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 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.
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 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.
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.
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 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 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.
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.
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.
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 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 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 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 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 Neural Processing Unit (NPU) from OPENEDGES is geared towards advancing AI applications, providing a dedicated processing unit for neural network computations. Engineered to alleviate the computational load from CPUs and GPUs, this NPU optimizes AI workloads, enhancing deep learning tasks and inference processes. Capable of accelerating neural network inference, the NPU supports various machine learning frameworks and is compatible with industry-standard AI models. Its architecture focuses on delivering high throughput for deep learning operations while maintaining low power consumption, making it suitable for a range of applications from mobile devices to data centers. This NPU integrates seamlessly with existing AI frameworks, supporting scalability and flexibility in design. Its dedicated resource management ensures swift data processing and execution, thereby translating into superior AI performance and efficiency in multitude application scenarios.
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 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 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 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 SCR1 microcontroller core is designed for deeply embedded applications, providing an efficient and compact solution. It features a 4-stage in-order pipeline and supports 32-bit processing, making it suitable for applications requiring low power and space efficiency. The core's design is open-source, allowing for easy customization and adaptation to specific project requirements. Additionally, it integrates seamlessly with a variety of development environments and software tools, simplifying the development process and reducing deployment time.
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 SCR7 application core is built for high-performance computing environments, featuring a 12-stage dual-issue out-of-order pipeline. It supports both cache coherency and symmetric multiprocessing, with the capability to handle up to 8 cores. This core is tailored for applications that require robust data processing capabilities, such as those found in data centers and enterprise networks. Its architecture supports extensive multitasking and advanced memory management, making it a powerful addition to any high-demand computing environment.
Targeted at high-end applications, the SCR9 processor core boasts a 12-stage dual-issue out-of-order pipeline, adding vector processing units (VPUs) to manage intensive computational tasks. It offers hypervisor support, making it suitable for diverse enterprise-grade applications. Configured for up to 16 cores, it exhibits excellent memory management and cache coherency required for state-of-the-art computing platforms such as HPC, AI, and machine learning environments. This core embodies efficiency and performance, catering to industries that leverage high-throughput data processing.
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.
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.
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 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.
The Prodigy Universal Processor by Tachyum is a groundbreaking innovation in the realm of computing, marked as the world's first processor that merges General Purpose Computing, High-Performance Computing, Artificial Intelligence, and various other AI disciplines into a single compact chip. This processor promises to revolutionize hyperscale data centers with its unprecedented processing capabilities and efficiency, pushing the boundaries of current computational power. With its superior performance per watt, Prodigy minimizes energy consumption while maximizing data processing abilities. Offering up to 21 times higher performance compared to its contemporaries, Prodigy stands out by providing a coherent multiprocessor architecture that simplifies the programming environment. It aims to overcome challenges like high power use and server underutilization, which have long plagued modern data centers. By addressing these core issues, it allows enterprises to manage workloads more effectively and sustainably. Furthermore, Prodigy's emulation platform broadens the scope of testing and evaluation, enabling developers to optimize their applications for better performance and low power consumption. With native support for the Prodigy instruction set architecture, the processor seamlessly integrates existing software packages, promising a smooth transition and robust application support. Through the integration of this versatile processor, Tachyum is leading the charge toward a sustainable technological future.
The SiFive Essential family is designed to deliver high customization for processors across varying applications, from standalone MCUs to deeply embedded systems. This family of processor cores provides a versatile solution, meeting diverse market needs with an optimal combination of power, area, and performance. Within this lineup, users can tailor processors for specific market requirements, ranging from simple MCUs to fully-featured, Linux-capable designs. With features such as high configurability, SiFive Essential processors offer flexible design points, allowing scaling from basic 2-stage pipelines to advanced dual-issue superscalar configurations. This adaptability makes SiFive Essential suitable for a wide variety of use cases in microcontrollers, IoT devices, and control plane processing. Additionally, their innovation is proven by billions of units shipped worldwide, highlighting their reliability and versatility. The Essential cores also provide advanced integration options within SoCs, enabling smooth interface and optimized performance. This includes pre-integrated trace and debug features, ensuring efficient development and deployment in diverse applications.
The RISC-V Processor Core provides a foundation for developing customizable, open-standard applications, making it a popular choice for modern computing needs. Benefiting from the RISC-V architecture's flexibility, this core can be tailored to meet specific processing requirements across various embedded systems. Industries dealing with complex design challenges find this open standard not only cost-effective but also powerful in fostering innovation. Optimized for efficiency, the RISC-V Processor Core enables the execution of robust software environments and applications, supporting tasks ranging from simple control functions to more demanding compute-heavy operations. This versatility extends to the seamless integration of additional custom IPs, allowing designers to enhance functionality without performance trade-offs. In high-performance computing environments, the RISC-V Processor Core is praised for its energy-efficient computing capabilities and reduced power consumption, characteristics that are vital in creating sustainable and environmentally friendly tech solutions. Its adaptability into various system-on-chip (SoC) designs makes it integral to the development of a broad spectrum of devices, from consumer electronics to industrial automation systems.
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 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 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 xcore-200 chip from XMOS is a pivotal component for audio processing, delivering unrivaled performance for real-time, multichannel streaming applications. Tailored for professional and high-resolution consumer audio markets, xcore-200 facilitates complex audio processing with unparalleled precision and flexibility. This chip hosts XMOS's adept capabilities in deterministic and parallel processing, crucial for achieving zero-latency outputs in applications such as voice amplification systems, high-definition audio playback, and multipoint conferencing. Its architecture supports complex I/O operations, ensuring that all audio inputs and outputs are managed efficiently without sacrificing audio quality. The xcore-200 is crafted to handle large volumes of data effortlessly while maintaining the highest levels of integrity and clarity in audio outputs. It provides superior processing power to execute intensive tasks such as audio mixing, effects processing, and real-time equalization, crucial for both consumer electronics and professional audio gear. Moreover, xcore-200 supports a flexible integration into various systems, enhancing the functionality of audio interfaces, smart soundbars, and personalized audio solutions. It also sustains the robust performance demands needed in embedded AI implementations, thereby extending its utility beyond traditional audio systems. The xcore-200 is a testament to XMOS's dedication to pushing the boundaries of what's possible in audio engineering, blending high-end audio performance with cutting-edge processing power.
The RecAccel N3000 AI Inference Chip is specifically crafted for accelerating DLRM (Deep Learning Recommendation Model) workloads in data centers. This cutting-edge accelerator boasts the ability to perform one million DLRM inferences per joule of energy, showcasing its high power efficiency and sustainability. What truly sets the RecAccel apart is its ability to maintain top-tier inference accuracy, achieving INT8 DLRM accuracies close to that of FP32 at 99.97%. Power consumption efficiency stands at the heart of the RecAccel N3000's design philosophy, running models with minimal energy input, which is crucial for modern AI applications demanding sustainable infrastructure. Particularly in today's data-driven landscape, this chip's ability to sustain high recommendation inferences while minimizing power consumption addresses a critical challenge faced by many enterprises. Strategically developed for the AI inference landscape, the RecAccel N3000 aligns with Neuchips' vision of delivering solutions that not only drive performance but also emphasize environmental stewardship through energy-efficient technologies. Its role extends beyond product offerings, contributing significantly to Neuchips' reputation for innovation in AI-specific integrated circuits.
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.
The SCR4 microcontroller core enhances embedded processing with robust features tailored for demanding applications. This core is designed with a 5-stage in-order pipeline, privilege modes, and advanced support for floating-point units (FPUs). Accompanied by MPUs and comprehensive cache infrastructures, including L1 and L2 caches, it ensures high efficiency and performance. Its ability to handle both 32-bit and 64-bit SMP setups makes it versatile for various industries such as industrial control, IoT, and embedded network devices.
The NaviSoC is an advanced GNSS receiver integrated with an application processor on a single silicon die. It offers robust solutions with exceptional jamming and spoofing resistance, crafted for the mass market. This system-on-chip is known for its high levels of precision, security, and low power usage while maintaining a compact form factor. The NaviSoC system is designed to be highly flexible, allowing for extensive customization to meet diverse user needs. Its diverse application spectrum makes the NaviSoC suitable for location-based services (LBS), Internet of Things (IoT) applications, and detailed lane-level navigation systems. It is equally efficient in handling asset tracking operations and is instrumental in time synchronization tasks. Moreover, the NaviSoC finds significant utility in emerging sectors like UAV and autonomous drones, providing smart platforms for agriculture and comprehensive surveying and mapping activities. What sets the NaviSoC apart is its ability to deliver high reliability and security in demanding environments, ensuring optimal performance regardless of application. Its small size paired with low power requirements makes it an ideal choice for portable and mobile devices, providing a robust platform for developers seeking versatile and powerful GNSS functionalities.
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.
A robust platform offering a full spectrum of ARM Cortex-M microprocessors, perfect for integration across a broad scope of systems. These ASICs are finely tuned to accommodate various applications, demonstrating commendable performance in areas such as IoT, industrial automation, and consumer electronics. Known for their reliability and scalability, these ASICs enhance system capabilities by providing customizable features that match exclusive client criteria.
The Origin E1 is a compact yet powerful neural processing unit (NPU) designed for low-power applications in home appliances, smartphones, and security cameras. Specially tailored for always-on functions, the E1 offers unmatched power efficiency by utilizing Expedera's innovative packet-based architecture. This allows it to execute multiple layers in parallel, ensuring the optimal balance of performance and resource utilization. Engineered to operate with minimal to no external memory, the Origin E1 is ideal for cost-effective and area-sensitive designs. The LittleNPU processor within it is fine-tuned for sophisticated neural networks needed in always-sensing applications, maintaining privacy by keeping data on-board. This makes the E1 a robust choice for devices requiring dedicated AI processing without the penalty of high power consumption or large silicon area. In terms of technical specifications, the Origin E1 boasts a performance efficiency of up to 18 TOPS per Watt, with the capability to run various network types such as CNNs, RNNs, and DNNs. Its adaptability allows clients to customize features to meet specific needs, guaranteeing efficient deployments across numerous devices. The E1 leverages a full TVM-based software stack for seamless integration, further endorsing its versatility and effectiveness.
The Yuzhen 600 RFID Chip by T-Head Semiconductor plays a pivotal role in supply chain management and logistics by revolutionizing the way businesses track and manage their inventory. Designed to operate in high-frequency RFID systems, this chip offers superior read range capabilities, making it a preferred choice for extensive applications in retail and asset management operations. Its architecture benefits from T-Head's advanced signal processing capabilities, enabling it to handle complex data exchanges seamlessly. This facilitates smoother interactions between RFID tags and readers, thereby optimizing inventory management and reducing time lags in data retrieval processes. The versatility of the Yuzhen 600 allows it to be implemented across diverse environments, from warehouse storage to retail store checkouts. Furthermore, the Yuzhen 600 supports a range of protocols that ensure compatibility with existing RFID systems worldwide, making it an essential component for scalable global logistics solutions. This chip enhances operational efficiency by providing real-time data access, thus aligning with T-Head's commitment to innovative solutions that bolster digital transformation efforts across different sectors.
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 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 Rabbit 4000 processor by Systemyde represents a significant leap in their microprocessor lineup, featuring a substantial gate increase to 161,000 and maintaining a 128-pin configuration. This processor not only enhances the computational capabilities but also introduces advanced features that cater to intricate design requirements and applications. With its silicon-proven reliability, the Rabbit 4000 is ideally suited for applications demanding high processing power and robust interfacing. It maintains compatibility with various foundry and technology options, ensuring flexibility and resilience in diverse technological landscapes. The Rabbit 4000's architecture is designed to provide efficient power usage while maximizing performance, making it suitable for high-demand environments. The processor comes with a complete set of design tools, including a synthesizable model and comprehensive test benches. This ensures each microprocessor unit operates reliably under strict verification protocols. The Rabbit 4000's ability to handle complex tasks makes it a quintessential part of Systemyde’s offerings, contributing to the development of robust and future-ready embedded systems.
The SEMIFIVE AIoT Platform is designed to seamlessly integrate artificial intelligence and IoT functionalities into a single custom silicon framework. This platform offers a comprehensive ecosystem that supports smart device manufacturing and deployment by leveraging pre-verified IP cores tailored for AIoT applications. By employing advanced design methodologies, the platform provides extensive connectivity options and adaptable processing cores suited for edge computing. This facilitates real-time data processing and decision-making at the device level, enhancing the efficiency and responsiveness of AIoT systems. With its robust framework, the platform minimizes design complexity and accelerates product development cycles, allowing industries to swiftly innovate within the AIoT space. Its scalable architecture supports a wide range of AIoT applications, ensuring interoperability and seamless operation across diverse technology environments.
Nuclei's U Class RISC-V CPU IP represents a versatile computing solution engineered to handle complex processing tasks. With a 32-bit architecture augmented by a Memory Management Unit (MMU), this class is optimized for Linux environments and excels in edge computing applications. Featuring extensive configuration options, the U Class processor ensures adaptability to varied computing demands, facilitating efficient task execution across diverse scenarios.
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