing its flexibility for specialized and high-performance applications.
Jotunn8 represents VSORA's pioneering leap into the world of AI Inference technology, aimed at data centers that require high-speed, cost-efficient, and scalable systems. The Jotunn8 chip is engineered to deliver trained models with unparalleled speed, minimizing latency and optimizing power usage, thereby guaranteeing that high-demand applications such as recommendation systems or large language model APIs operate at optimal efficiency. The Jotunn8 is celebrated for its near-theoretical performance, specifically designed to meet the demands of real-time services like chatbots and fraud detection. With a focus on reducing costs per inference – a critical factor for operating at massive scale – the chip ensures business viability through its power-efficient architecture, which significantly trims operational expenses and reduces carbon footprints. Innovative in its approach, the Jotunn8 supports complex AI computing needs by integrating various AI models seamlessly. It provides the foundation for scalable AI, ensuring that infrastructure can keep pace with growing consumer and business demands, and represents a robust solution that prepares businesses for the future of AI-driven applications.
The AX45MP is engineered as a high-performance processor that supports multicore architecture and advanced data processing capabilities, particularly suitable for applications requiring extensive computational efficiency. Powered by the AndesCore processor line, it capitalizes on a multicore symmetric multiprocessing framework, integrating up to eight cores with robust L2 cache management. The AX45MP incorporates advanced features such as vector processing capabilities and support for MemBoost technology to maximize data throughput. It caters to high-demand applications including machine learning, digital signal processing, and complex algorithmic computations, ensuring data coherence and efficient power usage.
The A25 processor model is a versatile CPU suitable for a variety of embedded applications. With its 5-stage pipeline and 32/64-bit architecture, it delivers high performance even with a low gate count, which translates to efficiency in power-sensitive environments. The A25 is equipped with Andes Custom Extensions that enable tailored instruction sets for specific application accelerations. Supporting robust high-frequency operations, this model shines in its ability to manage data prefetching and cache coherence in multicore setups, making it adept at handling complex processing tasks within constrained spaces.
The RV12 RISC-V Processor from Roa Logic is a highly versatile CPU designed for embedded applications. It complies with the RV32I and RV64I specifications of the RISC-V instruction set, supporting single-core configurations. The RV12 processor is renowned for its configurability, allowing it to be tailored to specific application requirements. It implements a Harvard architecture, which enables concurrent access to both instruction and data memory, optimizing performance and efficiency. Roa Logic's RV12 processor is part of their broader portfolio of 32/64-bit CPU solutions that leverage the open-source RISC-V instruction set. This architecture is favored for its simplicity and scalability, making it ideal for various embedded systems. The processor is equipped with an optimizing feature set that enhances its processing capabilities, ensuring it meets the rigorous demands of modern applications. Incorporating the RV12 processor into projects is streamlined thanks to its comprehensive support documentation and available test benches. These resources facilitate smooth integration into larger systems, providing developers with a reliable foundation for building advanced embedded systems. Its design is a testament to Roa Logic's commitment to delivering high-performance, adaptable IP solutions to the semiconductor industry.
The Chimera GPNPU from Quadric stands as a versatile processing unit designed to accelerate machine learning models across a wide range of applications. Uniquely integrating the strengths of neural processing units and digital signal processors, the Chimera GPNPU simplifies heterogeneous workloads by running traditional C++ code and complex AI networks such as large language models and vision transformers in a unified processor architecture. This scalability, tailored from 1 to 864 TOPs, allows it to meet the diverse requirements of markets, including automotive and network edge computing.\n\nA key feature of the Chimera GPNPU is its ability to handle matrix and vector operations alongside scalar control code within a single pipeline. Its fully software-driven nature enables developers to fine-tune model performance over the processor's lifecycle, adapting to evolving AI techniques without needing hardware updates. The system's design minimizes off-chip memory access, thereby enhancing efficiency through its L2 memory management and compiler-driven optimizations.\n\nMoreover, the Chimera GPNPU provides an extensive instruction set, finely tuned for AI inference tasks with intelligent memory management, reducing power consumption and maximizing processing efficiency. Its ability to maintain high performance with deterministic execution across various processes underlines its standing as a leading choice for AI-focused chip design.
The NMP-350 is a cutting-edge endpoint accelerator designed to optimize power usage and reduce costs. It is ideal for markets like automotive, AIoT/sensors, and smart appliances. Its applications span from driver authentication and predictive maintenance to health monitoring. With a capacity of up to 1 TOPS and 1 MB of local memory, it incorporates a RISC-V/Arm Cortex-M 32-bit CPU and supports three AXI4 interfaces. This makes the NMP-350 a versatile component for various industrial applications, ensuring efficient performance and integration. Developed as a low-power solution, the NMP-350 is pivotal for applications requiring efficient processing power without inflating energy consumption. It is crucial for mobile and battery-operated devices where every watt conserved adds to the operational longevity of the product. This product aligns with modern demands for eco-friendly and cost-effective technologies, supporting enhanced performance in compact electronic devices. Technical specifications further define its role in the industry, exemplifying how it brings robust and scalable solutions to its users. Its adaptability across different applications, coupled with its cost-efficiency, makes it an indispensable tool for developers working on next-gen AI solutions. The NMP-350 is instrumental for developers looking to seamlessly incorporate AI capabilities into their designs without compromising on economy or efficiency.
The KL630 chip stands out with its pioneering NPU architecture, making it the industry's first to support Int4 precision alongside transformer networks. This unique capability enables it to achieve exceptional computational efficiency and low energy consumption, suitable for a wide variety of applications. The chip incorporates an ARM Cortex A5 CPU, providing robust support for all major AI frameworks and delivering superior ISP capabilities for handling low light conditions and HDR applications, making it ideal for security, automotive, and smart city uses.
The KL520 was Kneron's first foray into AI SoCs, characterized by its small size and energy efficiency. This chip integrates a dual ARM Cortex M4 CPU architecture, which can function both as a host processor and as a supportive AI co-processor for diverse edge devices. Ideal for smart devices such as door locks and cameras, it is compatible with various 3D sensor technologies, offering a balance of compact design and high performance. As a result, this SoC has been adopted by multiple products in the smart home and security sectors.
The SAKURA-II AI Accelerator by EdgeCortix provides a cutting-edge solution for efficient AI processing at the edge. Engineered for optimum energy efficiency, it supports real-time Batch=1 AI inferencing and manages extensive parameter models effectively, making it ideal for complex Generative AI applications. The core of SAKURA-II, the Dynamic Neural Accelerator (DNA), is reconfigurable at runtime, which allows for simultaneous execution of multiple neural network models while maintaining high performance metrics. With its advanced neural architecture, SAKURA-II meets the challenging requirements of edge AI applications like image, text, and audio processing. This AI accelerator is distinguished by its ability to support large AI models within a low power envelope, typically operating at around 8 watts, and accommodates vast arrays of inputs such as Llama 2 and Stable Diffusion. SAKURA-II modules are crafted for speedy integration into various systems, offering up to 60 TOPS of performance for INT8 operations. Additionally, its robust design allows handling of high-bandwidth memory scenarios, delivering up to 68 GB/sec of DRAM bandwidth, ensuring superior performance for large language models (LLMs) and vision applications across multiple industries. As a key component of EdgeCortix's edge AI solution platform, the SAKURA-II excels not only in computational efficiency but also in adaptability across various hardware systems like Raspberry Pi. The accelerator system includes options for both small form factor modules and PCIe cards, granting flexibility for different application needs and allowing easy deployment in space-constrained or resource-sensitive environments, thus maximizing the utility of existing infrastructures for AI tasks.
The eSi-1600 is a 16-bit CPU core designed for cost-sensitive and power-efficient applications. It accords performance levels similar to that of 32-bit CPUs while maintaining a system cost comparable to 8-bit processors. This IP is particularly well-suited for control applications needing limited memory resources, demonstrating excellent compatibility with mature mixed-signal technologies.
The SCR9 Processor Core represents the height of processor sophistication with a 12-stage dual-issue out-of-order pipeline complemented by a vector processing unit (VPU). This 64-bit, 16-core configuration supports hypervisor capabilities, making it a powerhouse for enterprise and high-performance applications. Designed to meet the rigorous demands of AI, ML, and computational-heavy environments, the SCR9 core delivers exceptional data throughput and processing power. Its comprehensive architecture includes robust memory and cache management, ensuring efficiency and speed in processing. This application-class core is supported by an extensive ecosystem of development tools and platforms, ensuring that developers can exploit its full potential for innovative solutions. With its focus on high efficiency and advanced capabilities, the SCR9 core is a definitive choice in fields demanding top-tier processing power.
The NMP-550 is tailored for enhanced performance efficiency, serving sectors like automotive, mobile, AR/VR, drones, and robotics. It supports applications such as driver monitoring, image/video analytics, and security surveillance. With a capacity of up to 6 TOPS and 6 MB local memory, this accelerator leverages either a RISC-V or Arm Cortex-M/A 32-bit CPU. Its three AXI4 interface support ensures robust interconnections and data flow. This performance boost makes the NMP-550 exceptionally suited for devices requiring high-frequency AI computations. Typical use cases include industrial surveillance and smart robotics, where precise and fast data analysis is critical. The NMP-550 offers a blend of high computational power and energy efficiency, facilitating complex AI tasks like video super-resolution and fleet management. Its architecture supports modern digital ecosystems, paving the way for new digital experiences through reliable and efficient data processing capabilities. By addressing the needs of modern AI workloads, the NMP-550 stands as a significant upgrade for those needing robust processing power in compact form factors.
The Y180 is a CPU-focused IP core that efficiently replicates the functionality of the Zilog Z180 CPU, comprising around 8k gates. This implementation showcases Systemyde’s commitment to detail, ensuring a consistent and reliable performance within a minimized footprint. With a core dedicated to sustaining traditional CPU operations, the Y180 is notably small yet potent, suiting designs requiring streamlined CPU cores. It remains resilient in environments that demand traditional computing interfaces, providing a dependable platform for basic process tasks. Its silicon-proven design attests to its dependability and functionality across various implementations. As a go-to standard, the Y180 supports standard CPU applications seamlessly, acting as an accessible solution for Zilog’s architectural compatibility.
AndesCore Processors offer a robust lineup of high-performance CPUs tailored for diverse market segments. Employing the AndeStar V5 instruction set architecture, these cores uniformly support the RISC-V technology. The processor family is classified into different series, including the Compact, 25-Series, 27-Series, 40-Series, and 60-Series, each featuring unique architectural advances. For instance, the Compact Series specializes in delivering compact, power-efficient processing, while the 60-Series is optimized for high-performance out-of-order execution. Additionally, AndesCore processors extend customization through Andes Custom Extension, which allows users to define specific instructions to accelerate application-specific tasks, offering a significant edge in design flexibility and processing efficiency.
The eSi-3200, a 32-bit cacheless core, is tailored for embedded control with its expansive and configurable instruction set. Its capabilities, such as 64-bit multiply-accumulate operations and fixed-point complex multiplications, cater effectively to signal processing tasks like FFTs and FIRs. Additionally, it supports SIMD and single-precision floating point operations, coupled with efficient power management features, enhancing its utility for diverse embedded applications.
The Hanguang 800 AI Accelerator is engineered to propel artificial intelligence tasks to new heights with its cutting-edge architecture. This accelerator enhances machine learning tasks by speeding up neural network processing, making it a key player in the burgeoning AI sector. Its innovative design is optimized for low latency and high throughput, facilitating real-time AI application performance and enabling advanced machine learning model implementations. Harnessing an extensive array of computing cores, the Hanguang 800 ensures parallel processing capabilities that significantly reduce training times for large-scale AI models. Its application scope covers diverse sectors, including autonomous driving, smart city infrastructure, and intelligent robotics, underscoring its versatility and adaptability. Built with energy efficiency in mind, this AI accelerator prioritizes minimal power consumption, making it ideal for data centers looking to maximize computational power without overextending their energy footprint. By integrating seamlessly with existing frameworks, the Hanguang 800 offers a ready-to-deploy solution for enterprises seeking to enhance their AI-driven services and operations.
The KL530 is built with an advanced heterogeneous AI chip architecture, designed to enhance computing efficiency while reducing power usage. Notably, it is recognized as the first in the market to support INT4 precision and transformers for commercial applications. The chip, featuring a low-power ARM Cortex M4 CPU, delivers impressive performance with 1 TOPS@INT 4 computing power, providing up to 70% higher processing efficiency compared to INT8 architectures. Its integrated smart ISP optimizes image quality, supporting AI models like CNN and RNN, suitable for IoT and AIoT ecosystems.
aiWare represents a high-performance neural processing solution aimed at driving efficiency in AI-powered automotive applications. At its core, aiWare is designed to deliver robust inference capabilities necessary for complex neural network operations within the automotive domain. This IP features scalable performance fitting a broad spectrum of use-cases, from sensor-edge processors to high-performance centralized models, alongside substantial variances such as L2 to L4 automated driving applications. The aiWare NPU offers unrivaled efficiency and deterministic flexibility, having achieved ISO 26262 ASIL B certification, which accentuates its safety and reliability for automotive environments. It supports a multitude of advanced neural architectures, including CNNs and RNNs, empowering developers to effectively deploy AI models within constrained automotive ecosystems. AI pollution-free data pathways ensure high throughput with minimum energy consumption, aligning with automotive standards for efficiency and operational dependability. Accompanied by aiWare Studio SDK, aiWare simplifies the development process by offering an offline performance estimator that accurately predicts system performance. This tool, celebrated by OEMs globally, allows developers to refine neural networks with minimal hardware requirements, significantly abbreviating time-to-market while preserving high-performance standards. The aiWare's architecture focuses on enhancing efficiency, ensuring robust performance for applications spanning multi-modality sensing and complex data analytics.
The RISC-V Core-hub Generators from InCore are tailored for developers who need advanced control over their core architectures. This innovative tool enables users to configure core-hubs precisely at the instruction set and microarchitecture levels, allowing for optimized design and functionality. The platform supports diverse industry applications by facilitating the seamless creation of scalable and customizable RISC-V cores. With the RISC-V Core-hub Generators, InCore empowers users to craft their own processor solutions from the ground up. This flexibility is pivotal for businesses looking to capitalize on the burgeoning RISC-V ecosystem, providing a pathway to innovation with reduced risk and cost. Incorporating feedback from leading industry partners, these generators are designed to lower verification costs while accelerating time-to-market for new designs. Users benefit from InCore's robust support infrastructure and a commitment to simplifying complex chip design processes. This product is particularly beneficial for organizations aiming to integrate RISC-V technology efficiently into their existing systems, ensuring compatibility and enhancing functionality through intelligent automation and state-of-the-art tools.
The SiFive Intelligence X280 delivers best-in-class vector processing capabilities powered by the RISC-V architecture, specifically targeting AI and ML applications. This core is designed to cater to advanced AI workloads, equipped with extensive compute capabilities that include wide vector processing units and scalable matrix computation. With its distinctive software-centric design, the X280 facilitates easy integration and offers adaptability to complex AI and ML processes. Its architecture is built to handle modern computational demands with high efficiency, thanks to its robust bandwidth and scalable execution units that accommodate evolving machine learning algorithms. Ideal for edge applications, the X280 supports sophisticated AI operations, resulting in fast and energy-efficient processing. The design flexibility ensures that the core can be optimized for a wide range of applications, promising unmatched performance scalability and intelligence in edge computing environments.
This core is a remarkably energy-efficient processor designed by Micro Magic, Inc., offering a powerful solution for modern computing needs. Operating at 1GHz and consuming a mere 10mW of power, it leverages low voltage operation to achieve high-speed performance ideal for embedded and portable applications. The RISC-V core integrates design techniques that allow it to function efficiently across a range of voltages while maintaining superior performance levels often demanded by today's technology. This blend of power efficiency and performance makes it a prime candidate for application in cutting-edge consumer electronics and IoT devices where battery life and processing speed are critical. This core's architecture suits a wide variety of implementations, providing flexibility to developers aiming to create custom solutions tailored to specific market requirements. By enabling engineers to reduce power consumption without compromising on speed, the 64-bit RISC-V core demonstrates Micro Magic's commitment to pushing the boundaries of semiconductor technology.
The SiFive Essential line features a versatile range of embedded CPU cores that serve a wide variety of markets, from consumer electronics to industrial computing. With an emphasis on configurability, these cores can be tailored to meet specific operational requirements, providing a foundation for custom applications tailored to precise needs. Offering a scaffold for both 32-bit MCUs and 64-bit CPUs, the Essential series supports various pipeline configurations to maximize throughput and optimize power usage. Its design inherently enables scalable performance, making it suitable for applications requiring performance optimization and advanced customization. These cores uphold SiFive’s tradition of high-quality innovation, delivering a robust, silicon-proven solution with billions of units already shipped globally. Ideal for diverse application scenarios, the Essential series provides a reliable, cost-effective foundation for a multitude of embedded processing projects.
The SCR1 Microcontroller Core is a compact, open-source processor designed for deeply embedded applications. It features a 4-stage in-order pipeline, making it highly efficient and suitable for scenarios demanding minimal area footprint and energy consumption. Ideal for IoT devices and sensor-centric systems, it balances performance with power efficiency in a 32-bit architecture. This core is optimized for real-time operating systems and integrates seamlessly into complex digital systems. With its small gate count and energy-conscious design, the SCR1 core excels in environments where low power and high reliability are paramount. Its configurability allows for tailored implementations that can meet diverse application requirements. Designed in SystemVerilog, it is supported by a comprehensive development toolkit and FPGA-based SDK, ensuring developers have all the necessary tools for efficient deployment and testing.
As a pinnacle of high-performance Linux-capable processor cores, the SCR7 Application Core incorporates a 12-stage dual-issue out-of-order pipeline for enhanced execution efficiency. This core is engineered for applications that require robust data handling and processing, with support for cache coherency and virtual memory management. The SCR7 core caters to advanced markets such as AI, ML, and data centers, benefiting from its scalability in 64-bit 8-core configurations. This formidable architecture is designed to handle complex computational loads, especially where rapid real-time data processing is vital. With a complete software development toolkit, this core empowers developers to integrate and optimize seamlessly into their systems, facilitating innovation and delivering top-tier performance in demanding application landscapes.
The C100 is a highly integrated SoC designed for IoT applications, boasting efficient control and connectivity features. It is powered by an enhanced 32-bit RISC-V CPU running at up to 1.5GHz, making it capable of tackling demanding processing tasks while maintaining low power consumption. The inclusion of embedded RAM and ROM further enriches its computational prowess and operational efficiency. Equipped with integrated Wi-Fi, the C100 facilitates seamless wireless communication, making it ideal for varied IoT applications. It supports multiple types of transmission interfaces and features key components such as an ADC and LDO, enhancing its versatility. The C100 also offers built-in temperature sensors, providing higher integration levels for simplified product designs across security systems, smart homes, toys, healthcare, and more. Aiming to offer a compact form factor without compromising on performance, the C100 is engineered to help developers rapidly prototype and bring to market devices that are safe, stable, and efficient. Whether for audio, video, or edge computing tasks, this single-chip solution embodies the essence of Chipchain's commitment to pioneering in the IoT domain.
The RISC-V CPU IP N Class from Nuclei is engineered to cover a broad range of applications in the 32-bit architecture spectrum. This IP is designed with an emphasis on microcontroller functionalities, making it ideal for AIoT solutions. Tailored for flexibility, it supports numerous customization options, including integrated security features and functional safety assurance, which underscore its adaptability in diverse IoT deployments. Notably, the N Class configuration supports a wide array of tools and resources within the RISC-V ecosystem to streamline the development process and enhance performance optimization. At its core, the N Class IP is built to comply with the RISC-V open standard, ensuring compatibility and ease of integration with existing systems. Its robust configurability allows developers to select specific features pertinent to their application requirements, thereby optimizing resource allocation and efficiency. Featuring a three-stage pipeline architecture, the N Class delivers single and dual issue capabilities, which are crucial for achieving a balance between processing power and energy efficiency. Furthermore, the N Class IP stands out for its exceptional scalability. It accommodates user-defined instruction extensions, as well as the RISC-V B/K/P/V extensions, which together facilitate the execution of sophisticated tasks and enhance the overall versatility of the processor. This configurability and support for comprehensive information security solutions make it a vital component in securing IoT applications.
The GenAI v1-Q from RaiderChip brings forth a specialized focus on quantized AI operations, reducing memory requirements significantly while maintaining impressive precision and speed. This innovative accelerator is engineered to execute large language models in real-time, utilizing advanced quantization techniques such as Q4_K and Q5_K, thereby enhancing AI inference efficiency especially in memory-constrained environments. By offering a 276% boost in processing speed alongside a 75% reduction in memory footprint, GenAI v1-Q empowers developers to integrate advanced AI capabilities into smaller, less powerful devices without sacrificing operational quality. This makes it particularly advantageous for applications demanding swift response times and low latency, including real-time translation, autonomous navigation, and responsive customer interactions. The GenAI v1-Q diverges from conventional AI solutions by functioning independently, free from external network or cloud auxiliaries. Its design harmonizes superior computational performance with scalability, allowing seamless adaptation across variegated hardware platforms including FPGAs and ASIC implementations. This flexibility is crucial for tailoring performance parameters like model scale, inference velocity, and power consumption to meet exacting user specifications effectively. RaiderChip's GenAI v1-Q addresses crucial AI industry needs with its ability to manage multiple transformer-based models and confidential data securely on-premises. This opens doors for its application in sensitive areas such as defense, healthcare, and financial services, where confidentiality and rapid processing are paramount. With GenAI v1-Q, RaiderChip underscores its commitment to advancing AI solutions that are both environmentally sustainable and economically viable.
Topaz FPGAs are engineered to be a go-to solution for industries requiring a swift scale-up to volume production without compromising on performance or efficiency. Centered around an efficient architectural framework, these FPGAs deliver the power and functionality needed to address mainstream applications. They are renowned for their innovative fabric, which optimizes both die area and performance metrics. As such, Topaz FPGAs are indispensable for projects ranging from consumer electronics to automotive solutions, ensuring adaptability and scalability along evolving technological paths. Furthermore, with their seamless system integration capability, these FPGAs significantly shorten the development cycle, facilitating a faster go-to-market strategy while maintaining the high standards Efinix is known for.
The Azurite Core-hub by InCore Semiconductors is a sophisticated solution designed to offer scalable RISC-V SoCs with high-speed secure interconnect capabilities. This processor is tailored for performance-demanding applications, ensuring that systems maintain robust security while executing tasks at high speeds. Azurite leverages advanced interconnect technologies to enhance the communication between components within a SoC, making it ideal for industries that require rapid data transfer and high processing capabilities. The core is engineered to be scalable, supporting a wide range of applications from edge AI to functional safety systems, adapting seamlessly to various industry needs. Engineered with a focus on security, the Azurite Core-hub incorporates features that protect data integrity and system operation in a dynamic technological landscape. This makes it a reliable choice for companies seeking to integrate advanced RISC-V architectures into their security-focused applications, offering not just innovation but also peace of mind with its secure design.
NeuroMosAIc Studio is a comprehensive software platform designed to maximize AI processor utilization through intuitive model conversion, mapping, simulation, and profiling. This advanced software suite supports Edge AI models by optimizing them for specific application needs. It offers precision analysis, network compression, and quantization tools to streamline the process of deploying AI models across diverse hardware setups. The platform is notably adept at integrating multiple AI functions and facilitating edge training processes. With tools like the NMP Compiler and Simulator, it allows developers to optimize functions at different stages, from quantization to training. The Studio's versatility is crucial for developers seeking to enhance AI solutions through customized model adjustments and optimization, ensuring high performance across AI systems. NeuroMosAIc Studio is particularly valuable for its edge training support and comprehensive optimization capabilities, paving the way for efficient AI deployment in various sectors. It offers a robust toolkit for AI model developers aiming to extract the maximum performance from hardware in dynamic environments.
The Veyron V1 is a high-performance RISC-V CPU aimed at data centers and similar applications that require robust computing power. It integrates with various chiplet and IP cores, making it a versatile choice for companies looking to create customized solutions. The Veyron V1 is designed to offer competitive performance against x86 and ARM counterparts, providing a seamless transition between different node process technologies. This CPU benefits from Ventana's innovation in RISC-V technology, where efforts are placed on providing an extensible architecture that facilitates domain-specific acceleration. With capabilities stretching from hyperscale computing to edge applications, the Veyron V1 supports extensive instruction sets for high-throughput operations. It also boasts leading-edge chiplet interfaces, opening up numerous opportunities for rapid productization and cost-effective deployment. Ventana's emphasis on open standards ensures that the Veyron V1 remains an adaptable choice for businesses aiming at bespoke solutions. Its compatibility with system IP and its provision in multiple platform formats—including chiplets—enable businesses to leverage the latest technological advancements in RISC-V. Additionally, the ecosystem surrounding the Veyron series ensures support for both modern software frameworks and cross-platform integration.
The Codasip RISC-V BK Core Series represents a family of processor cores that bring advanced customization to the forefront of embedded designs. These cores are optimized for power and performance, striking a fine balance that suits an array of applications, from sensor controllers in IoT devices to sophisticated automotive systems. Their modular design allows developers to tailor instructions and performance levels directly to their needs, providing a flexible platform that enhances both existing and new applications. Featuring high degrees of configurability, the BK Core Series facilitates designers in achieving superior performance and efficiency. By supporting a broad spectrum of operating requirements, including low-power and high-performance scenarios, these cores stand out in the processor IP marketplace. The series is verified through industry-leading practices, ensuring robust and reliable operation in various application environments. Codasip has made it straightforward to use and adapt the BK Core Series, with an emphasis on simplicity and productivity in customizing processor architecture. This ease of use allows for swift validation and deployment, enabling quicker time to market and reducing costs associated with custom hardware design.
The eSi-3264 stands out with its support for both 32/64-bit operations, including 64-bit fixed and floating-point SIMD (Single Instruction Multiple Data) DSP extensions. Engineered for applications mandating DSP functionality, it does so with minimal silicon footprint. Its comprehensive instruction set includes specialized commands for various tasks, bolstering its practicality across multiple sectors.
The General Purpose Accelerator (Aptos) from Ascenium stands out as a redefining force in the realm of CPU technology. It seeks to overcome the limitations of traditional CPUs by providing a solution that tackles both performance inefficiencies and high energy demands. Leveraging compiler-driven architecture, this accelerator introduces a novel approach by simplifying CPU operations, making it exceptionally suited for handling generic code. Notably, it offers compatibility with the LLVM compiler, ensuring a wide range of applications can be adapted seamlessly without rewrites. The Aptos excels in performance by embracing a highly parallel yet simplified CPU framework that significantly boosts efficiency, reportedly achieving up to four times the performance of cutting-edge CPUs. Such advancements cater not only to performance-oriented tasks but also substantially mitigate energy consumption, providing a dual benefit of cost efficiency and reduced environmental impact. This makes Aptos a valuable asset for data centers seeking to optimize their energy footprint while enhancing computational capabilities. Additionally, the Aptos architecture supports efficient code execution by resolving tasks predominantly at compile-time, allowing the processor to handle workloads more effectively. This allows standard high-level language software to run with improved efficiency across diverse computing environments, aligning with an overarching goal of greener computing. By maximizing operational efficiency and reducing carbon emissions, Aptos propels Ascenium into a leading position in the sustainable and high-performance computing sector.
The SCR3 Microcontroller Core offers a medium-performance solution for embedded applications, featuring a 5-stage in-order pipeline. It supports both 32-bit and 64-bit configurations, providing a versatile platform for various use cases in industrial and automotive systems. Equipped with privilege modes and a memory protection unit (MPU), the SCR3 core emphasizes security and stability, ensuring robust performance in safety-critical environments. Additionally, its L1 and L2 cache support enhances processing speed and data efficiency. Tailored for real-time tasks, this core integrates capabilities that support complex control systems and network devices. Its architecture and toolchain are specifically designed to enable developers to quickly innovate and meet stringent application demands.
The RISC-V Hardware-Assisted Verification by Bluespec is designed to expedite the verification process for RISC-V cores. This platform supports both ISA and system-level testing, adding robust features such as verifying standard and custom ISA extensions along with accelerators. Moreover, it offers scalable access through the AWS cloud, making verification available anytime and anywhere. This tool aligns with the needs of modern developers, ensuring thorough testing within a flexible and accessible framework.
The KL720 is engineered for high efficiency, achieving up to 0.9 TOPS per Watt, setting it apart in the edge AI marketplace. Designed for real-world scenarios where power efficiency is paramount, this chip supports high-end IP cameras, smart TVs, and AI-enabled devices like glasses and headsets. Its ARM Cortex M4 CPU facilitates the processing of complex tasks like 4K image handling, full HD video, and 3D sensing, making it versatile for applications that include gaming and AI-assisted interactions.
The RAIV General Purpose GPU (GPGPU) epitomizes versatility and cutting-edge technology in the realm of data processing and graphics acceleration. It serves as a crucial technology enabler for various prominent sectors that are central to the fourth industrial revolution, such as autonomous driving, IoT, virtual reality/augmented reality (VR/AR), and sophisticated data centers. By leveraging the RAIV GPGPU, industries are able to process vast amounts of data more efficiently, which is paramount for their growth and competitive edge. Characterized by its advanced architectural design, the RAIV GPU excels in managing substantial computational loads, which is essential for AI-driven processes and complex data analytics. Its adaptability makes it suitable for a wide array of applications, from enhancing automotive AI systems to empowering VR environments with seamless real-time interaction. Through optimized data handling and acceleration, the RAIV GPGPU assists in realizing smoother and more responsive application workflows. The strategic design of the RAIV GPGPU focuses on enabling integrative solutions that enhance performance without compromising on power efficiency. Its functionality is built to meet the high demands of today’s tech ecosystems, fostering advancements in computational efficiency and intelligent processing capabilities. As such, the RAIV stands out not only as a tool for improved graphical experiences but also as a significant component in driving innovation within tech-centric industries worldwide. Its pioneering architecture thus supports a multitude of applications, ensuring it remains a versatile and indispensable asset in diverse technological landscapes.
The eSi-1650 is a compact, low-power 16-bit CPU core integrating an instruction cache, making it an ideal choice for mature process nodes reliant on OTP or Flash program memory. By omitting large on-chip RAMs, the IP core optimizes power and area efficiency and permits the CPU to capitalize on its maximum operational frequency beyond OTP/Flash constraints.
The SCR6 Microcontroller Core stands out with its 12-stage dual-issue out-of-order pipeline, strategically designed for high-performance microcontroller applications. This 64-bit core supports a high-performance floating-point unit, which is key for computations in complex embedded systems and applications demanding precision. Optimized for real-time operating systems, the SCR6 offers advanced processing capabilities required by new-age industrial, IoT, and automotive applications. Its out-of-order execution pipeline ensures maximum efficiency, reducing latency while maintaining low power consumption. The development ecosystem supporting SCR6 includes a comprehensive toolkit and documentation, facilitating rapid design and deployment efforts, empowering developers to meet and exceed performance demands effectively.
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