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 2nd Generation Akida processor introduces groundbreaking enhancements to BrainChip's neuromorphic processing platform, particularly ideal for intricate network models. It integrates eight-bit weight and activation support, improving energy efficiency and computational performance without enlarging model size. By supporting an extensive application set, Akida 2nd Generation addresses diverse Edge AI needs untethered from cloud dependencies. Notably, Akida 2nd Generation incorporates Temporal Event-Based Neural Nets (TENNs) and Vision Transformers, facilitating robust tracking through high-speed vision and audio processing. Its built-in support for on-chip learning further optimizes AI efficiency by reducing reliance on cloud training. This versatile processor fits perfectly for spatio-temporal applications across industrial, automotive, and healthcare sectors. Developers gain from its Configurable IP Platform, which allows seamless scalability across multiple use cases. The Akida ecosystem, including MetaTF, offers developers a strong foundation for integrating cutting-edge AI capabilities into Edge systems, ensuring secure and private data processing.
The NMP-750 is designed as a cutting-edge performance accelerator for edge computing, tailored to address challenges in sectors like automotive, telecommunications, and smart factories. This product offers ample support for mobility, autonomous control, and process automation, setting a benchmark in high-performance computing for varied applications. With a processing power of up to 16 TOPS and 16 MB of local memory, it supports RISC-V/Arm Cortex-R or A 32-bit CPUs for substantial computational tasks. Its architecture supports a rich set of applications, including multi-camera stream processing and energy management, enabled through its AXI4 128-bit interfaces that manage extensive data traffic efficiently. This accelerator is particularly suited for complex scenarios such as spectral efficiency and smart building management, offering unparalleled performance capabilities. Designed for scalability and reliability, the NMP-750 reaches beyond traditional computing barriers, ensuring outstanding performance in real-time applications and next-gen technology deployments.
The NMP-350 is specifically designed to serve as a cost-effective endpoint accelerator with a strong emphasis on low power consumption, making it ideal for various applications in AIoT, automotive, and smart appliances. This product is equipped with a robust architecture to facilitate myriad applications, such as driver authentication, digital mirrors, and predictive maintenance, while ensuring efficient resource management. Capable of delivering up to 1 TOPS, the NMP-350 integrates up to 1 MB of local memory, supporting RISC-V/Arm Cortex-M 32-bit CPU cores. It utilizes a triple AXI4 interface, each with a capacity of 128 bits, to manage host, CPU, and data traffic seamlessly. This architecture supports a host of applications in wearables, Industry 4.0, and health monitoring, adding significant value to futuristic technology solutions. Strategically targeting markets like AIoT/sensors and smart appliances, the NMP-350 positions itself as a favored choice for developing low-cost, power-sensitive device solutions. As industries gravitate toward energy-efficient technologies, products like NMP-350 offer a competitive edge in facilitating smart, green development processes.
Akida IP stands as an advanced neuromorphic processor, emulating brain-like processing to efficiently handle sensor inputs at acquisition points. This digital processor offers superior performance, precision, and significant reductions in power usage. By facilitating localized AI/ML tasks, it decreases latency and enhances data privacy. Akida IP is built to infer and learn at the edge, offering highly customizable, event-based neural processing. The architecture of Akida IP is scalable and compact, supporting an extensive mesh network connection of up to 256 nodes. Each node includes four Neural Network Layer Engines (NPEs), configurable for convolutional and fully connected processes. By leveraging data sparsity, Akida optimizes operation reduction, making it a cost-effective solution for various edge AI applications. Including MetaTF support for model simulations, Akida IP brings a fully synthesizable RTL IP package compatible with standard EDA tools, emphasizing ease of integration and deployment. This enables developers to swiftly design, develop, and implement custom AI solutions with robust security and privacy protection.
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 RV12 is a flexible RISC-V CPU designed for embedded applications. It stands as a single-core processor, compatible with RV32I and RV64I architectures, offering a configurable solution that adheres to the industry-standard RISC-V instruction set. The processor's Harvard architecture supports concurrent instruction and data memory accesses, optimizing its operation for a wide array of embedded tasks.
The NMP-550 stands out as a performance-focused accelerator catered towards applications necessitating high efficiency, especially in demanding fields such as automotive, drones, and AR/VR. This technology caters to various application needs, including driver monitoring, image/video analytics, and heightened security measures through its powerful architecture and processing capability. Boasting a significant computation potential of up to 6 TOPS, the NMP-550 includes up to 6 MB of local memory. Featuring RISC-V/Arm Cortex-M or A 32-bit CPUs, the product ensures robust processing for advanced applications. The triple AXI4 interface provides a seamless 128-bit data exchange across hosts, CPUs, and data channels, magnifying flexibility for technology integrators. Ideal for medical devices, this product also expands its utility into security and surveillance, supporting crucial processes like super-resolution and fleet management. Its comprehensive design and efficiency make it an optimal choice for applications demanding elevated performance within constrained resources.
The xcore.ai platform by XMOS Semiconductor is a sophisticated and cost-effective solution aimed specifically at intelligent IoT applications. Harnessing a unique multi-threaded micro-architecture, xcore.ai provides superior low latency and highly predictable performance, tailored for diverse industrial needs. It is equipped with 16 logical cores divided across two multi-threaded processing tiles. These tiles come enhanced with 512 kB of SRAM and a vector unit supporting both integer and floating-point operations, allowing it to process both simple and complex computational demands efficiently. A key feature of the xcore.ai platform is its powerful interprocessor communication infrastructure, which enables seamless high-speed communication between processors, facilitating ultimate scalability across multiple systems on a chip. Within this homogeneous environment, developers can comfortably integrate DSP, AI/ML, control, and I/O functionalities, allowing the device to adapt to specific application requirements efficiently. Moreover, the software-defined architecture allows optimal configuration, reducing power consumption and achieving cost-effective intelligent solutions. The xcore.ai platform shows impressive DSP capabilities, thanks to its scalar pipeline that achieves up to 32-bit floating-point operations and peak performance rates of up to 1600 MFLOPS. AI/ML capabilities are also robust, with support for various bit vector operations, making the platform a strong contender for AI applications requiring homogeneous computing environments and exceptional operator integration.
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 Low Power RISC-V CPU IP from SkyeChip is crafted to deliver efficient computation with minimal power consumption. Featuring the RISC-V RV32 instruction set, it supports a range of functions with full standard compliance for instruction sets and partial support where necessary. Designed exclusively for machine mode, it incorporates multiple vectorized interrupts and includes comprehensive debugging capabilities. This CPU IP is well-suited for integration into embedded systems where power efficiency and processing capability are crucial.
The SiFive Essential family embodies a customizable range of processor cores, designed to fulfill various market-specific requirements. From small microcontroller units (MCUs) to more complex 64-bit processors capable of running operating systems, the Essential series provides flexibility in design and functionality. These processors support a diverse set of applications including IoT devices, real-time controls, and control plane processing. They offer scalable performance through sophisticated pipeline architectures, catering to both embedded and rich-OS environments. The Essential series offers advanced configurations which can be tailored to optimize for power and area footprint, making it suitable for devices where space and energy are limited. This aligns well with the needs of edge devices and other applications where efficiency and performance must meet in a balanced manner.
Optimized for high-performance tasks, the SCR7 Application Core is a 64-bit RISC-V processor with robust Linux capability. Tailored for powerful data-intensive applications, this core features a 12-stage out-of-order pipeline and supports vector operations, making it ideal for AI, ML, and high-performance computing applications. It integrates seamlessly with multicore environments, offering comprehensive memory management and high-level interrupt systems, facilitated by standard interfaces for broad compatibility.
The SCR6 Microcontroller Core offers a high degree of computational power and is designed for RTOS-based embedded applications that demand efficiency and precision. With a rich feature set including vector operations and superscalar execution, it supports diverse market needs such as industrial automation, sensor fusion, and automotive technology. Its robust design supports up to 8 cores per cluster, providing extensive memory coherency and external accelerators integration to optimize processing capabilities.
The Spiking Neural Processor T1 by Innatera is a revolutionary microcontroller designed to handle sensory processing with extreme efficiency. This processor is specifically crafted to operate at ultra-low power levels, below 1 milliwatt, yet it delivers exceptional performance in pattern recognition tasks right at the sensor edge. Utilizing a neuromorphic architecture, it processes sensor data in real time to identify patterns such as audio signals or movements, significantly outperforming traditional processing methods in both speed and power consumption. Engineered to function in always-on operation modes, this microcontroller is critical for applications where maintaining continuous operation is essential. Its design offloads processing tasks from the main application processor, allowing for dedicated computation of sensor data. This includes conditioning, filtering, and classification tasks, ensuring they are carried out efficiently within the strictest power limits. With its ability to be integrated with various sensors, the Spiking Neural Processor T1 empowers devices to achieve advanced functionalities such as presence detection, touch-free interfaces, and active monitoring in wearable devices. This product supports a comprehensive range of applications through its innovative approach to sensor data handling, leveraging the unique capabilities of spiking neural networks to drive cognitive processing in less power-intensive environments.
A compact and efficient microprocessor, the Y180 is a clone of the Zilog Z180 CPU, exhibiting approximately 8K gates. Developed with a focus on minimalism and effectiveness, the Y180 operates with unparalleled precision in constrained environments.
The C100 represents an advanced integration of wireless microcontroller capabilities for Internet of Things (IoT) applications. Built around a powerful 32-bit RISC-V CPU operating at speeds up to 1.5GHz, this chip delivers high-efficiency processing and data handling. Embedded with RAM and ROM, the C100 is designed to maintain high performance while minimizing power usage. Complementing its processing power, the C100 integrates extensively with wireless functionalities including Wi-Fi, and supports a multitude of transmission interfaces. Additionally, it includes an Analog-to-Digital Converter (ADC), Low Dropout Regulator (LDO), and a temperature sensor, allowing it to cater to diverse application needs swiftly and efficiently. Its design seeks to offer seamless application development that is broad in range yet simple and fast, making it a perfect choice for developers focused on creating robust IoT solutions. The C100's strength lies not just in its integrated components but also in its ability to adapt to secure, high-performance environments, making it useful for smart home systems, healthcare devices, and more.
FortiMac provides a reliable HMAC SHA2 IP core solution with advanced resistance against DPA and FIA, utilizing a minimal number of digital gates for an efficient security measure. Its underlying protection is built on the Threshold Implementation strategy, which offers formidable resistance against SCA and FI attacks. This IP stands out as the sole market component offering pure software solutions with robust algorithmic safeguards. FortiMac effectively supports various SHA schemes and ensures SCA and FIA protection on multiple processor architectures, making it adaptable for a range of applications including secure communications and automotive systems.
The RISC-V Core IP from AheadComputing is engineered to deliver high performance while maintaining flexibility and efficiency in design. The open specification architecture allows users to tailor the core to meet diverse application demands, ensuring adaptability across various computing environments. This core IP is ideal for applications requiring customization and optimization, offering a robust solution for modern challenges in computing. Facilitated by a standards-based approach, AheadComputing’s RISC-V Core IP ensures seamless integration and compatibility, supporting a wide range of interfaces and functionalities. This extensibility makes it an excellent choice for projects where quick time-to-market and cost efficiency are critical factors. Moreover, the architecture is designed to support progressive enhancements and iterations, staying relevant in the fast-paced technology world. Particularly advantageous for embedded systems and consumer electronics, the RISC-V Core IP offers advanced processing capabilities without compromising on power efficiency. As the industry moves towards more open structures, this IP serves as a pivotal component in developing next-generation computing solutions.
Designed for applications requiring exceptional energy efficiency and computational effectiveness, the Tianqiao-80 High-Efficiency 64-bit RISC-V CPU provides a robust solution for modern computing needs. Tailored for high-performance scenarios, this CPU core offers considerable advantages in both mobile and desktop environments, meeting the increasing demands for intelligent and responsive technology. The Tianqiao-80 features an innovative design that enhances processing efficiency, making it an ideal fit for applications such as artificial intelligence, automotive systems, and desktop computing. With its 64-bit architecture, the core efficiently manages resource-intensive tasks while maintaining competitive power usage, thus delivering enhanced operational effectiveness. This processor is also characterized by its ability to integrate seamlessly into diverse computing ecosystems, supporting high-performance interfaces and rapid data processing. Its architectural enhancements ensure that it meets the needs of modern computing, providing a reliable and versatile option for developers working across a wide spectrum of digital technologies.
The Y180S is an enhanced variant of the Y180, incorporating additional safety mechanisms to ensure secure operation. With a gate count of roughly 10K, it delivers robust computing power in applications requiring heightened reliability and error handling.
SEMIFIVE's AIoT Platform is crafted for the burgeoning Internet of Things market, combining artificial intelligence with IoT capabilities to create smart, interconnected systems. The platform integrates powerful AI processors with IoT modules that enhance machine learning capabilities at the edge, delivering enhanced data analytics and real-time processing. It is designed for ease of deployment and flexibility, ensuring quick adaptation to ever-evolving IoT environments. This integration is optimized for power efficiency and cost-effectiveness, making it an ideal solution for large-scale AIoT implementations.
ASIC North specializes in creating sensor interface derivatives, custom-designed to enhance existing system functionalities. These interfaces are strategically developed to seamlessly integrate with a myriad of industry applications, offering precision and adaptability. Through cutting-edge design practices, ASIC North ensures that these sensor interface circuits can handle a diverse array of inputs, providing reliable data conversion and processing across different environments.<br><br>Each sensor interface derivative is crafted to meet the specific needs of advanced technological systems, supporting applications such as IoT devices, smart home technologies, and industrial automation. Utilizing a comprehensive design and testing methodology, ASIC North guarantees high performance and compatibility with current industry standards. This meticulous attention to detail helps improve system reliability and operational efficiency.<br><br>By choosing ASIC North's sensor interface derivatives, companies benefit from unparalleled technical support and innovative solutions tailored to their unique challenges. These interfaces not only enhance the capabilities of existing systems but also ensure scalability and future-proofing, aligning with dynamic technological advancements and evolving market trends.
The TSP1 Neural Network Accelerator from Applied Brain Research is a cutting-edge AI solution built to handle complex AI workloads with remarkable efficiency. Designed specifically for battery-powered devices, this chip excels in low-power operations while processing extensive neural network tasks. At its core, the TSP1 integrates state-of-the-art processing capabilities tailored for time series data, essential for applications like natural voice interfaces and bio-signal classification. This innovative chip is notable for its energy efficiency, consuming less than 10mW for complex AI tasks, making it an ideal solution for energy-conscious applications. Furthermore, it supports an array of sensor signal applications, ensuring versatile functionality across different domains including AR/VR, smart home automation, and medical wearables. By incorporating the Legendre Memory Unit, a proprietary advanced state-space neural network model, the TSP1 achieves superior data efficiency compared to traditional network architectures. ABR’s TSP1 stands out for its ability to perform powerful AI inferences with low latency, essential for real-time applications. It supports a wide range of interfaces, making it suitable for diverse integration scenarios, from voice recognition to industrial automation. Additionally, the chip's optimized hardware is key for algorithm scaling, facilitating smooth processing of larger neural models without compromising speed or performance.
The Yuzhen 600 is a highly efficient RFID chip designed for robust IoT applications. This chip provides swift and accurate transmission of data, making it an ideal choice for inventory management and tracking systems. Its architecture emphasizes energy efficiency, ensuring prolonged operational life in the field. Yuzhen 600's advanced communication protocols support seamless integration into various IoT networks, enhancing system performance and reliability.
The DQ80251 is an ultra-high-performance microcontroller core designed for embedded systems. It supports 16-bit and 32-bit operations and utilizes a Quad-Pipeline architecture to enhance processing capabilities. With a versatile instruction set compatible with both 8051 and 80251 standards, this core ensures broad applicability in various systems. Notably, it achieves impressive performance metrics, allowing it to manage extensive code bases while maintaining efficient processing speeds. Through its optimized framework, it facilitates streamlined integration with a range of peripheral devices and offers significant improvements in data throughput.
The Tianqiao-90 High-Performance RISC-V CPU Core stands out as a top-tier commercial-grade processor designed to meet the rigorous demands of contemporary high-performance computing environments. Its architecture is meticulously crafted to offer unparalleled flexibility, making it suitable for data-heavy centers, personal computing, mobile devices, and advanced machine learning applications. This CPU core demonstrates significant potential in handling intricate computational scenarios, thereby serving as a cornerstone for high-efficiency device design. Engineered with an advanced pipeline and comprehensive support for standard RISC-V extensions, the Tianqiao-90 excels in providing optimized performance and power efficiency. Its processing capabilities are enhanced by the integration of features such as out-of-order execution and multispecies instruction handling, ensuring a robust throughput. This makes it an excellent choice for power-intensive operations while maintaining notable energy efficiency. The core's modular design allows for scalability, making it adaptable to various multicore configurations that are essential in today's fast-paced technological landscape. Its deployment not only simplifies SoC development but also supports a wide array of applications ranging from network communications to AI-driven tasks, ensuring versatile implementation across multiple platforms.
The Y8002 is a synthesizable model, mirroring the specifications of a Zilog microprocessor with a gate count of approximately 15K. It is engineered to deliver dependable performance across various applications, providing a versatile solution for electronic designs.
The SFA 300 is engineered for scalable, quad-channel video and data processing needs, suitable for more complex applications requiring multiple channel inputs. It provides robust, concurrent data processing capabilities, ensuring each channel is managed efficiently without compromising performance. This product is tailored for scenarios demanding simultaneous processing of high-definition video and data streams, thereby enhancing system agility and responsiveness.
The BA51 is a deeply embedded, ultra-low-power RISC-V processor designed for energy-sensitive applications such as IoT devices. With a single-issue, in-order, 2-stage pipeline, the BA51 achieves excellent energy efficiency, operating with less than 16k gates. This processor is capable of running at frequencies over 500 MHz at 16nm, delivering substantial performance for applications needing minimal power consumption and processing power.\n\nAdvanced power management techniques, including dynamic clock gating and frequency scaling, are integrated into the BA51 to further optimize power usage, making it ideal for prolonged battery-operated devices. Additionally, the processor supports an optional L0 cache, enhancing performance where required.\n\nThe BA51's architecture supports the RV32 base integer or embedded ISA and extensions such as RV32[I/E][C][M], ensuring adaptability to various application needs. This flexibility, combined with its efficient design, makes the BA51 a compelling choice for developers focusing on cost-effective and power-sensitive solutions.
The ARC Processor IP offers high efficiency and flexibility designed for a wide range of embedded processing needs. With its capabilities spanning from high-performance computing to ultra-low power applications, this processor family is optimized for multiple end-use cases, including automotive, digital home, mobile, and storage solutions. ARC Processors boast features such as customizable instruction sets, scalable architecture, and advanced power management techniques. These processor cores are complemented by a robust ecosystem that includes development tools, software, and middleware, ensuring an end-to-end solution to accelerate time-to-market. Synopsys’ ARC Processors are built to meet the performance requirements of today's complex SoCs, with options for extension that allow designers to add their own custom functionality. This adaptability not only enhances product differentiation but also ensures efficient integration with other IP blocks and subsystems, allowing for quicker and more efficient product development cycles.
The Tianqiao-70 Low-Power Commercial Grade 64-bit RISC-V CPU is engineered to deliver optimal processing power with minimal energy consumption. Its low-power design makes it an ideal solution for devices that require prolonged battery life while maintaining substantial computational capacity. The core is particularly suited to mobile, desktop, and IoT environments, where efficiency and energy conservation are paramount. This core's architecture supports advanced RISC-V features, ensuring efficient execution of complex instructions. The focus on energy efficiency does not compromise its performance; instead, it balances power requirements with high-speed processing, making it outstanding for both current and future technological applications. Designed with versatility in mind, the Tianqiao-70 boasts configurations tailored to enhance performance across various platforms. Its capability to support advanced multimedia and compute-intensive tasks without excessive power draw underscores its value in developing sustainable and efficient computing solutions.
Advanced Silicon's Specialty Microcontrollers leverage the latest RISC-V architectures to support advanced coprocessing functions. These microcontrollers are designed to enable high-performance algorithms suited to image processing. By integrating various peripherals and advanced features, they provide a flexible and powerful platform for developers. They are engineered to deliver superior performance in environments requiring robust computational power and are tailored for complex interactive applications, such as touchscreens that include object recognition in challenging conditions, like high EMI.
The Akida1000 Reference SoC is BrainChip's foundational AI processor, tailored to provide a complete event-based neural processing solution. Engineered to operate as an embedded accelerator, Akida1000 performs a diverse range of AI computations at the edge, removing the necessity for cloud interaction. With capabilities for both standalone operations and as an adjunct processor, the SoC caters to multiple application scenarios. Featuring 1.2 million neurons and 10 billion synapses, the Akida1000 SoC is robust, allowing real-time AI operations across various edge devices. Its design facilitates seamless integration into existing systems, ensuring efficient data-to-event conversion and neural network execution without saturating CPU resources. Compatible with a broad array of hardware, including PCIe and Raspberry Pi development kits, Akida1000 promotes rapid prototyping and deployment. This strategic compatibility, combined with on-chip learning capabilities, positions the Akida1000 SoC as a pivotal component for developers aiming to future-proof their edge AI applications.
The nRF54L15 System-on-Chip (SoC) is a sophisticated and ultra-low-power wireless solution designed to accommodate a wide array of applications. It combines 1.5 MB of Non-Volatile Memory (NVM) and 256 KB of RAM to support extensive protocol stacks like Bluetooth LE, Thread, and Zigbee. The nRF54L15 also embraces proprietary 2.4 GHz protocols, providing developers with broad versatility in their projects. This SoC utilizes a suite of advanced power management features to ensure energy efficiency, essential for battery-powered applications. The nRF54L15 is compatible with a range of Nordic's development tools, offering a full-fledged ecosystem to streamline the development process and innovate within the IoT domain.
This RISC-V Processor Core stands out as a versatile solution for a wide range of applications needing efficient processing capability. It supports open-source ISA, allowing it to be adapted for various industry needs, from simple embedded systems to complex computing tasks. Designed for flexibility, this core is scalable and supports extensions for bespoke integration, making it suitable for applications ranging from automotive to consumer electronics. Its architecture ensures efficient power consumption and heat management, key for applications focusing on low power and high performance. The RISC-V core is engineered for robustness, supporting functional safety essential in mission-critical systems.
The I3C Host/Device Dual Role Controller IP from Arasan simplifies communication protocols in sensors and other peripheral devices, providing a seamless bridge for data transfer in mobile and IoT environments. Fully compliant with the latest I3C standard, the IP supports advanced features like multi-master and hot-join capabilities, ensuring smooth integration and communication efficiency. Arasan’s I3C IP design focuses on power efficiency and is built to handle high-speed data transactions with minimal latency, a crucial aspect for battery-operated devices. The ability to handle dynamic address allocations and multi-role communications adds versatility, meeting diverse application needs across industrial, automotive, and consumer electronics markets. This IP component is designed with integrated error detection and clock management features, ensuring data reliability and system integrity. By covering a wide range of operating conditions, the I3C Host/Device Dual Role Controller optimizes performance in various environments, making it a preferred choice for developers aiming to streamline their embedded solutions.
A high-performance version of the Zilog Z80180, the Y90-180 features an 18K gate architecture. This model merges versatility with computational rigor, supporting complex applications with its advanced processing capabilities.
The BA25 is a high-performance 32-bit application processor tailored for systems requiring computational strength and efficiency. Equipped with a seven-stage pipeline, this processor is ideally optimized for running operating systems like Linux and Android. Such a configuration ensures it delivers robust application processing power with the flexibility needed for advanced computing requirements.\n\nThe BA25 stands out for its adaptability in multi-faceted environments, offering support for external memory interfaces to extend its utility in various applications. This processor's design focuses on optimizing performance while maintaining low power consumption, thus ensuring its suitability for a broad spectrum of high-demand scenarios.\n\nIdeal for application-driven environments, the BA25 integrates seamlessly with application subsystems, making it suitable for general computing and specialized tasks. Its scalable architecture accommodates diverse workloads, making it a preferred choice for developers looking to balance performance and energy efficiency. This processor core is particularly effective for developers who seek to push the boundaries of what's possible in embedded systems relying on reliable and powerful processing cores.
The Y90 is a high-performance variation on the Zilog Z180 architecture, available in configurations of 10K or 17K gates. It represents a balanced option for applications necessitating both speed and efficiency, suitable for deployment in advanced microprocessor design.
Application Specific Instruction Set Processors (ASIPs) from Wasiela are designed as special-purpose programmable hardware accelerators. These processors offer a customizable instruction set that aligns with specific application needs, optimally balancing performance with power efficiency. Suitable for diverse applications, ASIPs enable targeted functionality enhancements with minimal power consumption, delivering precise, reliable processing capability tailored to complex computational tasks.
Targeting applications that require comprehensive processing and user-level applications, the BA22-AP is a 32-bit basic application processor equipped for systems that incorporate off-chip memory. The processor core is specifically optimized to support Linux and Android, making it an appealing option for advanced system designers.\n\nWith high-performance characteristics, the BA22-AP is designed to provide adaptable solutions for longer operating hours and robust task handling capabilities, integrating efficiently with various subsystems to deliver excellent performance continuity. This processor can support applications both in general and niche systems as required by evolving industry standards.\n\nDevelopers can rely on the BA22-AP’s optimized instruction set and support features to engage with a wide range of interfaces, contributing towards rich feature integration in sophisticated application environments. The enhanced capability to process advanced tasks makes this processor ideal for various niche applications in the tech ecosystem.
The BA22-DE is a compact 32-bit deeply embedded processor designed for seamless integration in advanced embedded applications. Leveraging the Harvard architecture, this core provides high clock frequencies and enhanced processing capabilities while maintaining a minimal footprint. It is a suitable option for applications requiring a robust yet efficiently operating processor core.\n\nThe architectural design prioritizes task efficiency and power management through an optimized instruction set architecture, enabling it to deliver substantial computing power without disproportionate energy use. The focus on configurability ensures that the BA22-DE meets varied use-case specifications in terms of speed and performance, offering a flexible solution for developers.\n\nThis processor is particularly advantageous for applications requiring high-speed processing like digital signal processing or real-time data analyses, due to its focus on maintaining low latency without sacrificing throughput. The BA22-DE stands as a strong choice for sophisticated systems needing reliable performance in constrained environments.
The i.MX RT700 Crossover MCU is tailored for smart, AI-driven edge devices, offering a combination of up to five computing cores for varied processing tasks. Positioned to handle AI on the edge, this MCU includes advanced interfaces supporting vast applications such as wearables and smart home devices. Its architecture simplifies designs by integrating all necessary processing capabilities into one unit. Notably, the i.MX RT700 comes equipped with NXP's eIQ Neutron neural processing unit, which excels in AI workloads, enhancing processing efficiency by up to 172x compared to previous iterations. In terms of connectivity, it offers extensive peripheral support, from high-speed USB to secure encryption functionality, ensuring comprehensive data protection. With NXP's support ecosystem, developers can rapidly prototype and deploy new solutions using the MCUXpresso Developer Experience, which offers a suite of tools including an SDK, IDEs, and secure configuration utilities. This makes the i.MX RT700 particularly appealing for development in cutting-edge consumer and industrial applications, offering robust support for AI-related programming paradigms.
The BA20 PipelineZero is designed to be an ultra-low-power 32-bit embedded processor, perfect for IoT applications that prioritizes efficiency. It stands out due to its 'zero' stage pipeline architecture, allowing the processor to function at extremely low power levels, thus theoretically eliminating pipeline stalls common to other processors.\n\nThis architecture allows for a hazard-free single-cycle operation with greater code density, thus delivering excellent performance while sustaining minimal energy consumption. The BA20 can achieve high processing efficiency using a reduced area on silicon, making it an ideal choice for battery-powered devices and systems requiring frequent sleep modes.\n\nWith its extensive support for code density maximization and energy efficiency, the BA20 significantly reduces operational costs related to power consumption in IoT devices. This makes it a perfect fit for developers needing an embedded processor designed to push the boundaries of efficiency and performance without compromising on versatility.
The BA21 processor is a 32-bit low-power core tailored for deeply embedded systems, emphasizing efficiency without compromising performance. Featuring a two-stage pipeline, the BA21 is optimized for power management, making it a suitable choice for applications where minimizing power consumption is crucial.\n\nThe architectural design of this processor focuses on achieving a high level of code density, allowing developers to optimize the system memory usage while still maintaining significant performance. Advanced power management features such as dynamic clock gating are incorporated to provide additional control over energy expenditure, making the BA21 ideal for systems that require frequent operational transitions.\n\nDevelopment support is extensive, with integration capabilities that fit seamlessly into diversified ecosystems. This adaptability makes the BA21 perfect for developers aiming to innovate within constraints, offering capabilities that enhance microcontroller applications across various sectors.
The BA22-CE is a cache-enabled 32-bit processor designed for deeply embedded applications that demand both low power consumption and high performance. With this setup, developers enjoy the benefits of a standard BA22 processor enhanced by integrated cache memory support, resulting in optimized data processing speeds.\n\nArchitected to thrive in power-sensitive environments, the BA22-CE supports applications where efficiency is key, combining well-coordinated hardware and software designs to deliver performance with reduced energy consumption. Its robust feature set makes it viable for systems requiring real-time processing and execution efficiency.\n\nThe processor core’s compatibility with Linux and Android platforms broadens application potential from consumer devices to industrial systems, offering developers the architecture to build solutions optimized for an array of dynamic and demanding computational situations.
Ceva-MotionEngine is a sophisticated sensor processing platform that combines advanced fusion algorithms and dynamic calibration for sensor data. By leveraging Ceva's extensive experience, the MotionEngine offers exceptional precision for applications like AR/VR, navigation, and activity tracking. It is capable of integrating various sensors to provide seamless environmental awareness, improving device interaction with optimized power and efficiency.