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.
Vehicle Engineering & Design Solutions by KPIT revolve around transforming vehicle development through cutting-edge design and simulation technologies. By employing advanced Computer Aided Design (CAD) and virtual prototyping, KPIT enhances product development and market entry speed. The focus is on aligning vehicle aesthetics with functional performance, ensuring that vehicles not only appeal to modern consumers but also comply with modern sustainability mandates. KPIT’s holistic approach offers comprehensive solutions that simplify the design and validation processes, fostering innovation in both conventional and electric vehicle configurations.
The D25F from Andes Technology is a feature-rich processor core built on a 32-bit, 5-stage pipeline architecture. It supports the DSP/SIMD P-extension, offering enhanced signal processing and computational capabilities, making it ideal for media processing, IoT applications, and other compute-intensive tasks. This core balances high throughput with power efficiency, leveraging a well-optimized pipeline to ensure reduced processing delays and improved execution times. Its compatibility with the RISC-V instruction set allows it to integrate into a variety of customizable systems.
The RV12 RISC-V Processor is a highly customizable, single-core processor that aligns with the RV32I and RV64I standards. Crafted for the embedded market, this processor is part of Roa Logic's robust family of 32-bit and 64-bit CPUs based on the RISC-V instruction set. The RV12 architecture employs a Harvard structure, enabling concurrent access to instruction and data memory, which boosts performance and efficiency. Designed to meet the demands of modern embedded applications, the RV12 employs a single-issue architecture, optimizing processing effectiveness without the complexity of multi-threading. This processing unit is compatible with a diverse set of applications, offering scalability and versatility while maintaining alignment with industry standard specifications. Additionally, the RV12 comes equipped with a full suite of supportive resources, including testbenches and in-depth documentation. Such features facilitate seamless integration and deployment in various applications, ranging from consumer electronics to more complex industrial uses.
Cortus CIoT25 is an inventive solution aimed at enhancing IoT connectivity with its ultra-energy-efficient RISC-V architecture. Supporting Sub-1 GHz unlicensed ISM bands, the CIoT25 makes IoT devices smarter and more efficient, reducing both power consumption and operational costs significantly. The design is specifically crafted for smart home devices and low-power sensor networks, offering unparalleled integration in the IoT domain. The CIoT25's unique architecture ensures high adaptability to varying IoT environments, enabling tailored performance delivery for distinct applications. Its comprehensive support for diverse communication protocols makes it an ideal candidate for multi-platform IoT setups, leading to widespread adoption among IoT service providers seeking reliable communication hardware. With the increasing demands of connected environments, the CIoT25 meets the intricate requirements of modern applications by offering seamless functionality over extended periods, largely due to its low operational energy demand. This microcontroller is set to empower a new wave of IoT devices with its intelligent resource management and superior data handling capabilities.
The AX45MP is a high-performance processor core from Andes Technology, designed for demanding computational tasks. It features a 64-bit architecture with dual-issue capability, enhancing its data throughput. This processor is suited for applications needing robust data and memory handling, including AI, machine learning, and signal processing. Its architecture includes instruction and data prefetch capabilities, alongside a sophisticated cache management system to improve execution speed and efficiency. The AX45MP operates on a multicore setup supporting up to 8 cores, providing exceptional parallel processing power for complex applications.
NeuroMosAIc Studio is a comprehensive software platform designed to accelerate AI development and deployment across various domains. This platform serves as an essential toolkit for transforming neural network models into hardware-optimized formats specific for AiM Future's accelerators. With broad functionalities including conversion, quantization, compression, and optimization of neural networks, it empowers AI developers to enhance model performance and efficiency. The studio facilitates advanced precision analysis and adjustment, ensuring models are tuned to operate optimally within hardware constraints while maintaining accuracy. Its capability to generate C code and provide runtime libraries aids in seamless integration within target environments, enhancing the capability of developers to leverage AI accelerators fully. Through this suite, companies gain access to an array of tools including an NMP compiler, simulator, and support for NMP-aware training. These tools allow for optimized training stages and quantization of models, providing significant operational benefits in AI-powered solutions. NeuroMosAIc Studio, therefore, contributes to reducing development cycles and costs while ensuring top-notch performance of deployed AI applications.
The Low Power RISC-V CPU IP from SkyeChip is crafted to deliver efficient computation with minimal power consumption. Featuring the RISC-V RV32 instruction set, it supports a range of functions with full standard compliance for instruction sets and partial support where necessary. Designed exclusively for machine mode, it incorporates multiple vectorized interrupts and includes comprehensive debugging capabilities. This CPU IP is well-suited for integration into embedded systems where power efficiency and processing capability are crucial.
A robust and versatile CPU architecture from Andes Technology, the A25 processor is built on a 32-bit, 5-stage pipeline that efficiently handles general computing tasks. This processor caters to a wide array of applications, including embedded, IoT, and low-power devices. Its design balances performance with power efficiency, making it suitable for systems where energy conservation is crucial. With support for multiple core configurations, the A25 enables parallel processing capabilities, enhancing its utility in complex computations.
The RISC-V Core IP from AheadComputing represents a significant advancement in open-source processor design, bringing innovative approaches to power and performance scaling. Engineered to cater to a broad range of applications from embedded systems to advanced data centers, this core IP leverages the agility of the RISC-V architecture to deliver customizable computing solutions. AheadComputing's RISC-V cores are designed with a keen focus on energy efficiency and computing power, making them ideal for applications demanding high performance without compromising on power consumption. These cores are crafted using a modular design methodology, allowing for easy integration into existing ecosystems or customized configurations tailored to specific tasks or industry requirements. The RISC-V Core IP supports a variety of process nodes ensuring compatibility and optimal performance across different manufacturing platforms. Its architecture is equipped to handle heavy computational loads, making it an optimal choice for AI/ML, IoT, and HPC applications. By adopting a RISC-V design, AheadComputing not only embraces an open standard but also fosters innovation by encouraging customization and scalability. In a rapidly evolving tech landscape, this IP stands out due to its versatility and adaptability, providing a significant edge in terms of future-proofing and market responsiveness. The RISC-V Core's integration capabilities with various system components underscore its efficiency and effectiveness across diverse deployment scenarios.
The SiFive Essential processors offer a highly flexible IP platform, allowing customization to fit specific application needs. These processors span microcontrollers, IoT devices, real-time control, and general processing tasks. With options ranging from the most compact 2-3 stage MCUs to complex, superscalar designs suitable for Linux-based applications, the Essential series provides exceptional configurability. It caters to a wide range of market demands while maintaining a focus on power and area optimization, making it optimal for embedded systems and control plane processing.
The xcore.ai product line from XMOS represents a pioneering approach towards versatile and high-performance microcontroller solutions. Engineered to blend control, DSP, artificial intelligence, and low-latency input/output processing, the xcore.ai platform is optimized for a wide range of applications. This includes consumer electronics, industrial automation, and automotive industries where real-time data processing and robust computational power are crucial. With its advanced processing capabilities, xcore.ai facilitates the development of smart products by integrating AI functions directly into devices, making them more responsive and capable. This line of microcontrollers supports audio signal processing and voice control technologies, which are essential for modern smart home and entertainment applications. xcore.ai is uniquely designed to handle multiple data streams with precision while maintaining the low power consumption needed for sustainable product development. The product leverages XMOS's commitment to providing cycle-accurate software programmability, which allows developers to quickly adapt and customize hardware functions to meet specific needs. By fostering an environment where software and hardware seamlessly interact, xcore.ai not only supports rapid prototyping and deployment but also ensures long-term durability in demanding environments.
The NX Class processor introduces a 64-bit architecture tailored for demanding applications such as storage solutions, augmented and virtual reality, and artificial intelligence. It features an advanced system optimized for scalability and performance, with the ability to handle complex computational tasks efficiently. The architecture includes built-in security features, ensuring safe operations across various industries, from consumer electronics to enterprise-grade solutions. This class supports a wide range of RISC-V extensions, providing significant customization possibilities, so developers can optimize the processor to meet specific technical requirements, enhancing both functionality and efficiency. The NX Class is further bolstered by a comprehensive support ecosystem, including tools, software development kits, and real-time operating systems, positioning it as ideal for innovators looking to push the boundaries of modern technology applications.
The Tianqiao-80 is optimized for high-efficiency applications, bringing a balance between performance and power consumption. This CPU core targets scenarios that demand robust computational capabilities with an emphasis on efficiency, such as mobile devices, artificial intelligence, and automotive systems. Tailored specifically for high-efficiency needs, it provides the computational power needed while maintaining energy conservation. This 64-bit RISC-V CPU core offers extensive application coverage, ranging from desktop solutions to AI-driven functionalities. It is designed to meet the requirements of both mobile computing and desktop environments, ensuring that it supports modern, demanding applications efficiently. The architecture focuses on performance without compromise to energy consumption, making it a versatile option across various market segments. Part of the robust Tianqiao lineup, this core can be deployed in numerous configurations, supporting the expansion of IoT and AI technologies. It reflects StarFive's commitment to providing powerful yet energy-smart solutions that address evolving technological needs.
The Tianqiao-90 is a robust RISC-V CPU core designed for high-end applications, including data centers and advanced computation scenarios. It incorporates leading-edge design features such as superscalar and deep out-of-order execution, making it suitable for performance-intensive environments. The architecture supports standard RISC-V RV64GCBH extensions and has undergone substantial optimizations for performance and frequency, achieving SPECint2006 scores of 9.4 per GHz. Developed with multi-core scalability in mind, Tianqiao-90 allows configurations ranging from single-core to quad-core, enhancing its versatility for various applications. This CPU core simplifies SoC development processes and can be widely utilized across sectors like machine learning, mobile devices, and network communications. Its adaptability for memory coherence makes it ideal for multi-core systems. With a fabrication process at TSMC's 12nm node, the Tianqiao-90 offers exemplary efficiency in power consumption and area effectiveness, crucial for enterprise-level computation. Its high-frequency operation, reaching up to 2GHz, provides the necessary power for demanding computing tasks, ensuring swift and reliable performance in all deployed scenarios.
The N Class processor from Nuclei offers a 32-bit architecture designed for versatility in various applications such as microcontrollers and the AIoT sector. The processor is engineered to adhere to RISC-V open standards, ensuring wide compatibility and flexibility in its deployment. It features a single-issue pipeline with rich configurability, allowing users to select the exact features needed for their application, optimizing performance and resource utilization. This class is part of Nuclei's extensive CPU-subsystem solutions, making it apt for applications ranging from consumer electronics to Internet-of-Things devices. The N Class is backed by a strong ecosystem with toolchain support, Reflect Operating Systems like RTOS and Linux, and safety features, providing a comprehensive solution for developers.
The TSP1 Neural Network Accelerator by Applied Brain Research is a standout in the realm of AI chips, epitomizing advanced AI capabilities with exceptional efficiency. It handles complex workloads with ultra-low power consumption, making it an optimal choice for battery-powered devices. Key applications include enabling natural voice interfaces and bio-signal classification, pushing performance boundaries while ensuring low energy use. This chip is built on cutting-edge state-space neural network models, specifically the groundbreaking Legendre Memory Unit (LMU), which sets new standards in time series data processing. It integrates neural network processing elements for powerful signal pattern recognition, facilitating lower power, cost, and latency across applications. The TSP1 is tailored for the edge AI hardware landscape, suitable for AR/VR, smart home environments, and more. Technologically advanced, the TSP1 can independently process a wide array of sensor signal applications, maintaining high efficiency in real-time processing. Its robust architecture supports secure speech to text recognition and other sensory AI functions with low latency, reinforcing its capability as a leader in AI chip design. Offering a rich support matrix for audio inputs and communication interfaces, the TSP1 is geared to meet the rising demands of next-gen AI applications, delivering unparalleled data efficiency and scalability.
The Tianqiao-70 is crafted for low-power applications, delivering robust computing capabilities suitable for commercial-grade environments. Ideal for contexts requiring energy efficiency without sacrificing performance, this CPU caters to the needs of mobile, artificial intelligence, and desktop applications. Its 64-bit architecture is optimized to handle computational tasks with minimal energy expenditure. Perfectly positioned within the commercial market, the Tianqiao-70 provides essential features to meet various demands, including those of portable devices and energy-conscious desktops. It ensures that performance demands are met while maintaining an eco-friendly approach to energy consumption. With an emphasis on low power, this CPU core helps in the development of competitive products aimed at a broad spectrum of technology sectors. By prioritizing efficient power usage, it's an excellent choice for developers looking to innovate in resource-constrained areas while still achieving significant computational goals.
The C100 is a highly integrated, low-power IoT SoC chip designed to implement control and interconnection functionalities. It incorporates an advanced 32-bit RISC-V CPU, clocked at up to 1.5GHz, with embedded RAM and ROM for enhanced computational efficiency and capability. This chip integrates multiple transmission interfaces including Wi-Fi, and features components such as ADC, LDO, and temperature sensors, making it suitable for a broad range of IoT applications. Designed to facilitate simpler, faster, and wider application development, the C100 aims to offer high efficiency processing capabilities.
The Spiking Neural Processor T1 is a cutting-edge microcontroller tailored for applications requiring always-on sensing and ultra-low power consumption. Leveraging the computational strength of spiking neural networks (SNNs) and a robust RISC-V processor core, the T1 delivers exceptional signal processing performance on a single chip. This integration allows for efficient and quick sensor data processing, pushing AI and signal processing boundaries within power-limited environments. The processor excels in pattern recognition tasks, thanks to its analog-mixed signal neuromorphic architecture. Designed to handle a variety of application domains, the T1 offers versatile interfaces, including QSPI, I2C, UART, JTAG, and GPIO, along with a front-end ADC. This ensures compatibility with numerous sensor types, making it invaluable for devices that demand high accuracy and ultra-low energy consumption, such as wearable technology and remote sensing devices. Additionally, the T1's compact footprint and low energy requirements make it ideal for pervasive sensing tasks, ensuring non-stop pattern recognition with minimal energy expenditure. The availability of a comprehensive evaluation kit and development tools, like the Talamo SDK, further enhances its accessibility and ease of deployment in various projects.
The BA51 is an ultra-low-power, embedded processor core within the RISC-V family. Designed for energy-efficient applications, it is particularly suited to battery-operated devices. The core is designed to offer developers the flexibility needed to craft power-conscious designs while still achieving the computational prowess expected of a modern embedded system. Within the architecture of the BA51, several advanced measures are implemented to ensure power efficiency without sacrificing performance. The streamlined instruction set of the RISC-V architecture is harnessed to reduce the power draw, ensuring consistent operation under constrained power conditions. This adaptability makes the BA51 ideal for management in IoT devices, portable systems, and other domains where low-power usage is critical. The BA51 further supports integration options that minimize its footprint on silicon, ensuring it meets the cost and space requirements often encountered in compact designs. By leveraging the open-source nature of RISC-V, the BA51 offers an adaptable and cost-effective solution for modern computing needs.
SFA 300 is a cutting-edge solution designed for scalable, quad-channel video and data processing, enabling high-performance operations across a broad array of applications. Its architecture supports multiple video inputs and outputs simultaneously, making it ideal for complex environments requiring robust video management, such as broadcasting and large-scale surveillance systems. This solution excels in offering seamless transfer and conversion of video streams across different formats, ensuring optimal compatibility and performance. Enhanced by its scalable framework, it can be adapted to changes in video data size and processing demands, providing flexibility for expanding systems or evolving requirements. Moreover, SFA 300 implements energy-efficient protocols that minimize power consumption while maintaining high operational speed. Coupled with its advanced data security features, this solution ensures that video and associated data are processed reliably and safeguarded from unauthorized access or corruption, underscoring its suitability for critical data operations.
Optimized for modern applications, Advanced Silicon's Specialty Microcontrollers are constructed on the robust RISC-V architecture. These microcontrollers integrate advanced coprocessing units that significantly elevate performance metrics in image processing applications. They are strategically designed to enable complex algorithms that cater to sectors such as medical imaging and interactive user interfaces. These microcontrollers facilitate high-speed processing with embedded machine learning algorithms, making them ideal for innovative touch screen solutions. The integration of capacitive sensing capability in these chips ensures they can handle intricate interactions, including multi-touch recognition and object detection even under challenging conditions like liquid and EMI interference. Advanced Silicon's commitment to versatility is exemplified in these microcontrollers, as they offer both single-chip and multi-chip solutions. This allows applications to range from small touch interfaces to expansive formats required in educational or collaborative environments. The Specialty Microcontrollers exhibit a perfect blend of high integration, accuracy, and power efficiency, positioning them as critical elements in next-generation electronic systems.
The AIoT Platform from SEMIFIVE represents a convergence of artificial intelligence technologies and the Internet of Things, enabling smart and dynamic applications across various sectors. Designed for efficiency and adaptability, this platform supports the advancement of edge computing solutions. With a focus on low power consumption and high processing capability, the AIoT Platform can handle complex computations right at the device level. This power efficiency is vital for IoT devices that often operate in diverse and resource-constrained environments, allowing for extended operation without frequent battery changes. The platform's integration capabilities facilitate connectivity across a multitude of networks and devices, boosting interoperability and seamless communication within IoT ecosystems. By fostering innovation at the intersection of AI and IoT, SEMIFIVE's AIoT Platform empowers businesses to develop smarter, more responsive products that drive the future of interconnected technologies.
The BA25 is a high-performance application processor core designed by CAST for resource-intensive environments. As part of the RISC-V family, it delivers a substantial boost in computational capabilities, making it a prime choice for integrating into complex and demanding systems. Aimed at applications requiring increased data throughput and complex processing, the BA25 handles high-volume tasks efficiently. Its architecture is crafted to support applications in areas such as advanced networking, industrial control, and multimedia platforms, where reliable and rapid processing is a necessity. The core's efficiency and speed allow it to address the diverse processing needs at the heart of modern digital applications. Through its design, it presents a scalable and adaptable solution for developers seeking enhanced processing capabilities in their systems, while adhering to the principles of open-source flexibility offered by RISC-V.
Compact yet powerful, the Ceva NeuPro-Nano provides a specialized NPU solution for TinyML applications in AIoT devices. Built to handle a range of AI inferences with remarkable efficiency, it supports the development of energy-efficient intelligent devices. Whether deployed in wearables, smart home devices, or healthcare applications, it ensures rapid and precise AI operations.
Wasiela presents ASIPs—Application Specific Instruction Set Processors—as customizable hardware accelerators designed for tailored performance in specific applications. These processors combine specialized instruction sets with low-power operation to enhance the efficiency and flexibility of digital processing tasks. ASIPs from Wasiela provide significant benefits in environments where task-specific adaptations are crucial for optimal performance.
The nRF54L15 SoC is a part of Nordic Semiconductor's distinguished series of ultra-low-power wireless solutions. It features an integrated 2.4 GHz radio and MCU capabilities, built upon a 128 MHz Arm Cortex-M33 processor. This culmination of advanced circuitry offers an extensive peripheral set, including a 14-bit ADC and high-speed serial interfaces, making it suitable for energy-efficient Bluetooth Low Energy, Zigbee, Matter, and other protocols. Designed for applications demanding robust processing power, the nRF54L15 meets industrial-grade requirements while providing comprehensive programming flexibility. Its secure boot feature and firmware update capabilities are underscored by a cryptographic accelerator equipped with tamper detection, ensuring both performance and security. With 1.5 MB of non-volatile memory and 256 KB of RAM, it can handle demanding tasks while remaining cost-effective for high-volume production. The nRF54L15 is housed in QFN packages that are pin-to-pin compatible, facilitating easy integration into existing designs. This flexibility, combined with its capability to run a Wi-Fi stack for compatible companion ICs from the nRF70 Series, makes the nRF54L15 an attractive option for developing sophisticated IoT solutions targeting diverse sectors like smart homes, asset tracking, and more.
Arasan's I3C Host/Device Dual Role Controller IP facilitates communication in highly interactive environments, serving both host and device roles in complex electronic systems. It simplifies integration, promoting efficient data transfer under the I3C protocol. Offering high performance, the IP integrates features like High Data Rate Mode and in-band interrupt capability, enhancing compatibility and data throughput. Its flexibility in supporting multi-controller configurations allows for seamless interaction across a network of devices. This dual role IP is perfect for applications in advanced sensor arrays, IoT devices, and mobile platforms, where dynamic data exchange is crucial. Compliance with the latest I3C specifications ensures that it meets industry standards for reliability and performance.
The ML/AI Frameworks offered by Gyrus AI aim to bridge the technological divide between high-performance hardware and high-level software languages. This framework serves as a reference point for evaluating new hardware architectures, measuring their performance, power, and memory utilization for a range of neural network architectures, including CNNs, RNNs, and LSTMs. As hardware complexity increases with innovative architectures offering significant operations per second, these frameworks provide a crucial middleware layer that enhances efficiency. Gyrus AI develops middleware components to optimize the utilization of these hardware engines, ensuring that they can fully exploit the capabilities of advanced architectures such as Nvidia and AWS. The framework supports competitive benchmarking against well-known architectures, maintaining a focus on power, performance, and efficiency metrics. By doing so, it facilitates the integration of AI solutions into enterprise environments, ensuring that the advanced computation power available is harnessed to its fullest potential. The ML/AI Frameworks from Gyrus AI empower organizations to stay ahead in the rapidly evolving landscape of AI technologies.