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 second generation of BrainChip's Akida platform expands upon its predecessor with enhanced features for even greater performance, efficiency, and accuracy in AI applications. This platform leverages advanced 8-bit quantization and advanced neural network support, including temporal event-based neural nets and vision transformers. These advancements allow for significant reductions in model size and computational requirements, making the Akida 2nd Generation a formidable component for edge AI solutions. The platform effectively supports complex neural models necessary for a wide range of applications, from advanced vision tasks to real-time data processing, all while minimizing cloud interaction to protect data privacy.
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 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 AI Camera Module from Altek Corporation is a testament to their prowess in integrating complex imaging technologies. With substantial expertise in lens design and an adeptness for soft-hard integration capabilities, Altek partners with top global brands to supply a variety of AI-driven cameras. These cameras meet diverse customer demands in AI+IoT differentiation, edge computing, and high-resolution image requisites of 2K to 4K quality. This module's ability to seamlessly engage with the latest AI algorithms makes it ideal for smart environments requiring real-time data analysis and decision-making capabilities.
Focused on the advancement of autonomous mobility, KPIT's ADAS and Autonomous Driving solutions aim to address the multifaceted challenges that come with higher levels of vehicle autonomy. Safety remains the top priority, necessitating comprehensive testing and robust security protocols to ensure consumer trust. Current development practices often miss crucial corner cases by concentrating largely on standard conditions. KPIT tackles these issues through a holistic, multi-layered approach. Their solutions integrate state-of-the-art AI-driven decision-making systems that extend beyond basic perception, enhancing system reliability and intelligence. They've established robust simulation environments to ensure feature development covers all conceivable driving scenarios, contributing to the broader adoption of Level 3 and up autonomous systems. The company also offers extensive validation frameworks combining various testing methodologies to continually refine and prove their systems. This ensures each autonomous feature is thoroughly vetted before deployment, firmly positioning KPIT as a trusted partner for automakers aiming to bring safe, reliable, and highly autonomous vehicles to market.
The RV12 is a versatile, single-issue RISC-V compliant processor core, designed for the embedded market. With compliance to both RV32I and RV64I specifications, this core is part of Roa Logic's 32/64-bit CPU offerings. Featuring a Harvard architecture, it efficiently handles simultaneous instruction and data memory operations. The architecture is enhanced with an optimizing folded 4-stage pipeline, maximizing the overlap of execution with memory access to reduce latency and boost throughput. Flexibility is a cornerstone of the RV12 processor, offering numerous configuration options to tailor performance and efficiency. Users can select optional components such as branch prediction units, instruction and data caches, and a debug unit. This configurability allows designers to balance trade-offs between speed, power consumption, and area, optimizing the core for specific applications. The processor core supports a variety of standard software tools and comes with a full suite of development resources, including support for the Eclipse Integrated Development Environment (IDE) and GNU toolchain. The RV12 design emphasizes a small silicon footprint and power-efficient operation, making it ideal for a wide range of embedded applications.
BrainChip's Akida IP is an innovative neuromorphic processor that emulates the human brain's functionalities to analyze essential sensor inputs at the acquisition point. By maintaining AI/ML processes on-chip, Akida IP minimizes cloud dependency, reducing latency and enhancing data privacy. The scalable architecture supports up to 256 nodes interconnected over a mesh network, each node equipped with configurable Neural Network Layer Engines (NPEs). This event-based processor leverages data sparsity to decrease operational requirements significantly, which in turn improves performance and energy efficiency. With robust customization and the ability to perform on-chip learning, Akida IP adeptly supports a wide range of edge AI applications while maintaining a small silicon footprint.
As the SoC that placed Kneron on the map, the KL520 AI SoC continues to enable sophisticated edge AI processing. It integrates dual ARM Cortex M4 CPUs, ideally serving as an AI co-processor for products like smart home systems and electronic devices. It supports an array of 3D sensor technologies including structured light and time-of-flight cameras, which broadens its application in devices striving for autonomous functionalities. Particularly noteworthy is its ability to maximize power savings, making it feasible to power some devices on low-voltage battery setups for extended operational periods. This combination of size and power efficiency has seen the chip integrated into numerous consumer product lines.
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 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 xcore.ai platform from XMOS is engineered to revolutionize the scope of intelligent IoT by offering a powerful yet cost-efficient solution that combines high-performance AI processing with flexible I/O and DSP capabilities. At its heart, xcore.ai boasts a multi-threaded architecture with 16 logical cores divided across two processor tiles, each equipped with substantial SRAM and a vector processing unit. This setup ensures seamless execution of integer and floating-point operations while facilitating high-speed communication between multiple xcore.ai systems, allowing for scalable deployments in varied applications. One of the standout features of xcore.ai is its software-defined I/O, enabling deterministic processing and precise timing accuracy, which is crucial for time-sensitive applications. It integrates embedded PHYs for various interfaces such as MIPI, USB, and LPDDR, enhancing its adaptability in meeting custom application needs. The device's clock frequency can be adjusted to optimize power consumption, affirming its cost-effectiveness for IoT solutions demanding high efficiency. The platform's DSP and AI performances are equally impressive. The 32-bit floating-point pipeline can deliver up to 1600 MFLOPS with additional block floating point capabilities, accommodating complex arithmetic computations and FFT operations essential for audio and vision processing. Its AI performance reaches peaks of 51.2 GMACC/s for 8-bit operations, maintaining substantial throughput even under intensive AI workloads, making xcore.ai an ideal candidate for AI-enhanced IoT device creation.
The NaviSoC by ChipCraft is a highly integrated GNSS system-on-chip (SoC) designed to bring navigation technologies to a single die. Combining a GNSS receiver with an application processor, the NaviSoC delivers unmatched precision in a dependable, scalable, and cost-effective package. Designed for minimal energy consumption, it caters to cutting-edge applications in location-based services (LBS), the Internet of Things (IoT), and autonomous systems like UAVs and drones. This innovative product facilitates a wide range of customizations, adaptable to varied market needs. Whether the application involves precise lane-level navigation or asset tracking and management, the NaviSoC meets and exceeds market expectations by offering enhanced security and reliability, essential for synchronization and smart agricultural processes. Its compact design, which maintains high efficiency and flexibility, ensures that clients can tailor their systems to exact specifications without compromise. NaviSoC stands as a testament to ChipCraft's pioneering approach to GNSS 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 SCR7 is a 64-bit RISC-V application core crafted to meet high-performance demands of applications requiring powerful data processing. Featuring a sophisticated dual-issue pipeline with out-of-order execution, it enhances computational efficiency across varied tasks. The core is equipped with a robust floating-point unit and supports extensive RISC-V ISA extensions for advanced computing capabilities. SCR7's memory system includes L1 to L3 caches, with options for expansive up to 16MB L3 caching, ensuring data availability and integrity in demanding environments. Its multicore architecture supports up to eight cores, facilitating intensive computational tasks across industries such as AI and machine learning. Ideal for high-performance computing and big data applications, the SCR7 leverages its advanced interrupt systems and intelligent memory management for seamless operation. Comprehensive development resources, from simulators to SDKs, augment its integration across Linux-based systems, accelerating project development timelines.
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 Y180 is a streamlined microprocessor design, incorporating approximately 8K gates and serving primarily as a CPU clone of the Zilog Z180. It caters to applications requiring efficient, compact processing power without extensive resource demands. Its design is particularly apt for systems that benefit from Z80 architecture compatibility, ensuring effortless integration and functionality within a variety of technological landscapes.
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 Tyr Superchip is engineered to tackle the most daunting computational challenges in edge AI, autonomous driving, and decentralized AIoT applications. It merges AI and DSP functionalities into a single, unified processing unit capable of real-time data management and processing. This all-encompassing chip solution handles vast amounts of sensor data necessary for complete autonomous driving and supports rapid AI computing at the edge. One of the key challenges it addresses is providing massive compute power combined with low-latency outputs, achieving what traditional architectures cannot in terms of energy efficiency and speed. Tyr chips are surrounded by robust safety protocols, being ISO26262 and ASIL-D ready, making them ideally suited for the critical standards required in automotive systems. Designed with high programmability, the Tyr Superchip accommodates the fast-evolving needs of AI algorithms and supports modern software-defined vehicles. Its low power consumption, under 50W for higher-end tasks, paired with a small silicon footprint, ensures it meets eco-friendly demands while staying cost-effective. VSORA’s Superchip is a testament to their innovative prowess, promising unmatched efficiency in processing real-time data streams. By providing both power and processing agility, it effectively supports the future of mobility and AI-driven automation, reinforcing VSORA’s position as a forward-thinking leader in semiconductor technology.
The Ultra-Low-Power 64-Bit RISC-V Core by Micro Magic, Inc. is engineered to operate efficiently with minimal power consumption, making it a standout solution for high-performance applications. This processor core is capable of running at an impressive 5GHz, yet it only consumes 10mW at 1GHz, illustrating its capability to deliver exceptional performance while keeping power usage to a minimum. Ideal for scenarios where energy efficiency is crucial, it leverages advanced design techniques to reduce voltage alongside high-speed processing. Maximizing power efficiency without compromising speed, this RISC-V core is suited for a wide array of applications ranging from IoT devices to complex computing systems. Its design allows it to maintain performance even at lower power inputs, a critical feature in sectors that prioritize energy savings and sustainability. The core's architecture supports full configurability, catering to diverse design needs across different technological fields. In addition to its energy-efficient design, the core offers robust computational capabilities, making it a competitive choice for companies looking to implement high-speed, low-power processing solutions in their product lines. The flexibility and power of this core accentuate Micro Magic's commitment to delivering top-tier semiconductor solutions that meet the evolving demands of modern technology.
The SCR6 is a high-performance microcontroller core optimized for demanding embedded applications requiring substantial computational power. Its out-of-order 12-stage pipeline, complemented by a superscalar architecture, enhances processing speeds, making it ideal for real-time systems. Supporting a wide range of RISC-V ISA extensions, including cryptography and bit manipulation, SCR6 caters to secure and efficient data operations. The SCR6's memory subsystem is robust, featuring dual-level caches augmented with an L3 network-on-chip option. This rich memory architecture, along with efficient interrupt processing via APLIC units, ensures smooth high-speed data throughput in intensive applications. The core supports heterogeneous multicore configurations, enhancing parallel task execution. Designed for industrial and IoT environments, SCR6 comes with extensive development support. Its toolkit includes simulations, FPGA-based SDKs, and integration resources, facilitated through industry-standard interfaces, ensuring rapid development cycles and application deployment.
SiFive Essential family offers a highly customizable set of processor IPs suitable for a range of applications, from embedded microcontrollers to full-fledged Linux-capable designs. This family presents the flexibility to tailor power, area, and performance metrics according to specific market needs, ensuring that designers can optimize their solutions for diverse applications. The Essential lineup is structured to allow easy adaptability, featuring scalable microarchitectures that cater to every stage of product development. From lightweight, power-efficient processors optimized for IoT devices to more robust configurations designed for real-time control and processing, SiFive Essential processors cover a broad spectrum of use cases. Key features include advanced trace and debug capabilities and an open, scalable platform enhancing the overall security of SoC designs. With its comprehensive customization options, the Essential family is perfect for designers who need to strike a balance between performance and power efficiency. This versatility positions the SiFive Essential series as a cornerstone in providing quality RISC-V solutions, allowing for innovation without compromise on customizability and scalability.
The Spiking Neural Processor T1 is an innovative ultra-low power microcontroller designed for always-on sensing applications, bringing intelligence directly to the sensor edge. This processor utilizes the processing power of spiking neural networks, combined with a nimble RISC-V processor core, to form a singular chip solution. Its design supports next-generation AI and signal processing capabilities, all while operating within a very narrow power envelope, crucial for battery-powered and latency-sensitive devices. This microcontroller's architecture supports advanced on-chip signal processing capabilities that include both Spiking Neural Networks (SNNs) and Deep Neural Networks (DNNs). These processing capabilities enable rapid pattern recognition and data processing similar to how the human brain functions. Notably, it operates efficiently under sub-milliwatt power consumption and offers fast response times, making it an ideal choice for devices such as wearables and other portable electronics that require continuous operation without significant energy draw. The T1 is also equipped with diverse interface options, such as QSPI, I2C, UART, JTAG, GPIO, and a front-end ADC, contained within a compact 2.16mm x 3mm, 35-pin WLCSP package. The device boosts applications by enabling them to execute with incredible efficiency and minimal power, allowing for direct connection and interaction with multiple sensor types, including audio and image sensors, radar, and inertial units for comprehensive data analysis and interaction.
The C100 from Chipchain is a highly integrated, low-power consumption single-chip solution tailored for IoT applications. Featuring an advanced 32-bit RISC-V CPU capable of operating at speeds up to 1.5GHz, it houses embedded RAM and ROM for efficient processing and computational tasks. This chip's core strength lies in its multifunctional nature, integrating Wi-Fi, various transmission interfaces, an ADC, LDO, and temperature sensors, facilitating a streamlined and rapid application development process. The C100 chip is engineered to support a diverse set of applications, focusing heavily on expanding IoT capabilities with enhanced control and connectivity features. Beyond its technical prowess, the C100 stands out with its high-performance wireless microcontrollers, designed specifically for the burgeoning IoT market. By leveraging various embedded technologies, the C100 enables simplified, fast, and adaptive application deployment across a wide array of sectors including security, healthcare, smart home devices, and digital entertainment. The chip’s integrated features ensure it can meet the rigorous demands of modern IoT applications, characterized by high integration and reliability. Moreover, the C100 represents a leap forward in IoT product development with its extensive focus on energy efficiency, compact size, and secure operations. Providing a complete IoT solution, this chip is instrumental in advancing robust IoT ecosystems, driving innovation in smart connectivity. Its comprehensive integration provides IoT developers with a significant advantage, allowing them to develop solutions that are not only high-performing but also ensure sustainability and user safety.
Wormhole is a versatile communication system designed to enhance data flow within complex computational architectures. By employing state-of-the-art connectivity solutions, it enables efficient data exchange, critical for high-speed processing and low-latency communication. This technology is essential for maintaining optimal performance in environments demanding seamless data integration. Wormhole's ability to manage significant data loads with minimal latency makes it particularly suitable for applications requiring real-time data processing and transfer. Its integration into existing systems can enhance overall efficiency, fostering a more responsive computational environment. This makes it an invaluable asset for sectors undergoing digital transformation. The adaptability of Wormhole to various technological requirements ensures it remains relevant across diverse industry applications. This flexibility means that it can scale with ongoing technological advancements, cementing its role as a cornerstone in the evolving landscape of high-speed data communications.
The SiFive Intelligence X280 processor is crafted for the demands of AI and ML within edge computing environments. It integrates high-performance scalar and vector computing capabilities, making it ideal for data-heavy AI tasks like management, object detection, and speech processing. The X280 leverages the RISC-V architecture's open standards, bringing a high level of customizability and performance efficiency to AI applications. Equipped with SiFive's Matrix Engine, the X280 is capable of handling sophisticated AI workloads with its impressive maximum throughput of 16 TOPS for INT8 operations. This performance is achieved without compromising on power efficiency, maintaining a small footprint that makes it suitable for diverse deployment scenarios. The processor's scalability is a key feature, supporting vector lengths up to 512 bits to accommodate the demands of intensive machine learning operations. SiFive Intelligence X280 stands out for its role in reshaping the possibilities of AI at the edge, pushing forward the capabilities of machine learning with a comprehensive software and hardware integration. This approach ensures that the X280 can handle emerging AI challenges with ease, presenting a formidable solution for today's AI-driven applications.
The Codasip RISC-V BK Core Series is engineered to deliver flexibility and adaptability for a variety of embedded applications. These cores are designed to be low-power, offering an excellent balance of performance and energy efficiency. The series provides a spectrum of configurations, allowing developers to customize them to align with unique project requirements, ensuring each processor operates at peak efficiency for its specific use case. The cores are RISC-V compliant and adhere to stringent industry standards for quality, making them a reliable choice for sensitive applications.
The RISC-V Core IP developed by AheadComputing Inc. is designed to deliver exceptional performance for advanced computing applications. This processor is engineered to harness the full potential of the RISC-V architecture, providing a balance of power efficiency and processing capability that caters to the needs of modern computing environments. By leveraging the open-source RISC-V standard, this processor offers flexibility and customization opportunities, making it a versatile choice for various industries. AheadComputing's RISC-V Core IP is crafted with a focus on scalability and adaptability, ensuring that it can be integrated into a wide range of devices, from consumer electronics to complex industrial systems. The processor's architecture allows for simplifying hardware design while maintaining high performance, which is essential for applications that require quick data processing and seamless multitasking. The technical prowess of this RISC-V processor is evident in its ability to boost IPC (Instructions Per Cycle) performance, setting new benchmarks for speed and reliability. With a keen eye on the future, AheadComputing continues to refine its processor technology to align with emerging trends and demands, positioning its RISC-V Core IP as a key component in the evolution of future-ready computing solutions.
The RISC-V CPU IP N Class from Nuclei System Technology offers a versatile 32-bit architecture designed for microcontroller units (MCUs) and AIoT applications. Engineered with the RISC-V open standard, this processor IP provides extensive configurability options, allowing users to tailor the IP to meet their specific system requirements. It supports a variety of security features and functional safety protocols, making it suitable for applications demanding reliable and robust performance. This CPU IP is perfect for those implementing advanced RISC-V technology in fields that require agility and cutting-edge functionality. Its ease of customization ensures seamless integration into existing systems, supporting an array of ecosystem resources such as tool-chains, SDKs, and support for operating systems including RTOS and Linux. With a local R&D team backing its development, the N Class IP sees rapid iteration and enhancement, aligning with the technological demands and trends in high-performance computing. This positions it as a leading choice for firms looking to adopt RISC-V technology in innovative and emergent applications.
An evolution of the Y180, the Y180S offers a safe-state version of its predecessor, encompassing approximately 10K gates. This enhanced version is tailored for applications where safety and state retention are critical, maintaining all the beneficial features of the Y180 while incorporating additional safety mechanisms. Its architecture remains compatible with Z80 instruction sets, ensuring consistent integration across platforms necessitating reliable and secure processing.
Tensix Neo is a high-performance processor designed to accelerate AI tasks with remarkable efficiency. By optimizing for performance per watt, it caters to AI developers needing robust technology for power-intense projects. Its architectural design supports a wide range of precision formats, ensuring that varying AI workloads are managed effectively. Central to its design is a specialized Network-on-Chip (NoC) that facilitates highly efficient data transfer and communication, enabling scalable AI solutions. This NoC allows the processor to evolve alongside an ever-changing landscape of AI models and applications, making it an asset for developers focused on scalability. Tensix Neo is particularly suited for environments where adaptability and performance are crucial, such as large-scale data processing centers and real-time computational tasks. It provides the technological backbone needed for developing next-gen AI systems that require flexible and powerful processing capabilities.
The Y8002 microprocessor is a replication of a known Zilog device, with a gate count of approximately 15K. Designed to offer consistent performance aligned with Zilog's benchmarks, it supports projects requiring both reliability and compatibility with Zilog's infrastructure. Its gate efficiency and operational familiarity make it an optimal choice for tasks needing precision alongside established interface standards.
ASIC North's Sensor Interface Derivatives cater to the advanced needs of modern sensor-based products. These derivatives are designed to integrate with wearable technology and other applications demanding multi-sensor integration. By bridging the gap between sensor inputs and processing needs, they provide exceptional flexibility and accuracy in data handling. Leveraging expertise in Analog to Digital (ADC) and Digital to Analog Converters (DAC), these interfaces can accurately measure and report on parameters such as voltage, current, and resistance, making them versatile tools for engineers engaged in diverse product development projects. Focused on maximizing performance while minimizing energy consumption, these solutions are ideal for use in sectors requiring precise measurement and minimal power use, including consumer electronics and advanced industrial controls.
The TSP1 neural network accelerator is a groundbreaking AI chip designed by Applied Brain Research to efficiently manage time series data processing while maintaining energy efficiency. With a focus on battery-powered devices, the chip excels in implementing AI workloads, including complex functions like natural voice interfaces and bio-signal classifications. Its advanced network training capabilities enable sophisticated AI applications across various fields, ensuring low latency and ultra-low power consumption. Featuring a self-contained processing environment, the TSP1 is built to handle a wide array of voice and sensor signal applications, making it well-suited for sectors such as smart homes, AR/VR, and wearables. The integration of state-space models, like the Legendre Memory Unit, enhances its computational efficiency, setting new benchmarks for AI tasks. This innovation supports lower power and cost demands without compromising the robust performance typically required in real-time interactions. Technical specs for the TSP1 include support for full vocabulary speech recognition and signal pattern recognition, with power demands kept minimal thanks to an integrated power management unit and custom-optimized hardware. The chip's design facilitates both signal processing and firmware storage on-chip, offering options for multiple audio inputs and versatile connectivity options to host CPUs, ensuring extensive compatibility in edge computing applications.
The RISC-V CPU IP NX Class offers a robust 64-bit architecture tailored for storage solutions, augmented reality/virtual reality (AR/VR), and artificial intelligence (AI) applications. This offering from Nuclei System Technology exemplifies scalability and flexibility, adhering to the RISC-V open standard to deliver a processor IP that is both versatile and high performing. This class of IP ensures that businesses can integrate sophisticated computational capabilities into their products, enhancing functionality in storage and emerging technology fields. The NX Class supports a wide array of security and functional safety features, ensuring reliable performance across various high-tech scenarios. With continued advancements and support from the local R&D team, the NX Class is equipped to meet the evolving demands of cutting-edge technology sectors, facilitating innovation and superior performance in complex environments where these attributes are crucial.
SkyeChip's Low Power RISC-V CPU is a highly efficient processor core designed for low power and embedded applications. It implements the RISC-V RV32 instruction set with full support for integer and compressed instructions, and partial support for multiplication, aligning with modern computing needs. This processor is engineered for high reliability with 32 vectorized interrupts and adheres to standard RISC-V debugging protocols. It is tailored for use in resource-constrained environments where power efficiency and performance are key, lending itself to a wide array of applications from IoT devices to mobile computing.
The Origami Programmer is a sophisticated configuration tool for Menta’s eFPGA architecture. This software stands out for delivering an easy-to-use interface, which simplifies the complex tasks of synthesis, place-and-route, and static timing analysis. Designed to optimize RTL specifically for the Menta eFPGA, Origami Programmer enables designers to bypass the need for additional FPGA configuration tools. Within its intuitive environment, users can benefit from a range of functionalities, such as an embedded Verific parser for synthesizing designs written in VHDL, Verilog, or SystemVerilog. The tool provides comprehensive analysis capabilities, including complete path and setup/hold reports, ensuring thorough insights into the design's performance metrics. Aimed at improving the design process efficiency, Origami Programmer supports various technology nodes and libraries, permitting performance estimations and resources optimization directly. This seamless integration and the ability to adapt configurations efficiently make Origami Programmer an indispensable asset in eFPGA design and implementation.
Advanced Silicon's specialty microcontrollers are tailored to offer cutting-edge solutions for complex image processing tasks. These microcontrollers are built using the latest RISC-V architectures, integrated with advanced coprocessing capabilities, enabling them to handle intricate algorithms efficiently. With a focus on delivering high-speed processing for touchscreen interface management, these microcontrollers are indispensable in modern large-format display systems. They incorporate sophisticated machine learning algorithms within the touch firmware, empowering them to interpret varied user gestures and inputs with high accuracy, supporting interactive touch interfaces across diverse operational environments. The specialization extends to integrating seamlessly with proprietary technologies like Advanced Silicon’s Tactors™ for enhanced touch functionality on glass surfaces, addressing demanding user interface challenges with improved reliability, performance, and user experience.
ASIC North's ARM M-Class Based ASIC chips are optimized for a variety of applications across different industries. These chips offer superior performance while maintaining a high level of security and energy efficiency, making them suitable for deployment in IoT devices and other connected systems. The ARM Cortex-M series microcontrollers are at the heart of these ASICs, supporting a wide range of processing needs with real-time performance. Designed to integrate seamlessly with existing systems, these ASICs facilitate the creation of scalable solutions tailored to specific operational requirements. Whether for simple embedded systems or complex computing environments, these ARM M-Class solutions provide flexible options that ensure operational resilience. In addition to their versatile capabilities, ASIC North's ARM-based solutions are designed with an eye toward future scalability, accommodating the evolving demands of technology landscapes. This adaptability makes them a valuable asset for developers seeking robust and long-lasting chip options.
Grayskull is a sophisticated AI processor developed to seamlessly integrate into various AI networks and applications. Optimized for performance-per-watt efficiency, it supports a wide range of precision formats. This flexibility allows for adapting to different AI-specific workloads efficiently, making it an ideal solution for scalable AI processing. One of Grayskull's standout features is its specially designed Network-on-Chip (NoC), enabling an adaptable architecture that grows with advancements in AI models. The NoC ensures smooth scalability, allowing developers to align their solutions with the rapid evolution within the AI industry. Its robustness makes it a versatile choice for diverse AI applications, from high-performance computing to data-driven simulations. The processor's architecture emphasizes ease of use and adaptability, which are critical for developers seeking to maximize their AI solutions' potential. With its high level of integration and performance efficiency, Grayskull presents a compelling option for enterprises focused on innovation and expansion in AI technology.
Designed for flexibility and efficiency, the RISC-V Processor Core by Fraunhofer IPMS provides a robust foundation for developing custom computing solutions. Leveraging the open standard RISC-V architecture, this core supports a wide range of applications, from embedded systems to high-performance computing tasks. Its modular design facilitates customization, allowing developers to integrate unique functionalities tailored to specific industry needs. The core excels in environments requiring reliability and efficiency, offering extensive support for hardware-level security features. Its low-power consumption and high performance make it suitable for applications in IoT, automotive, and consumer electronics, where energy efficiency and processing power are equally critical. Moreover, its open-source nature ensures adaptability and future-proofing, enabling developers to leverage the latest advancements in RISC-V architecture. Whether for academic, prototyping, or commercial production, the RISC-V Processor Core combines cutting-edge technology with scalability, addressing diverse and complex technological demands.
The BA51 represents an ultra-low-power RISC-V processor core, particularly optimized for deep embedding in a variety of applications. It is built on a 32-bit architecture with a 2-stage pipeline, facilitating reduced power consumption and minimized silicon area. This processor core caters to energy-constrained environments by incorporating advanced power management techniques like clock gating and frequency scaling. It can achieve clock speeds exceeding 500 MHz at 16nm technology, making it competitive for IoT devices and low-power consumer electronics, where minimal energy expenditure is crucial.
The Akida1000 Reference SoC is a complete neural processing device designed for integration into AI systems, featuring 1.2 million neurons and 10 billion synapses. This SoC is configurable as a standalone embedded AI accelerator or can be paired with an MCU or CPU for enhanced performance. The Akida1000 uses event-based processing optimized for real-time neural network tasks, gaining efficiency from its large SRAM and scalable neural processing units, which are fully configurable to meet application-specific needs. It supports fully integrated networks, eliminating the need for frequent weight swaps between memory systems, thus enhancing throughput and reducing power consumption.
SEMIFIVE's AIoT Platform caters to the integration of artificial intelligence into the Internet of Things (IoT) devices, enabling smart and efficient technology solutions. This platform supports the development of AI-driven IoT applications by providing a robust framework that combines AI compute power with IoT's connectivity and data processing capabilities. The AIoT Platform facilitates the rapid design and deployment of innovative solutions across various sectors such as smart homes, industrial IoT, and more. It optimizes system design through the seamless integration of IoT sensors, processors, and communication protocols, ensuring high performance with minimal power consumption. Backed by silicon-proven IPs, this platform ensures scalability and flexibility, allowing developers to create customized solutions with ease. The AIoT Platform is positioned to support smart technology innovations with its focus on energy efficiency, intelligent data processing, and enhanced connectivity features.
The ARC Processor from Synopsys is designed to provide efficient processing for a wide range of applications, from automotive and consumer electronics to industrial automation. ARC Processors are known for their configurability, allowing custom instruction sets that match the specific needs of an application, thus optimizing performance and power efficiency.\n\nThese processors support a broad array of computing demands, offering designs that range from small, power-sensitive cores for IoT devices to high-performance solutions for data processing in more intensive computing environments. Synopsys provides a comprehensive suite of development tools and software, ensuring that the ARC Processor can be seamlessly integrated into any design workflow.\n\nThe ARC Processor’s architecture enables designers to maximize processor efficiency through extensive support for machine learning and artificial intelligence operations, which are becoming increasingly pertinent in modern computing. With robust performance capabilities, the ARC Processor is ideal for projects requiring scalable hardware solutions with enhanced computational effectiveness.
The EOS S3 sensor processing platform is an advanced development that showcases QuickLogic's commitment to enabling intelligent edge processing within IoT devices. Equipped with ultra-low power consumption features, EOS S3 stands out as an energy-efficient, high-performance platform, making it ideal for battery-operated devices. At its core, the platform combines an open-source approach with a flexible architecture, making it an attractive choice for developers looking to integrate AI and machine learning capabilities into IoT applications. The integration of QuickLogic's eFPGA technology empowers EOS S3 to perform complex sensor processing tasks while maintaining low latency and power efficiency, which is critical for wearable technology and other mobile applications. EOS S3 also focuses on achieving seamless connectivity and computational versatility. It supports various input and output protocols to accommodate numerous sensors and devices, further reinforcing its position as a comprehensive solution for IoT edge processing. Through streamlined development processes and robust ongoing support, QuickLogic ensures that EOS S3 unlocks new margins of efficiency and innovation for its users.
The Y90-180 offers a high-performance variant of the Zilog Z80180 design, featuring approximately 18K gates. It effectively enhances the functionalities of its predecessors, providing a robust execution environment tailored for intensive computational tasks. By amplifying the original architecture, it ensures reliable, high-speed processing capability for systems requiring the sophistication of a higher gate count within Zilog's ecosystem.
Wasiela’s Application Specific Instruction Set Processors (ASIPs) provide tailored solutions for specific applications, offering an architecture that is highly customizable and power-efficient. These specialized processors are designed to meet the needs of diverse applications, providing a flexible and programmable hardware acceleration option. The ASIPs are particularly suited for environments where standard processors may not meet the stringent power and performance requirements needed in today's fast-evolving tech landscape. With an instruction set tailored uniquely for each application, these processors allow for significant improvements in both processing efficiency and energy consumption. Each ASIP is equipped to handle complex tasks specific to the desired application, making them an integral part of modern systems that require both customization and scalability. Wasiela’s ASIPs stand out as indispensable tools for developers aiming to maximize system performance while minimizing associated costs and energy usage.
The Y90 microprocessor delivers a high-performance interpretation of the Zilog Z180 architecture, available in configurations of either 10K or 17K gates. This processor is engineered for environments that demand high throughput and efficiency in implementing Z80-compatible tasks. By optimizing the original Z180 design, the Y90 accommodates demanding operations while preserving a compact footprint, ensuring seamless adaptability across platforms requiring Zilog heritage and performance.
The Cortex-M33 Processor blends real-time operation with low power consumption, making it ideal for IoT and embedded devices. Leveraging Arm's TrustZone technology, it provides robust security features critical for maintaining data integrity and protecting sensitive information. The processor excels in digital signal processing capabilities, supported by an advanced arithmetic logic unit that offers enhanced computational performance while maintaining energy efficiency for prolonged usage in cost-sensitive markets.
The TT-Ascalon™ represents Tenstorrent's pinnacle in CPU design, being an Out-of-Order, superscalar processor leveraging the RISC-V RVA23 profile. With 8-wide decode architecture, it is meticulously co-developed with the Tensix IP to achieve unmatched performance levels, all while ensuring impressive area and power efficiency. This processor is engineered to meet the demands of high-performance computing environments, offering substantial flexibility for customized silicon solutions tailored to specific application needs. Its innovative design allows for extensive scalability, supporting diverse computational tasks within data centers, cloud services, and AI applications. TT-Ascalon's™ architecture supports different use cases, effectively meeting the needs of sectors such as automotive, data center operations, and edge computing. Its superior efficiency and power management make it a go-to solution for businesses aiming to maximize computational output while keeping operational costs in check.
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!