All IPs > Processor > Microcontroller
Microcontrollers form the backbone of many modern electronic devices, offering precise control and processing capabilities that power everything from consumer electronics to industrial machines. In the world of semiconductor IPs, microcontrollers provide the essential building blocks that allow developers to design complex functionalities tailored to specific applications. This category is vital for those looking to integrate processing and control functionalities directly into their embedded systems, providing efficiencies in both performance and energy use.
Microcontrollers available as semiconductor IPs are used in a broad spectrum of applications, from automotive and aerospace to smart home devices and IoT gadgets. By selecting a microcontroller IP, developers can customize core functions such as CPU architecture, memory management, input/output controls, and specialized peripherals to meet the specific needs of their projects. These IPs are designed to streamline the development process, reduce time-to-market, and offer flexibility in the design and scalability of end products.
One of the key advantages of utilizing microcontroller semiconductor IPs is the ability to incorporate proprietary or emerging technologies seamlessly into existing systems. This not only helps in keeping the product line up-to-date with the latest technology trends but also ensures that the devices remain competitive in the rapidly evolving electronics marketplace. Moreover, integrating microcontroller IPs can lead to cost savings by minimizing the need for additional chips and lowering power consumption through optimized architectures and process technologies.
As you explore the Processor > Microcontroller category in our Silicon Hub, you'll discover a wealth of options that cater to various industry needs, ranging from low-power designs suitable for portable devices to high-performance solutions required for complex computing tasks. Whether you are designing a simple control unit or a sophisticated embedded application, microcontroller semiconductor IPs provide the versatility and functionality necessary to drive innovation.
The Yitian 710 Processor is a groundbreaking component in processor technology, designed with cutting-edge architecture to enhance computational efficiency. This processor is tailored for cloud-native environments, offering robust support for high-demand computing tasks. It is engineered to deliver significant improvements in performance, making it an ideal choice for data centers aiming to optimize their processing power and energy efficiency. With its advanced features, the Yitian 710 stands at the forefront of processor innovation, ensuring seamless integration with diverse technology platforms and enhancing the overall computing experience across industries.
The Quadric Chimera General Purpose Neural Processing Unit (GPNPU) delivers unparalleled performance for AI workloads, characterized by its ability to handle diverse and complex tasks without requiring separate processors for different operations. Designed to unify AI inference and traditional computing processes, the GPNPU supports matrix, vector, and scalar tasks within a single, cohesive execution pipeline. This design not only simplifies the integration of AI capabilities into system-on-chip (SoC) architectures but also significantly boosts developer productivity by allowing them to focus on optimizing rather than partitioning code. The Chimera GPNPU is highly scalable, supporting a wide range of operations across all market segments, including automotive applications with its ASIL-ready versions. With a performance range from 1 to 864 TOPS, it excels in running the latest AI models, such as vision transformers and large language models, alongside classic network backbones. This flexibility ensures that devices powered by Chimera GPNPU can adapt to advancing AI trends, making them suitable for applications that require both immediate performance and long-term capability. A key feature of the Chimera GPNPU is its fully programmable nature, making it a future-proof solution for deploying cutting-edge AI models. Unlike traditional NPUs that rely on hardwired operations, the Chimera GPNPU uses a software-driven approach with its source RTL form, making it a versatile option for inference in mobile, automotive, and edge computing applications. This programmability allows for easy updating and adaptation to new AI model operators, maximizing the lifespan and relevance of chips that utilize this technology.
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.
The xcore.ai platform by XMOS is a versatile, high-performance microcontroller designed for the integration of AI, DSP, and real-time I/O processing. Focusing on bringing intelligence to the edge, this platform facilitates the construction of entire DSP systems using software without the need for multiple discrete chips. Its architecture is optimized for low-latency operation, making it suitable for diverse applications from consumer electronics to industrial automation. This platform offers a robust set of features conducive to sophisticated computational tasks, including support for AI workloads and enhanced control logic. The xcore.ai platform streamlines development processes by providing a cohesive environment that blends DSP capabilities with AI processing, enabling developers to realize complex applications with greater efficiency. By doing so, it reduces the complexity typically associated with chip integration in advanced systems. Designed for flexibility, xcore.ai supports a wide array of applications across various markets. Its ability to handle audio, voice, and general-purpose processing makes it an essential building block for smart consumer devices, industrial control systems, and AI-powered solutions. Coupled with comprehensive software support and development tools, the xcore.ai ensures a seamless integration path for developers aiming to push the boundaries of AI-enabled technologies.
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 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.
Crafted to deliver significant power savings, the Tianqiao-70 is a low-power RISC-V CPU that excels in commercial-grade scenarios. This 64-bit CPU core is primarily designed for applications where power efficiency is critical, such as mobile devices and computationally intensive IoT solutions. The core's architecture is specifically optimized to perform under stringent power budgets without compromising on the processing power needed for complex tasks. It provides an efficient solution for scenarios that demand reliable performance while maintaining a low energy footprint. Through its refined design, the Tianqiao-70 supports a broad spectrum of applications, including personal computing, machine learning, and mobile communications. Its versatility and power-awareness make it a preferred choice for developers focused on sustainable and scalable computing architectures.
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 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.
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.
Syntacore's SCR3 microcontroller core is a versatile option for developers looking to harness the power of a 5-stage in-order pipeline. Designed to support both 32-bit and 64-bit symmetric multiprocessing (SMP) configurations, this core is perfectly aligned with the needs of embedded applications requiring moderate power and resource efficiency coupled with enhanced processing capabilities. The architecture is fine-tuned to handle a variety of workloads, ensuring a balance between performance and power usage, making it suitable for sectors such as industrial automation, automotive sensors, and IoT devices. The inclusion of privilege modes, memory protection units (MPUs), and cache systems further enhances its capabilities, particularly in environments where system security and reliability are paramount. Developers will find the SCR3 core to be highly adaptable, fitting seamlessly into designs that need scalability and modularity. Syntacore's comprehensive toolkit, combined with detailed documentation, ensures that system integration is both quick and reliable, providing a robust foundation for varied applications.
The Neural Processing Unit (NPU) offered by OPENEDGES is engineered to accelerate machine learning tasks and AI computations. Designed for integration into advanced processing platforms, this NPU enhances the ability of devices to perform complex neural network computations quickly and efficiently, significantly advancing AI capabilities. This NPU is built to handle both deep learning and inferencing workloads, utilizing highly efficient data management processes. It optimizes the execution of neural network models with acceleration capabilities that reduce power consumption and latency, making it an excellent choice for real-time AI applications. The architecture is flexible and scalable, allowing it to be tailored for specific application needs or hardware constraints. With support for various AI frameworks and models, the OPENEDGES NPU ensures compatibility and smooth integration with existing AI solutions. This allows companies to leverage cutting-edge AI performance without the need for drastic changes to legacy systems, making it a forward-compatible and cost-effective solution for modern AI applications.
The Codasip RISC-V BK Core Series is designed to offer flexible and high-performance core options catering to a wide range of applications, from low-power tasks to intricate computational needs. This series achieves optimal balance in power consumption and processing speed, making it suitable for applications demanding energy efficiency without compromising performance. These cores are fully RISC-V compliant, allowing for easy customizations to suit specific needs by modifying the processor's architecture or instruction set through Codasip Studio. The BK Core Series provides a streamlining process for developing precise computing solutions, ideal for IoT edge devices and sensor controllers where both small area and low power are critical. Moreover, the BK Core Series supports architectural exploration, enabling users to optimize the core design specifically tailored to their applications. This capability ensures that each core delivers the expected power, efficiency, and performance metrics required by modern technological solutions.
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 RISC-V Core IP developed by AheadComputing Inc. stands out in the field of 64-bit application processors. Designed to deliver exceptional per-core performance, this processor is engineered with the highest standards to maximize the Instructions Per Cycle (IPC) efficiency. AheadComputing's RISC-V Core IP is continuously refined to address the growing demands of high-performance computing applications. The innovative architecture of this core allows for seamless execution of complex algorithms while achieving superior speed and efficiency. This design is crucial for applications that require fast data processing and real-time computational capabilities. By integrating advanced power management techniques, the RISC-V Core IP ensures energy efficiency without sacrificing performance, making it suitable for a wide range of electronic devices. Anticipating future computing needs, AheadComputing's RISC-V Core IP incorporates state-of-the-art features that support scalability and adaptability. These features ensure that the IP remains relevant as technology evolves, providing a solid foundation for developing next-generation computing solutions. Overall, it embodies AheadComputing’s commitment to innovation and performance excellence.
The Spiking Neural Processor T1 is designed as a highly efficient microcontroller that integrates neuromorphic intelligence closely with sensors. It employs a unique spiking neural network engine paired with a nimble RISC-V processor core, forming a cohesive unit for advanced data processing. With this setup, the T1 excels in delivering next-gen AI capabilities embedded directly at the sensor, operating within an exceptionally low power consumption range, ideal for battery-dependent and latency-sensitive applications. This processor marks a notable advancement in neuromorphic technology, allowing for real-time pattern recognition with minimal power draw. It supports various interfaces like QSPI, I2C, and UART, fitting into a compact 2.16mm x 3mm package, which facilitates easy integration into diverse electronic devices. Additionally, its architecture is designed to process different neural network models efficiently, from spiking to deep neural networks, providing versatility across applications. The T1 Evaluation Kit furthers this ease of adoption by enabling developers to use the Talamo SDK to create or deploy applications readily. It includes tools for performance profiling and supports numerous common sensors, making it a strong candidate for projects aiming to leverage low-power, intelligent processing capabilities. This innovative chip's ability to manage power efficiency with high-speed pattern processing makes it especially suitable for advanced sensing tasks found in wearables, smart home devices, and more.
The Chipchain C100 is a pioneering solution in IoT applications, providing a highly integrated single-chip design that focuses on low power consumption without compromising performance. Its design incorporates a powerful 32-bit RISC-V CPU which can reach speeds up to 1.5GHz. This processing power ensures efficient and capable computing for diverse IoT applications. This chip stands out with its comprehensive integrated features including embedded RAM and ROM, making it efficient in both processing and computing tasks. Additionally, the C100 comes with integrated Wi-Fi and multiple interfaces for transmission, broadening its application potential significantly. Other notable features of the C100 include an ADC, LDO, and a temperature sensor, enabling it to handle a wide array of IoT tasks more seamlessly. With considerations for security and stability, the Chipchain C100 facilitates easier and faster development in IoT applications, proving itself as a versatile component in smart devices like security systems, home automation products, and wearable technology.
The Maverick-2 Intelligent Compute Accelerator (ICA) by Next Silicon represents a transformative leap in high-performance compute architecture. It seamlessly integrates into HPC systems with a pioneering software-defined approach that dynamically optimizes hardware configurations based on real-time application demands. This enables high efficiency and unparalleled performance across diverse workloads including HPC, AI, and other data-intensive applications. Maverick-2 harnesses a 5nm process technology, utilizing HBM3E memory for enhanced data throughput and efficient energy usage.\n\nBuilt with developers in mind, Maverick-2 supports an array of programming languages such as C/C++, FORTRAN, and OpenMP without the necessity for proprietary stacks. This flexibility not only mitigates porting challenges but significantly reduces development time and costs. A distinguishing feature of Maverick-2 is its real-time telemetry capabilities that provide valuable insights into performance metrics, allowing for refined optimizations during execution.\n\nThe architecture supports versatile interfaces such as PCIe Gen 5 and offers configurations that accommodate complex workloads using either single or dual-die setups. Its intelligent algorithms autonomously identify computational bottlenecks to enhance throughput and scalability, thus future-proofing investments as computing demands evolve. Maverick-2's utility spans various sectors including life sciences, energy, and fintech, underlining its adaptability and high-performance capabilities.
Designed for exceptional performance in demanding environments, the SCR6 microcontroller core integrates advanced processing capabilities with power efficiency. Featuring a 12-stage, dual-issue out-of-order pipeline and a high-performance floating-point unit (FPU), it excels in managing computationally intensive tasks with finesse and speed, making it a prime candidate for next-gen microcontroller applications. With a focus on high bandwidth and efficient throughput, the SCR6 supports scalable deployments thanks to its symmetrical multiprocessing (SMP) configurations. This design enables usage in sectors where swift processing and reliability are crucial, such as real-time industrial automation, automotive systems, and IoT platforms. Syntacore’s SCR6 benefits from a well-rounded development environment, offering support that ensures high compatibility with a variety of platforms and applications. The core exemplifies Syntacore's commitment to providing innovative solutions that embody both the potential and flexibility of the RISC-V architecture.
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 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 NMP-350 is an endpoint accelerator designed to deliver the lowest power and cost efficiency in its class. Ideal for applications such as driver authentication and health monitoring, it excels in automotive, AIoT/sensors, and wearable markets. The NMP-350 offers up to 1 TOPS performance with 1 MB of local memory, and is equipped with a RISC-V or Arm Cortex-M 32-bit CPU. It supports multiple use-cases, providing exceptional value for integrating AI capabilities into various devices. NMP-350's architectural design ensures optimal energy consumption, making it particularly suited to Industry 4.0 applications where predictive maintenance is crucial. Its compact nature allows for seamless integration into systems requiring minimal footprint yet substantial computational power. With support for multiple data inputs through AXI4 interfaces, this accelerator facilitates enhanced machine automation and intelligent data processing. This product is a testament to AiM Future's expertise in creating efficient AI solutions, providing the building blocks for smart devices that need to manage resources effectively. The combination of high performance with low energy requirements makes it a go-to choice for developers in the field of AI-enabled consumer technology.
The SCR1 microcontroller core from Syntacore is an open-source, compact core tailored for deeply embedded applications. It features a straightforward 4-stage in-order pipeline, making it ideally suited for smaller, power-constrained devices where performance needs to be finely balanced with energy consumption. This core is particularly valuable in applications requiring a high degree of customization and flexibility. With a unique combination of low area footprint and efficiency, the SCR1 is a pivotal tool for developers involved in creating optimized, scalable systems, particularly in the fields of sensory data processing, IoT, and control systems. Its design architecture ensures that it can efficiently handle the demands of modern consumer electronics and other compact embedded devices. The SCR1 supports a rich ecosystem of development tools provided by Syntacore, ensuring that integration into various platforms is seamless. Syntacore's commitment to open-source development allows for a wide adoption of their core among a diverse range of projects and initiatives, enhancing the potential of the RISC-V architecture in global markets.
Syntacore’s SCR9 processor core stands out as a powerful force in handling high-performance computing tasks with its dual-issue out-of-order 12-stage pipeline. This core is engineered for environments that demand peak computational ability and robust pipeline execution, crucial for data-intense tasks such as AI and ML, enterprise applications, and network processing. The architecture is tailored to support extensive multicore and heterogeneous configurations, providing valuable tools for developers aiming to maximize workload efficiency and processing speed. The inclusion of a vector processing unit (VPU) underscores its capability to handle large datasets and complex calculations, while maintaining system integrity and coherence through its comprehensive cache management. With support for hypervisor functionalities and scalable Linux environments, the SCR9 continues to be a key strategic element in expanding the horizons of RISC-V-based applications. Syntacore’s extensive library of development resources further enriches the usability of this core, ensuring that its implementation remains smooth and effective across diverse technological landscapes.
The Y180 is a microprocessor that serves as a precise clone of the Zilog Z180 CPU, encapsulating approximately 8,000 gates. This processor provides the familiar functionalities and efficiencies of the Z180 architecture while enhancing performance through Systemyde's design optimizations. A critical feature of the Y180 is its ability to seamlessly integrate within systems requiring the well-established Z180 instruction set. This compatibility enables the Y180 to be a direct replacement or enhancement in existing infrastructure, providing a straightforward upgrade path with minimal impact on design integration. Systemyde backs the Y180 with a comprehensive set of design and testing tools, ensuring that each implementation meets stringent operational standards. Its efficient architecture and silicon-proven reliability make it an ideal choice for applications that benefit from the Z180 design philosophy while leveraging modern advancements in processing capabilities.
Tailored for high efficiency, the NMP-550 accelerator advances performance in the fields of automotive, mobile, AR/VR, and more. Designed with versatility in mind, it finds applications in driver monitoring, video analytics, and security through its robust capabilities. Offering up to 6 TOPS of processing power, it includes up to 6 MB of local memory and a choice of RISC-V or Arm Cortex-M/A 32-bit CPU. In environments like drones, robotics, and medical devices, the NMP-550's enhanced computational skills allow for superior machine learning and AI functions. This is further supported by its ability to handle comprehensive data streams efficiently, making it ideal for tasks such as image analytics and fleet management. The NMP-550 exemplifies how AiM Future harnesses cutting-edge technology to develop powerful processors that meet contemporary demands for higher performance and integration into a multitude of smart technologies.
The SCR7 application core is at the forefront of performance and innovation, featuring a 12-stage dual-issue out-of-order pipeline with capabilities that support high-performance, Linux-capable application environments. This core is essential for scenarios demanding seamless cache coherency and support for complex operational tasks. Ideal for high-demand markets such as data centers, artificial intelligence, and mobile technologies, the SCR7 provides a robust and efficient solution that thrives under demanding conditions. It supports 64-bit SMP configurations up to 8 cores, effectively handling multi-threaded operations with superior data throughput capabilities. Syntacore enhances this core’s functionality through its comprehensive ecosystem of tools and support resources, ensuring developers can maximize the capabilities of this formidable hardware. The SCR7 stands as a testament to the scalability and adaptability intrinsic to the RISC-V architecture, reinforced by Syntacore's innovative approach to processor IP design.
The AndeShape Platforms are designed to streamline system development by providing a diverse suite of IP solutions for SoC architecture. These platforms encompass a variety of product categories, including the AE210P for microcontroller applications, AE300 and AE350 AXI fabric packages for scalable SoCs, and AE250 AHB platform IP. These solutions facilitate efficient system integration with Andes processors. Furthermore, AndeShape offers a sophisticated range of development platforms and debugging tools, such as ADP-XC7K160/410, which reinforce the system design and verification processes, providing a comprehensive environment for the innovative realization of IoT and other embedded applications.
Specially engineered for the automotive industry, the NA Class IP by Nuclei complies with the stringent ISO26262 functional safety standards. This processor is crafted to handle complex automotive applications, offering flexibility and rigorous safety protocols necessary for mission-critical transportation technologies. Incorporating a range of functional safety features, the NA Class IP is equipped to ensure not only performance but also reliability and safety in high-stakes vehicular environments.
The NaviSoC is a versatile system-on-chip that revolutionizes GNSS applications by combining a high-performance receiver with an application processor. Designed for precision-demanding tasks, NaviSoC provides centimeter-level accuracy, making it ideal for applications such as autonomous drones and smart agriculture. It boasts a high update rate and low power consumption, crucial for real-time tracking and energy-efficient operations. This system-on-chip is enhanced with a RISC-V MCU, expanding its capabilities for various applications in asset tracking and industrial navigation. Its flexibility is evident in its support for all-constellation, all-band GNSS signals, providing global coverage and reliability. With fast time-to-first-fix capabilities and integration features such as dead reckoning and RTK, NaviSoC can handle challenging environments, ensuring consistent performance. NaviSoC's architecture integrates numerous peripherals and interfaces, optimized for seamless connectivity and extended functionality. Whether for UAV operations or time synchronization, the NaviSoC is equipped to address the most demanding requirements of today's connected world. Its adaptability is epitomized by its support for embedded flash and a dedicated software development kit (SDK), allowing for customization and rapid deployment in bespoke applications. This GNSS solution is also supported by a suite of development tools and evaluation boards, ensuring that developers can efficiently bring applications from concept to reality. As a flagship product of ChipCraft, NaviSoC underlines the company's commitment to delivering state-of-the-art semiconductor solutions.
Tachyum's Prodigy Universal Processor marks a significant milestone as it combines the functionalities of Central Processing Units (CPUs), General-Purpose Graphics Processing Units (GPGPUs), and Tensor Processing Units (TPUs) into a single cohesive architecture. This groundbreaking design is tailored to meet the escalating demands of artificial intelligence, high-performance computing, and hyperscale data centers by offering unparalleled performance, energy efficiency, and high utilization rates. The Prodigy processor not only tackles common data center challenges like elevated power consumption and stagnating processor performance but also offers a robust solution to enhance server utilization and reduce the carbon footprint of massive computational installations. Notably, it thrives on a simplified programming model grounded in coherent multiprocessor architecture, thereby enabling seamless execution of an array of AI disciplines like Explainable AI, Bio AI, and deep machine learning within a single hardware platform.
The RISC-V Processor Core developed by Fraunhofer IPMS is a versatile processor designed for the flexible demands of modern digital systems. It adheres to the open RISC-V architecture, ensuring a customizable and extendable computing platform. This processor core is ideal for applications requiring low-power consumption without sacrificing processing power, making it suitable for IoT devices and embedded systems. Built with a focus on energy efficiency and speed, the RISC-V core is capable of executing complex operations at rapid speeds, making it a reliable choice for time-sensitive tasks and high-performance computations. It supports a wide range of data processing capabilities, delivering optimized performance for various applications, from consumer electronics to advanced automotive systems. With its open-source foundation, this processor core allows for extensive customization, fostering innovation and adaptability in design processes. By supporting seamless integration into various system architectures, the RISC-V core ensures compatibility and scalability, crucial for modern technological advancements.
The SiFive Essential family provides a comprehensive range of embedded processor cores that can be tailored to various application needs. This series incorporates silicon-proven, pre-defined CPU cores with a focus on scalability and configurability, ranging from simple 32-bit MCUs to advanced 64-bit processors capable of running embedded RTOS and full-fledged operating systems like Linux. SiFive Essential empowers users with the flexibility to customize the design for specific performance, power, and area requirements. The Essential family introduces significant advancements in processing capabilities, allowing users to design processors that meet precise application needs. It features a rich set of options for interface customizations, providing seamless integration into broader SoC designs. Moreover, the family supports an 8-stage pipeline architecture and, in some configurations, offers dual-issue superscalar capabilities for enhanced processing throughput. For applications where security and traceability are crucial, the Essential family includes WorldGuard technology, which ensures comprehensive protection across the entire SoC, safeguarding against unauthorized access. The flexible design opens up various use cases, from IoT devices and microcontrollers to real-time control applications and beyond.
The NS Class is Nuclei's crucial offering for applications prioritizing security and fintech solutions. This RISC-V CPU IP securely manages IoT environments with its highly customizable and secure architecture. Equipped to support advanced security protocols and functional safety features, the NS Class is particularly suited for payment systems and other fintech applications, ensuring robust protection and reliable operations. Its design follows the RISC-V standards and is accompanied by customizable configuration options tailored to meet specific security requirements.
The NX Class RISC-V CPU IP by Nuclei is characterized by its 64-bit architecture, making it a robust choice for storage, AR/VR, and AI applications. This processing unit is designed to accommodate high data throughput and demanding computational tasks. By leveraging advanced capabilities, such as virtual memory and enhanced processing power, the NX Class facilitates cutting-edge technological applications and is adaptable for integration into a vast array of high-performance systems.
Engineered for a dynamic performance footprint, the SCR4 microcontroller core offers a significant advantage with its 5-stage in-order pipeline and specialized floating-point unit (FPU). This characteristic makes it ideal for applications demanding precise computational accuracy and speed, such as control systems, network devices, and automotive technologies. Leveraging 32/64-bit capability, the SCR4 core supports symmetric multiprocessing (SMP) with the added benefit of privilege modes and a comprehensive memory architecture, which includes both L1 and L2 caches. These features make it particularly attractive for developers seeking a core that enables high data throughput while maintaining a focus on power efficiency and area optimization. Syntacore has positioned the SCR4 as a go-to core for projects requiring both power and precision, supported by a development environment that is both intuitive and comprehensive. Its applicability across various industrial sectors underscores its versatility and the robustness of the RISC-V architecture that underpins it.
The Yuzhen 600 RFID Chip is engineered to provide exceptional performance in RFID applications, utilizing advanced technologies to enable efficient and accurate data capture and processing. This chip is designed for high-speed operations, ensuring that it can handle large volumes of RFID interactions seamlessly. With its robust architecture, the Yuzhen 600 is tailored for use in various environments, from supply chain management to secure access systems, delivering consistent and reliable performance. Its low power consumption and enhanced processing capabilities make it a valuable asset in optimizing RFID systems for better data management and operational efficiency.
The Rabbit 3000 processor stands out with its increased gate count of approximately 31,000, paired with a 128-pin architecture. Building on the foundation laid by the Rabbit 2000, this processor offers a balance between performance and functionality, catering to more complex design requirements. As part of Systemyde's robust lineup of synthesizable IP, the Rabbit 3000 is designed to bridge the gap between simplicity and enhanced feature sets. One of the key attributes of the Rabbit 3000 is its adaptability to various implementations, whether in FPGA or ASIC technologies. Its increased capabilities are ideal for applications requiring additional computational power or advanced interfacing options. The processor achieves a refined balance in design, ensuring swift processing, which is critical for performance-sensitive tasks. The Rabbit 3000 processor benefits from a comprehensive design package, including a synthesizable model, test benches, and an exhaustive test suite. This thorough approach to design verification ensures reliability and performance across diverse application landscapes, making it a valuable asset in Systemyde’s diverse microprocessor portfolio.
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 Y51 processor is designed around the classic 8051 Instruction Set Architecture, delivering enhanced performance with a 2-clock machine cycle. This processor marks a significant improvement over conventional implementations, aligning with modern processing needs while maintaining compatibility with 8051 infrastructures. The compact design of the Y51 ensures that it can be integrated into a wide range of applications, particularly where efficiency and speed are priorities. Its architecture allows for rapid data processing, making it a suitable candidate for systems that demand high-speed operations combined with the functional reliability of well-understood designs. Systemyde provides a comprehensive design and testing package for the Y51, which allows for seamless deployment across various platforms. The processor's ability to deliver consistent performance underpins its role in electronics that demand responsive and reliable processing power.
The NI Class RISC-V CPU IP caters to communication, video processing, and AI applications, providing a balanced architecture for intensive data handling and processing capabilities. With a focus on high efficiency and flexibility, this processor supports advanced data crunching and networking applications, ensuring that systems run smoothly and efficiently even when managing complex algorithms. The NI Class upholds Nuclei's commitment to providing versatile solutions in the evolving tech landscape.
Designed for integration within various industry systems, ARM M-Class based ASICs from ASIC North provide flexibility and versatility. These chips, built around the ARM Cortex-M architecture, are optimized for embedded applications, offering a balance of performance and power efficiency. They are particularly suited to IoT applications due to their robust performance metrics and modular design adaptability. ASIC North ensures that each ARM M-Class ASIC is thoroughly verified, delivering optimal reliability for deployment in complex environments.
The Origin E1 is a streamlined neural processing unit designed specifically for always-on applications in personal electronics and smart devices such as smartphones and security systems. This processor focuses on delivering highly efficient AI performance, achieving around 18 TOPS per watt. With its low power requirements, the E1 is ideally suited for tasks demanding continuous data sampling, such as camera operations in smart surveillance systems where it runs on less than 20mW of power. Its packet-based architecture ensures efficient resource utilization, maintaining high performance with lower power and area consumption. The E1's adaptability is enhanced through customizable options, allowing it to meet specific PPA requirements effectively, making it the go-to choice for applications seeking to improve user privacy and experience by minimizing external memory use.
The Rabbit 6000 is the most advanced microprocessor in Systemyde's Rabbit lineup, featuring an impressive gate count nearing 760,000 alongside a 292-pin configuration. This processor is tailored for high-end applications that demand peak performance levels, offering a comprehensive array of features and capabilities suitable for the most demanding of embedded system designs. Designed for versatility, the Rabbit 6000 excels in both FPGA and ASIC environments, supporting advanced data processing and intricate system interfacing. Its broader feature set is complemented by high reliability and efficiency, ensuring optimal performance in environments that require rigorous data management and processing power. Systemyde includes a full package of design support tools, including synthesizable models and detailed verification test benches, to ensure the delivery of a robust and reliable processor. This comprehensive approach to design and verification supports the Rabbit 6000's deployment in a wide array of applications, making it a cornerstone in modern embedded solutions.
The M8051EW expands upon the M8051W's impressive performance by incorporating on-chip debugging capabilities. This microcontroller core offers not only rapid execution but also integrates a JTAG debug port for compatibility with external debugging tools. Additionally, this core is designed with hardware breakpoints and instruction tracebacks, providing full read and write access across all register and memory locations. Such capabilities, together with its fast execution cycle, make it an ideal choice for designs requiring advanced debugging and real-time control.
The UX Class RISC-V CPU IP epitomizes Nuclei's commitment to potent processing solutions suited for data centers and network environments. Equipped with a 64-bit architecture with integrated MMU capabilities, it is tailored for embedding into Linux-operated systems that demand high operational efficiency and reliability. The UX Class supports extensive data handling and computational tasks, ensuring seamless performance even under the rigors of data-intensive environments.
The SCR5 application core by Syntacore is crafted for high-efficiency, Linux-capable applications, focusing on delivering a balance between robust performance and resource optimization. Its 9-stage in-order pipeline is augmented by an integrated Memory Management Unit (MMU), alongside L1 and L2 caches, enabling enhanced cache coherency—a critical requirement for applications that demand consistent data processing and management. This core is particularly attuned to industries such as artificial intelligence, machine learning, data centers, and mobile computing. Its seamless compatibility with SMP configurations, scaling up to 4 cores, ensures that even complex workloads can be handled efficiently without sacrificing operational efficiency or computational power. SCR5's adaptability and comprehensive support features make it an outstanding choice for developers aiming to craft high-performance applications. Syntacore's supplementary tools, including development kits and SDKs, provide a strong support ecosystem for leveraging the RISC-V architecture, empowering developers to innovate without constraints.
The Rabbit 2000 microprocessor is a compact yet powerful processor, featuring approximately 19,000 gates and a 100-pin configuration. It is a foundational component within Systemyde's suite of synthesizable IP offerings. As a versatile microprocessor, the Rabbit 2000 is designed for seamless compatibility with various technology and foundry options, ensuring adaptability in diverse design scenarios. With its comprehensive specifications and robust design, the Rabbit 2000 exemplifies Systemyde's commitment to high-quality IP development. This silicon-proven processor incorporates a range of functions that make it suitable for both FPGA and ASIC implementations. Given its optimized architecture, it performs efficient computations, making it ideal for applications requiring swift processing power. Additionally, it lays the groundwork for subsequent Rabbit microprocessors, which expand on its capabilities with enhanced features and configurations. The Rabbit 2000 benefits from Systemyde's extensive expertise in formulating high-performance, technology-independent solutions. Its adaptability is bolstered by a comprehensive suite of design packages, including a synthesizable model, test benches, and a detailed test suite for exhaustive verification. This ensures that the Rabbit 2000 is not only powerful but also reliable, supporting a wide array of embedded applications.
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