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 processor further advances BrainChip's AI capabilities with enhanced programmability and efficiency for complex neural network operations. Building on the principles of its predecessor, this generation is optimized for 8-, 4-, and 1-bit weights and activations, offering more robust activation functions and support for advanced temporal and spatial neural networks. A standout feature of the Akida 2nd Generation is its enhanced teaching capability, which includes learning directly on the chip. This enables the system to perform one-shot and few-shot learning, significantly boosting its ability to adapt to new tasks without extensive reprogramming. Its architecture supports more sophisticated machine learning models such as Convolutional Neural Networks (CNNs) and Spatio-Temporal Event-Based Neural Networks, optimizing them for energy-efficient application at the edge. The processor's design reduces the necessity for host CPU involvement, thus minimizing communication overhead and conserving energy. This makes it particularly suitable for real-time data processing applications where quick and efficient data handling is crucial. With event-based hardware that accelerates processing, the Akida 2nd Generation is designed for scalability, providing flexible solutions across a wide range of AI-driven tasks.
The AI Camera Module is an innovative solution designed to bring cutting-edge AI capabilities to camera systems. Known for its enhanced image quality and AI-based processing, this module integrates seamlessly with a wide array of systems to deliver superior performance in real-time scenarios. It is equipped to handle complex image processing tasks, making it invaluable for applications ranging from security to AI-driven analytics. By incorporating the latest AI advancements into its operation, this module facilitates heightened awareness and analysis capabilities across various sectors. Altek's AI Camera Module emphasizes high-resolution image capture, ensuring that every detail is accurately recorded and processed for precise analysis. This technology not only supports high-definition imaging but also optimizes power consumption, making it suitable for integration into IoT and edge computing environments. Such adaptations are crucial for systems requiring constant, real-time image processing while retaining high operational efficiency. The module's design also promotes adaptability, allowing for custom configurations that meet specific client requirements. Its capability to integrate AI functionalities directly into the camera hardware enhances its appeal in industries focused on automation, surveillance, and smart analytics. This product affirms Altek's role in pioneering technological advancements that align with current and future demands for intelligent, efficient, and scalable solutions.
The Yitian 710 Processor is T-Head's flagship ARM-based server chip that represents the pinnacle of their technological expertise. Designed with a pioneering architecture, it is crafted for high efficiency and superior performance metrics. This processor is built using a 2.5D packaging method, integrating two dies and boasting a substantial 60 billion transistors. The core of the Yitian 710 consists of 128 high-performance Armv9 CPU cores, each accompanied by advanced memory configurations that streamline instruction and data caching processes. Each CPU integrates 64KB of L1 instruction cache, 64KB of L1 data cache, and 1MB of L2 cache, supplemented by a robust 128MB system-level cache on the chip. To support expansive data operations, the processor is equipped with an 8-channel DDR5 memory system, enabling peak memory bandwidth of up to 281GB/s. Its I/O subsystem is formidable, featuring 96 PCIe 5.0 channels capable of achieving dual-direction bandwidth up to 768GB/s. With its multi-layered design, the Yitian 710 Processor is positioned as a leading solution for cloud services, data analytics, and AI operations.
xcore.ai stands as a cutting-edge processor that brings sophisticated intelligence, connectivity, and computation capabilities to a broad range of smart products. Designed to deliver optimal performance for applications in consumer electronics, industrial control, and automotive markets, it efficiently handles complex processing tasks with low power consumption and rapid execution speeds. This processor facilitates seamless integration of AI capabilities, enhancing voice processing, audio interfacing, and real-time analytics functions. It supports various interfacing options to accommodate different peripheral and sensor connections, thus providing flexibility in design and deployment across multiple platforms. Moreover, the xcore.ai ensures robust performance in environments requiring precise control and high data throughput. Its compatibility with a wide array of software tools and libraries enables developers to swiftly create and iterate applications, reducing the time-to-market and optimizing the design workflows.
Chimera GPNPU provides a groundbreaking architecture, melding the efficiency of neural processing units with the flexibility and programmability of processors. It supports a full range of AI and machine learning workloads autonomously, eliminating the need for supplementary CPUs or GPUs. The processor is future-ready, equipped to handle new and emerging AI models with ease, thanks to its C++ programmability. What makes Chimera stand out is its ability to manage a diverse array of workloads within a singular processor framework that combines matrix, vector, and scalar operations. This harmonization ensures maximum performance for applications across various market sectors, such as automotive, mobile devices, and network edge systems. These capabilities are designed to streamline the AI development process and facilitate high-performance inference tasks, crucial for modern gadget ecosystems. The architecture is fully synthesizable, allowing it to be implemented in any process technology, from current to advanced nodes, adjusting to desired performance targets. The adoption of a hybrid Von Neuman and 2D SIMD matrix design supports a broad suite of DSP operations, providing a comprehensive toolkit for complex graph and AI-related processing.
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 Akida IP platform is a revolutionary neural processor inspired by the workings of the human brain to achieve unparalleled cognitive capabilities and energy efficiency. This self-contained neural processor utilizes a scalable architecture that can be configured from 1 to 128 nodes, each capable of supporting 128 MAC operations. It allows for the execution of complex neural network operations with minimal power and latency, making it ideal for edge AI applications in vision, audio, and sensor fusion. The Akida IP supports multiple data formats including 4-, 2-, and 1-bit weights and activations, enabling the seamless execution of various neural networks across multiple layers. Its convolutional and fully-connected neural processors can perform multi-layered executions independently of a host CPU, enhancing flexibility in diverse applications. Additionally, its event-based hardware acceleration significantly reduces computation and communication loads, preserving host CPU resources and optimizing overall system efficiency. Silicon-proven, the Akida platform provides a cost-effective and secure solution due to its on-chip learning capabilities, supporting one-shot and few-shot learning methods. By maintaining sensitive data on-chip, the system offers improved security and privacy. Its extensive configurability ensures adaptability for post-silicon applications, making Akida an intelligent and scalable choice for developers. It is especially suited for implementations that require real-time processing and sophisticated AI functionalities at the edge.
The KL520 AI SoC introduces edge AI with efficiency in size and power, setting a standard in the market for such technologies. Featuring a dual ARM Cortex M4 CPU, it serves as a versatile AI co-processor, supporting an array of smart devices. It’s designed for compatibility with various sensor technologies, enabling powerful 3D sensing capabilities.
The RV12 RISC-V Processor is a highly adaptable single-core CPU that adheres to the RV32I and RV64I specifications of the RISC-V instruction set, aimed at the embedded systems market. This processor supports a variety of standard and custom configurations, making it suitable for diverse application needs. Its inherent flexibility allows it to be implemented efficiently in both FPGA and ASIC environments, ensuring that it meets the performance and resource constraints typical of embedded applications. Designed with an emphasis on configurability, the RV12 Processor can be tailored to include only the necessary components, optimizing both area and power consumption. It comes with comprehensive documentation and verification testbenches, providing a complete solution for developers looking to integrate a RISC-V CPU into their design. Whether for educational purposes or commercial deployment, the RV12 stands out for its robust design and adaptability, making it an ideal choice for modern embedded system 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-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 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 SiFive Intelligence X280 is designed to address the burgeoning needs of AI and machine learning at the edge. Emphasizing a software-first methodology, this family of processors is crafted to offer scalable vector and matrix compute capabilities. By integrating broad vector processing features and high-bandwidth interfaces, it can adapt to the ever-evolving landscape of AI workloads, providing both high performance and efficient scalability. Built on the RISC-V foundation, the X280 features comprehensive vector compute engines that cater to modern AI demands, making it a powerful tool for edge computing applications where space and energy efficiency are critical. Its versatility allows it to seamlessly manage diverse AI tasks, from low-latency inferences to complex machine learning models, thanks to its support for RISC-V Vector Extensions (RVV). The X280 family is particularly robust for applications requiring rapid AI deployment and adaptation like IoT devices and smart infrastructure. Through extensive compatibility with machine learning frameworks such as TensorFlow Lite, it ensures ease of deployment, enhanced by its focus on energy-efficient inference solutions and support for legacy systems, making it a comprehensive solution for future AI technologies.
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 Ultra-Low-Power 64-Bit RISC-V Core by Micro Magic is engineered to deliver exceptional energy efficiency while maintaining high performance. This core is specifically designed to operate at 1GHz while consuming a mere 10mW of power, making it ideal for today's power-conscious applications. Utilizing advanced design techniques, this processor achieves its high performance at lower voltages, ensuring reduced power consumption without sacrificing speed. Constructed with a focus on optimizing processing capabilities, this RISC-V core is built to cater to demanding environments where energy efficiency is critical. Whether used as a standalone processor or integrated into larger systems, its low power requirements and robust performance make it highly versatile. This core also supports scalable processing with its architecture, accommodating a broad spectrum of applications from IoT devices to performance-intensive computing tasks, aligning with industry standards for modern electronic products.
The Y180 is a CPU-focused IP core that efficiently replicates the functionality of the Zilog Z180 CPU, comprising around 8k gates. This implementation showcases Systemyde’s commitment to detail, ensuring a consistent and reliable performance within a minimized footprint. With a core dedicated to sustaining traditional CPU operations, the Y180 is notably small yet potent, suiting designs requiring streamlined CPU cores. It remains resilient in environments that demand traditional computing interfaces, providing a dependable platform for basic process tasks. Its silicon-proven design attests to its dependability and functionality across various implementations. As a go-to standard, the Y180 supports standard CPU applications seamlessly, acting as an accessible solution for Zilog’s architectural compatibility.
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 SiFive Essential family stands out as a versatile solution, delivering a wide range of pre-defined embedded CPU cores suitable for a variety of industrial applications. Whether you're designing for minimal area and power consumption or maximum feature capabilities, Essential offers configurations that adapt to diverse industrial needs. From compact microcontrollers to rich OS-compatible CPUs, Essential supports 32-bit and 64-bit pipelines, ensuring an optimal balance between performance and efficiency. This flexibility is enhanced by advanced tracing and debugging features, robust SoC security through WorldGuard support, and a broad array of interface options for seamless SoC integration. These comprehensive support mechanisms assure developers of maximum adaptability and accelerated integration within their designs, whether in IoT devices or control plane applications. SiFive Essential’s power efficiency and adaptability make it particularly suited for deploying customizable solutions in embedded applications. Whether the requirement is for intense computational capacity or low-power, battery-efficient tasks, Essential cores help accelerate time-to-market while offering robust performance in compact form factors, emphasizing scalable and secure solutions for a variety of applications.
Pushing the envelope of application processing, the SCR7 application core integrates a 12-stage dual-issue out-of-order pipeline for high-performance computing tasks. It is equipped with advanced cache coherency and a robust memory subsystem ideal for modern applications demanding exceptional compute power and scalability. This application core serves large-scale computing environments, addressing needs within sectors such as data centers, enterprise solutions, and AI-enhanced applications. Supporting symmetric multiprocessing (SMP) with configurations up to eight cores, the SCR7 ensures smooth and simultaneous execution of complex tasks, significantly improving throughput and system efficiency. Syntacore complements this architecture with a rich toolkit that facilitates development across diverse platforms, enhancing its adaptability to specific commercial needs. The SCR7 embodies the future of application processing with its ability to seamlessly integrate into existing infrastructures while delivering outperforming results rooted in efficient architectural design and robust support systems.
Nuclei's RISC-V CPU IP N Class is engineered with a 32-bit architecture specifically targeting microcontroller and AIoT applications. Tailored for high performance, it offers exceptional configurability, allowing integration into diverse system environments by selecting only the necessary features. The N Class series is part of Nuclei's robust coding framework, built with Verilog for enhanced readability and optimized for debugging and performance-power-area (PPA) considerations. This IP ensures scalability through support for RISC-V extensions including B, K, P, and V, as well as the flexibility of user-defined instruction extensions. Nuclei addresses comprehensive security through information security solutions like TEE and physical security packages. Meanwhile, its safety functionalities align with standards such as ASIL-B and ASIL-D, vital for applications demanding high safety protocols. The N Class is further supported by a wide range of ecosystem resources, facilitating seamless integration into various industrial applications. In summary, the N Class IP not only provides powerful performance capabilities but is also structured to accommodate a broad range of applications while adhering to necessary safety and security frameworks. Its user-friendly customization makes it particularly suitable for applications in rapidly evolving fields such as AIoT.
The Spiking Neural Processor T1 represents a significant leap in neuromorphic microcontroller technology, blending ultra-low power consumption with advanced spiking neural network capabilities. This microcontroller stands as a complete solution for processing sensor data with unprecedented efficiency and speed, bringing intelligence directly to the sensor. Incorporating a nimble RISC-V processor core alongside its spiking neural network engine, the T1 is engineered for seamless integration into next-generation AI applications. Within a tightly constrained power envelope, it excels at signal processing tasks that are crucial for battery-operated, latency-sensitive devices. The T1's architecture allows for fast, sub-1mW pattern recognition, enabling real-time sensory data processing akin to the human brain's capabilities. This microcontroller facilitates complex event-driven processing with remarkable efficiency, reducing the burden on application processors by offloading sensor data processing tasks. It is an enabler of groundbreaking developments in wearables, ambient intelligence, and smart devices, particularly in scenarios where power and response time are critical constraints. With flexible interface support, including QSPI, I2C, UART, and more, the T1 is designed for easy integration into existing systems. Its compact package size further enhances its suitability for embedded applications, while its comprehensive Evaluation Kit (EVK) supports developers in accelerating application development. The EVK provides extensive performance profiling tools, enabling the exploration of the T1's multifaceted processing capabilities. Overall, the T1 stands at the forefront of bringing brain-inspired intelligence to the edge, setting a new standard for smart sensor technology.
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 by AheadComputing Inc. exemplifies cutting-edge processor technology, particularly in the realm of 64-bit application processing. Designed for superior IPC (Instructions Per Cycle) performance, this core is engineered to enhance per-core computing capabilities, catering to high-performance computing needs. It stands as a testament to AheadComputing's commitment to achieving the pinnacle of processor speed, setting new industry standards. This processor core is instrumental for various applications requiring robust processing power. It allows for seamless performance in a multitude of environments, whether in consumer electronics, enterprise solutions, or advanced computational fields. The innovation behind this IP reflects the deep expertise and forward-thinking approach of AheadComputing's experienced team. Furthermore, the RISC-V Core IP supports diverse computing needs by enabling adaptable and scalable solutions. AheadComputing leverages the open-source RISC-V architecture to offer customizable computing power, ensuring that their solutions are both versatile and future-ready. This IP is aimed at delivering efficiency and power optimization, supporting sophisticated applications with precision.
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.
A high-performance solution for microcontroller applications, the SCR6 core is created to operate efficiently within deeply embedded environments. It boasts a 12-stage dual-issue out-of-order pipeline, facilitating advanced computation by optimizing instruction scheduling and execution. This core also incorporates a highly capable floating-point unit (FPU), further enhancing its ability to handle complex numerical operations with precision. The SCR6 microcontroller core fits seamlessly into various industrial and consumer electronics applications, where high performance mixed with power efficiency is crucial. Its unique architectural composition allows it to execute tasks at minimal energy expenditure, vital for battery-operated devices or systems requiring prolonged uptime. This capability is further augmented by its high-frequency operation and data management efficiency. For developers, the SCR6 merges flexibility with simplicity, offering a customizable platform supported by Syntacore’s extensive toolkit and documentation. It addresses the growing demand for intelligent, connected devices in sectors such as IoT and automation, making it an essential component in the development of cutting-edge technology solutions that require reliable computational power within limited resource constraints.
Enclustra's Universal Drive Controller is a versatile IP core designed for controlling a range of motors directly from FPGAs. This robust solution allows simultaneous position and velocity control of up to eight different DC, BLDC, or stepper motors, offering high flexibility for a variety of industrial and robotic applications. The drive controller provides precise and independent motor management features through its customizable architecture, ensuring optimized performance tailored to specific motion control requirements. This capability reduces the need for additional external components, streamlining integration and reducing system complexity. In addition to its primary control features, the Universal Drive Controller supports various communication interfaces, enabling seamless integration into existing systems. This IP core is essential for developers focusing on high-performance motor control systems, thanks to its scalable and adaptable approach to motor management.
Tensix Neo represents a transformative leap in enhancing AI computational efficiency, specifically designed to empower developers working on sophisticated AI networks and applications. Built around a Network-on-Chip (NoC) framework, Tensix Neo optimizes performance-per-watt, a critical factor for AI processing. It supports multiple precision formats to adapt to diverse AI workloads efficiently, allowing seamless integration with existing models and enabling scalability. Careful design ensures that Tensix Neo delivers consistent high performance across varied AI tasks, from image recognition algorithms to advanced analytics, making it an essential component in the AI development toolkit. Its capability to connect with an expanding library of AI models allows developers to leverage its full potential across multiple cutting-edge applications. This synthesis of performance and efficiency makes Tensix Neo a vital player in fields requiring high adaptability and rapid processing, such as autonomous vehicles, smart devices, and dynamic data centers. Moreover, the compatibility of Tensix Neo with Tenstorrent's other solutions underscores its importance as a flexible and powerful processing core. Designed with the contemporary developer in mind, Tensix Neo integrates seamlessly with open-source resources and tools, ensuring that developers have the support and flexibility needed to meet the challenges of tomorrow's AI solutions.
The Low Power RISC-V CPU IP from SkyeChip is designed for energy-efficient processing applications, leveraging the RISC-V RV32 instruction set. It fully supports the 'I' and 'C' extensions, with partial support for the 'M' extension, operating exclusively in machine mode to minimize complexity and enhance security. Equipped with 32 vectorized interrupts and standard debugging capabilities defined per RISC-V specifications, this CPU IP excels in environments demanding quick interrupt handling and real-time processing. This CPU is especially suitable for battery-powered and embedded systems where power efficiency is critical. Tailored for modular integration in diverse software stacks, this IP offers a flexible architecture, ensuring longevity and adaptability in rapidly evolving technological ecosystems. It stands as a formidable component in the development of next-generation smart devices and IoT applications.
SEMIFIVE's AIoT Platform is crafted to meet the evolving needs of the AI and IoT convergence. Aimed at enabling edge computing and connecting smart devices, this platform seamlessly integrates AI processing with IoT capabilities. It is ideal for developing efficient and responsive IoT solutions that require sophisticated AI integration. By utilizing advanced process nodes, the platform ensures that the solutions are not only powerful but also energy-efficient, supporting innovations in smart home technology, connected vehicles, and industrial IoT applications.
Building upon the Y180, the Y180S represents a safe-state iteration with approximately 10k gates. This model ensures reliable performance with added safety features that are crucial for sensitive applications requiring enhanced security and reliable operations. The design integrates improvement over the basic Y180, embedding security measures that provide steady and secure processing. With an emphasis on curated safety standards, Y180S delivers consistent outcomes even in challenging circumstances where secure data handling is pivotal. This CPU variant serves specialized needs, blending core functionality with critical safety advancements, suitable for operations that necessitate safeguarded data integrity. Well adapted for resilient computing frameworks, the Y180S stands firm in projects prioritizing secure transactional functions.
The RFicient chip is crafted to transform the Internet of Things (IoT) by delivering unprecedented energy efficiency. It is engineered to power sustainable IoT applications, minimizing energy consumption to nearly negligible levels. Utilizing this technology, devices can operate over extended periods without the need for frequent battery replacements or extensive power sources. Equipped with advanced RF capabilities, this chip is tailored for long-range connectivity, enabling devices to communicate across vast distances seamlessly. It is suited for deployment in varied environments, ensuring robust performance even in shifting conditions. The innovation behind this chip lies in its integration of cutting-edge circuit design which maintains low power usage while maximizing performance. RFicient's potential extends far beyond simple connectivity. It supports IoT devices with minimal energy resources, proving critical in domains where maintenance accessibility is limited. Its adaptive technologies can foster new IoT applications, paving the way for a future where technology adapts intuitively to the needs of diverse sectors and environments.
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.
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 RISC-V Processor Core is a high-performance, open-source core designed to meet the demands of the rapidly evolving semiconductor industry. With its simplified and extensible instruction set architecture, RISC-V offers developers the freedom to tailor the core’s functionalities to specific applications, enabling optimized performance and efficiency across a variety of platforms. RISC-V excels in environments where customized processing capabilities are critical, including applications in edge computing, IoT, and advanced automotive systems. Its open-source nature reduces cost barriers, encouraging innovation and flexibility in processor design. This accessibility allows developers to integrate specific features such as specialized security protocols, power-saving techniques, and real-time processing capabilities essential for modern mission-critical applications. The processor core’s adaptability is further enhanced by its compatibility with various software ecosystems and support for numerous programming languages. As industries seek to reduce dependency on proprietary hardware and adopt more configurable solutions, the RISC-V Processor Core represents a forward-thinking approach that aligns with current trends in sustainable and scalable technology development.
Designed for 64-bit architecture, the RISC-V CPU IP NX Class is tailored for demanding applications such as storage, augmented reality, and artificial intelligence. This processor IP stands out for its robust configurability, allowing users to integrate it effortlessly into complex systems by selecting only the necessary features. Developed with Verilog, the NX Class is primed for excellent readability and optimization in debugging, ensuring efficiency in performance and power management. In line with Nuclei's commitment to extensibility, the NX Class supports a wide array of RISC-V extensions and user-defined instruction abilities, fostering adaptability across diverse technological landscapes. It is fortified with robust information security features like TEE and a physical security suite, catering to stringent requirements for information integrity. Moreover, its compliance with safety standards such as ASIL-B and ASIL-D highlights its applicability in safety-critical environments. The NX Class amplifies Nuclei's offering by delivering powerful computation capabilities required for sophisticated applications. It exemplifies Nuclei's strategic approach towards providing adaptable, secure, and high-performing processor solutions for advancing technology sectors.
The RISC-V CPU IP U Class by Nuclei is crafted for environments demanding both 32-bit architecture and memory management with Linux support, making it suited for edge computing applications. It stands out with its robust coding structure, designed with Verilog to ensure clear readability, thus facilitating optimization in debugging and PPA aspects. The U Class is part of Nuclei's flexible solutions that offer a rich configurability, enabling tailored system integration by incorporating only the essential features required by the user. This IP supports a wide spectrum of RISC-V extensions, including the support for user-defined instructions, offering significant adaptability across various platforms. Its comprehensive information security solutions include TEE and a physical security package, bolstering system protection. Complementing its security features, the U Class provides functional safety packages, certified for standards such as ASIL-B and ASIL-D, ensuring its reliability in secure applications. Nuclei's U Class showcases an exemplary blend of configurability and security, allowing it to cater to emerging technological needs while ensuring high standards of safety. Its capability to operate within Linux environments makes it particularly advantageous for cutting-edge edge computing projects.
The Y8002 solidly mirrors the capabilities of another Zilog CPU device within a compact silicon footprint, utilizing approximately 15k gates. This clone design fits existing Zilog frameworks while enhancing Systemyde's versatile support for comprehensive semiconductor solutions. The microprocessor is strategically positioned for users seeking streamlined integration and compatibility with intrinsic Zilog specifications, distilled into concise configuration settings. It stands resilient within platforms integrating prevalent legacy technology staples. This processing core secures a seamless fit into systems demanding specific Zilog compatibility, boasting efficient architecture and trusted operability. Y8002 caters to routine tasks within advanced configurations, emphasizing reliable design and adaptability within extended operational scopes.
The TimbreAI T3 is tailored for audio-focused devices, providing ultra-low power AI capabilities for applications like noise reduction in headsets. Offering performance up to 3.2 billion operations per second while maintaining minimal power draw of under 300μW, it is a prime choice for consumer audio solutions with strict area and power consumption needs. Its architecture ensures seamless integration and rapid deployment without external memory requirements, thereby achieving high performance while saving system power and chip area.
The BA51 is a deeply embedded ultra-low-power processor core from CAST’s RISC-V family, engineered for efficiency in power-sensitive applications. It capitalizes on a compact two-stage pipeline architecture, minimizing gate count to just 16K. Designed for performance in cost-sensitive environments, the BA51 achieves operational frequencies exceeding 500 MHz at 16nm process nodes, marking it as a standout in energy-conscious embedded designs. The core delivers an impressive 400 CoreMarks/MHz, ensuring robust application processing capabilities with optimized energy usage. Optional L0 instruction and data caches further enhance its ability to seamlessly transition between demanding tasks. The BA51's design reflects a focus on minimizing energy consumption while maintaining computational performance, making it ideal for applications such as IoT and wearables where both longevity and performance are critical. Its scalability and support from open-source development tools make it a go-to choice for engineers aiming to balance power efficiency with processing needs.
TT-Ascalon™ is a RISC-V based CPU processor designed by Tenstorrent, showcasing an out-of-order, superscalar architecture focused on maximizing performance while maintaining energy efficiency. As an 8-wide decode processor, TT-Ascalon™ is co-optimized with Tensix IP to deliver superior computational capacity, making it particularly suited for high-demand applications in sectors like data centers, automotive, and cloud computing. TT-Ascalon™ supports an impressive range of AI-specific tasks by facilitating the integration of existing software systems and enhancing processing capabilities through its amplified decode width and advanced pipeline architecture. This strategic design allows for superior performance metrics in complex processing environments where speed and efficiency are paramount. The processor's architecture harmonizes effectively with a diverse array of systems, offering robust support for applications ranging from edge computing to advanced autonomous systems. As part of Tenstorrent's commitment to open-source development, TT-Ascalon™ provides flexibility in customization, empowering developers to tailor solutions to precise specifications. The CPU's design reflects the forefront of RISC-V innovation, emphasizing its role in the future of versatile computing solutions. TT-Ascalon™ not only represents a leap in processor design but also reinforces Tenstorrent's role as a pioneer in semiconductor innovation, ensuring that their solutions remain at the cutting edge of technology.
The ARC Processor family offers highly configurable RISC and DSP cores designed for energy-efficient and high-performance applications. These processors are tailored to meet specific application requirements through customizable instruction sets and support for a variety of add-ons such as security extensions and DSP functionality. Synopsys ARC processors are optimal for applications within automotive, IoT, consumer electronics, and more. They provide flexibility for system designers to balance performance, power, and area, often reducing the need for subsequent redesigns.
The Y90 represents a high-performance implementation of the Zilog Z180, utilizing designs with either 10k or 17k gates depending on configuration. This processor showcases superior technology for performance-critical tasks requiring increased operational throughput and resource efficiency. Systemyde provides the Y90 to address applications demanding precise computation and control, balancing efficiency and elevated function. It serves particularly well in environments needing dependable and quick instruction processing, leveraging the enhanced capabilities of its technical design base. Suitable for both intricate and broad purposes, the Y90 underscores versatile integration in existing and emerging system designs. Its large gate capacity complements its performance edge, designing memorable solutions for advanced operation environments necessitating improved power and execution speeds.
Specialty Microcontrollers from Advanced Silicon harness the capabilities of the latest RISC-V architectures for advanced processing tasks. These microcontrollers are particularly suited to applications involving image processing, thanks to built-in coprocessing units that enhance their algorithm execution efficiency. They serve as ideal platforms for sophisticated touch screen interfaces, offering a balance of high performance, reliability, and low power consumption. The integrated features allow for the enhancement of complex user interfaces and their interaction with other system components to improve overall system functionality and user experience.
The Wireless Baseband IP from Low Power Futures is engineered for ultra-efficient small-area deployment, particularly suited to resource-constrained environments. Integrating baseband processor hardware with optimized link layer or medium access control firmware, this IP ensures energy efficiency without compromising on performance. With its compact code size and low power demand, it finds applications in beacons, smart homes, and connected audio systems, making it a versatile choice for IoT solutions needing seamless integration into System on Chip (SoC) technologies. Its power and area-optimized design is complemented by built-in security measures, ensuring compliance with standard protocols and providing robust operational reliability across various smart applications.
The EOS S3 platform by QuickLogic integrates low-power voice processing capabilities within a compact framework. Utilized primarily in edge IoT devices, it is designed to deliver energy-efficient performance, making it an ideal choice for battery-dependent applications. This SoC solution facilitates extensive voice recognitions and commands, further enhancing connectivity and the user experience while minimizing the device's power requirements.
The xcore-200 is a versatile microcontroller renowned for its advanced multi-core processing capabilities and robustness in managing real-time applications. It is engineered to deliver high-performance outputs, making it an ideal choice for tasks that require precision and fast execution. With an emphasis on low-latency processing, the xcore-200 excels in applications such as voice and audio processing, enabling efficient interfacing and data management across various systems. Its architecture supports complex computational tasks while maintaining energy efficiency, a critical factor for applications across industrial and consumer sectors. Integrating flexible I/O capabilities, it is highly adaptable to a diverse range of hardware environments. This flexibility ensures it can meet the custom needs of projects, continuous with rapidly evolving technology landscapes, emphasizing smart and connected solutions.
The Y90-180 marks a premium extension to the original Zilog Z80180 with a high-performance configuration demanding around 18k gates. It is tailored for progressive application spheres requiring advanced microprocessor functionalities and operational integrity. Introducing improved formats and capacity, the Y90-180 delivers rapid processing and flawless solution integration into complex and resource-hungry systems. This input adds substantial leverage in terms of signal computation and data-intensive task management founded on reliable structural designs. Positioned to cater both traditional and modern computational demands, the Y90-180 meets extensive design standards imperative for evolving system landscapes. Its robust design proposition ensures utility in pivotal processing ventures ensuring consistency and high-output deliverability in aligned frameworks.
The IP Platform for Low-Power IoT is a robust, pre-validated system developed by Low Power Futures to accelerate product development cycles and facilitate the integration of IoT capabilities. These platforms are designed as complete solutions comprising all essential building blocks for smart, secure, and AI-enabled IoT devices. They are particularly focused on low power consumption, making them ideal for applications such as smart sensors, healthcare, and smart home technologies. The platforms support both ARM and RISC-V processors and are easily customizable, providing a flexible solution for developers aiming to bring innovative IoT products to market with increased speed and efficiency.
FortiMac offers a secure implementation of HMAC SHA2, aimed at providing strong resistance to side-channel and fault injection attacks. Utilizing the Threshold Implementation paradigm ensures its ability to protect critical applications, both in software and hardware deployments. FortiMac's market distinction lies in its unique capability of employing only a minimal number of standard digital gates, while concurrently offering robust security for SCA and FIA threats.
Join the world's most advanced semiconductor IP marketplace!
It's free, and you'll get all the tools you need to discover IP, meet vendors and manage your IP workflow!
Join the world's most advanced AI-powered semiconductor IP marketplace!
It's free, and you'll get all the tools you need to advertise and discover semiconductor IP, keep up-to-date with the latest semiconductor news and more!
Plus we'll send you our free weekly report on the semiconductor industry and the latest IP launches!