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.
The KL730 is a third-generation AI chip that integrates advanced reconfigurable NPU architecture, delivering up to 8 TOPS of computing power. This cutting-edge technology enhances computational efficiency across a range of applications, including CNN and transformer networks, while minimizing DDR bandwidth requirements. The KL730 also boasts enhanced video processing capabilities, supporting 4K 60FPS outputs. With expertise spanning over a decade in ISP technology, the KL730 stands out with its noise reduction, wide dynamic range, fisheye correction, and low-light imaging performance. It caters to markets like intelligent security, autonomous vehicles, video conferencing, and industrial camera systems, among others.
The Akida 2nd Generation represents a leap forward in the realm of AI processing, enhancing upon its predecessor with greater flexibility and improved efficiency. This advanced neural processor core is tailored for modern applications demanding real-time response and ultra-low power consumption, making it ideal for compact and battery-operated devices. Akida 2nd Generation supports various programming configurations, including 8-, 4-, and 1-bit weights and activations, thus providing developers with the versatility to optimize performance versus power consumption to meet specific application needs. Its architecture is fully digital and silicon-proven, ensuring reliable deployment across diverse hardware setups. With features such as programmable activation functions and support for sophisticated neural network models, Akida 2nd Generation enables a broad spectrum of AI tasks. From object detection in cameras to sophisticated audio sensing, this iteration of the Akida processor is built to handle the most demanding edge applications while sustaining BrainChip's hallmark efficiency in processing power per watt.
Addressing the need for high-performance AI processing, the Metis AIPU PCIe AI Accelerator Card from Axelera AI offers an outstanding blend of speed, efficiency, and power. Designed to boost AI workloads significantly, this PCIe card leverages the prowess of the Metis AI Processing Unit (AIPU) to deliver unparalleled AI inference capabilities for enterprise and industrial applications. The card excels in handling complex AI models and large-scale data processing tasks, significantly enhancing the efficiency of computational tasks within various edge settings. The Metis AIPU embedded within the PCIe card delivers high TOPs (Tera Operations Per Second), allowing it to execute multiple AI tasks concurrently with remarkable speed and precision. This makes it exceptionally suitable for applications such as video analytics, autonomous driving simulations, and real-time data processing in industrial environments. The card's robust architecture reduces the load on general-purpose processors by offloading AI tasks, resulting in optimized system performance and lower energy consumption. With easy integration capabilities supported by the state-of-the-art Voyager SDK, the Metis AIPU PCIe AI Accelerator Card ensures seamless deployment of AI models across various platforms. The SDK facilitates efficient model optimization and tuning, supporting a wide range of neural network models and enhancing overall system capabilities. Enterprises leveraging this card can see significant improvements in their AI processing efficiency, leading to faster, smarter, and more efficient operations across different sectors.
The Akida IP is an advanced processor core designed to mimic the efficient processing characteristics of the human brain. Inspired by neuromorphic engineering principles, it delivers real-time AI performance while maintaining a low power profile. The architecture of the Akida IP is sophisticated, allowing seamless integration into existing systems without the need for continuous external computation. Equipped with capabilities for processing vision, audio, and sensor data, the Akida IP stands out by being able to handle complex AI tasks directly on the device. This is done by utilizing a flexible mesh of nodes that efficiently distribute cognitive computing tasks, enabling a scalable approach to machine learning applications. Each node supports hundreds of MAC operations and can be configured to adapt to various computational requirements, making it a versatile choice for AI-centric endeavors. Moreover, the Akida IP is particularly beneficial for edge applications where low latency, high efficiency, and security are paramount. With capabilities for event-based processing and on-chip learning, it enhances response times and reduces data transfer needs, thereby bolstering device autonomy. This solidifies its position as a leading solution for embedding AI into devices across multiple industries.
The Yitian 710 Processor is a landmark server chip released by T-Head Semiconductor, representing a breakthrough in high-performance computing. This chip is designed with cutting-edge architecture that utilizes advanced Armv9 structure, accommodating a range of demanding applications. Engineered by T-Head's dedicated research team, Yitian 710 integrates high efficiency and bandwidth properties into a unique 2.5D package, housing two dies and a staggering 60 billion transistors. The Yitian 710 encompasses 128 Armv9 high-performance cores, each equipped with 64KB L1 instruction cache, 64KB L1 data cache, and 1MB L2 cache, further amplified by a collective on-chip system cache of 128MB. These configurations enable optimal data processing and retrieval speeds, making it suitable for data-intensive tasks. Furthermore, the memory subsystem stands out with its 8-channel DDR5 support, reaching peak bandwidths of 281GB/s. In terms of connectivity, the Yitian 710's I/O system includes 96 PCIe 5.0 channels with a bidirectional theoretical total bandwidth of 768GB/s, streamlining high-speed data transfer critical for server operations. Its architecture is not only poised to meet the current demands of data centers and cloud services but also adaptable for future advancements in AI inference and multimedia processing tasks.
The Veyron V2 CPU represents Ventana's second-generation RISC-V high-performance processor, designed for cloud, data center, edge, and automotive applications. This processor offers outstanding compute capabilities with its server-class architecture, optimized for handling complex, virtualized, and cloud-native workloads efficiently. The Veyron V2 is available as both IP for custom SoCs and as a complete silicon platform, ensuring flexibility for integration into various technological infrastructures. Emphasizing a modern architectural design, it includes full compliance with RISC-V RVA23 specifications, showcasing features like high Instruction Per Clock (IPC) and power-efficient architectures. Comprising of multiple core clusters, this CPU is capable of delivering superior AI and machine learning performance, significantly boosting throughput and energy efficiency. The Veyron V2's advanced fabric interconnects and extensive cache architecture provide the necessary infrastructure for high-performance applications, ensuring broad market adoption and versatile deployment options.
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.
Chimera GPNPU is engineered to revolutionize AI/ML computational capabilities on single-core architectures. It efficiently handles matrix, vector, and scalar code, unifying AI inference and traditional C++ processing under one roof. By alleviating the need for partitioning AI workloads between different processors, it streamlines software development and drastically speeds up AI model adaptation and integration. Ideal for SoC designs, the Chimera GPNPU champions an architecture that is both versatile and powerful, handling complex parallel workloads with a single unified binary. This configuration not only boosts software developer productivity but also ensures an enduring flexibility capable of accommodating novel AI model architectures on the horizon. The architectural fabric of the Chimera GPNPU seamlessly blends the high matrix performance of NPUs with C++ programmability found in traditional processors. This core is delivered in a synthesizable RTL form, with scalability options ranging from a single-core to multi-cluster designs to meet various performance benchmarks. As a testament to its adaptability, the Chimera GPNPU can run any AI/ML graph from numerous high-demand application areas such as automotive, mobile, and home digital appliances. Developers seeking optimization in inference performance will find the Chimera GPNPU a pivotal tool in maintaining cutting-edge product offerings. With its focus on simplifying hardware design, optimizing power consumption, and enhancing programmer ease, this processor ensures a sustainable and efficient path for future AI/ML developments.
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.
aiWare is a high-performance NPU designed to meet the rigorous demands of automotive AI inference, providing a scalable solution for ADAS and AD applications. This hardware IP core is engineered to handle a wide array of AI workloads, including the most advanced neural network structures like CNNs, LSTMs, and RNNs. By integrating cutting-edge efficiency and scalability, aiWare delivers industry-leading neural processing power tailored to automobile-grade specifications.\n\nThe NPU's architecture emphasizes hardware determinism and offers ISO 26262 ASIL-B certification, ensuring that aiWare meets stringent automotive safety standards. Its efficient design also supports up to 256 effective TOPS per core, and can scale to handle thousands of TOPS through multicore integration, minimizing power consumption effectively. The aiWare's system-level optimizations reduce reliance on external memory by leveraging local memory for data management, boosting performance efficiency across varied input data sizes and complexities.\n\naiWare’s development toolkit, aiWare Studio, is distinguished by its innovative ability to optimize neural network execution without the need for manual intervention by software engineers. This empowers ai engineers to focus on refining NNs for production, significantly accelerating iteration cycles. Coupled with aiMotive's aiDrive software suite, aiWare provides an integrated environment for creating highly efficient automotive AI applications, ensuring seamless integration and rapid deployment across multiple vehicle platforms.
SAKURA-II AI Accelerator represents EdgeCortix's latest advancement in edge AI processing, offering unparalleled energy efficiency and extensive capabilities for generative AI tasks. This accelerator is designed to manage demanding AI models, including Llama 2, Stable Diffusion, DETR, and ViT, within a slim power envelope of about 8W. With capabilities extending to multi-billion parameter models, SAKURA-II meets a wide range of edge applications in vision, language, and audio. The SAKURA-II's architecture maximizes AI compute efficiency, delivering more than twice the utilization of competitive solutions. It boasts remarkable DRAM bandwidth, essential for large language and vision models, while maintaining low power consumption. The hardware supports real-time Batch=1 processing, demonstrating its edge in performance even in constrained environments, making it a choice solution for diverse industrial AI applications. With 60 TOPS (INT8) and 30 TFLOPS (BF16) in performance metrics, this accelerator is built to exceed expectations in demanding conditions. It features robust memory configurations supporting up to 32GB of DRAM, ideal for processing intricate AI workloads. By leveraging sparse computing techniques, SAKURA-II optimizes its memory and bandwidth usage effectively, ensuring reliable performance across all deployed applications.
xcore.ai is XMOS Semiconductor's innovative programmable chip designed for advanced AI, DSP, and I/O applications. It enables developers to create highly efficient systems without the complexity typical of multi-chip solutions, offering capabilities that integrate AI inference, DSP tasks, and I/O control seamlessly. The chip architecture boasts parallel processing and ultra-low latency, making it ideal for demanding tasks in robotics, automotive systems, and smart consumer devices. It provides the toolset to deploy complex algorithms efficiently while maintaining robust real-time performance. With xcore.ai, system designers can leverage a flexible platform that supports the rapid prototyping and development of intelligent applications. Its performance allows for seamless execution of tasks such as voice recognition and processing, industrial automation, and sensor data integration. The adaptable nature of xcore.ai makes it a versatile solution for managing various inputs and outputs simultaneously, while maintaining high levels of precision and reliability. In automotive and industrial applications, xcore.ai supports real-time control and monitoring tasks, contributing to smarter, safer systems. For consumer electronics, it enhances user experience by enabling responsive voice interfaces and high-definition audio processing. The chip's architecture reduces the need for exterior components, thus simplifying design and reducing overall costs, paving the way for innovative solutions where technology meets efficiency and scalability.
The Metis AIPU M.2 Accelerator Module by Axelera AI is a compact and powerful solution designed for AI inference at the edge. This module delivers remarkable performance, comparable to that of a PCIe card, all while fitting into the streamlined M.2 form factor. Ideal for demanding AI applications that require substantial computational power, the module enhances processing efficiency while minimizing power usage. With its robust infrastructure, it is geared toward integrating into applications that demand high throughput and low latency, making it a perfect fit for intelligent vision applications and real-time analytics. The AIPU, or Artificial Intelligence Processing Unit, at the core of this module provides industry-leading performance by offloading AI workloads from traditional CPU or GPU setups, allowing for dedicated AI computation that is faster and more energy-efficient. This not only boosts the capabilities of the host systems but also drastically reduces the overall energy consumption. The module supports a wide range of AI applications, from facial recognition and security systems to advanced industrial automation processes. By utilizing Axelera AI’s innovative software solutions, such as the Voyager SDK, the Metis AIPU M.2 Accelerator Module enables seamless integration and full utilization of AI models and applications. The SDK offers enhancements like compatibility with various industry tools and frameworks, thus ensuring a smooth deployment process and quick time-to-market for advanced AI systems. This product represents Axelera AI’s commitment to revolutionizing edge computing with streamlined, effective AI acceleration solutions.
The Talamo SDK from Innatera serves as a comprehensive software development toolkit designed to maximize the capabilities of its Spiking Neural Processor (SNP) lineup. Tailored for developers and engineers, Talamo offers in-depth access to configure and deploy neuromorphic processing solutions effectively. The SDK supports the development of applications that utilize Spiking Neural Networks (SNNs) for diverse sensory processing tasks. Talamo provides a user-friendly interface that simplifies the integration of neural processing capabilities into a wide range of devices and systems. By leveraging the toolkit, developers can customize applications for specific use cases such as real-time audio analysis, touch-free interactions, and biometric data processing. The SDK comes with pre-built models and a model zoo, which helps in rapidly prototyping and deploying sensor-driven solutions. This SDK stands out by offering enhanced tools for developing low-latency, energy-efficient applications. By harnessing the temporal processing strength of SNNs, Talamo allows for the robust development of applications that can operate under strict power and performance constraints, enabling the creation of intelligent systems that can autonomously process data in real-time.
The RV12 RISC-V Processor is a highly configurable, single-core CPU that adheres to RV32I and RV64I standards. It’s engineered for the embedded market, offering a robust structure based on the RISC-V instruction set. The processor's architecture allows simultaneous instruction and data memory accesses, lending itself to a broad range of applications and maintaining high operational efficiency. This flexibility makes it an ideal choice for diverse execution requirements, supporting efficient data processing through an optimized CPU framework. Known for its adaptability, the RV12 processor can support multiple configurations to suit various application demands. It is capable of providing the necessary processing power for embedded systems, boasting a reputation for stability and reliability. This processor becomes integral for designs that require a maintainability of performance without compromising on the configurability aspect, meeting the rigorous needs of modern embedded computing. The processor's support of the open RISC-V architecture ensures its capability to integrate into existing systems seamlessly. It lends itself well to both industrial and academic applications, offering a resource-efficient platform that developers and researchers can easily access and utilize.
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.
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.
The KL630 is a pioneering AI chipset featuring Kneron's latest NPU architecture, which is the first to support Int4 precision and transformer networks. This cutting-edge design ensures exceptional compute efficiency with minimal energy consumption, making it ideal for a wide array of applications. With an ARM Cortex A5 CPU at its core, the KL630 excels in computation while maintaining low energy expenditure. This SOC is designed to handle both high and low light conditions optimally and is perfectly suited for use in diverse edge AI devices, from security systems to expansive city and automotive networks.
The Hanguang 800 AI Accelerator by T-Head Semiconductor is a powerful AI acceleration chip designed to enhance machine learning tasks. It excels in providing the computational power necessary for intensive AI workloads, effectively reducing processing times for large-scale data frameworks. This makes it an ideal choice for organizations aiming to infuse AI capabilities into their operations with maximum efficiency. Built with an emphasis on speed and performance, the Hanguang 800 is optimized for applications requiring vast amounts of data crunching. It supports a diverse array of AI models and workloads, ensuring flexibility and robust performance across varying use cases. This accelerates the deployment of AI applications in sectors such as autonomous driving, natural language processing, and real-time data analysis. The Hanguang 800's architecture is complemented by proprietary algorithms that enhance processing throughput, competing against traditional processors by providing significant gains in efficiency. This accelerator is indicative of T-Head's commitment to advancing AI technologies and highlights their capability to cater to specialized industry needs through innovative semiconductor developments.
The KL520 marks Kneron's foray into the edge AI landscape, offering an impressive combination of size, power efficiency, and performance. Armed with dual ARM Cortex M4 processors, this chip can operate independently or as a co-processor to enable AI functionalities such as smart locks and security monitoring. The KL520 is adept at 3D sensor integration, making it an excellent choice for applications in smart home ecosystems. Its compact design allows devices powered by it to operate on minimal power, such as running on AA batteries for extended periods, showcasing its exceptional power management capabilities.
The KL530 represents a significant advancement in AI chip technology with a new NPU architecture optimized for both INT4 precision and transformer networks. This SOC is engineered to provide high processing efficiency and low power consumption, making it suitable for AIoT applications and other innovative scenarios. It features an ARM Cortex M4 CPU designed for low-power operation and offers a robust computational power of up to 1 TOPS. The chip's ISP enhances image quality, while its codec ensures efficient multimedia compression. Notably, the chip's cold start time is under 500 ms with an average power draw of less than 500 mW, establishing it as a leader in energy efficiency.
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 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 Maverick-2 Intelligent Compute Accelerator represents the pinnacle of Next Silicon's innovative approach to computational resources. This state-of-the-art accelerator leverages the Intelligent Compute Architecture for software-defined adaptability, enabling it to autonomously tailor its real-time operations across various HPC and AI workloads. By optimizing performance using insights gained through real-time telemetry, Maverick-2 ensures superior computational efficiency and reduced power consumption, making it an ideal choice for demanding computational environments.\n\nMaverick-2 brings transformative performance enhancements to large-scale scientific research and data-heavy industries by dispensing with the need for codebase modifications or specialized software stacks. It supports a wide range of familiar development tools and frameworks, such as C/C++, FORTRAN, and Kokkos, simplifying the integration process for developers and reducing time-to-discovery significantly.\n\nEngineered with advanced features like high bandwidth memory (HBM3E) and built on TSMC's 5nm process technology, this accelerator provides not only unmatched adaptability but also an energy-efficient, eco-friendly computing solution. Whether embedded in single-die PCIe cards or dual-die OCP Accelerator Modules, the Maverick-2 is positioned as a future-proof solution capable of evolving with technological advancements in AI and HPC.
Micro Magic's Ultra-Low-Power 64-Bit RISC-V Core is a highly efficient design that operates with remarkably low power consumption, requiring only 10mW at 1GHz. This core exemplifies Micro Magic’s commitment to power efficiency, as it integrates advanced techniques to maintain high performance even at lower voltages. The core is engineered for applications where energy conservation is crucial, making it ideal for modern, power-sensitive devices. The architectural design of this RISC-V core utilizes innovative technology to ensure high-speed processing capabilities while minimizing power draw. This balance is achieved through precise engineering and the use of state-of-the-art design methodologies that reduce operational overhead without compromising performance. As a result, this core is particularly suited for applications in portable electronics, IoT devices, and other areas where low-power operation is a necessity. Micro Magic's experience in developing high-speed, low-power solutions is evident in this core's design, ensuring that it delivers reliable performance under various operational conditions. The Ultra-Low-Power 64-Bit RISC-V Core represents a significant advancement in processor efficiency, providing a robust solution for designers looking to enhance their products' capabilities while maintaining a low power footprint.
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.
KPIT Technologies provides comprehensive vehicle engineering and design solutions that blend aesthetic appeal with functional efficiency. These solutions are designed to assist automakers throughout the vehicle development process, from initial concept to finished product, ensuring designs are both innovative and practical. Focusing on high precision and quality, KPIT’s engineering solutions encompass a wide range of services such as design validation, prototyping, and simulation-driven design optimizations. They utilize advanced simulation tools to refine vehicle dynamics, structural integrity, and ergonomic designs, ensuring a balance between cost-effectiveness and cutting-edge innovation. KPIT’s design approach emphasizes sustainable and intelligent engineering, enabling automakers to create vehicles that not only look good but also perform exceptionally well under various conditions. By offering tailored design and engineering solutions, KPIT enhances the ability of automotive companies to bring state-of-the-art vehicles to market swiftly and efficiently.
StarFive's Tianqiao-70 is engineered to deliver superior performance in a power-efficient package. This 64-bit RISC-V CPU core is designed for commercial-grade applications, where consistent and reliable performance is mandatory, yet energy consumption must be minimized. The core's architecture integrates low power design principles without compromising its ability to execute complex instructions efficiently. It is particularly suited for mobile applications, desktop clients, and intelligent gadgets requiring sustained battery life. The Tianqiao-70's design focuses on extending the operational life of devices by ensuring minimal power draw during both active and idle states. It supports an array of advanced features that cater to the latest computational demands. As an ideal solution for devices that combine portability with intensive processing demands, the Tianqiao-70 offers an optimal balance of performance and energy conservation. Its capability to adapt to various operating environments makes it a versatile option for developers looking to maximize efficiency and functionality.
The NMP-750 is AiM Future's powerful edge computing accelerator designed specifically for high-performance tasks. With up to 16 TOPS of computational throughput, this accelerator is perfect for automotive, AMRs, UAVs, as well as AR/VR applications. Fitted with up to 16 MB of local memory and featuring RISC-V or Arm Cortex-R/A 32-bit CPUs, it supports diverse data processing requirements crucial for modern technological solutions. The versatility of the NMP-750 is displayed in its ability to manage complex processes such as multi-camera stream processing and spectral efficiency management. It is also an apt choice for applications that require energy management and building automation, demonstrating exceptional potential in smart city and industrial setups. With its robust architecture, the NMP-750 ensures seamless integration into systems that need to handle large data volumes and support high-speed data transmission. This makes it ideal for applications in telecommunications and security where infrastructure resilience is paramount.
The N Class RISC-V CPU IP from Nuclei is tailored for applications where space efficiency and power conservation are paramount. It features a 32-bit architecture and is highly suited for microcontroller applications within the AIoT realm. The N Class processors are crafted to provide robust processing capabilities while maintaining a minimal footprint, making them ideal candidates for devices that require efficient power management and secure operations. By adhering to the open RISC-V standard, Nuclei ensures that these processors can be seamlessly integrated into various solutions, offering customizable options to fit specific system requirements.
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.
RapidGPT by PrimisAI is a revolutionary AI-based tool that transforms the landscape of Electronic Design Automation (EDA). Using generative AI, RapidGPT facilitates a seamless transition from traditional design methods to a more dynamic and intuitive process. This tool is characterized by its ability to interpret natural language inputs, enabling hardware designers to communicate design intentions effortlessly and effectively. Through RapidGPT, engineers gain access to a powerful code assistant that simplifies the conversion of ideas into fully realized Verilog code. By integrating third-party semiconductor IP seamlessly, the tool extends beyond basic design needs to offer a comprehensive framework for accelerating development times. RapidGPT further distinguishes itself by guiding users through the entire design lifecycle, from initial concepts to complete bitstream and GDSII stages, thus redefining productivity in hardware design. With RapidGPT, PrimisAI supports a wide spectrum of interactions and is trusted by numerous companies, underscoring its reliability and impact in the field. The tool's ability to enhance productivity and reduce time-to-market makes it a preferred choice for engineers aiming to combine efficiency with innovation in their projects. Easy to integrate into existing workflows, RapidGPT sets new standards in EDA, empowering users with an unparalleled interface and experience.
Designed for efficient processing, the SCR3 microcontroller core offers a versatile solution for embedded environments. It comes equipped with a 5-stage in-order pipeline and supports both 32-bit and 64-bit symmetric multiprocessing (SMP) configurations, facilitating advanced applications. The core integrates privilege modes and includes memory protection units (MPUs), along with L1 and L2 caches, ensuring data integrity and performance. Its efficient architecture is optimized for energy-conscious applications, making it ideal for industrial, automotive, and IoT applications.
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.
RAIV represents Siliconarts' General Purpose-GPU (GPGPU) offering, engineered to accelerate data processing across diverse industries. This versatile GPU IP is essential in sectors engaged in high-performance computing tasks, such as autonomous driving, IoT, and sophisticated data centers. With RAIV, Siliconarts taps into the potential of the fourth industrial revolution, enabling rapid computation and seamless data management. The RAIV architecture is poised to deliver unmatched efficiency in high-demand scenarios, supporting massive parallel processing and intricate calculations. It provides an adaptable framework that caters to the needs of modern computing, ensuring balanced workloads and optimized performance. Whether used for VR/AR applications or supporting the back-end infrastructure of data-intensive operations, RAIV is designed to meet and exceed industry expectations. RAIV’s flexible design can be tailored to enhance a broad spectrum of applications, promising accelerated innovation in sectors dependent on AI and machine learning. This GPGPU IP not only underscores Siliconarts' commitment to technological advancement but also highlights its capability to craft solutions that drive forward computational boundaries.
CrossBar's ReRAM Memory is designed to redefine data storage with its high-density and energy-efficient characteristics. The memory solution can achieve terabyte-scale storage on-chip, significantly surpassing traditional flash memory solutions in both speed and power consumption. Offered in a 3D cross-point architecture, it is capable of providing high performance with minimal layout overhead. Engineered for next-generation applications, this ReRAM technology boasts a performance edge with 20ns read times and 12µs write capabilities, eliminating the usual erase latency. It is significantly faster than traditional NAND flash with its lightning-fast read and write speeds, making it suitable for real-time processing required by cutting-edge applications such as AI and IoT. Security is a key feature, offering tamper-resistant provisions for cryptographic key storage ensuring robust protection against data breaches. The memory solution leverages advanced technology to deliver energy savings of up to 5x compared to eFlash, and up to 40x when compared to BLE, positioning it as an ideal choice for mobile and low-power applications.
The EW6181 GPS and GNSS solution from EtherWhere is tailored for applications requiring high integration levels, offering licenses in RTL, gate-level netlist, or GDS formats. This highly adaptable IP can be ported across various technology nodes, provided an RF frontend is available. Designed to be one of the smallest and most power-efficient cores, it optimizes battery life significantly in devices such as tags and modules, making it ideal for challenging environments. The IP's strengths lie in its digital processing capabilities, utilizing cutting-edge DSP algorithms for precision and reliability in location tracking. With a digital footprint approximately 0.05mm² on a 5nm node, the EW6181 boasts a remarkably compact size, aiding in minimal component use and a streamlined Bill of Materials (BoM). Its stable firmware ensures accurate and reliable position fixations. In terms of implementation, this IP offers a combination of compact design and extreme power efficiency, providing substantial advantages in battery-operated environments. The EW6181 delivers critical support and upgrades, facilitating seamless high-reliability tracking for an array of applications demanding precise navigation.
The Codasip RISC-V BK Core Series offers versatile, low-power, and high-performance solutions tailored for various embedded applications. These cores ensure efficiency and reliability by incorporating RISC-V compliance and are verified through advanced methodologies. Known for their adaptability, these cores can cater to applications needing robust performance while maintaining stringent power and area requirements.
The Ncore Cache Coherent Interconnect is designed to tackle the complexities inherent in multicore SoC environments. By maintaining coherence across heterogeneous cores, it enables efficient data sharing and optimizes cache use. This in turn enhances the throughput of the system, ensuring reliable performance with reduced latency. The architecture supports a wide range of cores, making it a versatile option for many applications in high-performance computing. With Ncore, designers can address the challenges of maintaining data consistency across different processor cores without incurring significant power or performance penalties. The interconnect's capability to handle multicore scenarios means it is perfectly suited for advanced computing solutions where data integrity and speed are paramount. Additionally, its configuration options allow customization to meet specific project needs, maintaining flexibility in design applications. Its efficiency in multi-threading environments, coupled with robust data handling, marks it as a crucial component in designing state-of-the-art SoCs. By supporting high data throughput, Ncore keeps pace with the demands of modern processing needs, ensuring seamless integration and operation across a variety of sectors.
The C100 IoT chip by Chipchain is engineered to meet the diverse needs of modern IoT applications. It integrates a powerful 32-bit RISC-V CPU capable of reaching speeds up to 1.5GHz, with built-in RAM and ROM to facilitate efficient data processing and computational capabilities. This sophisticated single-chip solution is known for its low power consumption, making it ideal for a variety of IoT devices. This chip supports seamless connectivity through embedded Wi-Fi and multiple transmission interfaces, allowing it to serve broad application areas with minimal configuration complexity. Additionally, it boasts integrated ADCs, LDOs, and temperature sensors, offering a comprehensive toolkit for developers looking to innovate across fields like security, healthcare, and smart home technology. Notably, the C100 simplifies the development process with its high level of integration and performance. It stands as a testament to Chipchain's commitment to providing reliable, high-performance solutions for the rapidly evolving IoT landscape. The chip's design focuses on ensuring stability and security, which are critical in IoT installations.
The KL720 AI SoC is designed for optimal performance-to-power ratios, achieving 0.9 TOPS per watt. This makes it one of the most efficient chips available for edge AI applications. The SOC is crafted to meet high processing demands, suitable for high-end devices including smart TVs, AI glasses, and advanced cameras. With an ARM Cortex M4 CPU, it enables superior 4K imaging, full HD video processing, and advanced 3D sensing capabilities. The KL720 also supports natural language processing (NLP), making it ideal for emerging AI interfaces such as AI assistants and gaming gesture controls.
The AHB-Lite Timer module designed by Roa Logic is compliant with the RISC-V Privileged 1.9.1 specification, offering a versatile timing solution for embedded applications. As an integral peripheral, it provides precise timing functionalities, enabling applications to perform scheduled operations accurately. Its parameterized design allows developers to adjust the timer's features to match the needs of their system effectively. This timer module supports a broad scope of timing tasks, ranging from simple delay setups to complex timing sequences, making it ideal for various embedded system requirements. The flexibility in its design ensures straightforward implementation, reducing complexity and enhancing the overall performance of the target application. With RISC-V compliance at its core, the AHB-Lite Timer ensures synchronization and precision in signal delivery, crucial for systems tasked with critical timing operations. Its adaptable architecture and dependable functionality make it an exemplary choice for projects where timing accuracy is required.
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 Spiking Neural Processor T1 is an ultra-low power processor developed specifically for enhancing sensor capabilities at the edge. By leveraging advanced Spiking Neural Networks (SNNs), the T1 efficiently deciphers patterns in sensor data with minimal latency and power usage. This processor is especially beneficial in real-time applications, such as audio recognition, where it can discern speech from audio inputs with sub-millisecond latency and within a strict power budget, typically under 1mW. Its mixed-signal neuromorphic architecture ensures that pattern recognition functions can be continually executed without draining resources. In terms of processing capabilities, the T1 resembles a dedicated engine for sensor tasks, offering functionalities like signal conditioning, filtering, and classification independent of the main application processor. This means tasks traditionally handled by general-purpose processors can now be offloaded to the T1, conserving energy and enhancing performance in always-on scenarios. Such functionality is crucial for pervasive sensing tasks across a range of industries. With an architecture that balances power and performance impeccably, the T1 is prepared for diverse applications spanning from audio interfaces to the rapid deployment of radar-based touch-free interactions. Moreover, it supports presence detection systems, activity recognition in wearables, and on-device ECG processing, showcasing its versatility across various technological landscapes.
The RayCore MC is a revolutionary real-time path and ray-tracing GPU designed to enhance rendering with minimal power consumption. This GPU IP is tailored for real-time applications, offering a rich graphical experience without compromising on speed or efficiency. By utilizing advanced ray-tracing capabilities, RayCore MC provides stunning visual effects and lifelike animations, setting a high standard for quality in digital graphics. Engineered for scalability and performance, RayCore MC stands out in the crowded field of GPU technologies by delivering seamless, low-latency graphics. It is particularly suited for applications in gaming, virtual reality, and the burgeoning metaverse, where realistic rendering is paramount. The architecture supports efficient data management, ensuring that even the most complex visual tasks are handled with ease. RayCore MC's architecture supports a wide array of applications beyond entertainment, making it a vital tool in areas such as autonomous vehicles and data-driven industries. Its blend of power efficiency and graphical prowess ensures that developers can rely on RayCore MC for cutting-edge, resource-light graphic solutions.
The SCR6 microcontroller core offers high performance within a microcontroller framework, featuring a sophisticated 12-stage dual-issue out-of-order pipeline. It's aimed at applications needing high processing power but within the constraints of embedded systems. The core includes a high-performance floating-point unit (FPU), making it suitable for computation-heavy tasks while also supporting real-time operating systems. Its design ensures its applicability across fields like industrial automation, sensor fusion, and automotive systems, where power efficiency and performance are critical.
The ReRAM IP Cores for Embedded Non-Volatile Memory are crafted to seamlessly integrate into microcontrollers (MCUs) and systems on chips (SOCs), addressing the enduring need for efficient and scalable storage. These IP cores leverage CrossBar's signature 3D ReRAM technology to provide unparalleled performance in both speed and density, tailored specifically for embedded systems. Designed to offer superior integration capabilities, this ReRAM technology reduces traditional bottlenecks witnessed with embedded flash memory solutions. It allows for rapid data access and storage, making it a superior choice for applications requiring frequent read/write operations. By offering robust tamper-resistance for secure key storage, these IP cores also add an additional layer of security critical for modern embedded systems. They enable cost-effective scalability and flexibility for manufacturers looking to enhance their products with cutting-edge memory technology.
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 RISC-V Core from AheadComputing is a state-of-the-art application processor, designed to drive next-generation computing solutions. Built on an open-source architecture, this processor core emphasizes enhanced instruction per cycle (IPC) performance, setting the stage for highly efficient computing capabilities. As part of the company's commitment to delivering world-leading performance, the RISC-V Core provides a reliable backbone for advanced computing tasks across various applications. This core's design harnesses the power of 64-bit architecture, providing significant improvements in data handling and processing speed. The focus on 64-bit processing facilitates better computational tasks, ensuring robust performance in data-intensive applications. With AheadComputing's emphasis on superior compute solutions, the RISC-V Core exemplifies their commitment to power, performance, and flexibility. As a versatile computing component, the RISC-V Core suits a range of applications from consumer electronics to enterprise-level computing. It is designed to integrate seamlessly into diverse systems, meeting complex computational demands with finesse. This core stands out in the industry, underpinned by AheadComputing's dedication to pushing the boundaries of what a processor can achieve.
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.
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