The CPU, or Central Processing Unit, is the central component of computer systems, acting as the brain that executes instructions and processes data. Our category of CPU semiconductor IPs offers a diverse selection of intellectual properties that enable the development of highly efficient and powerful processors for a wide array of applications, from consumer electronics to industrial systems. Semiconductor IPs in this category are designed to meet the needs of modern computing, offering adaptable and scalable solutions for different technology nodes and design requirements.
These CPU semiconductor IPs provide the core functionalities required for the development of processors capable of handling complex computations and multitasking operations. Whether you're developing systems for mobile devices, personal computers, or embedded systems, our IPs offer optimized solutions that cater to the varying demands of power consumption, processing speed, and operational efficiency. This ensures that you can deliver cutting-edge products that meet the market's evolving demands.
Within the CPU semiconductor IP category, you'll find a range of products including RISC (Reduced Instruction Set Computer) processors, multi-core processors, and customizable processor cores among others. Each product is designed to integrate seamlessly with other system components, offering enhanced compatibility and flexibility in system design. These IP solutions are developed with the latest architectural advancements and technological improvements to support next-generation computing needs.
Selecting the right CPU semiconductor IP is crucial for achieving target performance and efficiency in your applications. Our offerings are meticulously curated to provide comprehensive solutions that are robust, reliable, and capable of supporting diverse computing applications. Explore our CPU semiconductor IP portfolio to find the perfect components that will empower your innovative designs and propel your products into the forefront of technology.
Akida Neural Processor IP by BrainChip serves as a pivotal technology asset for enhancing edge AI capabilities. This IP core is specifically designed to process neural network tasks with a focus on extreme efficiency and power management, making it an ideal choice for battery-powered and small-footprint devices. By utilizing neuromorphic principles, the Akida Neural Processor ensures that only the most relevant computations are prioritized, which translates to substantial energy savings while maintaining high processing speeds. This IP's compatibility with diverse data types and its ability to form multi-layer neural networks make it versatile for a wide range of industries including automotive, consumer electronics, and healthcare. Furthermore, its capability for on-device learning, without network dependency, contributes to improved device autonomy and security, making the Akida Neural Processor an integral component for next-gen intelligent systems. Companies adopting this IP can expect enhanced AI functionality with reduced development overheads, enabling quicker time-to-market for innovative AI solutions.
The Akida 2nd Generation continues BrainChip's legacy of low-power, high-efficiency AI processing at the edge. This iteration of the Akida platform introduces expanded support for various data precisions, including 8-, 4-, and 1-bit weights and activations, which enhance computational flexibility and efficiency. Its architecture is significantly optimized for both spatial and temporal data processing, serving applications that demand high precision and rapid response times such as robotics, advanced driver-assistance systems (ADAS), and consumer electronics. The Akida 2nd Generation's event-based processing model greatly reduces unnecessary operations, focusing on real-time event detection and response, which is vital for applications requiring immediate feedback. Furthermore, its sophisticated on-chip learning capabilities allow adaptation to new tasks with minimal data, fostering more robust AI models that can be personalized to specific use cases without extensive retraining. As industries continue to migrate towards AI-powered solutions, the Akida 2nd Generation provides a compelling proposition with its improved performance metrics and lower power consumption profile.
The KL730 is a third-generation AI chip that integrates advanced reconfigurable NPU architecture, delivering up to 8 TOPS of computing power. This cutting-edge technology enhances computational efficiency across a range of applications, including CNN and transformer networks, while minimizing DDR bandwidth requirements. The KL730 also boasts enhanced video processing capabilities, supporting 4K 60FPS outputs. With expertise spanning over a decade in ISP technology, the KL730 stands out with its noise reduction, wide dynamic range, fisheye correction, and low-light imaging performance. It caters to markets like intelligent security, autonomous vehicles, video conferencing, and industrial camera systems, among others.
Designed for high-performance applications, the Metis AIPU PCIe AI Accelerator Card by Axelera AI offers powerful AI processing capabilities in a PCIe card format. This card is equipped with the Metis AI Processing Unit, capable of delivering up to 214 TOPS, making it ideal for intensive AI tasks and vision applications that require substantial computational power. With support for the Voyager SDK, this card ensures seamless integration and rapid deployment of AI models, helping developers leverage existing infrastructures efficiently. It's tailored for applications that demand robust AI processing like high-resolution video analysis and real-time object detection, handling complex networks with ease. Highlighted for its performance in ResNet-50 processing, which it can execute at a rate of up to 3,200 frames per second, the PCIe AI Accelerator Card perfectly meets the needs of cutting-edge AI applications. The software stack enhances the developer experience, simplifying the scaling of AI workloads while maintaining cost-effectiveness and energy efficiency for enterprise-grade solutions.
Akida IP represents BrainChip's groundbreaking approach to neuromorphic AI processing. Inspired by the efficiencies of cognitive processing found in the human brain, Akida IP delivers real-time AI processing capabilities directly at the edge. Unlike traditional data-intensive architectures, it operates with significantly reduced power consumption. Akida IP's design supports multiple data formats and integrates seamlessly with other hardware platforms, making it flexible for a wide range of AI applications. Uniquely, it employs sparsity, focusing computation only on pertinent data, thereby minimizing unnecessary processing and conserving power. The ability to operate independently of cloud-driven data processes not only conserves energy but enhances data privacy and security by ensuring that sensitive data remains on the device. Additionally, Akida IP’s temporal event-based neural networks excel in tracking event patterns over time, providing invaluable benefits in sectors like autonomous vehicles where rapid decision-making is critical. Akida IP's remarkable integration capacity and its scalability from small, embedded systems to larger computing infrastructures make it a versatile choice for developers aiming to incorporate smart AI capabilities into various devices.
The Ventana Veyron V2 CPU represents a substantial upgrade in processing power, setting a new standard in AI and data center performance with its RISC-V architecture. Created for applications that demand intensive computing resources, the Veyron V2 excels in providing high throughput and superior scalability. It is aimed at cloud-native operations and intensive data processing tasks requiring robust, reliable compute power. This CPU is finely tuned for modern, virtualized environments, delivering a server-class performance tailored to manage cloud-native workloads efficiently. The Veyron V2 supports a range of integration options, making it dependably adaptable for custom silicon platforms and high-performance system infrastructures. Its design incorporates an IOMMU compliant with RISC-V standards, enabling seamless interoperability with third-party IPs and modules. Ventana's innovation is evident in the Veyron V2's capacity for heterogeneous computing configurations, allowing diverse workloads to be managed effectively. Its architecture features advanced cluster and cache infrastructures, ensuring optimal performance across large-scale deployment scenarios. With a commitment to open standards and cutting-edge technologies, the Veyron V2 is a critical asset for organizations pursuing the next level in computing performance and efficiency.
The Yitian 710 processor from T-Head represents a significant advancement in server chip technology, featuring an ARM-based architecture optimized for cloud applications. With its impressive multi-core design and high-speed memory access, this processor is engineered to handle intensive data processing tasks with efficiency and precision. It incorporates advanced fabrication techniques, offering high throughput and low latency to support next-generation cloud computing environments. Central to its architecture are 128 high-performance CPU cores utilizing the Armv9 structure, which facilitate superior computational capabilities. These cores are paired with substantial cache size and high-speed DDR5 memory interfaces, optimizing the processor's ability to manage massive workloads effectively. This attribute makes it an ideal choice for data centers looking to enhance processing speed and efficiency. In addition to its hardware prowess, the Yitian 710 is designed to deliver excellent energy efficiency. It boasts a sophisticated power management system that minimizes energy consumption without sacrificing performance, aligning with green computing trends. This combination of power, efficiency, and environmentally friendly design positions the Yitian 710 as a pivotal choice for enterprises propelling into the future of computing.
xcore.ai is a versatile and powerful processing platform designed for AIoT applications, delivering a balance of high performance and low power consumption. Crafted to bring AI processing capabilities to the edge, it integrates embedded AI, DSP, and advanced I/O functionalities, enabling quick and effective solutions for a variety of use cases. What sets xcore.ai apart is its cycle-accurate programmability and low-latency control, which improve the responsiveness and precision of the applications in which it is deployed. Tailored for smart environments, xcore.ai ensures robust and flexible computing power, suitable for consumer, industrial, and automotive markets. xcore.ai supports a wide range of functionalities, including voice and audio processing, making it ideal for developing smart interfaces such as voice-controlled devices. It also provides a framework for implementing complex algorithms and third-party applications, positioning it as a scalable solution for the growing demands of the connected world.
The Chimera GPNPU from Quadric is engineered to meet the diverse needs of modern AI applications, bridging the gap between traditional processing and advanced AI model requirements. It's a fully licensable processor, designed to deliver high AI inference performance while eliminating the complexity of traditional multi-core systems. The GPNPU boasts an exceptional ability to execute various AI models, including classical backbones, state-of-the-art transformers, and large language models, all within a single execution pipeline.\n\nOne of the core strengths of the Chimera GPNPU is its unified architecture that integrates matrix, vector, and scalar processing capabilities. This singular design approach allows developers to manage complex tasks such as AI inference and data-parallel processing without resorting to multiple tools or artificial partitioning between processors. Users can expect heightened productivity thanks to its modeless operation, which is fully programmable and efficiently executes C++ code alongside AI graph code.\n\nIn terms of versatility and application potential, the Chimera GPNPU is adaptable across different market segments. It's available in various configurations to suit specific performance needs, from single-core designs to multi-core clusters capable of delivering up to 864 TOPS. This scalability, combined with future-proof programmability, ensures that the Chimera GPNPU not only addresses current AI challenges but also accommodates the ever-evolving landscape of cognitive computing requirements.
The Metis AIPU M.2 Accelerator Module from Axelera AI is a cutting-edge solution designed for enhancing AI performance directly within edge devices. Engineered to fit the M.2 form factor, this module packs powerful AI processing capabilities into a compact and efficient design, suitable for space-constrained applications. It leverages the Metis AI Processing Unit to deliver high-speed inference directly at the edge, minimizing latency and maximizing data throughput. The module is optimized for a range of computer vision tasks, making it ideal for applications like multi-channel video analytics, quality inspection, and real-time people monitoring. With its advanced architecture, the AIPU module supports a wide array of neural networks and can handle up to 24 concurrent video streams, making it incredibly versatile for industries looking to implement AI-driven solutions across various sectors. Providing seamless compatibility with AI frameworks such as TensorFlow, PyTorch, and ONNX, the Metis AIPU integrates seamlessly with existing systems to streamline AI model deployment and optimization. This not only boosts productivity but also significantly reduces time-to-market for edge AI solutions. Axelera's comprehensive software support ensures that users can achieve maximum performance from their AI models while maintaining operational efficiency.
The KL630 is a pioneering AI chipset featuring Kneron's latest NPU architecture, which is the first to support Int4 precision and transformer networks. This cutting-edge design ensures exceptional compute efficiency with minimal energy consumption, making it ideal for a wide array of applications. With an ARM Cortex A5 CPU at its core, the KL630 excels in computation while maintaining low energy expenditure. This SOC is designed to handle both high and low light conditions optimally and is perfectly suited for use in diverse edge AI devices, from security systems to expansive city and automotive networks.
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 SAKURA-II AI Accelerator represents a cutting-edge advancement in the field of generative AI, offering remarkable efficiency in a compact form factor. Engineered for rapid real-time inferencing, it excels in applications requiring low latency and robust performance in small, power-efficient silicon. This accelerator adeptly manages multi-billion parameter models, including Llama 2 and Stable Diffusion, under typical power requirements of 8W, catering to diverse applications from Vision to Language and Audio. Its core advantage lies in exceeding the AI compute utilization of other solutions, ensuring outstanding energy efficiency. The SAKURA-II further supports up to 32GB of DRAM, leveraging enhanced bandwidth for superior performance. Sparse computing techniques minimize memory footprint, while real-time data streaming and support for arbitrary activation functions elevate its functionality, enabling sophisticated applications in edge environments. This versatile AI accelerator not only enhances energy efficiency but also delivers robust memory management, supporting advanced precision for near-FP32 accuracy. Coupled with advanced power management, it suits a wide array of edge AI implementations, affirming its place as a leader in generative AI technologies at the edge.
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 Jotunn8 AI Accelerator represents a pioneering approach in AI inference chip technology, designed to cater to the demanding needs of contemporary data centers. Its architecture is optimized for high-speed deployment of AI models, combining rapid data processing capabilities with cost-effectiveness and energy efficiency. By integrating features such as ultra-low latency and substantial throughput capacity, it supports real-time applications like chatbots and fraud detection that require immediate data processing and agile responses. The chip's impressive performance per watt metric ensures a lower operational cost, making it a viable option for scalable AI operations that demand both efficiency and sustainability. By reducing power consumption, Jotunn8 not only minimizes expenditure but also contributes to a reduced carbon footprint, aligning with the global move towards greener technology solutions. These attributes make Jotunn8 highly suitable for applications where energy considerations and environmental impact are paramount. Additionally, Jotunn8 offers flexibility in memory performance, allowing for the integration of complexity in AI models without compromising on speed or efficiency. The design emphasizes robustness in handling large-scale AI services, catering to the new challenges posed by expanding data needs and varied application environments. Jotunn8 is not simply about enhancing inference speed; it proposes a new baseline for scalable AI operations, making it a foundational element for future-proof AI infrastructure.
Designed for minimal power consumption, the Tianqiao-70 is a 64-bit RISC-V CPU core that harmonizes efficiency with energy savings. Targeting primarily the commercial space, this CPU core supports applications that demand lower power usage without compromising performance outputs. It stands out in the fields of mobile and desktop processing, AI learning, and other demanding applications that require consistent yet power-efficient computing. Architected to provide maximum throughput with minimum power draw, it is essential for energy-critical systems. The Tianqiao-70 showcases StarFive's commitment to optimizing for efficiency, enabling mobile, desktop, and AI platforms to leverage low power requirements effectively. This makes it a compelling choice for developers aiming to integrate eco-friendly solutions in their products.
The RV12 RISC-V Processor is a versatile single-core microprocessor that adheres to both the RV32I and RV64I RISC-V instruction sets. Designed primarily for the embedded market, this processor features a Harvard architecture that enables simultaneous instruction and data accesses, enhancing performance in computing tasks. As part of the Roa Logic CPU family, this processor is highly configurable, allowing users to adjust its parameters to fit specific application requirements, thus making it an excellent choice for technology developers seeking efficient custom solutions.
The NMP-750 is a high-performance accelerator designed for edge computing, particularly suited for automotive, AR/VR, and telecommunications sectors. It boasts an impressive capacity of up to 16 TOPS and 16 MB local memory, powered by a RISC-V or Arm Cortex-R/A 32-bit CPU. The three AXI4 interfaces ensure seamless data transfer and processing. This advanced accelerator supports multifaceted applications such as mobility control, building automation, and multi-camera processing. It's designed to cope with the rigorous demands of modern digital and autonomous systems, offering substantial processing power and efficiency for intensive computational tasks. The NMP-750's ability to integrate into smart systems and manage spectral efficiency makes it crucial for communications and smart infrastructure management. It helps streamline operations, maintain effective energy management, and facilitate sophisticated AI-driven automation, ensuring that even the most complex data flows are handled efficiently.
The AX45MP is engineered as a high-performance processor that supports multicore architecture and advanced data processing capabilities, particularly suitable for applications requiring extensive computational efficiency. Powered by the AndesCore processor line, it capitalizes on a multicore symmetric multiprocessing framework, integrating up to eight cores with robust L2 cache management. The AX45MP incorporates advanced features such as vector processing capabilities and support for MemBoost technology to maximize data throughput. It caters to high-demand applications including machine learning, digital signal processing, and complex algorithmic computations, ensuring data coherence and efficient power usage.
The KL520 marks Kneron's foray into the edge AI landscape, offering an impressive combination of size, power efficiency, and performance. Armed with dual ARM Cortex M4 processors, this chip can operate independently or as a co-processor to enable AI functionalities such as smart locks and security monitoring. The KL520 is adept at 3D sensor integration, making it an excellent choice for applications in smart home ecosystems. Its compact design allows devices powered by it to operate on minimal power, such as running on AA batteries for extended periods, showcasing its exceptional power management capabilities.
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 aiWare hardware neural processing unit (NPU) stands out as a state-of-the-art solution for automotive AI applications, bringing unmatched efficiency and performance. Designed specifically for inference tasks associated with automated driving systems, aiWare supports a wide array of AI workloads including CNNs, LSTMs, and RNNs, ensuring optimal operation across numerous applications.\n\naiWare is engineered to achieve industry-leading efficiency rates, boasting up to 98% efficiency on automotive neural networks. It operates across various performance requirements, from cost-sensitive L2 regulatory applications to advanced multi-sensor L3+ systems. The hardware platform is production-proven, already implemented in several products like Nextchip's APACHE series and enjoys strong industry partnerships.\n\nA key feature of aiWare is its scalability, capable of delivering up to 1024 TOPS with its multi-core architecture, and maintaining high efficiency in diverse AI tasks. The design allows for straightforward integration, facilitating early-stage performance evaluations and certifications with its deterministic operations and minimal host CPU intervention.\n\nA dedicated SDK, aiWare Studio, furthers the potential of the NPU by providing a suite of tools focused on neural network optimization, supporting developers in tuning their AI models with fine precision. Optimized for automotive-grade applications, aiWare's technology ensures seamless integration into systems requiring AEC-Q100 Grade 2 compliance, significantly enhancing the capabilities of automated driving applications from L2 through L4.
The Hanguang 800 AI Accelerator by T-Head is designed to meet the needs of intensive machine learning workloads. Boasting superior performance, this AI accelerator leverages cutting-edge algorithms to enhance data processing capabilities, offering rapid speeds for AI tasks. It is particularly suited for deep learning applications that require high throughput and complex computation. Fitted with a highly efficient architecture, the Hanguang 800 speeds up machine learning model training and inference, enabling quicker deployments of AI solutions across industries. Its advanced design ensures compatibility with a wide range of machine learning frameworks, allowing for flexibility in AI application development and deployment. Energy efficiency is a key attribute of the Hanguang 800, incorporating modern power management features that reduce consumption without impacting performance. This makes it not only a high-performance option but also an environmentally friendly choice for businesses seeking to minimize their carbon footprint while optimizing AI processes.
The SiFive Intelligence X280 processor targets applications in machine learning and artificial intelligence, offering a high-performance, scalable architecture for emerging data workloads. As part of the Intelligence family, the X280 prioritizes a software-first methodology in processor design, addressing future ML and AI deployment needs, especially at the edge. This makes it particularly useful for scenarios requiring high computational power close to the data source. Central to its capabilities are scalable vector and matrix compute engines that can adapt to evolving workloads, thus future-proofing investments in AI infrastructure. With high-bandwidth bus interfaces and support for custom engine control, the X280 ensures seamless integration with varied system architectures, enhancing operational efficiency and throughput. By focusing on versatility and scalability, the X280 allows developers to deploy high-performance solutions without the typical constraints of more traditional platforms. It supports wide-ranging AI applications, from edge computing in IoT to advanced machine learning tasks, underpinning its role in modern and future-ready computing solutions.
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 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.
This core is designed for ultra-low power applications, offering a remarkable balance of power efficiency and performance. Operating at a mere 10mW at 1GHz, it showcases Micro Magic's advanced design techniques that allow for high-speed processing while maintaining low voltage operations. The core is ideal for energy-sensitive applications where performance cannot be compromised. With its ability to operate efficiently at 5GHz, this RISC-V core provides a formidable foundation for high-performance, low-power computing. It is a testament to Micro Magic's ability to develop cutting-edge solutions that cater to the needs of modern semiconductor applications. The 64-bit architecture ensures robust processing capabilities, making it suitable for a wide range of applications in various sectors. Whether for IoT devices or complex computing operations, this core is designed to meet diverse requirements by delivering power-packed performance.
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 KL530 represents a significant advancement in AI chip technology with a new NPU architecture optimized for both INT4 precision and transformer networks. This SOC is engineered to provide high processing efficiency and low power consumption, making it suitable for AIoT applications and other innovative scenarios. It features an ARM Cortex M4 CPU designed for low-power operation and offers a robust computational power of up to 1 TOPS. The chip's ISP enhances image quality, while its codec ensures efficient multimedia compression. Notably, the chip's cold start time is under 500 ms with an average power draw of less than 500 mW, establishing it as a leader in energy efficiency.
The NMP-350 is a cutting-edge endpoint accelerator designed to optimize power usage and reduce costs. It is ideal for markets like automotive, AIoT/sensors, and smart appliances. Its applications span from driver authentication and predictive maintenance to health monitoring. With a capacity of up to 1 TOPS and 1 MB of local memory, it incorporates a RISC-V/Arm Cortex-M 32-bit CPU and supports three AXI4 interfaces. This makes the NMP-350 a versatile component for various industrial applications, ensuring efficient performance and integration. Developed as a low-power solution, the NMP-350 is pivotal for applications requiring efficient processing power without inflating energy consumption. It is crucial for mobile and battery-operated devices where every watt conserved adds to the operational longevity of the product. This product aligns with modern demands for eco-friendly and cost-effective technologies, supporting enhanced performance in compact electronic devices. Technical specifications further define its role in the industry, exemplifying how it brings robust and scalable solutions to its users. Its adaptability across different applications, coupled with its cost-efficiency, makes it an indispensable tool for developers working on next-gen AI solutions. The NMP-350 is instrumental for developers looking to seamlessly incorporate AI capabilities into their designs without compromising on economy or efficiency.
The 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 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 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 Spiking Neural Processor T1 is a neuromorphic microcontroller engineered for always-on sensor applications. It utilizes a spiking neural network engine alongside a RISC-V processor core, creating an ultra-efficient single-chip solution for real-time data processing. With its optimized power consumption, it enables next-generation artificial intelligence and signal processing in small, battery-operated devices. The T1 delivers advanced applications capabilities within a minimal power envelope, making it suitable for use in devices where power and latency are critical factors. The T1 includes a compact, multi-core RISC-V CPU paired with substantial on-chip SRAM, enabling fast and responsive processing of sensor data. By employing the remarkable abilities of spiking neural networks for pattern recognition, it ensures superior power performance on signal-processing tasks. The versatile processor can execute both SNNs and conventional processing tasks, supported by various standard interfaces, thus offering maximum flexibility to developers looking to implement AI features across different devices. Developers can quickly prototype and deploy solutions using the T1's development kit, which includes software for easy integration into existing systems and tools for accurate performance profiling. The development kit supports a variety of sensor interfaces, streamlining the creation of sophisticated sensor applications without the need for extensive power or size trade-offs.
The SiFive Essential family of processors is renowned for its flexibility and wide applicability across embedded systems. These CPU cores are designed to meet specific market needs with pre-defined, silicon-proven configurations or through use of SiFive Core Designer for custom processor builds. Serving in a range of 32-bit to 64-bit options, the Essential processors can scale from microcontrollers to robust dual-issue CPUs. Widely adopted in the embedded market, the Essential series cores stand out for their scalable performance, adapting to diverse application requirements while maintaining power and area efficiency. They cater to billions of units worldwide, indicating their trusted performance and integration across various industries. The SiFive Essential processors offer an optimal balance of power, area, and cost, making them suitable for a wide array of devices, from IoT and consumer electronics to industrial applications. They provide a solid foundation for products that require reliable performance at a competitive price.
ReRAM Memory by CrossBar is designed to push the boundaries of storage technology, offering a high-performance, low-latency memory solution that is both scalable and energy-efficient. This memory technology boasts a radical structure that allows it to function distinctly from traditional memory. It is built to scale under 10nm and integrate seamlessly in 3D stackable architectures, which is ideal for future-proofing against the rising demands of data processing and storage. What sets ReRAM apart is its capability to deliver up to 1000 times the endurance of conventional memory solutions and greatly enhance read and write speeds. This is achieved by its simple yet robust structure, allowing it to be integrated with existing logic circuits without the need for specialized tools. ReRAM is particularly suitable for applications across various domains such as IoT, AI, data centers, and even newer consumer electronics, making it versatile and widely applicable. ReRAM provides a unique advantage in being directly integrated into modern fabrication processes, simplifying both production and deployment for manufacturers. This flexibility ensures that ReRAM can maintain high levels of performance while meeting the industry's stringent efficiency requirements. Moreover, it offers substantial opportunities to advance secure computing through innovative uses in secure keys and encryption functions.
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.
Syntacore's SCR9 processor core is a state-of-the-art, high-performance design targeted at applications requiring extensive data processing across multiple domains. It features a robust 12-stage dual-issue out-of-order pipeline and is Linux-capable. Additionally, the core supports up to 16 cores, offering superior processing power and versatility. This processor includes advanced features such as a VPU (Vector Processing Unit) and hypervisor support, allowing it to manage complex computational tasks efficiently. The SCR9 is particularly well-suited for deployments in enterprise, AI, and telecommunication sectors, reinforcing its status as a key component in next-generation computing solutions.
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 General Purpose Accelerator (Aptos) from Ascenium stands out as a redefining force in the realm of CPU technology. It seeks to overcome the limitations of traditional CPUs by providing a solution that tackles both performance inefficiencies and high energy demands. Leveraging compiler-driven architecture, this accelerator introduces a novel approach by simplifying CPU operations, making it exceptionally suited for handling generic code. Notably, it offers compatibility with the LLVM compiler, ensuring a wide range of applications can be adapted seamlessly without rewrites. The Aptos excels in performance by embracing a highly parallel yet simplified CPU framework that significantly boosts efficiency, reportedly achieving up to four times the performance of cutting-edge CPUs. Such advancements cater not only to performance-oriented tasks but also substantially mitigate energy consumption, providing a dual benefit of cost efficiency and reduced environmental impact. This makes Aptos a valuable asset for data centers seeking to optimize their energy footprint while enhancing computational capabilities. Additionally, the Aptos architecture supports efficient code execution by resolving tasks predominantly at compile-time, allowing the processor to handle workloads more effectively. This allows standard high-level language software to run with improved efficiency across diverse computing environments, aligning with an overarching goal of greener computing. By maximizing operational efficiency and reducing carbon emissions, Aptos propels Ascenium into a leading position in the sustainable and high-performance computing sector.
RAIV represents Siliconarts' General Purpose-GPU (GPGPU) offering, engineered to accelerate data processing across diverse industries. This versatile GPU IP is essential in sectors engaged in high-performance computing tasks, such as autonomous driving, IoT, and sophisticated data centers. With RAIV, Siliconarts taps into the potential of the fourth industrial revolution, enabling rapid computation and seamless data management. The RAIV architecture is poised to deliver unmatched efficiency in high-demand scenarios, supporting massive parallel processing and intricate calculations. It provides an adaptable framework that caters to the needs of modern computing, ensuring balanced workloads and optimized performance. Whether used for VR/AR applications or supporting the back-end infrastructure of data-intensive operations, RAIV is designed to meet and exceed industry expectations. RAIV’s flexible design can be tailored to enhance a broad spectrum of applications, promising accelerated innovation in sectors dependent on AI and machine learning. This GPGPU IP not only underscores Siliconarts' commitment to technological advancement but also highlights its capability to craft solutions that drive forward computational boundaries.
The KL720 AI SoC is designed for optimal performance-to-power ratios, achieving 0.9 TOPS per watt. This makes it one of the most efficient chips available for edge AI applications. The SOC is crafted to meet high processing demands, suitable for high-end devices including smart TVs, AI glasses, and advanced cameras. With an ARM Cortex M4 CPU, it enables superior 4K imaging, full HD video processing, and advanced 3D sensing capabilities. The KL720 also supports natural language processing (NLP), making it ideal for emerging AI interfaces such as AI assistants and gaming gesture controls.
The eSi-1650 is a compact, low-power 16-bit CPU core integrating an instruction cache, making it an ideal choice for mature process nodes reliant on OTP or Flash program memory. By omitting large on-chip RAMs, the IP core optimizes power and area efficiency and permits the CPU to capitalize on its maximum operational frequency beyond OTP/Flash constraints.
The RISC-V Core IP developed by AheadComputing Inc. stands out in the field of 64-bit application processors. Designed to deliver exceptional per-core performance, this processor is engineered with the highest standards to maximize the Instructions Per Cycle (IPC) efficiency. AheadComputing's RISC-V Core IP is continuously refined to address the growing demands of high-performance computing applications. The innovative architecture of this core allows for seamless execution of complex algorithms while achieving superior speed and efficiency. This design is crucial for applications that require fast data processing and real-time computational capabilities. By integrating advanced power management techniques, the RISC-V Core IP ensures energy efficiency without sacrificing performance, making it suitable for a wide range of electronic devices. Anticipating future computing needs, AheadComputing's RISC-V Core IP incorporates state-of-the-art features that support scalability and adaptability. These features ensure that the IP remains relevant as technology evolves, providing a solid foundation for developing next-generation computing solutions. Overall, it embodies AheadComputing’s commitment to innovation and performance excellence.
The RISC-V CPU IP N Class is part of a comprehensive lineup offered by Nuclei, optimized for microcontroller applications. This 32-bit architecture is ideal for AIoT solutions, allowing seamless integration into innovative low-power and high-efficiency projects. As a highly configurable IP, it supports extensions in security and physical safety measures, catering to applications that demand reliability and adaptability. With a focus on configurability, the N Class can be tailored for specific system requirements by selecting only the necessary features, ensuring optimized performance and resource utilization. Designed with robust and readable Verilog coding, it facilitates effective debugging and performance, power, and area (PPA) optimization. The IP also supports Trust Execution Environment (TEE) for enhanced security, catering to a variety of IoT and embedded applications. This class offers efficient scalability, supporting several RISC-V extensions like B, K, P, and V, while also allowing for user-defined instruction expansion. Committed to delivering a highly adaptable processor solution, the RISC-V CPU IP N Class is essential for developers aiming to implement secure and flexible embedded systems.
NeuroMosAIc Studio is a comprehensive software platform designed to maximize AI processor utilization through intuitive model conversion, mapping, simulation, and profiling. This advanced software suite supports Edge AI models by optimizing them for specific application needs. It offers precision analysis, network compression, and quantization tools to streamline the process of deploying AI models across diverse hardware setups. The platform is notably adept at integrating multiple AI functions and facilitating edge training processes. With tools like the NMP Compiler and Simulator, it allows developers to optimize functions at different stages, from quantization to training. The Studio's versatility is crucial for developers seeking to enhance AI solutions through customized model adjustments and optimization, ensuring high performance across AI systems. NeuroMosAIc Studio is particularly valuable for its edge training support and comprehensive optimization capabilities, paving the way for efficient AI deployment in various sectors. It offers a robust toolkit for AI model developers aiming to extract the maximum performance from hardware in dynamic environments.
The Y180 is a streamlined microprocessor featuring around 8K gates, specifically designed as a clone of the Zilog Z180 CPU. Tailored for applications requiring compact size and efficient performance, this CPU-only design is a suitable replacement for legacy systems needing updates with reliable components. As a lightweight processor, the Y180 supports fundamental computational tasks while maintaining compatibility with existing infrastructure designed for Z180 systems. Its straightforward design facilitates easy integration, making it desirable for projects necessitating simplicity and lower power usage. Given its specialized purpose, the Y180 serves niche markets where updating older technology cost-effectively without compromising performance is a priority. It leverages Systemyde's depth of microprocessor design expertise to deliver practicality and adaptability.
The SCR6 stands out with a high-performance 12-stage dual-issue out-of-order pipeline coupled with an advanced FPU. As a microcontroller core, it boasts excellent computational capabilities while maintaining efficient power consumption. This attribute makes it highly suitable for deeply embedded applications that demand a fine balance between performance and energy efficiency. Its architecture is particularly favored in sectors such as sensor fusion, control systems, and network devices. The SCR6 is emblematic of Syntacore's engineering prowess, integrating high-level functionalities into compact design footprints.
The Veyron V1 CPU from Ventana Micro Systems is an industry-leading processor designed to deliver unparalleled performance for data-intensive applications. This RISC-V based CPU is crafted to meet the needs of modern data centers and enterprises, offering a sophisticated balance of power efficiency and computational capabilities. The Veyron V1 is engineered to handle complex workloads with its advanced architecture that competes favorably against current industry standards. Incorporating the latest innovations in chiplet technology, the Veyron V1 boasts exceptional scalability, allowing it to seamlessly integrate into diverse computing environments. Whether employed in a high-performance cloud server or an enterprise data center, this CPU is optimized to provide a consistent, robust performance across various applications. Its architecture supports scalable, modular designs, making it suitable for custom SoC implementations, thereby enabling faster time-to-market for new products. The Veyron V1’s compatibility with RISC-V open standards ensures versatility and adaptability, providing enterprises the freedom to innovate without the constraints of proprietary technologies. It includes support for essential system IP and interfaces, facilitating easy integration across different technology platforms. With a focus on extensible instruction sets, the Veyron V1 allows customized performance optimizations tailored to specific user needs, making it an essential tool in the arsenal of modern computing solutions.
RapidGPT is PrimisAI's flagship product, a cutting-edge generative AI-based Electronic Design Automation (EDA) tool designed to streamline and revolutionize hardware design. By employing an intuitive natural language interface, RapidGPT enhances productivity for hardware designers, allowing them to communicate their ideas effortlessly in Verilog code. This tool not only accelerates the entire design process, guiding engineers from conceptualization to the final bitstream or GDSII stage, but also brings third-party IP integration capabilities to the table. RapidGPT empowers users by offering features like AutoReview, an AI-based HDL auditor, and AutoComment, which generates intelligent comments for HDL files. This enriches the documentation process and ensures clarity in design communication. The tool further personalizes user experiences by customizing AI-powered project documentation with AutoDoc, building on the unique design practices and methodologies of each engineer. PrimisAI's RapidGPT isn't just an incremental improvement but a monumental leap in AI-driven EDA technology, tailored to address both individual designers and larger companies' needs. Its extensive feature set, combined with options for tailored enterprise solutions like on-premise deployments and specialized support, positions RapidGPT as a versatile ally in hardware innovation.
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