All IPs > Processor > IoT Processor
The "IoT Processor" category in our Silicon Hub catalog features a range of semiconductor IPs specifically engineered for the Internet of Things (IoT) landscape. These IPs play a critical role in enabling smart connectivity, control, and data processing in IoT devices. Leveraging cutting-edge technology, IoT processors are designed to meet the unique demands of interconnected smart devices, balancing the need for powerful performance with energy efficiency and seamless connectivity.
IoT processors are central to a wide array of applications, from smart homes and industrial IoT to wearables and smart cities. In smart homes, IoT processors enable devices to interact seamlessly, allowing for automated lighting, climate control, and security systems. In industrial settings, they facilitate real-time monitoring and analytics, improving operational efficiency and safety. The compact and efficient designs of these processors also make them ideal for wearables, where power consumption and size are critical factors.
The semiconductor IPs available in this category support a variety of architectures and computing needs, providing flexibility in design and application. They incorporate advanced features such as multi-core processing, integrated connectivity solutions like Wi-Fi and Bluetooth, and robust security protocols to protect sensitive data. These processors are optimized to handle the challenges of IoT environments, offering low latency and the ability to process data locally, reducing the dependency on cloud computing and enhancing response times.
Furthermore, the "IoT Processor" category emphasizes sustainability by offering IPs that reduce energy consumption while maintaining high performance levels. This makes them vital components in developing sustainable IoT solutions that are both environmentally friendly and economically viable. As IoT technology continues to evolve, the processors in this category will enable innovation, drive market growth, and fulfill the increasing demands of a connected world.
The second-generation Akida platform builds upon the foundation of its predecessor with enhanced computational capabilities and increased flexibility for a broader range of AI and machine learning applications. This version supports 8-bit weights and activations in addition to the flexible 4- and 1-bit operations, making it a versatile solution for high-performance AI tasks. Akida 2 introduces support for programmable activation functions and skip connections, further enhancing the efficiency of neural network operations. These capabilities are particularly advantageous for implementing sophisticated machine learning models that require complex, interconnected processing layers. The platform also features support for Spatio-Temporal and Temporal Event-Based Neural Networks, advancing its application in real-time, on-device AI scenarios. Built as a silicon-proven, fully digital neuromorphic solution, Akida 2 is designed to integrate seamlessly with various microcontrollers and application processors. Its highly configurable architecture offers post-silicon flexibility, making it an ideal choice for developers looking to tailor AI processing to specific application needs. Whether for low-latency video processing, real-time sensor data analysis, or interactive voice recognition, Akida 2 provides a robust platform for next-generation AI developments.
The Akida IP is a groundbreaking neural processor designed to emulate the cognitive functions of the human brain within a compact and energy-efficient architecture. This processor is specifically built for edge computing applications, providing real-time AI processing for vision, audio, and sensor fusion tasks. The scalable neural fabric, ranging from 1 to 128 nodes, features on-chip learning capabilities, allowing devices to adapt and learn from new data with minimal external inputs, enhancing privacy and security by keeping data processing localized. Akida's unique design supports 4-, 2-, and 1-bit weight and activation operations, maximizing computational efficiency while minimizing power consumption. This flexibility in configuration, combined with a fully digital neuromorphic implementation, ensures a cost-effective and predictable design process. Akida is also equipped with event-based acceleration, drastically reducing the demands on the host CPU by facilitating efficient data handling and processing directly within the sensor network. Additionally, Akida's on-chip learning supports incremental learning techniques like one-shot and few-shot learning, making it ideal for applications that require quick adaptation to new data. These features collectively support a broad spectrum of intelligent computing tasks, including object detection and signal processing, all performed at the edge, thus eliminating the need for constant cloud connectivity.
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 AI Camera Module from Altek is a versatile, high-performance component designed to meet the increasing demand for smart vision solutions. This module features a rich integration of imaging lens design and combines both hardware and software capacities to create a seamless operational experience. Its design is reinforced by Altek's deep collaboration with leading global brands, ensuring a top-tier product capable of handling diverse market requirements. Equipped to cater to AI and IoT interplays, the module delivers outstanding capabilities that align with the expectations for high-resolution imaging, making it suitable for edge computing applications. The AI Camera Module ensures that end-user diversity is meaningfully addressed, offering customization in device functionality which supports advanced processing requirements such as 2K and 4K video quality. This module showcases Altek's prowess in providing comprehensive, all-in-one camera solutions which leverage sophisticated imaging and rapid processing to handle challenging conditions and demands. The AI Camera's technical blueprint supports complex AI algorithms, enhancing not just image quality but also the device's interactive capacity through facial recognition and image tracking technology.
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.
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.
Micro Magic's Ultra-Low-Power 64-Bit RISC-V Core is engineered for superior energy efficiency, consuming a mere 10mW while operating at a clock speed of 1GHz. This processor core is designed to excel under low voltage conditions, delivering high performance without compromising on power conservation. It is ideal for applications requiring prolonged battery life or those operating in energy-sensitive environments. This processor integrates Micro Magic's advanced design methodologies, allowing for operation at frequencies up to 5GHz when necessary. The RISC-V Core capabilities are enhanced by solid construction, ensuring reliability and robust performance across various use-cases, making it an adaptable solution for modern electronic designs. With its cutting-edge design, this RISC-V core supports rapid deployment in numerous applications, especially in areas demanding high computational power alongside reduced energy usage. Micro Magic's advanced techniques ensure that this core is not only fast but also supports scalable integration into various systems with ease.
The AX45MP is engineered as a high-performance processor that supports multicore architecture and advanced data processing capabilities, particularly suitable for applications requiring extensive computational efficiency. Powered by the AndesCore processor line, it capitalizes on a multicore symmetric multiprocessing framework, integrating up to eight cores with robust L2 cache management. The AX45MP incorporates advanced features such as vector processing capabilities and support for MemBoost technology to maximize data throughput. It caters to high-demand applications including machine learning, digital signal processing, and complex algorithmic computations, ensuring data coherence and efficient power usage.
The Hanguang 800 AI Accelerator is a high-performance AI processor developed to meet the complex demands of artificial intelligence workloads. This accelerator is engineered with cutting-edge AI processing capabilities, enabling rapid data analysis and machine learning model inference. Designed for flexibility, the Hanguang 800 delivers superior computation speed and energy efficiency, making it an optimal choice for AI applications in a variety of sectors, from data centers to edge computing. By supporting high-volume data throughput, it enables organizations to achieve significant advantages in speed and efficiency, facilitating the deployment of intelligent solutions.
The RISC-V Core-hub Generators from InCore are tailored for developers who need advanced control over their core architectures. This innovative tool enables users to configure core-hubs precisely at the instruction set and microarchitecture levels, allowing for optimized design and functionality. The platform supports diverse industry applications by facilitating the seamless creation of scalable and customizable RISC-V cores. With the RISC-V Core-hub Generators, InCore empowers users to craft their own processor solutions from the ground up. This flexibility is pivotal for businesses looking to capitalize on the burgeoning RISC-V ecosystem, providing a pathway to innovation with reduced risk and cost. Incorporating feedback from leading industry partners, these generators are designed to lower verification costs while accelerating time-to-market for new designs. Users benefit from InCore's robust support infrastructure and a commitment to simplifying complex chip design processes. This product is particularly beneficial for organizations aiming to integrate RISC-V technology efficiently into their existing systems, ensuring compatibility and enhancing functionality through intelligent automation and state-of-the-art tools.
The KL520 marks Kneron's foray into the edge AI landscape, offering an impressive combination of size, power efficiency, and performance. Armed with dual ARM Cortex M4 processors, this chip can operate independently or as a co-processor to enable AI functionalities such as smart locks and security monitoring. The KL520 is adept at 3D sensor integration, making it an excellent choice for applications in smart home ecosystems. Its compact design allows devices powered by it to operate on minimal power, such as running on AA batteries for extended periods, showcasing its exceptional power management capabilities.
The KL530 represents a significant advancement in AI chip technology with a new NPU architecture optimized for both INT4 precision and transformer networks. This SOC is engineered to provide high processing efficiency and low power consumption, making it suitable for AIoT applications and other innovative scenarios. It features an ARM Cortex M4 CPU designed for low-power operation and offers a robust computational power of up to 1 TOPS. The chip's ISP enhances image quality, while its codec ensures efficient multimedia compression. Notably, the chip's cold start time is under 500 ms with an average power draw of less than 500 mW, establishing it as a leader in energy efficiency.
The NMP-750 is AiM Future's powerful edge computing accelerator designed specifically for high-performance tasks. With up to 16 TOPS of computational throughput, this accelerator is perfect for automotive, AMRs, UAVs, as well as AR/VR applications. Fitted with up to 16 MB of local memory and featuring RISC-V or Arm Cortex-R/A 32-bit CPUs, it supports diverse data processing requirements crucial for modern technological solutions. The versatility of the NMP-750 is displayed in its ability to manage complex processes such as multi-camera stream processing and spectral efficiency management. It is also an apt choice for applications that require energy management and building automation, demonstrating exceptional potential in smart city and industrial setups. With its robust architecture, the NMP-750 ensures seamless integration into systems that need to handle large data volumes and support high-speed data transmission. This makes it ideal for applications in telecommunications and security where infrastructure resilience is paramount.
The N Class RISC-V CPU IP from Nuclei is tailored for applications where space efficiency and power conservation are paramount. It features a 32-bit architecture and is highly suited for microcontroller applications within the AIoT realm. The N Class processors are crafted to provide robust processing capabilities while maintaining a minimal footprint, making them ideal candidates for devices that require efficient power management and secure operations. By adhering to the open RISC-V standard, Nuclei ensures that these processors can be seamlessly integrated into various solutions, offering customizable options to fit specific system requirements.
The 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 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.
Bluespec's Portable RISC-V Cores are designed to bring flexibility and extended functionality to FPGA platforms such as Achronix, Xilinx, Lattice, and Microsemi. They offer support for operating systems like Linux and FreeRTOS, making them versatile for various applications. These cores are accompanied by standard open-source development tools, which facilitate seamless integration and development processes. By utilizing these tools, developers can modify and enhance the cores to suit their specific needs, ensuring a custom fit for their projects. The portable cores are an excellent choice for developers looking to deploy RISC-V architecture across different FPGA platforms without being tied down to proprietary solutions. With Bluespec's focus on open-source, users can experience freedom in innovation and development without sacrificing performance or compatibility.
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.
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 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 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.
NeuroMosAIc Studio serves as a comprehensive software platform that simplifies the process of developing and deploying AI models. Designed to optimize edge AI applications, this platform assists users through model conversion, mapping, and simulation, ensuring optimal use of resources and efficiency. It offers capabilities like network quantization and compression, allowing developers to push the limits in terms of performance while maintaining compact model sizes. The studio also supports precision adjustments, providing deep insights into hardware optimization, and aiding in the generation of precise outputs tailored to specific application needs. AiM Future's NeuroMosAIc Studio boosts the efficiency of training stages and quantization, ultimately facilitating the delivery of high-quality AI solutions for both existing and emerging technologies. It's an indispensable tool for those looking to enhance AI capabilities in embedded systems without compromising on power or performance.
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 RISCV SoC developed by Dyumnin Semiconductors is engineered with a 64-bit quad-core server-class RISCV CPU, aiming to bridge various application needs with an integrated, holistic system design. Each subsystem of this SoC, from AI/ML capabilities to automotive and multimedia functionalities, is constructed to deliver optimal performance and streamlined operations. Designed as a reference model, this SoC enables quick adaptation and deployment, significantly reducing the time-to-market for clients. The AI Accelerator subsystem enhances AI operations with its collaboration of a custom central processing unit, intertwined with a specialized tensor flow unit. In the multimedia domain, the SoC boasts integration capabilities for HDMI, Display Port, MIPI, and other advanced graphic and audio technologies, ensuring versatile application across various multimedia requirements. Memory handling is another strength of this SoC, with support for protocols ranging from DDR and MMC to more advanced interfaces like ONFI and SD/SDIO, ensuring seamless connectivity with a wide array of memory modules. Moreover, the communication subsystem encompasses a broad spectrum of connectivity protocols, including PCIe, Ethernet, USB, and SPI, crafting an all-rounded solution for modern communication challenges. The automotive subsystem, offering CAN and CAN-FD protocols, further extends its utility into automotive connectivity.
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 RFicient chip is designed for the Internet of Things (IoT) applications, famously recognized for its ultra-low-power operations. It aims to innovate the IoT landscape by offering a highly efficient receiver technology that significantly reduces power consumption. This chip supports energy harvesting to ensure sustainable operation and contributes to green IoT development by lessening the dependency on traditional power sources. Functionally, the RFicient chip enhances IoT devices' performance by providing cutting-edge reception capabilities, which allow for the consistent and reliable transmission of data across varied environments. This robustness makes it ideal for applications in industrial IoT settings, including smart cities and agricultural monitoring, where data integrity and longevity are crucial. Technically advanced, the RFicient chip's architecture employs intelligent design strategies that leverage low-latency responses in data processing, making it responsive and adaptable to rapid changes in its operational environment. These characteristics position it as a versatile solution for businesses aiming to deploy IoT networks with minimal environmental footprint and extended operational lifespan.
The silicon IP Platform for Low-Power IoT by Low Power Futures integrates pre-validated, configurable building blocks tailored for IoT device creation. It provides a turnkey solution to accelerate product development, incorporating options to employ both ARM and RISC V processors. With a focus on reducing energy consumption, the platform is prepared for various applications, ensuring a seamless transition for products from conception to market. The platform is crucial for developing smart IoT solutions that require secure and reliable wireless communications across industries like healthcare, smart home, and industrial automation.
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.
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.
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.
XMOS's xcore-200 is an advanced processor that excels in delivering multichannel audio processing and low-latency performance. Designed to support complex audio and voice processing requirements, it provides developers with the ability to integrate high-quality audio functionalities into their products. The xcore-200's architecture is engineered to allow precise control and processing capabilities, making it ideal for applications in consumer electronics and professional audio equipment. With an emphasis on reducing development time and enhancing product capabilities, the xcore-200 offers an adaptable solution equipped with an array of input and output options to meet diverse processing needs. Its powerful DSP capabilities ensure efficient processing of audio signals, enabling smoother, more reliable audio experiences for end-users. Moreover, the xcore-200 is optimized for power efficiency, supporting a range of applications without significant energy expenditure. The xcore-200 facilitates seamless integration with other technologies, making it a versatile choice for developers who need flexibility in their design process. Whether it's embedded AI functionalities or advanced audio processing demands, the xcore-200 provides a comprehensive platform for building sophisticated digital audio systems. Its capacity to manage multiple processing tasks concurrently ensures that products powered by this processor deliver robust and high-performance outcomes.
The TSP1 is an innovative neural network accelerator chip developed by ABR, designed to advance AI capabilities in battery-powered devices. It supports sophisticated applications such as natural voice interfaces and biosignal classification, demonstrating efficient data handling and low power consumption. This chip is engineered to process sensor signals robustly and independently, which enables highly efficient, state-space networks suitable for diverse applications. Benefiting from ABR's pioneering Legendre Memory Unit (LMU) state-space model, the TSP1 represents a new frontier in data processing efficiency, boasting remarkable power savings. This AI chip is tailored for edge computing contexts, proving itself ideal for applications like AR/VR, wearable technology, and smart home setups. With the TSP1, users can expect quick AI inference times, around 20 milliseconds, while maintaining secure on-chip storage and offering interfaces for multi-sensor inputs. The powerful combination of state-space networks and custom-tailored hardware optimization ensures the TSP1 leads in both scalability for large AI models and energy-aware performance for various sectors, including IoT and industrial applications.
SEMIFIVE’s AIoT Platform targets smart environmental ecosystems, offering convergence of AI capabilities with IoT frameworks. This platform enhances connectivity and intelligence in next-generation smart devices and facilities, integrating edge computing and AI capabilities to enable intelligent data processing and real-time action. The AIoT platform is equipped with multi-core processing capabilities, providing energy-efficient solutions suited for edge environments. This facilitates distributed AI computations right where data is generated, significantly improving response times and reducing backhaul costs compared to traditional centralized models. Designed to support a wide range of devices and systems, the platform allows developers to build solutions that are scalable and adaptable to various IoT applications. It provides comprehensive hardware-software co-design solutions, simplifying the development process for applications like smart homes, industrial IoT systems, and intelligent transportation networks.
ARC Processor IP from Synopsys is engineered to deliver high performance and superior energy efficiency for embedded applications. It comprises a customizable architecture, allowing developers to tailor it for specific application needs while maintaining low power consumption. Ideal for IoT, automotive, and high-performance computing applications, this processor IP emphasizes scalability and flexibility, enabling the creation of sophisticated system designs tailored to unique industry requirements.
TimbreAI T3 addresses audio processing needs by embedding AI in sound-based applications, particularly suitable for power-constrained devices like wireless headsets. It's engineered for exceptional power efficiency, requiring less than 300 µW to operate while maintaining a performance capacity of 3.2 GOPS. This AI inference engine simplifies deployment by never necessitating changes to existing trained models, thus preserving accuracy and efficiency. The TimbreAI T3's architecture ensures that it handles noise reduction seamlessly, offering core audio neural network support. This capability is complemented by its flexible software stack, further reinforcing its strength as a low-power, high-functionality solution for state-of-the-art audio applications.
The Y8002 is a processor that replicates the functionalities of a well-known Zilog chip, consisting of approximately 15,000 gates. This processor serves as an efficient solution for applications that rely on Zilog architecture, providing a drop-in replacement or the foundation for new designs requiring these familiar instructions. Integrating the Y8002 into a system allows for the seamless transition from legacy to modern technological environments, preserving investments in existing infrastructure while leveraging performance improvements inherent in Systemyde's designs. Its silicon-proven status ensures that it meets industrial reliability standards, further endorsing its application in mission-critical environments. Systemyde supports the Y8002 with an extensive array of design resources, ensuring that each deployment is well-verified and reliable, contributing positively to the development of robust embedded systems that demand legacy compatibility and forward-facing performance.
Engineered for top-tier AI applications, the Origin E8 excels in delivering high-caliber neural processing for industries spanning from automotive solutions to complex data center implementations. The E8's design supports singular core performance up to 128 TOPS, while its adaptive architecture allows easy multi-core scalability to exceed PetaOps. This architecture eradicates common performance bottlenecks associated with tiling, delivering robust throughput without unnecessary power or area compromises. With an impressive suite of features, the E8 facilitates remarkable computational capacity, ensuring that even the most intricate AI networks function smoothly. This high-performance capability, combined with its relatively low power usage, positions the E8 as a leader in AI processing technologies where high efficiency and reliability are imperative.
The Y180S, with approximately 10,000 gates, is an advanced iteration of the Y180, designed for applications requiring a safe-state operation. It retains full compatibility with the Zilog Z180 CPU architecture while integrating additional features that support enhanced reliability and operational safety. This processor is particularly suitable for systems where robust error handling and fault tolerance are paramount, seamlessly fitting into environments that demand high reliability. Its architecture facilitates integration into existing infrastructures, maintaining alignment with Z180-compatible systems while offering improved safety mechanisms. Accompanied by a full suite of design support, the Y180S allows developers to achieve stringent operational goals while advancing the performance and reliability expected from Systemyde’s microprocessor series. Its combination of legacy architecture and modern enhancements positions the Y180S as a versatile choice for critical applications.
Domain-Specific RISC-V Cores from Bluespec provide targeted acceleration for specific application areas by packaging accelerators as software threads. This approach enables developers to achieve systematic hardware acceleration, improving the performance of applications that demand high computational power. These cores are designed to support scalable concurrency, which means they can efficiently handle multiple operations simultaneously, making them ideal for complex scenarios that require high throughput and low latency. The ease of scalability ensures that developers can rapidly adapt their designs to meet evolving demands without extensive redesign. Bluespec’s domain-specific cores are well-suited for specialized markets where performance and efficiency can make a significant impact. By providing a robust platform for acceleration, Bluespec empowers developers to create competitive and rapidly deployable solutions.
The Y90 processor is a high-performance microprocessor implementation of the Zilog Z180 architecture, featuring gate configurations of either 10,000 or 17,000. It enhances the traditional Z180 CPU capabilities through superior design adjustments to achieve improved processing performance. Designed for systems requiring rapid and efficient instruction execution, the Y90 is ideal for use in applications where high throughput and speedy data handling are critical. Its versatile architecture supports a wide range of technological environments, from legacy systems needing upgrades to modern platforms seeking reliable processing solutions. Backed by Systemyde's extensive design toolset, the Y90 includes a synthesizable model and rigorous verification processes that ensure operational reliability across diverse implementations. Its high-performance attributes and compatibility make it an excellent choice for systems demanding quick and dependable microprocessor functions.
The Origin E2 NPU cores offer a balanced solution for AI inference by optimizing for both power and area without compromising performance. These cores are expertly crafted to save system power in devices such as smartphones and edge nodes. Their design supports a wide variety of networks, including RNNs and CNNs, catering to the dynamic demands of consumer and industrial applications. With customizable performance ranging from 1 to 20 TOPS, they are adept at handling various AI-driven tasks while reducing latency. The E2 architecture is ingeniously configured to enable parallel processing, affording high resource utilization that minimizes memory demands and system overhead. This results in a flexible NPU architecture that serves as a reliable backbone for deploying efficient AI models across different platforms.
The S9 microSD and SD Controller from Hyperstone is designed to deliver high reliability and flexibility in demanding industrial environments. Developed with a deep understanding of NAND flash's operational demands, the controller integrates hyReliability™ and hyMap® technologies to provide superior data management and protection. Focusing on security, the S9 controller is available in specialized variants that include advanced security features designed to meet specific industrial requirements. This security-centric design ensures that the controller can provide robust protection for sensitive data, making it suitable for applications requiring data integrity and protection. Additionally, the controller supports a wide range of interfaces up to the SD 7.1 standard, ensuring compatibility with the latest storage demands. The turnkey nature of the controller, together with its flexibility and support for custom firmware extensions, makes it an attractive choice for various SD card-based applications in industrial settings.
Specialty Microcontrollers from Advanced Silicon harness the capabilities of the latest RISC-V architectures for advanced processing tasks. These microcontrollers are particularly suited to applications involving image processing, thanks to built-in coprocessing units that enhance their algorithm execution efficiency. They serve as ideal platforms for sophisticated touch screen interfaces, offering a balance of high performance, reliability, and low power consumption. The integrated features allow for the enhancement of complex user interfaces and their interaction with other system components to improve overall system functionality and user experience.
The Wireless Baseband IP from Low Power Futures is designed to optimize ultra-low-power consumption while minimizing footprint and code size. It includes a comprehensive configuration of baseband processor hardware IP, link layer, or medium access control layer firmware, built specifically for IoT applications including beacons, smart sensors, connected audio, and more. The IP offers easy integration into systems on a chip (SoC) and has been fully validated on an FPGA platform to ensure standards compliance and ease of use for developers. Built-in security features further enhance its suitability for secure IoT device deployments.
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