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 Akida 2nd Generation continues BrainChip's legacy of low-power, high-efficiency AI processing at the edge. This iteration of the Akida platform introduces expanded support for various data precisions, including 8-, 4-, and 1-bit weights and activations, which enhance computational flexibility and efficiency. Its architecture is significantly optimized for both spatial and temporal data processing, serving applications that demand high precision and rapid response times such as robotics, advanced driver-assistance systems (ADAS), and consumer electronics. The Akida 2nd Generation's event-based processing model greatly reduces unnecessary operations, focusing on real-time event detection and response, which is vital for applications requiring immediate feedback. Furthermore, its sophisticated on-chip learning capabilities allow adaptation to new tasks with minimal data, fostering more robust AI models that can be personalized to specific use cases without extensive retraining. As industries continue to migrate towards AI-powered solutions, the Akida 2nd Generation provides a compelling proposition with its improved performance metrics and lower power consumption profile.
Akida IP represents BrainChip's groundbreaking approach to neuromorphic AI processing. Inspired by the efficiencies of cognitive processing found in the human brain, Akida IP delivers real-time AI processing capabilities directly at the edge. Unlike traditional data-intensive architectures, it operates with significantly reduced power consumption. Akida IP's design supports multiple data formats and integrates seamlessly with other hardware platforms, making it flexible for a wide range of AI applications. Uniquely, it employs sparsity, focusing computation only on pertinent data, thereby minimizing unnecessary processing and conserving power. The ability to operate independently of cloud-driven data processes not only conserves energy but enhances data privacy and security by ensuring that sensitive data remains on the device. Additionally, Akida IP’s temporal event-based neural networks excel in tracking event patterns over time, providing invaluable benefits in sectors like autonomous vehicles where rapid decision-making is critical. Akida IP's remarkable integration capacity and its scalability from small, embedded systems to larger computing infrastructures make it a versatile choice for developers aiming to incorporate smart AI capabilities into various devices.
Altek's AI Camera Module integrates sophisticated imaging technology with artificial intelligence, providing a powerful solution for high-definition visual capture and AI-based image processing. This module is tailored for applications where high precision and advanced analytic capabilities are required, such as in security systems and automotive technology. The module is equipped with a broad range of functionalities, including facial recognition, motion detection, and edge computing. It harnesses AI to process images in real-time, delivering insights and analytics that support decision-making processes in various environments. By combining AI with its imaging sensors, Altek enables next-generation visual applications that require minimal human intervention. Altek's AI Camera Module stands out for its high-degree of integration with IoT networks, allowing for seamless connectivity across devices. Its adaptability to different environments and conditions makes it a highly versatile tool. The module's design ensures durability and reliability, maintaining performance even under challenging conditions, thereby ensuring consistent and accurate image capture and processing.
The Yitian 710 processor from T-Head represents a significant advancement in server chip technology, featuring an ARM-based architecture optimized for cloud applications. With its impressive multi-core design and high-speed memory access, this processor is engineered to handle intensive data processing tasks with efficiency and precision. It incorporates advanced fabrication techniques, offering high throughput and low latency to support next-generation cloud computing environments. Central to its architecture are 128 high-performance CPU cores utilizing the Armv9 structure, which facilitate superior computational capabilities. These cores are paired with substantial cache size and high-speed DDR5 memory interfaces, optimizing the processor's ability to manage massive workloads effectively. This attribute makes it an ideal choice for data centers looking to enhance processing speed and efficiency. In addition to its hardware prowess, the Yitian 710 is designed to deliver excellent energy efficiency. It boasts a sophisticated power management system that minimizes energy consumption without sacrificing performance, aligning with green computing trends. This combination of power, efficiency, and environmentally friendly design positions the Yitian 710 as a pivotal choice for enterprises propelling into the future of computing.
The Chimera GPNPU from Quadric is engineered to meet the diverse needs of modern AI applications, bridging the gap between traditional processing and advanced AI model requirements. It's a fully licensable processor, designed to deliver high AI inference performance while eliminating the complexity of traditional multi-core systems. The GPNPU boasts an exceptional ability to execute various AI models, including classical backbones, state-of-the-art transformers, and large language models, all within a single execution pipeline.\n\nOne of the core strengths of the Chimera GPNPU is its unified architecture that integrates matrix, vector, and scalar processing capabilities. This singular design approach allows developers to manage complex tasks such as AI inference and data-parallel processing without resorting to multiple tools or artificial partitioning between processors. Users can expect heightened productivity thanks to its modeless operation, which is fully programmable and efficiently executes C++ code alongside AI graph code.\n\nIn terms of versatility and application potential, the Chimera GPNPU is adaptable across different market segments. It's available in various configurations to suit specific performance needs, from single-core designs to multi-core clusters capable of delivering up to 864 TOPS. This scalability, combined with future-proof programmability, ensures that the Chimera GPNPU not only addresses current AI challenges but also accommodates the ever-evolving landscape of cognitive computing requirements.
xcore.ai is a versatile and powerful processing platform designed for AIoT applications, delivering a balance of high performance and low power consumption. Crafted to bring AI processing capabilities to the edge, it integrates embedded AI, DSP, and advanced I/O functionalities, enabling quick and effective solutions for a variety of use cases. What sets xcore.ai apart is its cycle-accurate programmability and low-latency control, which improve the responsiveness and precision of the applications in which it is deployed. Tailored for smart environments, xcore.ai ensures robust and flexible computing power, suitable for consumer, industrial, and automotive markets. xcore.ai supports a wide range of functionalities, including voice and audio processing, making it ideal for developing smart interfaces such as voice-controlled devices. It also provides a framework for implementing complex algorithms and third-party applications, positioning it as a scalable solution for the growing demands of the connected world.
The RV12 RISC-V Processor is a versatile single-core microprocessor that adheres to both the RV32I and RV64I RISC-V instruction sets. Designed primarily for the embedded market, this processor features a Harvard architecture that enables simultaneous instruction and data accesses, enhancing performance in computing tasks. As part of the Roa Logic CPU family, this processor is highly configurable, allowing users to adjust its parameters to fit specific application requirements, thus making it an excellent choice for technology developers seeking efficient custom solutions.
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 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 NMP-750 is a high-performance accelerator designed for edge computing, particularly suited for automotive, AR/VR, and telecommunications sectors. It boasts an impressive capacity of up to 16 TOPS and 16 MB local memory, powered by a RISC-V or Arm Cortex-R/A 32-bit CPU. The three AXI4 interfaces ensure seamless data transfer and processing. This advanced accelerator supports multifaceted applications such as mobility control, building automation, and multi-camera processing. It's designed to cope with the rigorous demands of modern digital and autonomous systems, offering substantial processing power and efficiency for intensive computational tasks. The NMP-750's ability to integrate into smart systems and manage spectral efficiency makes it crucial for communications and smart infrastructure management. It helps streamline operations, maintain effective energy management, and facilitate sophisticated AI-driven automation, ensuring that even the most complex data flows are handled efficiently.
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 SiFive Intelligence X280 processor targets applications in machine learning and artificial intelligence, offering a high-performance, scalable architecture for emerging data workloads. As part of the Intelligence family, the X280 prioritizes a software-first methodology in processor design, addressing future ML and AI deployment needs, especially at the edge. This makes it particularly useful for scenarios requiring high computational power close to the data source. Central to its capabilities are scalable vector and matrix compute engines that can adapt to evolving workloads, thus future-proofing investments in AI infrastructure. With high-bandwidth bus interfaces and support for custom engine control, the X280 ensures seamless integration with varied system architectures, enhancing operational efficiency and throughput. By focusing on versatility and scalability, the X280 allows developers to deploy high-performance solutions without the typical constraints of more traditional platforms. It supports wide-ranging AI applications, from edge computing in IoT to advanced machine learning tasks, underpinning its role in modern and future-ready computing solutions.
This core is designed for ultra-low power applications, offering a remarkable balance of power efficiency and performance. Operating at a mere 10mW at 1GHz, it showcases Micro Magic's advanced design techniques that allow for high-speed processing while maintaining low voltage operations. The core is ideal for energy-sensitive applications where performance cannot be compromised. With its ability to operate efficiently at 5GHz, this RISC-V core provides a formidable foundation for high-performance, low-power computing. It is a testament to Micro Magic's ability to develop cutting-edge solutions that cater to the needs of modern semiconductor applications. The 64-bit architecture ensures robust processing capabilities, making it suitable for a wide range of applications in various sectors. Whether for IoT devices or complex computing operations, this core is designed to meet diverse requirements by delivering power-packed performance.
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 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-350 is a cutting-edge endpoint accelerator designed to optimize power usage and reduce costs. It is ideal for markets like automotive, AIoT/sensors, and smart appliances. Its applications span from driver authentication and predictive maintenance to health monitoring. With a capacity of up to 1 TOPS and 1 MB of local memory, it incorporates a RISC-V/Arm Cortex-M 32-bit CPU and supports three AXI4 interfaces. This makes the NMP-350 a versatile component for various industrial applications, ensuring efficient performance and integration. Developed as a low-power solution, the NMP-350 is pivotal for applications requiring efficient processing power without inflating energy consumption. It is crucial for mobile and battery-operated devices where every watt conserved adds to the operational longevity of the product. This product aligns with modern demands for eco-friendly and cost-effective technologies, supporting enhanced performance in compact electronic devices. Technical specifications further define its role in the industry, exemplifying how it brings robust and scalable solutions to its users. Its adaptability across different applications, coupled with its cost-efficiency, makes it an indispensable tool for developers working on next-gen AI solutions. The NMP-350 is instrumental for developers looking to seamlessly incorporate AI capabilities into their designs without compromising on economy or efficiency.
The Spiking Neural Processor T1 is a neuromorphic microcontroller engineered for always-on sensor applications. It utilizes a spiking neural network engine alongside a RISC-V processor core, creating an ultra-efficient single-chip solution for real-time data processing. With its optimized power consumption, it enables next-generation artificial intelligence and signal processing in small, battery-operated devices. The T1 delivers advanced applications capabilities within a minimal power envelope, making it suitable for use in devices where power and latency are critical factors. The T1 includes a compact, multi-core RISC-V CPU paired with substantial on-chip SRAM, enabling fast and responsive processing of sensor data. By employing the remarkable abilities of spiking neural networks for pattern recognition, it ensures superior power performance on signal-processing tasks. The versatile processor can execute both SNNs and conventional processing tasks, supported by various standard interfaces, thus offering maximum flexibility to developers looking to implement AI features across different devices. Developers can quickly prototype and deploy solutions using the T1's development kit, which includes software for easy integration into existing systems and tools for accurate performance profiling. The development kit supports a variety of sensor interfaces, streamlining the creation of sophisticated sensor applications without the need for extensive power or size trade-offs.
The SiFive Essential family of processors is renowned for its flexibility and wide applicability across embedded systems. These CPU cores are designed to meet specific market needs with pre-defined, silicon-proven configurations or through use of SiFive Core Designer for custom processor builds. Serving in a range of 32-bit to 64-bit options, the Essential processors can scale from microcontrollers to robust dual-issue CPUs. Widely adopted in the embedded market, the Essential series cores stand out for their scalable performance, adapting to diverse application requirements while maintaining power and area efficiency. They cater to billions of units worldwide, indicating their trusted performance and integration across various industries. The SiFive Essential processors offer an optimal balance of power, area, and cost, making them suitable for a wide array of devices, from IoT and consumer electronics to industrial applications. They provide a solid foundation for products that require reliable performance at a competitive price.
The Chipchain C100 is a pioneering solution in IoT applications, providing a highly integrated single-chip design that focuses on low power consumption without compromising performance. Its design incorporates a powerful 32-bit RISC-V CPU which can reach speeds up to 1.5GHz. This processing power ensures efficient and capable computing for diverse IoT applications. This chip stands out with its comprehensive integrated features including embedded RAM and ROM, making it efficient in both processing and computing tasks. Additionally, the C100 comes with integrated Wi-Fi and multiple interfaces for transmission, broadening its application potential significantly. Other notable features of the C100 include an ADC, LDO, and a temperature sensor, enabling it to handle a wide array of IoT tasks more seamlessly. With considerations for security and stability, the Chipchain C100 facilitates easier and faster development in IoT applications, proving itself as a versatile component in smart devices like security systems, home automation products, and wearable technology.
The NMP-550 is tailored for enhanced performance efficiency, serving sectors like automotive, mobile, AR/VR, drones, and robotics. It supports applications such as driver monitoring, image/video analytics, and security surveillance. With a capacity of up to 6 TOPS and 6 MB local memory, this accelerator leverages either a RISC-V or Arm Cortex-M/A 32-bit CPU. Its three AXI4 interface support ensures robust interconnections and data flow. This performance boost makes the NMP-550 exceptionally suited for devices requiring high-frequency AI computations. Typical use cases include industrial surveillance and smart robotics, where precise and fast data analysis is critical. The NMP-550 offers a blend of high computational power and energy efficiency, facilitating complex AI tasks like video super-resolution and fleet management. Its architecture supports modern digital ecosystems, paving the way for new digital experiences through reliable and efficient data processing capabilities. By addressing the needs of modern AI workloads, the NMP-550 stands as a significant upgrade for those needing robust processing power in compact form factors.
The RISC-V CPU IP N Class is part of a comprehensive lineup offered by Nuclei, optimized for microcontroller applications. This 32-bit architecture is ideal for AIoT solutions, allowing seamless integration into innovative low-power and high-efficiency projects. As a highly configurable IP, it supports extensions in security and physical safety measures, catering to applications that demand reliability and adaptability. With a focus on configurability, the N Class can be tailored for specific system requirements by selecting only the necessary features, ensuring optimized performance and resource utilization. Designed with robust and readable Verilog coding, it facilitates effective debugging and performance, power, and area (PPA) optimization. The IP also supports Trust Execution Environment (TEE) for enhanced security, catering to a variety of IoT and embedded applications. This class offers efficient scalability, supporting several RISC-V extensions like B, K, P, and V, while also allowing for user-defined instruction expansion. Committed to delivering a highly adaptable processor solution, the RISC-V CPU IP N Class is essential for developers aiming to implement secure and flexible embedded systems.
NeuroMosAIc Studio is a comprehensive software platform designed to maximize AI processor utilization through intuitive model conversion, mapping, simulation, and profiling. This advanced software suite supports Edge AI models by optimizing them for specific application needs. It offers precision analysis, network compression, and quantization tools to streamline the process of deploying AI models across diverse hardware setups. The platform is notably adept at integrating multiple AI functions and facilitating edge training processes. With tools like the NMP Compiler and Simulator, it allows developers to optimize functions at different stages, from quantization to training. The Studio's versatility is crucial for developers seeking to enhance AI solutions through customized model adjustments and optimization, ensuring high performance across AI systems. NeuroMosAIc Studio is particularly valuable for its edge training support and comprehensive optimization capabilities, paving the way for efficient AI deployment in various sectors. It offers a robust toolkit for AI model developers aiming to extract the maximum performance from hardware in dynamic environments.
The RISC-V Core IP developed by AheadComputing Inc. stands out in the field of 64-bit application processors. Designed to deliver exceptional per-core performance, this processor is engineered with the highest standards to maximize the Instructions Per Cycle (IPC) efficiency. AheadComputing's RISC-V Core IP is continuously refined to address the growing demands of high-performance computing applications. The innovative architecture of this core allows for seamless execution of complex algorithms while achieving superior speed and efficiency. This design is crucial for applications that require fast data processing and real-time computational capabilities. By integrating advanced power management techniques, the RISC-V Core IP ensures energy efficiency without sacrificing performance, making it suitable for a wide range of electronic devices. Anticipating future computing needs, AheadComputing's RISC-V Core IP incorporates state-of-the-art features that support scalability and adaptability. These features ensure that the IP remains relevant as technology evolves, providing a solid foundation for developing next-generation computing solutions. Overall, it embodies AheadComputing’s commitment to innovation and performance excellence.
The Y180 is a streamlined microprocessor featuring around 8K gates, specifically designed as a clone of the Zilog Z180 CPU. Tailored for applications requiring compact size and efficient performance, this CPU-only design is a suitable replacement for legacy systems needing updates with reliable components. As a lightweight processor, the Y180 supports fundamental computational tasks while maintaining compatibility with existing infrastructure designed for Z180 systems. Its straightforward design facilitates easy integration, making it desirable for projects necessitating simplicity and lower power usage. Given its specialized purpose, the Y180 serves niche markets where updating older technology cost-effectively without compromising performance is a priority. It leverages Systemyde's depth of microprocessor design expertise to deliver practicality and adaptability.
TT-Ascalon™ is a versatile RISC-V CPU core developed by Tenstorrent, emphasizing the utility of open standards to meet a diverse array of computing needs. Built to be highly configurable, TT-Ascalon™ allows for the inclusion of 2 to 8 cores per cluster complemented by a customizable L2 cache. This architecture caters to clients seeking a tailored processing solution without the limitations tied to proprietary systems. With support for CHI.E and AXI5-LITE interfaces, TT-Ascalon™ ensures robust connectivity while maintaining system integrity and performance density. Its security capabilities are premised on equivalent RISC-V primitives, ensuring a reliable and trusted environment for operations involving sensitive data. Tenstorrent’s engineering prowess, evident in TT-Ascalon™, has been shaped by experienced personnel from renowned tech giants. This IP is meant to align with various performance targets, suited for complex computational tasks that demand flexibility and efficiency in design.
The SCR6 stands out with a high-performance 12-stage dual-issue out-of-order pipeline coupled with an advanced FPU. As a microcontroller core, it boasts excellent computational capabilities while maintaining efficient power consumption. This attribute makes it highly suitable for deeply embedded applications that demand a fine balance between performance and energy efficiency. Its architecture is particularly favored in sectors such as sensor fusion, control systems, and network devices. The SCR6 is emblematic of Syntacore's engineering prowess, integrating high-level functionalities into compact design footprints.
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 Codasip RISC-V BK Core Series represents a family of processor cores that bring advanced customization to the forefront of embedded designs. These cores are optimized for power and performance, striking a fine balance that suits an array of applications, from sensor controllers in IoT devices to sophisticated automotive systems. Their modular design allows developers to tailor instructions and performance levels directly to their needs, providing a flexible platform that enhances both existing and new applications. Featuring high degrees of configurability, the BK Core Series facilitates designers in achieving superior performance and efficiency. By supporting a broad spectrum of operating requirements, including low-power and high-performance scenarios, these cores stand out in the processor IP marketplace. The series is verified through industry-leading practices, ensuring robust and reliable operation in various application environments. Codasip has made it straightforward to use and adapt the BK Core Series, with an emphasis on simplicity and productivity in customizing processor architecture. This ease of use allows for swift validation and deployment, enabling quicker time to market and reducing costs associated with custom hardware design.
The SCR7 application core is a Linux-capable, high-performance processing unit equipped with a 12-stage dual-issue out-of-order pipeline. Designed for sophisticated computational tasks, it delivers superior performance through its SMP support, accommodating up to 8 cores. The core's comprehensive memory architecture, which includes cache coherency, makes it ideal for demanding sectors like AI and high-performance computing. The SCR7 is configured to excel in data-heavy environments, efficiently handling complex operations with lower power consumption, aligning with global trends in AI and enterprise data processing.
Tensix Neo is an AI-focused semiconductor solution from Tenstorrent that capitalizes on the robustness of RISC-V architecture. This IP is crafted to enhance the efficiency of both AI training and inference processes, making it a vital tool for entities needing scalable AI solutions without hefty power demands. With Tensix Neo, developers can rest assured of the silicon-proven reliability that backs its architecture, facilitating a smooth integration into existing AI platforms. The IP embraces the flexibility and customization needed for advanced AI workloads, optimizing resources and yielding results with high performance per watt. As the demand for adaptable AI solutions grows, Tensix Neo offers a future-proof platform that can accommodate rapid advancements and complex deployments in machine learning applications. By providing developers with tested and verified infrastructure, Tensix Neo stands as a benchmark in AI IP development.
The Universal Drive Controller is an advanced solution tailored for motion control applications across a range of motor types, including DC, BLDC, and stepper motors. It offers a comprehensive set of features that allows for independent position and velocity control of multiple motors directly from FPGA platforms. This flexibility makes it ideal for various industrial and commercial applications where precise motor control is paramount. With a focus on enhancing efficiency and performance, this controller simplifies the integration of motor control systems by providing a unified framework. It streamlines the management of complex control loops and ensures that each motor operates under optimal conditions. This results in improved operational stability and precision in movement, which is crucial for applications requiring high levels of accuracy. The design of the Universal Drive Controller is optimized for easy integration and configuration, supporting seamless implementation within existing setups. It promises to cut down development times and reduce complexities associated with traditional motor controller solutions. By utilizing FPGA technology, it offers a scalable and future-proof solution that can accommodate emerging requirements in motor control engineering.
Tailored for storage solutions, augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) applications, the RISC-V CPU IP NX Class offers a 64-bit architecture engineered for high demand environments. This class is geared towards applications that require significant data throughput and processing capability. The NX Class IP thrives in systems where intensive computational processes and large data sets are handled. It employs a sophisticated architecture that allows for optimal resource management and efficiency, ensuring fast and reliable performance across diverse industries. With support for advanced RISC-V extensions, the IP delivers flexibility allowing modifications to fit user-specific requirements. Its robust design supports functional safety and enhanced security measures, making it ideal for critical systems in sectors demanding high reliability and performance. Whether for consumer devices or industrial use, the NX Class IP represents a cutting-edge solution for developers focused on creating competitive and future-ready products.
The RFicient chip stands out for its ultra-low power consumption and remarkable efficiency, making it particularly suitable for Internet of Things (IoT) applications. This chip is designed to operate in energy-constrained environments, delivering high performance while maintaining minimal energy usage. It is engineered to facilitate long-term, maintenance-free operations in IoT devices, which are often deployed in remote or hard-to-reach locations. With a focus on sustainability, the RFicient chip significantly reduces energy consumption, extending the battery life of IoT devices. Its compact and robust design allows for seamless integration into various IoT systems, from smart homes to industrial IoT networks, providing reliable connectivity and data transmission under diverse environmental conditions. This chip not only supports the efficient gathering and processing of IoT data but also furthers ecological goals by reducing the carbon footprint associated with IoT deployments.
The RISC-V Processor Core is a versatile and highly customizable processor core that meets the needs of various embedded applications. Built on the open-source RISC-V instruction set architecture, this core provides flexibility and adaptability for designers seeking enhanced performance and power efficiency. It supports a number of extensions that allow for tailored optimizations, accommodating a wide range of computational needs from simple control tasks to complex number-crunching operations. The core's efficient design minimizes power consumption while maximizing processing speed, making it ideal for a broad spectrum of applications where energy efficiency is paramount. This processor core caters to industries such as automotive, IoT, and wearable technology by delivering a robust foundation for developing advanced computing solutions. It encourages innovation with its open-source nature, allowing developers to modify and enhance its features as they choose.
The TSP1 Neural Network Accelerator is a state-of-the-art AI chip designed for versatile applications across various industries, including voice interfaces, biomedical monitoring, and industrial IoT. Engineered for efficiency, the TSP1 handles complex workloads with minimal power usage, making it ideal for battery-powered devices. This AI chip is capable of advanced bio-signal classification and natural voice interface integration, providing self-contained processing for numerous sensor signal applications. A notable feature is its high-efficiency neural network processing element fabric, which empowers signal pattern recognition and other neural network tasks, thereby reducing power, cost, and latency. The TSP1 supports powerful AI inference processes with low latency, enabling real-time applications like full vocabulary speech recognition and keyword spotting with minimal energy consumption. It's equipped with multiple interfaces for seamless integration and offers robust on-chip storage for secure network and firmware management. The chip is available in various packaging options to suit different application requirements.
SEMIFIVE's AIoT Platform is engineered to drive the convergence of AI and the Internet of Things (IoT), facilitating smart, interconnected devices across various sectors. This platform is tailored for designing systems that require seamless integration of AI capabilities into IoT frameworks, offering a unique combination of flexibility and capability. Emphasizing energy efficiency and adaptability, the platform supports the development of edge-computing devices, smart home applications, robotics, and voice processing technologies. Featuring high-efficiency processors, it is designed to handle diverse data streams and perform real-time processing while maintaining low power consumption. Through its pre-integrated and verified components, the AIoT Platform simplifies the design process, allowing for rapid prototyping and deployment. SEMIFIVE empowers developers to create innovative solutions swiftly, adapting to the unique demands of IoT ecosystems and providing a robust foundation for future smart technologies.
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 S9 microSD and SD Controller from Hyperstone is crafted to serve industrial applications demanding robust and reliable flash memory management. This controller supports the utilization of SD and microSD cards in environments where performance and dependability are crucial. Its design ensures seamless operation within industrial temperature ranges, making it ideal for applications in sectors like automotive and industrial automation. Equipped with Hyperstone’s proprietary hyMap® firmware, the S9 controller offers extensive error correction and wear leveling capabilities to guarantee data integrity. The controller also includes advanced security features, especially in its S9S variant, which caters to applications requiring heightened data protection. The controller's support for the SD 7.1 interface ensures compatibility with up-to-date standards and host systems, enhancing its future-proof capabilities. This makes the S9 controller a versatile solution for industries that require high endurance storage options, enabling reliable data transactions and storage across diversified operational contexts.
The Origin E1 is a neural engine meticulously optimized for always-on applications found in devices like home appliances and smartphones. It excels in scenarios requiring approximately 1 TOPS performance, ideal for cost and area-sensitive applications like security cameras and always-sensing applications. This processor manages to combine power efficiency with high-level performance, ensuring continuous operation on minimal energy.
The i.MX RT700 Crossover MCU is a powerful preproduction microcontroller designed for AI-enabled edge devices. It harnesses the strength of five computing cores, making it exceptionally well-suited for high-compute tasks and applications requiring significant processing power in compact, efficient designs. This MCU integrates robust security features, ensuring that intelligent edge applications maintain integrity and resilience against potential threats. Its architecture supports diverse functionalities, from real-time processing to advanced signal handling, facilitating a seamless frontier for developing complex, responsive systems. The versatility of the i.MX RT700 makes it ideal for a range of applications, from automotive edge computing environments to smart consumer electronics. Its advanced processing power and flexible architectural design allow developers to push the limits of innovation, delivering smarter solutions with rapid response capabilities.
Aimed at delivering high performance for edge computing and Linux-based systems, the RISC-V CPU IP U Class provides a remarkable 32-bit architecture augmented with a Memory Management Unit (MMU). This configuration makes it particularly suitable for applications that require sophisticated data processing and multi-tasking capabilities. Optimized for integration into complex systems, the U Class IP extends its application to data centers and networking scenarios. This provides developers with powerful tools to meet the demands of modern computational tasks, ensuring efficient data handling and robust operations. The IP is tailored to deliver excellent performance in processing, with scalability and extension support, making it adaptable for a wide range of industrial applications. With configurability and robustness built into its core design, the U Class supports advanced security features and functional safety standards. This commitment to high standards ensures that the IP can adapt to specific system challenges, offering a broad set of tools for system architects to build efficient and dependable products.
The Y180S processor builds upon the Y180’s design with enhancements aimed at improving safety and operational reliability. With approximately 10K gates, this safe-state version ensures elevated performance in environments where system stability is of paramount importance. Designed for industrial and critical applications, the Y180S delivers a robust solution for developers needing a reliable microprocessor with the capability of handling unexpected system anomalies gracefully. Its architecture ensures that operations are seamlessly maintained even under potential duress, facilitating robust control systems. Developers and engineers looking to implement secure embedded systems will find the Y180S an exceptional choice. It provides the balance between established technology and the need for assured safe-state functionalities, vital across industries focusing on safety and resilience.
The TimbreAI T3 is an ultra-low-power AI engine tailored for audio noise reduction in devices like wireless headsets. Its streamlined architecture is crafted specifically for minimizing power while maintaining high fidelity audio processing. The engine operates at less than 300μW, making it the ideal choice for battery-sensitive applications.
The ARC processors provide power-efficient and customizable computing solutions, designed to meet the specific needs of embedded applications. With flexible architecture, these processors support a wide range of functionalities, from sensor processing to multimedia.
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 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.
Y8002 microprocessor offers approximately 15K gates and serves as a clone of a Zilog device, designed to be incorporated seamlessly into systems requiring Zilog's proven structure and functionality. This processor maintains the legacy of Zilog’s robust architecture while benefiting from Systemyde’s improvements in microprocessor reliability and efficiency. The Y8002 addresses the needs of sectors relying on proven, legacy equipment by ensuring compatibility and functionality remain paramount. It simplifies transitions and integrations for systems needing a drop-in replacement that aligns with existing operational paradigms. Characterized by Systemyde’s commitment to quality and performance, the Y8002 is an exemplary choice for developers focusing on applications where tradition meets modern requirements. It expands capabilities without necessitating extensive overhauls of current infrastructures.
Designed as a high-performance implementation of the Zilog Z180, the Y90 processor provides an option that enhances power and processing speed over the original. With a gate count between 10K and 17K, it offers flexibility and advanced functionality for systems seeking to upgrade without deviating from established architectures. The Y90 is intricately optimized for performance, ensuring that systems run efficiently and seamlessly. It retains compatibility with the Z180's original features, thereby allowing integration into existing systems requiring moderate upgrades in both speed and functionality. Tapping into Systemyde’s expertise in CPU design, the Y90 supports applications needing a straightforward yet powerful replacement for legacy processors. It achieves a balance of increased processing capability with minimal transition challenges.
The Akida1000 Reference SoC combines BrainChip's acclaimed Akida IP into a ready-to-implement System-on-Chip solution that serves as a perfect platform for rapid deployment of AI applications. This reference SoC is tailored to facilitate the integration of BrainChip's technology into a broad spectrum of devices ranging from mobile gadgets to high-performance AI edge servers. The SoC includes all essential components enabling seamless deployment, including memory integration, connectivity options, and comprehensive development support. By leveraging Akida1000, companies can accelerate the adoption of AI by reducing development time and costs associated with custom SoC design. This platform maintains all the pioneering features of the Akida IP, such as energy efficiency, real-time processing, and local data analysis, ensuring optimal performance in varied environments. Its robust framework supports various AI models, particularly those requiring real-time decision-making capabilities, such as in smart home ecosystems, security systems, and in-car infotainment applications.
xcore-200 leverages multicore microcontroller technology to deliver exceptional processing power for embedded systems. Built to handle intensive DSP and I/O tasks, it excels in environments requiring seamless integration of voice, audio, and data processing. This processor is ideally suited for applications in consumer electronics and industrial control, offering a balance of high processing capability and energy efficiency. With its deterministic performance and support for various communication interfaces, xcore-200 ensures reliable operation across diverse environments. By facilitating sophisticated signal processing and real-time control, xcore-200 enables developers to implement innovative solutions that meet demanding technical specifications. Its adaptability makes it a go-to choice for applications requiring robust computational frameworks and high-speed processing capabilities.
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