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.
Continuing the evolution of AI at the edge, the 2nd Generation Akida provides enhanced capabilities for modern applications. This upgrade implements 8-bit quantization for increased precision and introduces support for Vision Transformers and temporal event-based neural networks. The platform handles advanced cognitive tasks seamlessly with heightened accuracy and significantly reduced energy consumption. Designed for high-performance AI tasks, it supports complex network models and utilizes skip connections to enhance speed and efficiency.
The NMP-750 serves as a high-performance accelerator IP for edge computing solutions across various sectors, including automotive, smart cities, and telecommunications. It supports sophisticated applications such as mobility control, factory automation, and energy management, making it a versatile choice for complex computational tasks. With a high throughput of up to 16 TOPS and a memory capacity scaling up to 16 MB, this IP ensures substantial computing power for edge devices. It is configured with a RISC-V or Arm Cortex-R/A 32-bit CPU and incorporates multiple AXI4 interfaces, optimizing data exchanges between Host, CPU, and peripherals. Optimized for edge environments, the NMP-750 enhances spectral efficiency and supports multi-camera stream processing, paving the way for innovation in smart infrastructure management. Its scalable architecture and energy-efficient design make it an ideal component for next-generation smart technologies.
The NMP-350 is designed to offer exceptional efficiency in AI processing, specifically targeting endpoint accelerations. This IP is well-suited for markets that require minimal power consumption and cost-effectiveness, such as automotive, AIoT/Sensors, Industry 4.0, smart appliances, and wearables. It enables a wide variety of applications, including driver authentication, digital mirrors, machine automation, and health monitoring. Technically, it delivers up to 1 TOPS and supports up to 1 MB local memory. The architecture is based on the RISC-V or Arm Cortex-M 32-bit CPU, ensuring effective processing capabilities for diverse tasks. Communication is managed via three AXI4 interfaces, each 128 bits wide, to handle Host, CPU, and Data interactions efficiently. The NMP-350 provides a robust foundation for developing advanced AI applications at the edge. Designed for ultimate flexibility, it aids in predictive maintenance and personalization processes in smart environments. With its streamlined architecture, it provides unmatched performance for embedded solutions, enabling seamless integration into existing hardware ecosystems.
KPIT's engineering and design solutions focus on accelerating vehicle development through new-age design and simulation techniques. This approach enables cost-efficient transformation and adherence to sustainability standards, offering integrated electrification solutions and cutting-edge design methodologies. KPIT's solutions in vehicle engineering support electric and hybrid vehicle innovation with advanced CAD tools, virtual prototyping, and AI augmentation.
The D25F processor is specifically built for high-frequency operations, offering low gate count as well as extreme power efficiency. Known for its robust design, it suits applications where performance and energy consumption are critical considerations, fitting industries that demand reliability and proficiency in their operations.
The RV12 RISC-V Processor is a versatile, highly configurable single-issue CPU designed for the embedded market, adhering to the RV32I and RV64I RISC-V instructions. This processor implements a Harvard architecture, enabling simultaneous access to instruction and data memory, enhancing overall performance. The RV12 is part of Roa Logic's extensive CPU family, which is characterized by flexibility and underpinning efficient resource utilization for embedded systems.
BrainChip's Akida is an advanced neuromorphic processor that excels in efficiency and performance, processing data similar to the human brain by focusing on essential sensory inputs. This approach drastically reduces power consumption and latency compared to conventional methods by keeping AI local to the chip. Akida’s architecture, which scales to support up to 256 nodes, allows for high efficiency with a small footprint. Nodes in the Akida system integrate Neural Network Layer Engines configurable as either convolutional or fully connected, maximizing processing power by handling data sparsity through event-based operations.
The AX45MP processor is a multi-core, 64-bit CPU core designed for high-performance computing environments. It supports vector processing and includes features like a level-2 cache controller to enhance data handling and processing speeds. This makes it ideal for rigorous computational tasks including scientific computing and large-scale data processing environments.
Aimed at performance-driven environments, the NMP-550 is an efficient accelerator IP optimized for diverse markets, including automotive, mobile, AR/VR, drones, and medical devices. This IP is crucial for applications such as driver monitoring, fleet management, image and video analytics, and compliance in security systems. The NMP-550 boasts a processing power of up to 6 TOPS and integrates up to 6 MB of local memory, empowering it to handle complex tasks with ease. It runs on a RISC-V or Arm Cortex-M/A 32-bit CPU and supports multiple high-speed interfaces, specifically three AXI4, 128-bit connections that manage Host, CPU, and Data traffic. This IP is engineered for environments demanding high performance with efficient power use, addressing modern technological challenges in real-time analytics and surveillance. The NMP-550 is adept at improving system intelligence, allowing for enhanced decision-making processes in connected devices.
The A25 processor series, part of AndesCore CPU portfolio, features a 32-bit high-performance core designed to handle diverse applications with efficiency. It offers capabilities such as data prefetch, exceptional power efficiency, and flexible application support, making it suitable for varied market needs across numerous platforms.
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 xcore.ai platform stands as an economical and high-performance solution for intelligent IoT applications. Designed with a unique multi-threaded micro-architecture, it supports applications requiring deterministic performance with low latency. The architecture features 16 logical cores, split between two multi-threaded processor tiles, which are equipped with 512 kB of SRAM and a vector unit for both integer and floating-point computations. This platform excels in enabling high-speed interprocessor communications, allowing tight integration among processors and across multiple xcore.ai SoCs. The xcore.ai offers scalable performance, adapting the tile clock frequency to meet specific application requirements, which optimizes power consumption. Its ability to handle DSP, AI/ML, and I/O processing within a singular development environment makes it a versatile choice for creating smart, connected products. The adaptability of the xcore.ai extends to various market applications such as voice and audio processing. It supports embedded PHYs for MIPI, USB, and LPDDR control processing, and utilizes FreeRTOS across multiple threads for robust multi-threading performance. On an AI and ML front, the platform includes a 256-bit vector processing unit that supports 8-bit to 32-bit operations, delivering exceptional AI performance with up to 51.2 GMACC/s. All these features are packaged within a development environment that simplifies the integration of multiple application-specific components. This makes xcore.ai an essential platform for developers aiming to leverage intelligent IoT solutions that scale with application needs.
The RISC-V CPU IP N Class is engineered to offer a versatile and highly configurable solution for microcontroller and AIoT applications. It supports a 32-bit architecture, making it ideal for scenarios that demand efficient performance and resource optimization. The IP includes comprehensive tools and resources, such as SDKs and RTOS/Linux support, to facilitate seamless integration into diverse computing environments. This IP supports various security and functional safety features, ensuring robust operation in critical applications. Its flexible configuration options allow for customization to meet specific system requirements, making it a prime choice for developers seeking a tailored solution without compromising on performance or security. Moreover, the N Class IP is backed by an ecosystem that includes tool-chains, SDKs, and other essential resources, providing an end-to-end solution for developers. Its adaptability and feature-rich design equip it to handle emerging demands in microcontroller applications, establishing it as a reliable and future-proof choice.
The Low Power RISC-V CPU IP from SkyeChip is crafted to deliver efficient computation with minimal power consumption. Featuring the RISC-V RV32 instruction set, it supports a range of functions with full standard compliance for instruction sets and partial support where necessary. Designed exclusively for machine mode, it incorporates multiple vectorized interrupts and includes comprehensive debugging capabilities. This CPU IP is well-suited for integration into embedded systems where power efficiency and processing capability are crucial.
The Talamo SDK is a powerful development toolkit engineered to advance the creation of sophisticated spiking neural network-based applications. It melds seamlessly with PyTorch, offering developers an accessible workflow for model building and deployment. This SDK extends the PyTorch ecosystem by providing the necessary infrastructure to construct, train, and implement spiking neural networks effectively. A distinguishing feature of Talamo SDK lies in its ability to map trained neural models onto the diverse computing layers inherent in the spiking neural processor hardware. This is complemented by an architecture simulator enabling fast validation, which accelerates the iterative design process by simulating hardware behavior and helping optimize power and performance metrics. Developers will appreciate the end-to-end application support within Talamo SDK, including the integration of standard neural network operations alongside spiking models, allowing for a comprehensive application pipeline. With ready-to-use models, even those without detailed SNN knowledge can develop powerful AI-driven applications swiftly, benefiting from high-level profiling and optimization tools.
The SiFive Essential family is all about customization and configurability, meeting diverse market conditions with a range from low-power embedded systems to high-performance application processors. SiFive's Essential processors boast scalability in performance, allowing them to cater to applications like IoT devices and real-time control. This customization extends to their architecture, facilitating specific configurations to match exact needs, highlighting their utility in varied industrial applications.
The NX Class of RISC-V CPU IP is crafted to serve the needs of applications such as storage, AR/VR, and AI with its potent 64-bit architecture. Its design focus lies in offering enhanced computing capabilities and data throughput, pivotal for tasks demanding high-efficiency processing. With features that support advanced data handling and computational tasks, the NX Class IP is well-suited for environments where large datasets and complex algorithms are at play. This makes it an excellent fit for AR/VR applications, where real-time data processing is paramount. The IP is complemented by an extensive development ecosystem, including SDKs and support for various RTOS/Linux environments. Its design ensures compatibility with state-of-the-art technologies, providing a reliable foundation for innovative industry solutions.
Optimized for power efficiency and high-frequency operations, the Tianqiao-80 CPU core is crafted for applications requiring fast processing speeds with minimal power consumption. It targets mobile, automotive, and intelligent computing applications with its 64-bit RISC-V architecture. This core supports scalable performance and features efficient processing ideal for workload-intensive environments.
The SCR7 is a 64-bit high-performance RISC-V core designed for intensive data processing applications. With support for vector operations and various RISC-V extensions, it is equipped with a 12-stage dual-issue pipeline. It caters to fields such as AI, ML, and high-performance computing, benefitting from its robust multicore support and advanced interrupt management systems.
The Chipchain C100 is a sophisticated single-chip solution tailored for Internet of Things (IoT) applications. It incorporates a 32-bit RISC-V CPU, capable of running at speeds up to 1.5GHz, making it ideal for high-performance computing tasks. With built-in RAM and ROM, it provides efficient processing and memory capabilities. The C100 features integrated wireless communication through Wi-Fi, alongside various transmission interfaces. This makes the chip versatile for a wide range of applications while maintaining low power consumption. It also includes essential components like an analog-to-digital converter (ADC), low dropout regulators (LDO), and a temperature sensor. Designed for ease of use in diverse IoT environments, the C100 facilitates simpler, faster development, making it suitable for security systems, smart homes, toys, games, and healthcare applications. Its integration of multiple functionalities in a compact design ensures reliable performance across industries.
The RISC-V Core IP from AheadComputing is their flagship offering, built on the highly versatile and increasingly popular RISC-V architecture. This core IP represents their dedication to bringing efficient and powerful processing capabilities to the market. It is designed with flexibility in mind, ensuring adaptability across a wide range of applications from consumer electronics to high-performance computing systems.\n\nAheadComputing's RISC-V Core IP is crafted to optimize performance metrics such as power efficiency and processing speed, making it a perfect fit for next-generation computing demands. The architecture allows for a high degree of customization, providing clients the ability to tailor the IP to meet specific computational and architectural needs.\n\nFurthermore, this RISC-V core is backed by AheadComputing's robust verification processes, ensuring that the core meets stringent quality and performance standards. The IP is supported by the expertise of the company's founding engineers, whose backgrounds in major tech firms like Intel lend credibility and reliability to their designs.
The Origami Programmer from Menta is a sophisticated software tool designed to facilitate the synthesis, placement, and routing of designs onto Menta’s eFPGA architecture. This robust programming software is optimized specifically for Menta's eFPGA, allowing users to tailor their RTL for optimal functionality and performance outcomes.\n\nSupporting multiple design formats such as IEEE VHDL, Verilog, and System-Verilog, the Origami Programmer is equipped with a user-friendly interface that supports aspects like manual floor planning and precise resource utilization summaries. This toolset also provides extensive ">static timing analysis and performance estimation capabilities, catering to the needs of both iterative design refinement and high-stakes application execution.\n\nBy making use of proprietary algorithms that are free from export-control and patent entanglements, Menta ensures that the Origami Programmer delivers an unparalleled synthesis experience. This ensures high accuracy in timing and I/O constraints adherence, ultimately leading to logic that is perfectly adapted to the targeted embedded FPGA architecture.
SCR6 is a high-performance 64-bit RISC-V microcontroller core, geared towards embedded applications needing significant computational power. Featuring a 12-stage out-of-order superscalar pipeline and support for vector operations, it serves applications like motor control and sensor fusion. The SCR6 core supports multicore systems, ensuring efficient processing and integration of external accelerators.
The AIoT Platform engineered by SEMIFIVE is meticulously crafted to cater to the burgeoning demands of AI-powered IoT applications. It is built on the efficient and versatile SiFive dual-core U54 RISC-V architecture, paired with the LPDDR4x memory interface to ensure robust data handling and processing. Complemented by a comprehensive range of connectivity options, including USB3.0 and MIPI CSI, this platform is primed for edge compute applications. Specifically designed for smart home, robotics, and other AIoT applications, the platform aims to fuse intelligence with connectivity. It empowers developers by offering ready-to-use components that speed up development cycles, thereby facilitating quicker market entry strategies. These features are combined with an ideal balance of power consumption and performance to accommodate the typical requirements of IoT devices. The platform's flexibility in integrating various sensors and peripherals, alongside its strong processing capabilities, positions it perfectly for tasks that require real-time processing and responsiveness, working seamlessly in networked environments to provide intelligent, connected experiences.
These derivatives are designed to provide exceptional interface capabilities for various sensor-based applications. With an emphasis on precision and efficiency, they enable seamless integration of sensors into larger systems, ensuring accurate data acquisition and processing. The IP supports a broad spectrum of sensor types, making it flexible for applications that require real-time monitoring and feedback. This adaptability is crucial for sectors like IoT, where sensor integration is critical.
The Tianqiao-90 core is designed as a high-performance commercial-grade RISC-V CPU. It includes features like super scalar out-of-order execution, a twelve-stage pipeline, and robust support for the RISC-V RV64GCBH extension. Engineered for high-performance computing, this CPU core is optimized for data centers, PCs, and high-end mobile applications. It is capable of delivering a SPECint2006 of 9.4/GHz and maintains high efficiency in power and area usage, making it suitable for demanding environments.
The Spiking Neural Processor T1 is a groundbreaking ultra-low power microcontroller designed for sensing applications that require continuous monitoring and rapid data processing while maintaining minimal energy consumption. At its core, it fuses an event-driven spiking neural network engine with a RISC-V processor, creating a hybrid chip that effectively processes sensor inputs in real-time. By boosting the power-performance efficiency in dealing with intricate AI tasks, the T1 chip allows for a wide range of applications even in battery-limited environments. In terms of capabilities, the T1 is equipped with a 32-bit RISC-V core and a substantial 384 KB embedded SRAM, which together facilitate fast recognition of patterns within sensor data such as audio signals. The processor draws on the inherent advantages of spiking neural networks, which are adept at task handling through time-sensitive events. This aspect of SNNs enables them to operate with impressive speed and with significantly reduced power requirements compared to conventional architectures. Additional features include numerous interfaces such as QSPI, I2C, UART, and JTAG, providing versatile connectivity options for various sensors. Housed in a compact 2.16mm x 3mm package, the T1 is an ideal candidate for space-constrained applications. It stands out with its ability to execute both spiking and classical neural network models, facilitating complex signal processing tasks ranging from audio processing to inertial measurement unit data handling.
The DQ80251 stands out as a high-performance, quad-pipeline design soft core of a 16-bit/32-bit embedded microcontroller that is fully optimized for speed. It is a successor of the 8051 and 80251 architectures, offering compatibility with industry standards while delivering unmatched performance. This core demonstrates extensive processing capabilities, making it suitable for applications demanding speed and efficiency. Engineered to tackle modern challenges, the DQ80251 offers a robust code space of up to 8MB, which accommodates complex software deployment. It reaches a processing speed of 75.08 DMIPS at maximum frequency, far exceeding traditional benchmarks. Features like a sophisticated interrupt system help to significantly boost response times in real-time applications, ensuring that the DQ80251 is versatile across various demanding environments. With its power-packed architecture, the DQ80251 can handle intensive workloads typically associated with advanced microcontroller tasks. It brings an optimized solution for various sectors including automotive, telecommunications, and consumer electronics, providing system architects with enhanced flexibility and control.
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 SFA 300 is designed for scalable quad-channel video and data processing, allowing for the high-capacity handling of multiple data streams simultaneously. Its scalable nature makes it suitable for diverse applications ranging from advanced multimedia systems to complex data analytics, ensuring steady data throughput and optimal performance. The architecture supports the simultaneous processing of video and data, making it ideal for high-demand environments such as video surveillance and multimedia streaming.
The ARC Processor from Synopsys is renowned for its customizable and high-efficiency design, catering to a diverse array of embedded applications. Built on a RISC architecture, the ARC processor IP provides remarkable power performance, optimizability, and adaptability, making it indispensable for applications in automotive, storage, IoT, and more. Offering a comprehensive portfolio that includes 32-/64-bit CPUs, DSPs, and neural network processors, the ARC processor IP can be tailored to suit specific application needs through its extensible instruction set and configurable design. This flexibility ensures that designers can achieve an optimal balance of power, performance, and area (PPA) metrics tailored for the most demanding environments. Synopsys supports the ARC processor family with extensive development tools, including integrated IDEs and a robust ecosystem of software and middleware partners. This allows for efficient development cycles and streamlined integration, making the ARC processor a preferred choice for designers aiming for both high performance and low-power execution in their next-generation systems.
The Tianqiao-70 is tailored for ultra-low power consumption while maintaining high performance, making it ideal for embedded applications across various sectors. This processor core supports 64-bit RISC-V architecture and is well-suited for mobile and smart device environments where power usage is critical. It offers a robust architecture designed to manage complex computational tasks efficiently while optimizing battery life.
The BA51 is an ultra-low-power, deeply embedded processor core based on the RISC-V architecture. It's designed for applications where energy efficiency is critical. This core offers high performance while maintaining an extremely low power footprint, ideal for IoT devices and portable electronics. It supports a wide range of peripheral interfaces to provide flexibility in design implementations.
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 nRF54L15 stands at the forefront of Nordic Semiconductor's ultra-low-power wireless offerings, part of their advanced nRF54L Series. With its integrated 128 MHz Arm Cortex-M33 processor, the nRF54L15 combines multiprotocol capabilities, including support for Bluetooth Low Energy, Zigbee, Thread, and other 2.4 GHz protocols. This SoC is versatile enough to run a Wi-Fi stack for the nRF70 Series ICs, making it highly adaptable for various IoT applications. The nRF54L15 offers an impressive 1.5 MB of non-volatile memory and 256 KB of RAM, catering to demanding applications that require extensive memory resources. Its ultra-low-power design ensures efficient battery utilization, making it suitable for high-volume, cost-sensitive products. Security is a key feature, with the nRF54L15 providing secure boot, secure firmware updates, and secure storage solutions. A cryptographic accelerator with anti-tampering features enhances security, offering peace of mind in IoT deployments. The comprehensive peripheral set, including a 14-bit ADC and high-speed serial interfaces, makes the nRF54L15 a robust solution for next-generation IoT devices.
The Akida1000 Reference SoC exemplifies how advanced AI processing units can be integrated into real-world systems. Empowering developers through a fully operational prototype, it enables the creation of sophisticated, intelligent systems like autonomous vehicles and smart homes. With architectures supporting 1.2 million neurons and 10 billion synapses, it can function as both a stand-alone AI accelerator and a supporting co-processor, accommodating varied applications that demand real-time responsiveness and high computational throughput.
The I3C Host/Device Dual Role Controller IP from Arasan Chip Systems is engineered to provide flexible data management in high-speed communication environments. This IP facilitates seamless interconnection between multiple peripherals, leveraging the superior data handling capabilities of the I3C protocol. Designed to bridge legacy I2C devices and newer I3C components, this IP simplifies data transfers, maintaining high efficiency across interfaces. It incorporates advanced queuing and timing mechanisms, ensuring minimal latency and maximizing throughput, which is vital for applications relying on synchronized multi-device communication. With support for advanced power management features, the I3C Dual Role Controller IP is optimized for low power consumption, making it an ideal candidate for IoT devices and sensor arrays where long battery life is crucial. The flexibility of dual-role operation provides developers with the tools needed to build versatile and robust system architectures, enhancing functionality and reliability in product designs.