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 Akida Neural Processor IP by BrainChip is a versatile AI solution that melds neural processing capabilities with scalable digital architecture, delivering high performance with minimal power consumption. At its core, this processor is engineered using principles from neuromorphic computing to address the demands of AI workloads with precision and speed. By enabling efficient computations with sparse data, the Akida Neural Processor optimizes sparse data, weights, and activations, making it especially suitable for AI applications that demand real-time processing with low latency. It provides a flexible solution for implementing neural networks with varying complexities and is adaptable to a wide array of use cases from audio processing to visual recognition. The IP core’s configurable framework supports the execution of complex neural models on edge devices, effectively running sophisticated neural algorithms like Convolutional Neural Networks (CNNs) without the need for complementary computing resources. This standalone operation capability reduces dependency on external CPUs, driving down power consumption and liberating devices from constant network connections.
The Akida 2nd Generation processor further advances BrainChip's AI capabilities with enhanced programmability and efficiency for complex neural network operations. Building on the principles of its predecessor, this generation is optimized for 8-, 4-, and 1-bit weights and activations, offering more robust activation functions and support for advanced temporal and spatial neural networks. A standout feature of the Akida 2nd Generation is its enhanced teaching capability, which includes learning directly on the chip. This enables the system to perform one-shot and few-shot learning, significantly boosting its ability to adapt to new tasks without extensive reprogramming. Its architecture supports more sophisticated machine learning models such as Convolutional Neural Networks (CNNs) and Spatio-Temporal Event-Based Neural Networks, optimizing them for energy-efficient application at the edge. The processor's design reduces the necessity for host CPU involvement, thus minimizing communication overhead and conserving energy. This makes it particularly suitable for real-time data processing applications where quick and efficient data handling is crucial. With event-based hardware that accelerates processing, the Akida 2nd Generation is designed for scalability, providing flexible solutions across a wide range of AI-driven tasks.
The KL730 AI SoC is an advanced powerhouse, utilizing third-generation NPU architecture to deliver up to 8 TOPS of efficient computing. This architecture excels in both CNN and transformer applications, optimizing DDR bandwidth usage. Its robust video processing features include 4K 60FPS video output, with exceptional performance in noise reduction, dynamic range, and low-light scenarios. With versatile application support ranging from intelligent security to autonomous driving, the KL730 stands out by delivering exceptional processing capabilities.
The Metis AIPU PCIe AI Accelerator Card by Axelera AI is designed for developers seeking top-tier performance in vision applications. Powered by a single Metis AIPU, this PCIe card delivers up to 214 TOPS, handling demanding AI tasks with ease. It is well-suited for high-performance AI inference, featuring two configurations: 4GB and 16GB memory options. The card benefits from the Voyager SDK, which enhances the developer experience by simplifying the deployment of applications and extending the card's capabilities. This accelerator PCIe card is engineered to run multiple AI models and support numerous parallel neural networks, enabling significant processing power for advanced AI applications. The Metis PCIe card performs at an industry-leading level, achieving up to 3,200 frames per second for ResNet-50 tasks and offering exceptional scalability. This makes it an excellent choice for applications demanding high throughput and low latency, particularly in computer vision fields.
The 1G to 224G SerDes platform stands out as one of Alphawave Semi's flagship offerings. It showcases a wide range of capabilities by supporting data transmission rates from 1Gbps to a staggering 224Gbps. This SerDes solution is compatible with a multitude of industry protocols and leverages innovative signaling schemes such as PAM2, PAM4, PAM6, and PAM8, which ensures robust performance across varied applications. Engineered to facilitate seamless integration, the SerDes IP meets the expansive data needs of modern computing environments. Crafted with high-speed digital data transmission in mind, the 1G to 224G SerDes delivers outstanding performance in handling interfaces that require precise timing and jitter management. This IP is adept at boosting signal integrity, a crucial feature in high-performance data centers and telecommunications infrastructure. Additionally, it offers a flexible framework adaptable to evolving connectivity demands within para-silicon environments, making it essential for companies aiming to maintain cutting-edge data solutions. Alphawave's SerDes IP is an integral component for industries that demand reliable and accelerated data pathways. Its flexibility further allows customization to match specific client requirements, ensuring optimized performance at minimized power usage. With strategic support for a broad array of process nodes, this SerDes IP is a future-proof investment for any technology-driven enterprise.
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 AI Camera Module is an innovative solution designed to bring cutting-edge AI capabilities to camera systems. Known for its enhanced image quality and AI-based processing, this module integrates seamlessly with a wide array of systems to deliver superior performance in real-time scenarios. It is equipped to handle complex image processing tasks, making it invaluable for applications ranging from security to AI-driven analytics. By incorporating the latest AI advancements into its operation, this module facilitates heightened awareness and analysis capabilities across various sectors. Altek's AI Camera Module emphasizes high-resolution image capture, ensuring that every detail is accurately recorded and processed for precise analysis. This technology not only supports high-definition imaging but also optimizes power consumption, making it suitable for integration into IoT and edge computing environments. Such adaptations are crucial for systems requiring constant, real-time image processing while retaining high operational efficiency. The module's design also promotes adaptability, allowing for custom configurations that meet specific client requirements. Its capability to integrate AI functionalities directly into the camera hardware enhances its appeal in industries focused on automation, surveillance, and smart analytics. This product affirms Altek's role in pioneering technological advancements that align with current and future demands for intelligent, efficient, and scalable solutions.
The Yitian 710 Processor is T-Head's flagship ARM-based server chip that represents the pinnacle of their technological expertise. Designed with a pioneering architecture, it is crafted for high efficiency and superior performance metrics. This processor is built using a 2.5D packaging method, integrating two dies and boasting a substantial 60 billion transistors. The core of the Yitian 710 consists of 128 high-performance Armv9 CPU cores, each accompanied by advanced memory configurations that streamline instruction and data caching processes. Each CPU integrates 64KB of L1 instruction cache, 64KB of L1 data cache, and 1MB of L2 cache, supplemented by a robust 128MB system-level cache on the chip. To support expansive data operations, the processor is equipped with an 8-channel DDR5 memory system, enabling peak memory bandwidth of up to 281GB/s. Its I/O subsystem is formidable, featuring 96 PCIe 5.0 channels capable of achieving dual-direction bandwidth up to 768GB/s. With its multi-layered design, the Yitian 710 Processor is positioned as a leading solution for cloud services, data analytics, and AI operations.
xcore.ai stands as a cutting-edge processor that brings sophisticated intelligence, connectivity, and computation capabilities to a broad range of smart products. Designed to deliver optimal performance for applications in consumer electronics, industrial control, and automotive markets, it efficiently handles complex processing tasks with low power consumption and rapid execution speeds. This processor facilitates seamless integration of AI capabilities, enhancing voice processing, audio interfacing, and real-time analytics functions. It supports various interfacing options to accommodate different peripheral and sensor connections, thus providing flexibility in design and deployment across multiple platforms. Moreover, the xcore.ai ensures robust performance in environments requiring precise control and high data throughput. Its compatibility with a wide array of software tools and libraries enables developers to swiftly create and iterate applications, reducing the time-to-market and optimizing the design workflows.
Veyron V2 represents the next generation of Ventana's high-performance RISC-V CPU. It significantly enhances compute capabilities over its predecessor, designed specifically for data center, automotive, and edge deployment scenarios. This CPU maintains compatibility with the RVA23 RISC-V specification, making it a powerful alternative to the latest ARM and x86 counterparts within similar domains. Focusing on seamless integration, the Veyron V2 offers clean, portable RTL implementations with a standardized interface, optimizing its use for custom SoCs with high-core counts. With a robust 512-bit vector unit, it efficiently supports workloads requiring both INT8 and BF16 precision, making it highly suitable for AI and ML applications. The Veyron V2 is adept in handling cloud-native and virtualized workloads due to its full architectural virtualization support. The architectural advancements offer significant performance-per-watt improvements, and advanced cache and virtualization features ensure a secure and reliable computing environment. The Veyron V2 is available as both a standalone IP and a complete hardware platform, facilitating diverse integration pathways for customers aiming to harness Ventana’s innovative RISC-V solutions.
The Tianqiao-70 is a low-power RISC-V CPU designed for commercial-grade applications where power efficiency is paramount. Suitable for mobile and desktop applications, artificial intelligence, as well as various other technology sectors, this processor excels in maintaining high performance while minimizing power consumption. Its design offers great adaptability to meet the requirements of different operational environments.
Chimera GPNPU provides a groundbreaking architecture, melding the efficiency of neural processing units with the flexibility and programmability of processors. It supports a full range of AI and machine learning workloads autonomously, eliminating the need for supplementary CPUs or GPUs. The processor is future-ready, equipped to handle new and emerging AI models with ease, thanks to its C++ programmability. What makes Chimera stand out is its ability to manage a diverse array of workloads within a singular processor framework that combines matrix, vector, and scalar operations. This harmonization ensures maximum performance for applications across various market sectors, such as automotive, mobile devices, and network edge systems. These capabilities are designed to streamline the AI development process and facilitate high-performance inference tasks, crucial for modern gadget ecosystems. The architecture is fully synthesizable, allowing it to be implemented in any process technology, from current to advanced nodes, adjusting to desired performance targets. The adoption of a hybrid Von Neuman and 2D SIMD matrix design supports a broad suite of DSP operations, providing a comprehensive toolkit for complex graph and AI-related processing.
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.
The Jotunn 8 is heralded as the world's most efficient AI inference chip, designed to maximize AI model deployment with lightning-fast speeds and scalability. This powerhouse is crafted to efficiently operate within modern data centers, balancing critical factors such as high throughput, low latency, and optimization of power use, all while maintaining a sustainable infrastructure. With the Jotunn 8, AI investments reach their full potential through high-performance inference solutions that significantly reduce operational costs while committing to environmental sustainability. Its ultra-low latency feature is crucial for real-time applications such as chatbots and fraud detection systems. Not only does it deliver high throughput needed for demanding services like recommendation engines, but it also proves cost-efficient, aiming to lower the cost per inference crucial for businesses operating at a large scale. Additionally, the Jotunn 8 boasts performance per watt efficiency, a major factor considering that power is a significant operational expense and a driver of the carbon footprint. By implementing the Jotunn 8, businesses can ensure their AI models deliver maximum impact while staying competitive in the growing real-time AI services market. This chip lays down a new foundation for scalable AI, enabling organizations to optimize their infrastructures without compromising on performance.
KPIT Technologies offers comprehensive AUTOSAR solutions that are pivotal for the development of modern, adaptive automotive systems. Emphasizing middleware integration and E/E architecture transformation, their solutions simplify the complexities of implementing adaptive AUTOSAR platforms, enabling streamlined application development and expeditious vehicle deployment. With extensive experience in traditional and adaptive AUTOSAR ecosystems, KPIT assists OEMs in navigating the challenges associated with software-defined vehicles. Their expertise facilitates the separation of hardware and software components, which is crucial for the future of vehicle digital transformation. KPIT's middleware development capabilities enhance vehicle systems' robustness and scalability, allowing for seamless integration across various automotive applications and ensuring compliance with industry standards. By fostering strategic partnerships and investing in cutting-edge technology solutions, KPIT ensures that its clients can confidently transition to and maintain advanced AUTOSAR platforms. The company's commitment to innovation and excellence positions it as a trusted partner for automakers striving to stay ahead in the competitive automotive landscape by embracing the shift towards fully software-defined vehicles.
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.
KPIT Technologies offers advanced ADAS and autonomous driving solutions designed to accelerate the widespread adoption of Level 3+ autonomy. The company addresses key challenges such as safety, feature development limitations, and validation fragmentation by integrating robust safety protocols and conducting thorough testing across various driving scenarios. Their solutions enhance the intelligence and reliability of autonomous systems by leveraging AI-driven decision-making, which goes beyond basic perception capabilities. KPIT's comprehensive validation frameworks and simulation environments ensure continuous and thorough validation of autonomous driving frameworks. By integrating AI-based perception and planning with system engineering and functional safety practices, KPIT empowers automakers to produce vehicles that are safe, reliable, and paving the way for autonomous mobility. Their strategic partnerships and domain expertise make KPIT a leader in automating vehicle development processes, ensuring readiness for the challenges of scaling autonomous vehicles. Through these innovations, KPIT continues to address the dynamic challenges of autonomous driving, providing automakers with the tools needed to develop increasingly advanced and autonomous vehicles well-positioned for future success.
Leveraging a high-performance RISC architecture, the eSi-3250 32-bit core efficiently integrates instruction and data caches. This makes it compatible with designs utilizing slower on-chip memories such as eFlash. The core not only supports MMU for address translation but also allows for user-defined custom instructions, greatly enhancing its flexibility for specialized and high-performance applications.
The Akida IP platform is a revolutionary neural processor inspired by the workings of the human brain to achieve unparalleled cognitive capabilities and energy efficiency. This self-contained neural processor utilizes a scalable architecture that can be configured from 1 to 128 nodes, each capable of supporting 128 MAC operations. It allows for the execution of complex neural network operations with minimal power and latency, making it ideal for edge AI applications in vision, audio, and sensor fusion. The Akida IP supports multiple data formats including 4-, 2-, and 1-bit weights and activations, enabling the seamless execution of various neural networks across multiple layers. Its convolutional and fully-connected neural processors can perform multi-layered executions independently of a host CPU, enhancing flexibility in diverse applications. Additionally, its event-based hardware acceleration significantly reduces computation and communication loads, preserving host CPU resources and optimizing overall system efficiency. Silicon-proven, the Akida platform provides a cost-effective and secure solution due to its on-chip learning capabilities, supporting one-shot and few-shot learning methods. By maintaining sensitive data on-chip, the system offers improved security and privacy. Its extensive configurability ensures adaptability for post-silicon applications, making Akida an intelligent and scalable choice for developers. It is especially suited for implementations that require real-time processing and sophisticated AI functionalities at the edge.
The KL520 AI SoC introduces edge AI with efficiency in size and power, setting a standard in the market for such technologies. Featuring a dual ARM Cortex M4 CPU, it serves as a versatile AI co-processor, supporting an array of smart devices. It’s designed for compatibility with various sensor technologies, enabling powerful 3D sensing capabilities.
The RV12 RISC-V Processor is a highly adaptable single-core CPU that adheres to the RV32I and RV64I specifications of the RISC-V instruction set, aimed at the embedded systems market. This processor supports a variety of standard and custom configurations, making it suitable for diverse application needs. Its inherent flexibility allows it to be implemented efficiently in both FPGA and ASIC environments, ensuring that it meets the performance and resource constraints typical of embedded applications. Designed with an emphasis on configurability, the RV12 Processor can be tailored to include only the necessary components, optimizing both area and power consumption. It comes with comprehensive documentation and verification testbenches, providing a complete solution for developers looking to integrate a RISC-V CPU into their design. Whether for educational purposes or commercial deployment, the RV12 stands out for its robust design and adaptability, making it an ideal choice for modern embedded system solutions.
The A25 processor model is a versatile CPU suitable for a variety of embedded applications. With its 5-stage pipeline and 32/64-bit architecture, it delivers high performance even with a low gate count, which translates to efficiency in power-sensitive environments. The A25 is equipped with Andes Custom Extensions that enable tailored instruction sets for specific application accelerations. Supporting robust high-frequency operations, this model shines in its ability to manage data prefetching and cache coherence in multicore setups, making it adept at handling complex processing tasks within constrained spaces.
The 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.
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 SAKURA-II AI Accelerator from EdgeCortix is a sophisticated solution designed to propel generative AI to new frontiers with impressive energy efficiency. This advanced accelerator provides unparalleled performance with high flexibility for a wide variety of applications, leveraging EdgeCortix's dedicated Dynamic Neural Accelerator architecture. SAKURA-II is optimized for real-time, low-latency AI inference on the edge, tackling demanding generative AI tasks efficiently in constrained environments. The accelerator boasts up to 60 TOPS (Tera Operations Per Second) INT8 performance, allowing it to process large neural networks with complex parameters such as Llama 2 and Stable Diffusion effectively. It supports applications across vision, language, audio, and beyond, by utilizing robust DRAM capabilities and enhanced data throughput. This allows it to outperform other solutions while maintaining a low power consumption profile typically around 8 watts. Designed for integration into small silicon spaces, SAKURA-II caters to the needs of highly efficient AI models, providing dynamic capabilities to meet the stringent requirements of next-gen applications. Thus, the SAKURA-II AI Accelerator stands out as a top choice for developers seeking seamless deployment of cutting-edge AI applications at the edge, underscoring EdgeCortix's leadership in energy-efficient AI processing.
With cutting-edge NPU architecture, the KL630 AI SoC pushes the boundaries of performance efficiency and low energy consumption. It stands as a pioneering solution supporting Int4 precision and transformer neural networks, offering noteworthy performance for diverse applications. Anchored by an ARM Cortex A5 CPU, it boasts compute efficiency and energy savings, making it ideal for various edge devices.
The Talamo Software Development Kit (SDK) is a dynamic and powerful environment tailored for the creation and deployment of advanced neuromorphic AI applications. By integrating seamlessly with PyTorch, Talamo provides a familiar and effective workflow for developers, enabling the construction of robust AI models that exploit the capabilities of spiking neural processors. This SDK extends PyTorch's standard functionalities, offering the necessary infrastructure for building and training spiking neural networks (SNNs) with ease. Talamo's architecture allows developers without specialized knowledge in SNNs to begin building applications that are optimized for neuromorphic processors. It provides compiled models that are specifically mapped to the versatile computing architecture of the Spiking Neural Processor. Furthermore, an architecture simulator offered by Talamo facilitates rapid hardware emulation, enabling quicker validation and development cycles for new applications. Designed to support developers in creating end-to-end application pipelines, Talamo allows the integration of custom functions and neural networks within a comprehensive framework. By removing the need for deep expertise in neuromorphic computing, Talamo empowers a larger population of developers to harness brain-inspired AI models, fostering innovation and accelerating the deployment of intelligent systems across various sectors.
EW6181 is an IP solution crafted for applications demanding extensive integration levels, offering flexibility by being licensable in various forms such as RTL, gate-level netlist, or GDS. Its design methodology focuses on delivering the lowest possible power consumption within the smallest footprint. The EW6181 effectively extends battery life for tags and modules due to its efficient component count and optimized Bill of Materials (BoM). Additionally, it is backed by robust firmware ensuring highly accurate and reliable location tracking while offering support and upgrades. The IP is particularly suitable for challenging application environments where precision and power efficiency are paramount, making it adaptable across different technology nodes given the availability of its RF frontend.
The 3D Imaging Chip is designed to enhance the capabilities of devices requiring advanced 3D sensing and imaging technology. With an emphasis on precision, this chip supports a myriad of applications ranging from security and surveillance systems to autonomous machinery. It integrates seamlessly not only into varied machine vision systems but also into devices used in different fields that rely on accurate depth perception. This 3D imaging solution underscores Altek's commitment to producing high-performance technology that aids in intricate environment analysis and decision-making processes. This chip employs cutting-edge algorithms to improve the depth perception capabilities of devices, ensuring that it can operate effectively in diverse environments from short to long range. By integrating seamlessly into complex systems, this product strengthens overall functionality, making it an indispensable component in robotics and automated systems. Its robust capacity to handle various environmental conditions also highlights its versatility in usage across different industries. Moreover, this imaging technology is meticulously crafted to reduce energy consumption while maintaining high processing speeds, which are critical in time-sensitive and energy-conscious applications. The sophistication of this chip lies in its ability to combine high-resolution data capture with fast data processing, providing users with the assurance of accuracy and efficiency in real-time operational settings. This positions it as a pivotal development for industries looking to adopt smarter and more efficient technological solutions.
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.
aiWare is engineered as a high-performance neural processing unit tailored for automotive AI applications, delivering exceptional power efficiency and computational capability across a broad spectrum of neural network tasks. Its design centers around achieving the utmost efficiency in AI inference, providing flexibility and scalability for various levels of autonomous driving, from basic L2 assistance systems to complex L4 self-driving operations. The aiWare architecture exemplifies leading-edge NPU efficiencies, reaching up to 98% across diverse neural network workloads like CNNs and RNNs, making it a premier choice for AI tasks in the automotive sector. It boasts an industry-leading 1024 TOPS capability, making it suitable for multi-sensor and multi-camera setups required by advanced autonomous vehicle systems. The NPU's hardware determinism aids in achieving high ISO 26262 ASIL B certification standards, ensuring it meets the rigorous safety specifications essential in automotive applications. Incorporating an easy-to-integrate RTL design and a comprehensive SDK, aiWare simplifies system integration and accelerates development timelines for automotive manufacturers. Its highly optimized dataflow and minimal external memory traffic significantly enhance system power economy, providing crucial benefits in reducing operational costs for deployed automotive AI solutions. Vibrant with efficiency, aiWare assures OEMs the capabilities needed to handle modern automotive workloads while maintaining minimal system constraints.
The eSi-1600 is a 16-bit CPU core designed for cost-sensitive and power-efficient applications. It accords performance levels similar to that of 32-bit CPUs while maintaining a system cost comparable to 8-bit processors. This IP is particularly well-suited for control applications needing limited memory resources, demonstrating excellent compatibility with mature mixed-signal technologies.
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 Mixed-Signal CODEC offered by Archband Labs integrates advanced analog and digital audio processing to deliver superior sound quality. Designed for a variety of applications such as portable audio devices, automotive systems, and entertainment systems, this CODEC provides efficiency and high performance. With cutting-edge technologies, it handles complex signal conversions with minimal power consumption. This CODEC supports numerous interface standards, making it a versatile component in numerous audio architectures. It's engineered to offer precise sound reproduction and maintains audio fidelity across all use cases. The integrated components within the CODEC streamline design processes and reduce the complexity of audio system implementations. Furthermore, the Mixed-Signal CODEC incorporates features that support high-resolution audio, ensuring compatibility with high-definition sound systems. It's an ideal choice for engineers looking for a reliable and comprehensive audio processing solution.
Polar ID is a groundbreaking biometric security solution designed for smartphones, providing a secure and convenient face unlock feature. Employing advanced meta-optic technology, Polar ID captures the polarization signature of a human face, offering an additional layer of security that easily identifies human tissue and foils sophisticated 3D mask attempts. This technology enables ultra-secure facial recognition in diverse environments, from daylight to complete darkness, without compromising on the user experience. Unlike traditional facial recognition systems, Polar ID operates using a simple, compact design that eliminates the need for multiple optical modules. Its unique capability to function in any lighting condition, including bright sunlight or total darkness, distinguishes it from conventional systems that struggle under such scenarios. Furthermore, the high resolution and precision of Polar ID ensure reliable performance even when users have their face partially obscured by sunglasses or masks. With its cost-effectiveness and small form factor, Polar ID is set to disrupt the mobile device market by making secure biometric authentication accessible to a broader range of smartphones, not just high-end models. By simplifying the integration of facial recognition technology, Polar ID empowers mobile devices to replace less secure, inconvenient fingerprint sensors, thus broadening the reach and applicability of facial biometrics in consumer electronics.
The SiFive Intelligence X280 is designed to address the burgeoning needs of AI and machine learning at the edge. Emphasizing a software-first methodology, this family of processors is crafted to offer scalable vector and matrix compute capabilities. By integrating broad vector processing features and high-bandwidth interfaces, it can adapt to the ever-evolving landscape of AI workloads, providing both high performance and efficient scalability. Built on the RISC-V foundation, the X280 features comprehensive vector compute engines that cater to modern AI demands, making it a powerful tool for edge computing applications where space and energy efficiency are critical. Its versatility allows it to seamlessly manage diverse AI tasks, from low-latency inferences to complex machine learning models, thanks to its support for RISC-V Vector Extensions (RVV). The X280 family is particularly robust for applications requiring rapid AI deployment and adaptation like IoT devices and smart infrastructure. Through extensive compatibility with machine learning frameworks such as TensorFlow Lite, it ensures ease of deployment, enhanced by its focus on energy-efficient inference solutions and support for legacy systems, making it a comprehensive solution for future AI technologies.
The Hanguang 800 AI Accelerator is engineered to propel artificial intelligence tasks to new heights with its cutting-edge architecture. This accelerator enhances machine learning tasks by speeding up neural network processing, making it a key player in the burgeoning AI sector. Its innovative design is optimized for low latency and high throughput, facilitating real-time AI application performance and enabling advanced machine learning model implementations. Harnessing an extensive array of computing cores, the Hanguang 800 ensures parallel processing capabilities that significantly reduce training times for large-scale AI models. Its application scope covers diverse sectors, including autonomous driving, smart city infrastructure, and intelligent robotics, underscoring its versatility and adaptability. Built with energy efficiency in mind, this AI accelerator prioritizes minimal power consumption, making it ideal for data centers looking to maximize computational power without overextending their energy footprint. By integrating seamlessly with existing frameworks, the Hanguang 800 offers a ready-to-deploy solution for enterprises seeking to enhance their AI-driven services and operations.
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.
The ORC3990 is a groundbreaking LEO Satellite Endpoint SoC engineered for use in the Totum DMSS Network, offering exceptional sensor-to-satellite connectivity. This SoC operates within the ISM band and features advanced RF transceiver technology, power amplifiers, ARM CPUs, and embedded memory. It boasts a superior link budget that facilitates indoor signal coverage. Designed with advanced power management capabilities, the ORC3990 supports over a decade of battery life, significantly reducing maintenance requirements. Its industrial temperature range of -40 to +85 degrees Celsius ensures stable performance in various environmental conditions. The compact design of the ORC3990 fits seamlessly into any orientation, further enhancing its ease of use. The SoC's innovative architecture eliminates the need for additional GNSS chips, achieving precise location fixes within 20 meters. This capability, combined with its global LEO satellite coverage, makes the ORC3990 a highly attractive solution for asset tracking and other IoT applications where traditional terrestrial networks fall short.
Poised to deliver exceptional performance in advanced applications, the SCR9 processor core epitomizes modern processing standards with its 12-stage dual-issue out-of-order pipeline and hypervisor support. Its inclusion of a vector processing unit (VPU) positions it as essential for high-performance computing tasks that require extensive parallel data processing. Suitable for high-demand environments such as enterprise data systems, AI workloads, and computationally intensive mobile applications, the SCR9 core is tailored to address high-throughput demands while maintaining reliability and accuracy. With support for symmetric multiprocessing (SMP) of up to 16 cores, this core stands as a configurable powerhouse, enabling developers to maximize processing efficiency and throughput. The SCR9's capabilities are bolstered by Syntacore’s dedication to supporting developers with comprehensive tools and documentation, ensuring efficient design and implementation. Through its blend of sophisticated features and support infrastructure, the SCR9 processor core paves the way for advancing technological innovation across numerous fields, establishing itself as a robust solution in the rapidly evolving landscape of high-performance computing.
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.
Dillon Engineering's 2D FFT core delivers robust performance for transforming two-dimensional data sets into the frequency domain with high precision and efficiency. By leveraging both internal and external memory between dual FFT engines, this core optimizes the data processing pipeline, ensuring fast and reliable results even as data complexity increases. Ideal for applications that handle image processing and data matrix transformations, the 2D FFT core navigates data bandwidth constraints with ease, maintaining throughput even for larger data sets. This core's design maximizes data accuracy and minimizes processing delays, crucial for applications requiring precise image recognition and analysis. Thanks to the adaptable nature provided by Dillon's ParaCore Architect, this IP core is easily customized for various FPGA and ASIC environments. Its flexibility and robust processing capabilities make the 2D FFT core a key component for cutting-edge applications in fields where data translation and processing are critical.
The KL530 is Kneron's state-of-the-art AI chip with a unique NPU architecture, leading the market in INT4 precision and transformers. Designed for higher efficiency, it features lower power consumption while maintaining robust performance. The chip supports various AI models and configurations, making it adaptable across AIoT and other technology landscapes.
The eSi-3200, a 32-bit cacheless core, is tailored for embedded control with its expansive and configurable instruction set. Its capabilities, such as 64-bit multiply-accumulate operations and fixed-point complex multiplications, cater effectively to signal processing tasks like FFTs and FIRs. Additionally, it supports SIMD and single-precision floating point operations, coupled with efficient power management features, enhancing its utility for diverse embedded applications.
The Ultra-Low-Power 64-Bit RISC-V Core by Micro Magic is engineered to deliver exceptional energy efficiency while maintaining high performance. This core is specifically designed to operate at 1GHz while consuming a mere 10mW of power, making it ideal for today's power-conscious applications. Utilizing advanced design techniques, this processor achieves its high performance at lower voltages, ensuring reduced power consumption without sacrificing speed. Constructed with a focus on optimizing processing capabilities, this RISC-V core is built to cater to demanding environments where energy efficiency is critical. Whether used as a standalone processor or integrated into larger systems, its low power requirements and robust performance make it highly versatile. This core also supports scalable processing with its architecture, accommodating a broad spectrum of applications from IoT devices to performance-intensive computing tasks, aligning with industry standards for modern electronic products.
The Azurite Core-hub by InCore Semiconductors is a sophisticated solution designed to offer scalable RISC-V SoCs with high-speed secure interconnect capabilities. This processor is tailored for performance-demanding applications, ensuring that systems maintain robust security while executing tasks at high speeds. Azurite leverages advanced interconnect technologies to enhance the communication between components within a SoC, making it ideal for industries that require rapid data transfer and high processing capabilities. The core is engineered to be scalable, supporting a wide range of applications from edge AI to functional safety systems, adapting seamlessly to various industry needs. Engineered with a focus on security, the Azurite Core-hub incorporates features that protect data integrity and system operation in a dynamic technological landscape. This makes it a reliable choice for companies seeking to integrate advanced RISC-V architectures into their security-focused applications, offering not just innovation but also peace of mind with its secure design.
The GenAI v1-Q from RaiderChip brings forth a specialized focus on quantized AI operations, reducing memory requirements significantly while maintaining impressive precision and speed. This innovative accelerator is engineered to execute large language models in real-time, utilizing advanced quantization techniques such as Q4_K and Q5_K, thereby enhancing AI inference efficiency especially in memory-constrained environments. By offering a 276% boost in processing speed alongside a 75% reduction in memory footprint, GenAI v1-Q empowers developers to integrate advanced AI capabilities into smaller, less powerful devices without sacrificing operational quality. This makes it particularly advantageous for applications demanding swift response times and low latency, including real-time translation, autonomous navigation, and responsive customer interactions. The GenAI v1-Q diverges from conventional AI solutions by functioning independently, free from external network or cloud auxiliaries. Its design harmonizes superior computational performance with scalability, allowing seamless adaptation across variegated hardware platforms including FPGAs and ASIC implementations. This flexibility is crucial for tailoring performance parameters like model scale, inference velocity, and power consumption to meet exacting user specifications effectively. RaiderChip's GenAI v1-Q addresses crucial AI industry needs with its ability to manage multiple transformer-based models and confidential data securely on-premises. This opens doors for its application in sensitive areas such as defense, healthcare, and financial services, where confidentiality and rapid processing are paramount. With GenAI v1-Q, RaiderChip underscores its commitment to advancing AI solutions that are both environmentally sustainable and economically viable.
The Y180 is a CPU-focused IP core that efficiently replicates the functionality of the Zilog Z180 CPU, comprising around 8k gates. This implementation showcases Systemyde’s commitment to detail, ensuring a consistent and reliable performance within a minimized footprint. With a core dedicated to sustaining traditional CPU operations, the Y180 is notably small yet potent, suiting designs requiring streamlined CPU cores. It remains resilient in environments that demand traditional computing interfaces, providing a dependable platform for basic process tasks. Its silicon-proven design attests to its dependability and functionality across various implementations. As a go-to standard, the Y180 supports standard CPU applications seamlessly, acting as an accessible solution for Zilog’s architectural compatibility.
The Chipchain C100 is a pioneering solution in IoT applications, providing a highly integrated single-chip design that focuses on low power consumption without compromising performance. Its design incorporates a powerful 32-bit RISC-V CPU which can reach speeds up to 1.5GHz. This processing power ensures efficient and capable computing for diverse IoT applications. This chip stands out with its comprehensive integrated features including embedded RAM and ROM, making it efficient in both processing and computing tasks. Additionally, the C100 comes with integrated Wi-Fi and multiple interfaces for transmission, broadening its application potential significantly. Other notable features of the C100 include an ADC, LDO, and a temperature sensor, enabling it to handle a wide array of IoT tasks more seamlessly. With considerations for security and stability, the Chipchain C100 facilitates easier and faster development in IoT applications, proving itself as a versatile component in smart devices like security systems, home automation products, and wearable technology.
The SiFive Essential family stands out as a versatile solution, delivering a wide range of pre-defined embedded CPU cores suitable for a variety of industrial applications. Whether you're designing for minimal area and power consumption or maximum feature capabilities, Essential offers configurations that adapt to diverse industrial needs. From compact microcontrollers to rich OS-compatible CPUs, Essential supports 32-bit and 64-bit pipelines, ensuring an optimal balance between performance and efficiency. This flexibility is enhanced by advanced tracing and debugging features, robust SoC security through WorldGuard support, and a broad array of interface options for seamless SoC integration. These comprehensive support mechanisms assure developers of maximum adaptability and accelerated integration within their designs, whether in IoT devices or control plane applications. SiFive Essential’s power efficiency and adaptability make it particularly suited for deploying customizable solutions in embedded applications. Whether the requirement is for intense computational capacity or low-power, battery-efficient tasks, Essential cores help accelerate time-to-market while offering robust performance in compact form factors, emphasizing scalable and secure solutions for a variety of applications.
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