All IPs > Processor
The 'Processor' category in the Silicon Hub Semiconductor IP catalog is a cornerstone of modern electronic device design. Processor semiconductor IPs serve as the brain of electronic devices, driving operations, processing data, and performing complex computations essential for a multitude of applications. These IPs include a wide variety of specific types such as CPUs, DSP cores, and microcontrollers, each designed with unique capabilities and applications in mind.
In this category, you'll find building blocks, which are fundamental components for constructing more sophisticated processors, and coprocessors that augment the capabilities of a main processor, enabling efficient handling of specialized tasks. The versatility of processor semiconductor IPs is evident in subcategories like AI processors, audio processors, and vision processors, each tailored to meet the demands of today’s smart technologies. These processors are central to developing innovative products that leverage artificial intelligence, enhance audio experiences, and enable complex image processing capabilities, respectively.
Moreover, there are security processors that empower devices with robust security features to protect sensitive data and communications, as well as IoT processors and wireless processors that drive connectivity and integration of devices within the Internet of Things ecosystem. These processors ensure reliable and efficient data processing in increasingly connected and smart environments.
Overall, the processor semiconductor IP category is pivotal for enabling the creation of advanced electronic devices across a wide range of industries, from consumer electronics to automotive systems, providing the essential processing capabilities needed to meet the ever-evolving technological demands of today's world. Whether you're looking for individual processor cores or fully integrated processing solutions, this category offers a comprehensive selection to support any design or application requirement.
The 2nd Generation Akida builds upon BrainChip's neuromorphic legacy, broadening the range of supported complex network models with enhancements in weight and activation precision up to 8 bits. This generation introduces additional energy efficiency, performance optimizations, and greater accuracy, catering to a broader set of intelligent applications. Notably, it supports advanced features like Temporal Event-Based Neural Networks (TENNs), Vision Transformers, and extensive use of skip connections, which elevate its capabilities within spatio-temporal and vision-based applications. Designed for a variety of industrial, automotive, healthcare, and smart city applications, the 2nd Generation Akida boasts on-chip learning which maintains data privacy by eliminating the need to send sensitive information to the cloud. This reduces latency and secures data, crucial for future autonomous and IoT applications. With its multipass processing capabilities, Akida addresses the challenge of limited hardware resources smartly, processing complex models efficiently on the edge. Offering a flexible and scalable IP platform, it is poised to enhance end-user experiences across various industries by enabling efficient real-time AI processing on compact devices. The introduction of long-range skip connections further supports intricate neural networks like ResNet and DenseNet, showcasing Akida's potential to drive deeper model efficiencies without excessive host CPU calculation dependence.
Speedcore embedded FPGA (eFPGA) IP represents a notable advancement in integrating programmable logic into ASICs and SoCs. Unlike standalone FPGAs, eFPGA IP lets designers tailor the exact dimensions of logic, DSP, and memory needed for their applications, making it an ideal choice for areas like AI, ML, 5G wireless, and more. Speedcore eFPGA can significantly reduce system costs, power requirements, and board space while maintaining flexibility by embedding only the necessary features into production. This IP is programmable using the same Achronix Tool Suite employed for standalone FPGAs. The Speedcore design process is supported by comprehensive resources and guidance, ensuring efficient integration into various semiconductor projects.
The KL730 AI SoC is powered by Kneron's innovative third-generation reconfigurable NPU architecture, delivering up to 8 TOPS of computing power. This architecture offers enhanced efficiency for the latest CNNnetwork architectures and serves transformer applications by reducing DDR bandwidth requirements significantly. The chip excels in video processing, supporting 4K 60FPS output and excelling in areas such as noise reduction and low-light imaging. It's ideal for applications in intelligent security, autonomous driving, and video conferencing, among others.
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 Tianqiao-70 CPU core by StarFive is a low-power RISC-V processor, designed specifically to address the needs of commercial applications that prioritize energy efficiency. This 64-bit CPU core is versatile, catering to various sectors including mobile devices, IoT applications, and intelligent consumer electronics that demand performance without compromising on power. Designed with efficient power utilization at its core, the Tianqiao-70 is tailored to offer high computation capacity while keeping energy consumption minimal, thereby extending device battery life and reducing operational costs. This processor core supports a vast spectrum of computational tasks while maintaining low-level power metrics, an essential factor in mobile and embedded applications. Through its effective design, the Tianqiao-70 continues to support a wide array of tasks efficiently, allowing businesses to lower their energy usage while achieving powerful processing capabilities. This core stands as an ideal solution for forward-thinking organizations that value sustainability and legacy support in their tech stack.
The Speedster7t FPGA family is crafted for high-bandwidth tasks, tackling the usual restrictions seen in conventional FPGAs. Manufactured using the TSMC 7nm FinFET process, these FPGAs are equipped with a pioneering 2D network-on-chip architecture and a series of machine learning processors for optimal high-bandwidth performance and AI/ML workloads. They integrate interfaces for high-paced GDDR6 memory, 400G Ethernet, and PCI Express Gen5 ports. This 2D network-on-chip connects various interfaces to upward of 80 access points in the FPGA fabric, enabling ASIC-like performance, yet retaining complete programmability. The product encourages users to start with the VectorPath accelerator card which houses the Speedster7t FPGA. This family offers robust tools for applications such as 5G infrastructure, computational storage, and test and measurement.
KPIT's AUTOSAR and Adaptive AUTOSAR Solutions provide robust frameworks for automotive software development. Catering to the evolving needs of smart vehicles, these solutions ensure high reliability, safety, and compliance with industry standards. KPIT's middleware development enhances the adaptability and integration of various software modules, supporting clients in managing the complexities of modern vehicle platforms and accelerating the release of innovative automotive technologies.
The PCIe AI Accelerator Card powered by Metis AIPU offers unparalleled AI inference performance suitable for intensive vision applications. Incorporating a single quad-core Metis AIPU, it provides up to 214 TOPS, efficiently managing high-volume workloads with low latency. The card is further enhanced by the Voyager SDK, which streamlines application deployment, offering an intuitive development experience and ensuring simple integration across various platforms. Whether for real-time video analytics or other demanding AI tasks, the PCIe Accelerator Card is designed to deliver exceptional speed and precision.
The Origin E1 is an optimized neural processing unit (NPU) targeting always-on applications in devices like home appliances, smartphones, and security cameras. It provides a compact, energy-efficient solution with performance tailored to 1 TOPS, making it ideal for systems needing low-power and minimal area. The architecture is built on Expedera's unique packet-based approach, which enables enhanced resource utilization and deterministic performance, significantly boosting efficiency while avoiding the pitfalls of traditional layer-based architectures. The architecture is fine-tuned to support standard and custom neural networks without requiring external memory, preserving privacy and ensuring fast processing. Its ability to process data in parallel across multiple layers results in predictive performance with low power and latency. Always-sensing cameras leveraging the Origin E1 can continuously analyze visual data, facilitating smoother and more intuitive user interactions. Successful field deployment in over 10 million devices highlights the Origin E1's reliability and effectiveness. Its flexible design allows for adjustments to meet the specific PPA requirements of diverse applications. Offered as Soft IP (RTL) or GDS, this engine is a blend of efficiency and capability, capitalizing on the full scope of Expedera's software tools and custom support features.
The ADAS and Autonomous Driving solutions from KPIT focus on advancing autonomy in vehicles by addressing key challenges in technology, regulatory compliance, and consumer trust. The solutions include rigorous testing environments and simulation frameworks to explore corner cases and ensure safety. KPIT's autonomous driving solutions aim to enhance feature development, integrate AI-driven decision-making, and provide robust validation environments that empower automakers to deliver safer, reliable autonomous vehicles.
The Metis AIPU M.2 accelerator module by Axelera AI is engineered for AI inference on edge devices with power and budget constraints. It leverages the quad-core Metis AIPU, delivering exceptional AI processing in a compact form factor. This solution is ideal for a range of applications, including computer vision in constrained environments, providing robust support for multiple camera feeds and parallel neural networks. With its easy integration and the comprehensive Voyager SDK, it simplifies the deployment of advanced AI models, ensuring high prediction accuracy and efficiency. This module is optimized for NGFF (Next Generation Form Factor) M.2 sockets, boosting the capability of any processing system with modest space and power requirements.
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.
Designed for high-demand applications in server and computing environments, the SCR9 Processor Core stands as a robust 64-bit RISC-V solution. It features a 12-stage superscalar, out-of-order pipeline to handle intensive processing tasks, further empowered by its versatile floating-point and vector processing units. The core is prepared to meet extensive computing needs with support for up to 16-core clustering and seamless AOSP or Linux operating systems integration.\n\nInvesting in powerful memory subsystems including L1, L2, and shared L3 caches enhances data handling, while features like memory coherency ensure fluid operation in multi-core settings. Extensions in cryptography and vector operations further diversify its application potential, establishing the SCR9 as an ideal candidate for cutting-edge data tasks.\n\nFrom enterprise servers to personal computing devices, video processing, and high-performance computations for AI and machine learning, the SCR9 delivers across an array of demanding scenarios. Its design integrates advanced power and process technologies to cater to complex computing landscapes, embodying efficiency and innovation in processor core technology.
The RV12 RISC-V Processor from Roa Logic is a highly adaptable, single-issue processor designed to comply with modern RISC-V standards, specifically targeting the embedded systems market. Structured around a 32-bit and 64-bit RISC-V instruction set, the processor employs a Harvard architecture to optimize the bandwidth of instruction and data accesses. It offers enhanced customization and configurability, allowing developers to adapt the processor for a variety of applications. This processor supports modular design approaches and can be efficiently integrated into both FPGA and ASIC designs, making it a versatile choice in the development of cutting-edge technologies. Its industry-standard compliance ensures ease of integration into existing systems that utilize RISC-V specifications, resulting in reduced development time and effort. As part of the broader RISC-V ecosystem promoted by Roa Logic, the RV12 boasts a robust architecture that facilitates experimental and commercial use, providing a solid foundation for innovation. Available for non-commercial purposes through a flexible licensing agreement, it supports the open movement towards collaborative digital innovation.
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 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.
This IP offers a high-performance mixed-signal CODEC solution perfect for advanced audio applications. It seamlessly integrates analog-to-digital and digital-to-analog conversion capabilities, ensuring an immersive audio experience with minimal latency and superior sound fidelity. The CODEC is specifically designed to handle multiple audio interface formats, providing adaptability across various platforms and devices. One of the strengths of this CODEC is its optimized power consumption. It is crafted to deliver top-tier performance while maintaining efficient energy use, which is essential for battery-powered and portable devices. The versatility of the CODEC makes it an ideal choice for a wide range of applications, from automotive audio systems to consumer electronics. Additionally, this solution is engineered with robust support for different process nodes, enhancing its compatibility with a multitude of manufacturing technologies. This makes it not only efficient but also versatile, allowing for straightforward integration into diverse product lines.
Altek's AI Camera Module stands as a testament to the company's prowess in integrating artificial intelligence with advanced imaging technology. This module is designed for a spectrum of applications that demand rapid and precise image processing, such as surveillance, automated inspection, and smart devices. By leveraging sophisticated AI algorithms, the module can perform real-time image analysis, enabling enhanced decision-making processes in demanding scenarios. The AI Camera Module is engineered to deliver high-resolution imagery, coupled with robust data processing capabilities that ensure seamless performance in dynamic environments. Its architecture supports a variety of AI-driven functions like facial recognition, object tracking, and behavioral pattern analysis, thereby elevating the module’s versatility across different sectors. Compatibility with IoT systems enhances its appeal, as the module facilitates sophisticated integration with broader networked environments. With a focus on reducing latency and boosting computational efficiency, Altek's AI Camera Module is poised to be a vital component in the future of smart cities and connected solutions.
The KL520 AI SoC is a groundbreaking chip that initiated Kneron's journey in edge AI. It is characterized by its compact size, energy efficiency, and robust performance, suitable for a host or companion AI co-processor role. Compatible with multiple 3D sensor technologies, the KL520 excels in smart home applications like smart locks and cameras. Its small power footprint allows operations on simple power supplies like AA batteries, setting it apart in the market.
RaiderChip's GenAI v1 is a pioneering hardware-based generative AI accelerator, designed to perform local inference at the Edge. This technology integrates optimally with on-premises servers and embedded devices, offering substantial benefits in privacy, performance, and energy efficiency over traditional hybrid AI solutions. The design of the GenAI v1 NPU streamlines the process of executing large language models by embedding them directly onto the hardware, eliminating the need for external components like CPUs or internet connections. With its ability to support complex models such as the Llama 3.2 with 4-bit quantization on LPDDR4 memory, the GenAI v1 achieves unprecedented efficiency in AI token processing, coupled with energy savings and reduced latency. What sets GenAI v1 apart is its scalability and cost-effectiveness, significantly outperforming competitive solutions such as Intel Gaudi 2, Nvidia's cloud GPUs, and Google's cloud TPUs in terms of memory efficiency. This solution maximizes the number of tokens generated per unit of memory bandwidth, thus addressing one of the primary limitations in generative AI workflow. Furthermore, the adept memory usage of GenAI v1 reduces the dependency on costly memory types like HBM, opening the door to more affordable alternatives without diminishing processing capabilities. With a target-agnostic approach, RaiderChip ensures the GenAI v1 can be adapted to various FPGAs and ASICs, offering configuration flexibility that allows users to balance performance with hardware costs. Its compatibility with a wide range of transformers-based models, including proprietary modifications, ensures GenAI v1's robust placement across sectors requiring high-speed processing, like finance, medical diagnostics, and autonomous systems. RaiderChip's innovation with GenAI v1 focuses on supporting both vanilla and quantized AI models, ensuring high computation speeds necessary for real-time applications without compromising accuracy. This capability underpins their strategic vision of enabling versatile and sustainable AI solutions across industries. By prioritizing integration ease and operational independence, RaiderChip provides a tangible edge in applying generative AI effectively and widely.
Ventana's Veyron V2 CPU represents the pinnacle of high-performance AI and data center-class RISC-V processors. Engineered to deliver world-class performance, it supports extensive data center workloads, offering superior computational power and efficiency. The V2 model is particularly focused on accelerating AI and ML tasks, ensuring compute-intensive applications run seamlessly. Its design makes it an ideal choice for hyperscale, cloud, and edge computing solutions where performance is non-negotiable. This CPU is instrumental for companies aiming to scale with the latest in server-class technology.
The eSi-3250 is a robust 32-bit processor core from eSi-RISC, specifically engineered to handle high-performance computing with extensive caching capabilities. It is particularly efficient when dealing with slower memory systems such as eFlash or off-chip alternatives, optimizing system throughput by leveraging its configurable instruction and data caches. This core supports a comprehensive instruction set, including optional application-specific instructions and standard floating-point operations compliant with IEEE standards. Its architecture makes use of 16 and 32-bit instructions to maximize code density, ensuring efficient use of cache and system resources. Designed with high clock speed potential, the eSi-3250 integrates a multi-mode MMU, allowing for complex memory management strategies. This core is exceptionally suitable for scenarios demanding high computational power within FPGA or ASIC implementations. It provides flexible integration options through its AMBA-compliant bus interfaces, supporting a vast range of ancillary IP modules to tailor performance to specific application needs.
The ORC3990 SoC is a state-of-the-art solution designed for satellite IoT applications within Totum's DMSS™ network. This low-power sensor-to-satellite system integrates an RF transceiver, ARM CPUs, memories, and PA to offer seamless IoT connectivity via LEO satellite networks. It boasts an optimized link budget for effective indoor signal coverage, eliminating the need for additional GNSS components. This compact SoC supports industrial temperature ranges and is engineered for a 10+ year battery life using advanced power management.
The Origin E8 NPU by Expedera is engineered for the most demanding AI deployments such as automotive systems and data centers. Capable of delivering up to 128 TOPS per core and scalable to PetaOps with multiple cores, the E8 stands out for its high performance and efficient processing. Expedera's packet-based architecture allows for parallel execution across varying layers, optimizing resource utilization, and minimizing latency, even under strenuous conditions. The E8 handles complex AI models, including large language models (LLMs) and standard machine learning frameworks, without requiring significant hardware-specific changes. Its support extends to 8K resolutions and beyond, ensuring coverage for advanced visualization and high-resolution tasks. With its low deterministic latency and minimized DRAM bandwidth needs, the Origin E8 is especially suitable for high-performance, real-time applications. The high-speed processing and flexible deployment benefits make the Origin E8 a compelling choice for companies seeking robust and scalable AI infrastructure. Through customized architecture, it efficiently addresses the power, performance, and area considerations vital for next-generation AI technologies.
The TimbreAI T3 is a premier AI inference engine from Expedera, designed specifically for audio noise reduction in power-sensitive devices like wireless headsets. Achieving up to 3.2 GOPS at an ultra-low power consumption of less than 300 µW, the T3 caters to devices with stringent power and area constraints. This product features Expedera's advanced packet-based architectural strategy, setting a new standard for efficiency in embedded AI applications. Ported easily across different foundries, the TimbreAI T3 ensures seamless performance without requiring alterations to pre-trained models, safeguarding accuracy and maintaining consistent results. Its comprehensive support for common audio neural networks and standard NN functions underscores its versatility and adaptability within varied use cases. Exemplified by successful integration in over 10 million devices globally, the T3 is proof of Expedera's commitment to delivering high-quality, energy-efficient semiconductor solutions. Coupled with expedited development and integration capabilities, this IP represents a vital component in enhancing audio processing capabilities across contemporary electronic devices.
AndesCore Processors offer a robust lineup of high-performance CPUs tailored for diverse market segments. Employing the AndeStar V5 instruction set architecture, these cores uniformly support the RISC-V technology. The processor family is classified into different series, including the Compact, 25-Series, 27-Series, 40-Series, and 60-Series, each featuring unique architectural advances. For instance, the Compact Series specializes in delivering compact, power-efficient processing, while the 60-Series is optimized for high-performance out-of-order execution. Additionally, AndesCore processors extend customization through Andes Custom Extension, which allows users to define specific instructions to accelerate application-specific tasks, offering a significant edge in design flexibility and processing efficiency.
KPIT's Vehicle Engineering & Design Solutions empower manufacturers to leverage cutting-edge design and simulation technologies for efficient vehicle development. Focusing on sustainability and cost-efficient production, these solutions include advanced CAD methodologies and digital twins that streamline design processes. KPIT provides a comprehensive suite of engineering services that help OEMs develop appealing and compliant vehicles, facilitating faster time-to-market and innovation across model ranges.
Designed for embedded control applications, the eSi-3200 is a high-performing 32-bit processor core. It offers a balance of low-cost implementation and significant processing capability, making it a fitting choice for environments necessitating efficient on-chip memory usage. The eSi-3200 leverages a cacheless architecture that ensures deterministic computation, ideal for real-time systems. Its comprehensive instruction set includes advanced arithmetic operations and optional IEEE 754 compliant single-precision floating-point instructions. This architecture enhances code density and minimizes power consumption via a mix of 16 and 32-bit instructions. With a 5-stage pipeline, this core can achieve high clock speeds, enhancing its utility in demanding applications. It accommodates both user and supervisor modes for secure operation and supports extensive hardware debugging features to streamline development and troubleshooting processes. The eSi-3200 also facilitates integration through AMBA bus compatibility, enabling connectivity with a wide variety of peripheral IPs.
The KL630 AI SoC introduces state-of-the-art NPU architecture, being the first to support both Int4 precision and transformer neural networks. It offers notable energy efficiency and is built on the ARM Cortex A5 CPU, providing up to 1eTOPS@int4. The KL630 supports various AI frameworks, making it suitable for a wide array of edge AI devices and applications that require advanced ISP capabilities and 5M@30FPS HDR imaging.
The eSi-1600 is a compact 16-bit RISC processor core engineered for efficiency and low power. It is well-suited for control applications that typically utilize 8-bit systems, boasting reduced system costs akin to those smaller CPUs, yet providing significantly higher performance. Its architecture allows for reduced clock cycles per application, resulting in substantial power savings, which is particularly beneficial in resource-constrained environments. This processor core features a 5-stage pipeline that enhances its ability to achieve higher clock frequencies, even in matured semiconductor processes. It includes a rich set of arithmetic instructions, offering capabilities like full 32-bit multiplication and accumulations, bit manipulation, and optional application-specific instructions. This versatility is further illustrated by the optional support for user and supervisor operating modes, reflecting its adaptability across multiple application scenarios. Besides typical features such as JTAG or serial debug capabilities, the eSi-1600 supports a wide array of peripherals through standard AMBA interconnects. Its instruction set achieves exceptional code density by utilizing intermixed 16 and 32-bit instructions. The processor's silicon-proven design, combined with extensive toolchain support, makes it a highly reliable choice for low-cost embedded applications.
The Chimera GPNPU is a general-purpose neural processing unit designed to address key challenges faced by system on chip (SoC) developers when deploying machine learning (ML) inference solutions. It boasts a unified processor architecture capable of executing matrix, vector, and scalar operations within a single pipeline. This architecture integrates the functions of a neural processing unit (NPU), digital signal processor (DSP), and other processors, which significantly simplifies code development and hardware integration. The Chimera GPNPU can manage various ML networks, including classical frameworks, vision transformers, and large language models, all within a single processor framework. Its flexibility allows developers to optimize performance across different applications, from mobile devices to automotive systems. The GPNPU family is fully synthesizable, making it adaptable to a range of performance requirements and process technologies, ensuring long-term viability and adaptability to changing ML workloads. The Cortex's sophisticated design includes a hybrid Von Neumann and 2D SIMD matrix architecture, predictive power management, and sophisticated memory optimization techniques, including an L2 cache. These features help reduce power usage and enhance performance by enabling the processor to efficiently handle complex neural network computations and DSP algorithms. By merging the best qualities of NPUs and DSPs, the Chimera GPNPU establishes a new benchmark for performance in AI processing.
The NMP-550 is tailored for enhanced performance efficiency, serving sectors like automotive, mobile, AR/VR, drones, and robotics. It supports applications such as driver monitoring, image/video analytics, and security surveillance. With a capacity of up to 6 TOPS and 6 MB local memory, this accelerator leverages either a RISC-V or Arm Cortex-M/A 32-bit CPU. Its three AXI4 interface support ensures robust interconnections and data flow. This performance boost makes the NMP-550 exceptionally suited for devices requiring high-frequency AI computations. Typical use cases include industrial surveillance and smart robotics, where precise and fast data analysis is critical. The NMP-550 offers a blend of high computational power and energy efficiency, facilitating complex AI tasks like video super-resolution and fleet management. Its architecture supports modern digital ecosystems, paving the way for new digital experiences through reliable and efficient data processing capabilities. By addressing the needs of modern AI workloads, the NMP-550 stands as a significant upgrade for those needing robust processing power in compact form factors.
The RISC-V Core-hub Generators are sophisticated tools designed to empower developers with complete control over their processor configurations. These generators allow users to customize their core-hubs at both the Instruction Set Architecture (ISA) and microarchitecture levels, offering unparalleled flexibility and adaptability in design. Such capabilities enable fine-tuning of processor specifications to meet specific application needs, fostering innovation within the RISC-V ecosystem. By leveraging the Core-hub Generators, developers can streamline their chip design process, ensuring efficient and seamless integration of custom features. This toolset not only simplifies the design process but also reduces time-to-silicon, making it ideal for industries seeking rapid advancements in their technological capabilities. The user-friendly interface and robust support of these generators make them a preferred choice for developing cutting-edge processors. InCore Semiconductors’ RISC-V Core-hub Generators represent a significant leap forward in processor design technology, emphasizing ease of use, cost-effectiveness, and scalability. As demand for tailored and efficient processors grows, these generators are set to play a pivotal role in shaping the future of semiconductor design, driving innovation across multiple sectors.
The Polar ID Biometric Security System is Metalenz's revolutionary solution for face authentication, delivering a new level of biometric security through advanced polarization imaging. Unlike conventional facial recognition systems, Polar ID captures the unique 'polarization signature' of each human face, offering enhanced security by effortlessly differentiating between real faces and potential spoofing attempts with sophisticated 3D masks. This innovative use of meta-optics not only enhances security but also reduces the need for complex optical modules traditionally required in consumer devices. Polar ID stands out in its ability to operate efficiently under varied lighting conditions, from bright sunlight to complete darkness. It achieves this with more than 10 times the resolution of current structured light systems, ensuring reliable and secure facial recognition performance even when users wear glasses or face coverings. By operating in the near-infrared spectrum, Polar ID extends its utility to scenarios previously challenging for facial recognition technology, thus broadening its application range. Designed for mass-market deployment, Polar ID minimizes the footprint and complexity of face unlock systems. By doing away with bulky modules, it offers a compact and cost-effective alternative while maintaining high-security standards. This innovation enables widespread adoption in consumer electronics, allowing a seamless integration into smartphones, tablets, and other mobile devices, potentially replacing less secure biometric methods like fingerprint recognition.
The Yitian 710 Processor stands as a flagship ARM-based server processor spearheaded by T-Head, featuring an intricate architecture designed by the company itself. Utilizing advanced multi-core technology, the processor incorporates up to 128 high-performance ARMv9 CPU cores, each complete with its own substantial cache for enhanced data access speed. The processor is adeptly configured to handle intensive computing tasks, supported by a robust off-chip memory system with 8-channel DDR5, reaching peak bandwidths up to 281GB/s. An impressive I/O subsystem featuring PCIe 5.0 interfaces facilitates extensive data throughput capabilities, making it highly suitable for high-demand applications. Compliant with modern energy efficiency standards, the processor boasts innovative multi-die packaging to maintain optimal heat dissipation, ensuring uninterrupted performance in data centers. This processor excels in cloud services, big data computations, video processing, and AI inference operations, offering the speed and efficiency required for next-generation technological challenges.
Standing at the pinnacle of eSi-RISC's processor cores, the eSi-3264 offers a powerful 32/64-bit architecture with DSP extensions designed for intensive computing tasks. Its unique ability to process both SIMD fixed and floating-point operations makes it ideal for advanced applications requiring complex digital signal processing with minimal hardware footprint. The eSi-3264 excels in applications needing DSP capabilities due to its fully pipelined MAC unit and the support for dual and quad 64-bit accumulations. The architecture supports a wide range of application-specific instructions and enhanced memory management via configurable caches and an optional MMU. Leveraging industry-standard interfaces, it allows seamless integration with existing chip architectures. These capabilities, coupled with high code density and efficient power management strategies, reinforce its suitability for next-generation multimedia, signal processing, and control systems looking to maximize performance and minimize power consumption.
The NaviSoC is a cutting-edge system-on-chip (SoC) that integrates a GNSS receiver and an application processor on one silicon die. Known for its high precision and reliability, it provides users with a compact and energy-efficient solution for various applications. Capable of supporting all GNSS bands and constellations, it offers fast time-to-first-fix, centimeter-level accuracy, and maintains high sensitivity even in challenging environments. The NaviSoC's flexible design allows it to be customized to meet specific user requirements, making it suitable for a wide range of applications, from location-based services to asset tracking and smart agriculture. The incorporation of a RISC-V application microcontroller, along with an array of peripherals and interfaces, introduces expanded functionality, optimizing it for advanced IoT and industrial applications. Engineered for power efficiency, the NaviSoC supports a range of supply voltages, ensuring low power consumption across its operations. The chip's design provides for efficient integration into existing systems with the support of a comprehensive SDK and IDE, allowing developers to tailor solutions to their precise needs in embedded systems and navigation infrastructures.
The AndeShape Platforms are designed to streamline system development by providing a diverse suite of IP solutions for SoC architecture. These platforms encompass a variety of product categories, including the AE210P for microcontroller applications, AE300 and AE350 AXI fabric packages for scalable SoCs, and AE250 AHB platform IP. These solutions facilitate efficient system integration with Andes processors. Furthermore, AndeShape offers a sophisticated range of development platforms and debugging tools, such as ADP-XC7K160/410, which reinforce the system design and verification processes, providing a comprehensive environment for the innovative realization of IoT and other embedded applications.
xcore.ai is a versatile platform specifically crafted for the intelligent IoT market. It hosts a unique architecture with multi-threading and multi-core capabilities, ensuring low latency and high deterministic performance in embedded AI applications. Each xcore.ai chip contains 16 logical cores organized in two multi-threaded processor 'tiles' equipped with 512kB of SRAM and a vector unit for enhanced computation, enabling both integer and floating-point operations. The design accommodates extensive communication infrastructure within and across xcore.ai systems, providing scalability for complex deployments. Integrated with embedded PHYs for MIPI, USB, and LPDDR, xcore.ai is capable of handling a diverse range of application-specific interfaces. Leveraging its flexibility in software-defined I/O, xcore.ai offers robust support for AI, DSP, and control processing tasks, making it an ideal choice for enhancing IoT device functionalities. With its support for FreeRTOS, C/C++ development environment, and capability for deterministic processing, xcore.ai guarantees precision in performance. This allows developers to partition xcore.ai threads optimally for handling I/O, control, DSP, and AI/ML tasks, aligning perfectly with the specific demands of various applications. Additionally, the platform's power optimization through scalable tile clock frequency adjustment ensures cost-effective and energy-efficient IoT solutions.
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.
The 3D Imaging Chip developed by Altek is a remarkable example of cutting-edge imaging technology, tailored to meet the evolving needs of industries that require three-dimensional image capture. This chip is designed to provide high-resolution 3D images, making it ideal for applications in areas such as augmented reality, virtual reality, and industrial automation. The chip integrates advanced depth-sensing capabilities, ensuring that it can capture intricate details with high fidelity. This feature is particularly beneficial for tasks that require precise measurements and accurate representations of spatial relationships, such as in robotics and autonomous systems. The 3D Imaging Chip's robustness also contributes to its functionality in challenging environments, making it suitable for a variety of industrial applications. Additionally, this chip is engineered to operate efficiently, incorporating power management techniques that enhance its performance while minimizing energy consumption. Altek's focus on innovation is evident in the chip's ability to deliver enhanced depth perception and its integration with AI technologies, which significantly expand its application potential.
The Veyron V1 CPU is designed to meet the demanding needs of data center workloads. Optimized for robust performance and efficiency, it handles a variety of tasks with precision. Utilizing RISC-V open architecture, the Veyron V1 is easily integrated into custom high-performance solutions. It aims to support the next-generation data center architectures, promising seamless scalability for various applications. The CPU is crafted to compete effectively against ARM and x86 data center CPUs, providing the same class-leading performance with added flexibility for bespoke integrations.
The Avispado is a sleek and efficient 64-bit RISC-V in-order processing core tailored for applications where energy efficiency is key. It supports a 2-wide in-order issue, emphasizing minimal area and power consumption, which makes it ideal for energy-conscious system-on-chip designs. The core is equipped with direct support for unaligned memory accesses and is multiprocessor-ready, providing a versatile solution for modern AI needs. With its small footprint, Avispado is perfect for machine learning systems requiring little energy per operation. This core is fully compatible with RISC-V Vector Specification 1.0, interfacing seamlessly with Semidynamics' vector units to support vector instructions that enhance computational efficiency. The integration with Gazzillion Misses™ technology allows support for extensive memory latency workloads, ideal for key applications in data center machine learning and recommendation systems. The Avispado also features a robust set of RISC-V instruction set extensions for added capability and operates smoothly within Linux environments due to comprehensive memory management unit support. Multiprocessor-ready design ensures flexibility in embedding many Avispado cores into high-bandwidth systems, facilitating powerful and efficient processing architectures.
The DisplayPort Transmitter is a highly advanced solution designed to seamlessly transmit high-definition audio and video data between devices. It adheres to the latest VESA standards, ensuring it can handle DisplayPort 1.4 and 2.1 specifications with ease. The transmitter is engineered to support a plethora of audio interfaces including I2S, SPDIF, and DMA, making it highly adaptable to a wide range of consumer and professional audio-visual equipment. With features focused on AV sync and timing recovery, it ensures smooth and uninterrupted data flow even in the most demanding applications. This transmitter is particularly beneficial for those wishing to integrate top-of-the-line audio and video synchronization within their projects, offering customizable sound settings that can accommodate unique user requirements. It's robust enough to be used across industry sectors, from high-end consumer electronics like gaming consoles and home theater systems to professional equipment used in broadcast and video wall displays. Moreover, the DisplayPort Transmitter's architecture facilitates seamless integration into existing FPGA and ASIC systems without a hitch in performance. Comprehensive compliance testing ensures that it is compatible with a wide base of devices and technologies, making it a dependable choice for developers looking to provide comprehensive DisplayPort solutions. Whether it's enhancing consumer electronics or powering complex industry-specific systems, the DisplayPort Transmitter is built to deliver exemplary performance.
EnSilica's eSi-Comms brand houses a versatile communications IP portfolio, fundamental for supporting communications-driven ASIC designs. It includes highly parameterized OFDM-based MODEM and DFE IPs, applicable to a variety of modern air interface standards such as Wi-Fi, LTE, 5G, and DVB. This IP suite integrates advanced DSP algorithms and hardware accelerators for seamless wireless communication. By employing eSi-Comms, clients can utilize proven modem architectures to develop efficient transceivers tailored to specific communications requirements, drastically reducing development time. The adaptability of these IPs to handle data across multiple antennae systems enhances wireless sensor networks and broadcast products with robust connectivity solutions.
The Origin E2 from Expedera is engineered to perform AI inference with a balanced approach, excelling under power and area constraints. This IP is strategically designed for devices ranging from smartphones to edge nodes, providing up to 20 TOPS performance. It features a packet-based architecture that enables parallel execution across layers, improving resource utilization and performance consistency. The engine supports a wide variety of neural networks, including transformers and custom networks, ensuring compatibility with the latest AI advancements. Origin E2 caters to high-resolution video and audio processing up to 4K, and is renowned for its low latency and enhanced performance. Its efficient structure keeps power consumption down, helping devices run demanding AI tasks more effectively than with conventional NPUs. This architecture ensures a sustainable reduction in the dark silicon effect while maintaining high operating efficiencies and accuracy thanks to its TVM-based software support. Deployed successfully in numerous smart devices, the Origin E2 guarantees power efficiency sustained at 18 TOPS/W. Its ability to deliver exceptional quality across diverse applications makes it a preferred choice for manufacturers seeking robust, energy-conscious solutions.
Expedera's Origin E6 NPU is crafted to enhance AI processing capabilities in cutting-edge devices such as smartphones, AR/VR headsets, and automotive systems. It offers scalable performance from 16 to 32 TOPS, adaptable to various power and performance needs. The E6 leverages Expedera's packet-based architecture, known for its highly efficient execution of AI tasks, enabling parallel processing across multiple workloads. This results in better resource management and higher performance predictability. Focusing on both traditional and new AI networks, Origin E6 supports large language models as well as complex data processing tasks without requiring additional hardware optimizations. Its comprehensive software stack, based on TVM, simplifies the integration of trained models into practical applications, providing seamless support for mainstream frameworks and quantization options. Origin E6's deployment reflects meticulous engineering, optimizing memory usage and processing latency for optimal functionality. It is designed to tackle challenging AI applications in a variety of demanding environments, ensuring consistent high-performance outputs and maintaining superior energy efficiency for next-generation technologies.
The SCR7 Application Core is an epitome of advanced data processing capability within the RISC-V framework, designed to handle the computational requirements of sophisticated applications. This Linux-capable 64-bit core incorporates a dual-issue, out-of-order 12-stage pipeline featuring vector and cryptography extensions, optimizing operations for heavy data-centric workloads.\n\nIts memory subsystem includes robust L1, L2, and MMU configurations that equip the SCR7 with the prerequisite tools for expansive architectural frameworks. Support for dual-core multiprocessor configurations and efficient cache coherency ensures streamlined operations, catering to diverse processing needs across networked and AI applications.\n\nApplications in high-performance computing, AI, and networking thrive with the SCR7 core's energy-efficient, data-allied design. From video processing to computer vision, this core empowers developers to transcend traditional limitations, ushering in a new era of computational capability for enterprise and consumer technologies alike.
Akida IP is BrainChip's pioneering neuromorphic processor, crafted to mimic the human brain's analytic capabilities by processing only essential sensor inputs. This localized processing greatly enhances efficiency and privacy, as it significantly reduces the need for cloud data transactions. The processor offers scalable architecture supporting up to 256 nodes interconnected via a mesh network with each node composed of four configurable Neural Network Layer Engines. This event-based technology cuts down operations drastically compared to traditional methods, promoting lower power consumption. With robust support for on-chip learning and incremental learning capabilities, Akida IP is apt for a diverse range of applications and environments. The neural network processor adapts to real-time data seamlessly, creating new avenues for personalized and private on-device AI experiences. The architecture of Akida IP allows it to run complete neural networks, managing various neural network functions in hardware, thus optimizing resource utilization and power efficiency. Integrating Akida IP into systems is straightforward with BrainChip's development ecosystem, facilitating easy evaluation, design, and deployment processes. The Akida PCIe board and additional platform offerings, like the Raspberry Pi kit, promote seamless development and integration for intelligent AI endpoints, perfectly aligning with BrainChip's mission to streamline the implementation of edge AI solutions.
SnpExpert is a specialized tool for analyzing S-parameters in high-speed and RF circuits, crucial for addressing issues such as reflections and crosstalk. Supporting a range of COM protocols, SnpExpert offers advanced analysis features like parameter extraction and margin calculations. It also facilitates the creation of broadband models using rational fitting, ensuring users can design optimized signal paths. Whether handling NRZ or PAM-4 modulations, SnpExpert provides engineers with the detailed insights needed for precise signal integrity analysis and system compliance.
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!