All IPs > Graphic & Peripheral > GPU
Graphics Processing Units (GPUs) have revolutionized the way we interact with digital content, making it more immersive and visually engaging. At the core of modern graphics technology lies GPU semiconductor IPs, which are integral to delivering outstanding visual performance across a wide array of devices. Whether it’s for rendering the latest video game graphics, enhancing multimedia playback, or powering complex computational tasks, these semiconductor IPs play a crucial role.
GPU semiconductor IPs are designed to efficiently handle a myriad of operations, predominantly focusing on parallel processing. This capability allows GPUs to process multiple tasks simultaneously, making them ideal for graphics rendering, high-definition video playback, and complex simulations. This category includes essential components like shaders, compute engines, and video encoders, which work in harmony to deliver seamless graphics experience.
Products within the GPU semiconductor IP category serve a diverse range of industries. In consumer electronics, GPUs are deployed in smartphones and tablets to enhance user interfaces and enable applications like augmented reality. In high-performance computing, they are an essential part of servers and workstations for tasks such as artificial intelligence, machine learning, and big data analytics. Furthermore, the gaming industry benefits from these semiconductor IPs by providing photorealistic graphics and smooth gameplay.
Selecting the right GPU semiconductor IP can significantly impact the performance and efficiency of the final product. With the rapid advancement of display technologies and the increasing demand for richer visual content, developers and manufacturers seek the most innovative and adaptable GPU IP solutions to remain competitive. By incorporating cutting-edge semiconductor IPs, they can deliver the next generation of visually stunning and energy-efficient products.
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.
The second-generation Akida platform builds upon the foundation of its predecessor with enhanced computational capabilities and increased flexibility for a broader range of AI and machine learning applications. This version supports 8-bit weights and activations in addition to the flexible 4- and 1-bit operations, making it a versatile solution for high-performance AI tasks. Akida 2 introduces support for programmable activation functions and skip connections, further enhancing the efficiency of neural network operations. These capabilities are particularly advantageous for implementing sophisticated machine learning models that require complex, interconnected processing layers. The platform also features support for Spatio-Temporal and Temporal Event-Based Neural Networks, advancing its application in real-time, on-device AI scenarios. Built as a silicon-proven, fully digital neuromorphic solution, Akida 2 is designed to integrate seamlessly with various microcontrollers and application processors. Its highly configurable architecture offers post-silicon flexibility, making it an ideal choice for developers looking to tailor AI processing to specific application needs. Whether for low-latency video processing, real-time sensor data analysis, or interactive voice recognition, Akida 2 provides a robust platform for next-generation AI developments.
The Akida IP is a groundbreaking neural processor designed to emulate the cognitive functions of the human brain within a compact and energy-efficient architecture. This processor is specifically built for edge computing applications, providing real-time AI processing for vision, audio, and sensor fusion tasks. The scalable neural fabric, ranging from 1 to 128 nodes, features on-chip learning capabilities, allowing devices to adapt and learn from new data with minimal external inputs, enhancing privacy and security by keeping data processing localized. Akida's unique design supports 4-, 2-, and 1-bit weight and activation operations, maximizing computational efficiency while minimizing power consumption. This flexibility in configuration, combined with a fully digital neuromorphic implementation, ensures a cost-effective and predictable design process. Akida is also equipped with event-based acceleration, drastically reducing the demands on the host CPU by facilitating efficient data handling and processing directly within the sensor network. Additionally, Akida's on-chip learning supports incremental learning techniques like one-shot and few-shot learning, making it ideal for applications that require quick adaptation to new data. These features collectively support a broad spectrum of intelligent computing tasks, including object detection and signal processing, all performed at the edge, thus eliminating the need for constant cloud connectivity.
The AI Camera Module from Altek is a versatile, high-performance component designed to meet the increasing demand for smart vision solutions. This module features a rich integration of imaging lens design and combines both hardware and software capacities to create a seamless operational experience. Its design is reinforced by Altek's deep collaboration with leading global brands, ensuring a top-tier product capable of handling diverse market requirements. Equipped to cater to AI and IoT interplays, the module delivers outstanding capabilities that align with the expectations for high-resolution imaging, making it suitable for edge computing applications. The AI Camera Module ensures that end-user diversity is meaningfully addressed, offering customization in device functionality which supports advanced processing requirements such as 2K and 4K video quality. This module showcases Altek's prowess in providing comprehensive, all-in-one camera solutions which leverage sophisticated imaging and rapid processing to handle challenging conditions and demands. The AI Camera's technical blueprint supports complex AI algorithms, enhancing not just image quality but also the device's interactive capacity through facial recognition and image tracking technology.
Quadric's Chimera GPNPU is an adaptable processor core designed to respond efficiently to the demand for AI-driven computations across multiple application domains. Offering up to 864 TOPS, this licensable core seamlessly integrates into system-on-chip designs needing robust inference performance. By maintaining compatibility with all forms of AI models, including cutting-edge large language models and vision transformers, it ensures long-term viability and adaptability to emerging AI methodologies. Unlike conventional architectures, the Chimera GPNPU excels by permitting complete workload management within a singular execution environment, which is vital in avoiding the cumbersome and resource-intensive partitioning of tasks seen in heterogeneous processor setups. By facilitating a unified execution of matrix, vector, and control code, the Chimera platform elevates software development ease, and substantially improves code maintainability and debugging processes. In addition to high adaptability, the Chimera GPNPU capitalizes on Quadric's proprietary Compiler infrastructure, which allows developers to transition rapidly from model conception to execution. It transforms AI workflows by optimizing memory utilization and minimizing power expenditure through smart data storage strategies. As AI models grow increasingly complex, the Chimera GPNPU stands out for its foresight and capability to unify AI and DSP tasks under one adaptable and programmable platform.
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.
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 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 PDM-to-PCM Converter from Archband Labs leads in transforming pulse density modulation signals into pulse code modulation signals. This converter is essential in applications where high fidelity of audio signal processing is vital, including digital audio systems and communication devices. Archband’s solution ensures accurate conversion, preserving the integrity and clarity of the original audio. This converter is crafted to seamlessly integrate with a wide array of systems, offering flexibility and ease-of-use in various configurations. Its robust design supports a wide range of input frequencies, making it adaptable to different signal environments. The PDM-to-PCM Converter also excels in minimizing latency and reducing overhead processing times. It’s engineered for environments where precision and sound quality are paramount, ensuring that audio signals remain crisp and undistorted during conversion processes.
The GH310 offers high-performance 2D sprite graphics capabilities with an emphasis on pixel throughput and minimal gate count. This makes it an excellent choice for applications that require rapid sprite rendering and high pixel density, such as user interfaces and gaming devices. Its optimized architecture supports efficient sprite operations, making it a versatile choice for embedded systems.
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.
aiSim 5 is at the forefront of automotive simulation, providing a comprehensive environment for the validation and verification of ADAS and AD systems. This innovative simulator integrates AI and physics-based digital twin technology, creating an adaptable and realistic testing ground that accommodates diverse and challenging environmental scenarios. It leverages advanced sensor simulation capabilities to reproduce high fidelity data critical for testing and development. The simulator's architecture is designed for modularity, allowing seamless integration with existing systems through C++ and Python APIs. This facilitates a wide range of testing scenarios while ensuring compliance with ISO 26262 ASIL-D standards, which is a critical requirement for automotive industry trust. aiSim 5 offers developers significant improvements in testing efficiency, allowing for runtime performance adjustments with deterministic outcomes. Some key features of aiSim 5 include the ability to simulate varied weather conditions with real-time adaptable environments, a substantial library of 3D assets, and built-in domain randomization features through aiFab for synthetic data generation. Additionally, its innovative rendering engine, aiSim AIR, enhances simulation realism while optimizing computational resources. This tool serves as an ideal solution for companies looking to push the boundaries of ADAS and AD testing and deployment.
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 RayCore MC is a revolutionary real-time path and ray-tracing GPU designed to enhance rendering with minimal power consumption. This GPU IP is tailored for real-time applications, offering a rich graphical experience without compromising on speed or efficiency. By utilizing advanced ray-tracing capabilities, RayCore MC provides stunning visual effects and lifelike animations, setting a high standard for quality in digital graphics. Engineered for scalability and performance, RayCore MC stands out in the crowded field of GPU technologies by delivering seamless, low-latency graphics. It is particularly suited for applications in gaming, virtual reality, and the burgeoning metaverse, where realistic rendering is paramount. The architecture supports efficient data management, ensuring that even the most complex visual tasks are handled with ease. RayCore MC's architecture supports a wide array of applications beyond entertainment, making it a vital tool in areas such as autonomous vehicles and data-driven industries. Its blend of power efficiency and graphical prowess ensures that developers can rely on RayCore MC for cutting-edge, resource-light graphic solutions.
The GV380 is a 2D vector graphics GPU optimized for low CPU load and enhanced pixel processing. It conforms to the OpenVG 1.1 standard, making it ideal for applications requiring high-quality vector graphics rendering. This IP enables efficient graphic processing for embedded systems, ensuring that even resource-limited environments can enjoy sophisticated graphical interfaces.
GSHARK is part of the TAKUMI line of GPU IPs known for its compact size and ability to richly enhance display graphics in embedded systems. Developed for devices like digital cameras, this IP has demonstrated an extensive record of reliability with over a hundred million units shipped. The proprietary architecture offers exceptional performance with low power usage and minimal CPU demand, enabling high-quality graphics rendering typical of PCs and smartphones.
The ISPido on VIP Board solution is designed for the Lattice Semiconductor's VIP (Video Interface Platform) board, offering real-time, high-quality image processing. It supports automatic configuration selection at boot, ensuring a balanced output or alternatively, it provides a menu interface for manual adjustments. Key features include input from two Sony IMX 214 sensors and output in HDMI format with 1920 x 1080p resolution using YCrCb 4:2:2 color space. This system supports run-time calibration via a serial port, allowing users to customize gamma tables, convolution filters, and other settings to match specific application needs. The innovative setup facilitates streamlined image processing for efficient deployment across applications requiring high-definition video processing.
The TW330 distortion correction IP is tailored for use in applications requiring dynamic image transformations, such as VR headsets and automotive HUDs. Utilizing GPU-powered technologies, it offers real-time coordinate transformations, distortion corrections, and other modifications up to a resolution of 16K x 16K in both RGB and YUV formats. This IP is crucial for enhancing visual accuracy and display adaptability across varied markets.
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.
ELFIS2 is a sophisticated visible light imaging ASIC designed to deliver superior performance under the extreme conditions typical in space. Known for its radiation hard design, it withstands both total ionizing dose (TID) and single event effects (SEU/SEL), ensuring dependable operation even when exposed to high radiation levels in outer space. This image sensor features HDR (High Dynamic Range) capabilities, which allow it to capture clear, contrast-rich images in environments with varying light intensities, without motion artifacts thanks to its Motion Artifact Free (MAF) technology. Additionally, its global shutter ensures that every pixel is exposed simultaneously, preventing distortion in high-speed imaging applications. Utilizing back-side illumination (BSI), the ELFIS2 achieves superior sensitivity and quantum efficiency, making it an ideal choice for challenging lighting conditions. This combination of advanced features makes the ELFIS2 particularly well-suited for scientific and space-based imaging applications requiring exacting standards.
The Universal DSP Library is designed to simplify digital signal processing tasks. It ensures efficient and highly effective operations by offering a comprehensive suite of algorithms and functions tailored for various DSP applications. The library is engineered for optimal performance and can be easily integrated into FPGA-based designs, making it a versatile tool for any digital signal processing needs. The comprehensive nature of the Universal DSP Library simplifies the development of complex signal processing applications. It includes support for key processing techniques and can significantly reduce the time required to implement and test DSP functionalities. By leveraging this library, developers can achieve high efficiency and performance in their digital signal processing tasks, thereby optimizing overall system resources. Moreover, the DSP library is designed to be compatible with a wide range of FPGAs, providing a flexible and scalable solution. This makes it an ideal choice for developers seeking to create innovative solutions across various applications, ensuring that their designs can handle demanding signal processing requirements effectively.
The Hyperspectral Imaging System by Imec offers enhanced imaging capabilities, chiefly used in space exploration and Earth observation for on-chip spectral imaging. This technology allows for efficient data capture across numerous spectral bands, giving a comprehensive view that is critical for scientific and commercial applications. With its compact and robust design, the system delivers high-resolution imaging while maintaining the portability needed for field applications. This advanced imaging system leverages on-chip technology that combines innovative hardware and software solutions, contributing to its high efficiency and accuracy in capturing detailed spectral information. The hyperspectral imaging achieved allows for assembling vast datasets rapidly, which is valuable in various applications ranging from environmental monitoring to agricultural assessments. Incorporating lead-free quantum dot photodiodes, the system ensures environmentally friendly operation and precise spectral capture. The modular design of the system facilitates easy integration into existing platforms, expanding its usability across different sectors requiring advanced imaging capabilities.
Trifecta-GPU design offers an exceptional computational power utilizing the NVIDIA RTX A2000 embedded GPU. With a focus on modular test and measurement, and electronic warfare markets, this GPU is capable of delivering 8.3 FP32 TFLOPS compute performance. It is tailored for advanced signal processing and machine learning, making it indispensable for modern, software-defined signal processing applications. This GPU is a part of the COTS PXIe/CPCIe modular family, known for its flexibility and ease of use. The NVIDIA GPU integration means users can expect robust performance for AI inference applications, facilitating quick deployment in various scenarios requiring advanced data processing. Incorporating the latest in graphical performance, the Trifecta-GPU supports a broad range of applications, from high-end computing tasks to graphics-intensive processes. It is particularly beneficial for those needing a reliable and powerful GPU for modular T&M and EW projects.
ZIA Image Signal Processing technology provides state-of-the-art solutions for optimizing image quality and enhancing vision-based systems. This technology is integral to applications requiring precise image analysis, such as surveillance cameras and automotive safety systems. It supports various image processing tasks, including de-noising, color correction, and sharpness enhancement, delivering superior visual output even under challenging conditions. ZIA's adaptable architecture supports integration into a range of devices, ensuring broad applicability across multiple sectors.
The DB9000AXI Display Controller is engineered to interface seamlessly with Frame Buffer Memory via the AMBA AXI protocol, offering support for a wide range of display resolutions from basic QVGA up to advanced 8K panels. Besides baseline display capabilities, advanced versions feature enhanced processing attributes such as multiple overlay windows, hardware cursor functions, and high dynamic range (HDR) imaging. With features like Color Space Conversion and programmable resolution settings, this IP core meets diverse display demands across numerous applications.
The logiCVC-ML is an advanced display controller that supports resolutions up to 2048x2048, tailored for TFT LCD displays. Optimized for AMD's Zynq 7000 AP SoC and FPGAs, this IP core is equipped with software drivers compatible with Linux, Android, and Windows Embedded Compact 7. This versatility ensures the logiCVC-ML can be implemented across a wide array of applications demanding high-resolution display capabilities. With a strong focus on integrating with existing systems, the logiCVC-ML offers multilayer video capabilities, making it ideal for complex display needs in various industries. Its support extends beyond simple display output, accommodating sophisticated graphics operations that enhance user experiences across diverse platforms. The IP core's efficient use of resources ensures minimal impact on overall system performance, allowing developers to allocate resources to other critical functions. The logiCVC-ML thus represents a blend of high performance and resource efficiency, making it a valuable component in any high-resolution display application.
Featuring a shader architecture, the GSV3100 supports OpenGL ES 2.0 and 1.1, as well as OpenVG 1.1, for powerful 3D graphical processing. This IP is ideal for complex rendering tasks in applications requiring sophisticated graphics and animation. It efficiently integrates hardware processing pipelines to handle demanding graphics loads without compromising on performance or energy efficiency.
Combining 2D vector and 3D rendering capabilities, the GV580 is designed for high performance and low power consumption. It supports both OpenVG 1.1 and OpenGLES 1.1 standards, bringing together advanced rendering features suitable for a wide range of graphical applications. This GPU IP is perfect for enhancing device displays with dynamic graphics without overloading the CPU.
The Origin E1 is a streamlined neural processing unit designed specifically for always-on applications in personal electronics and smart devices such as smartphones and security systems. This processor focuses on delivering highly efficient AI performance, achieving around 18 TOPS per watt. With its low power requirements, the E1 is ideally suited for tasks demanding continuous data sampling, such as camera operations in smart surveillance systems where it runs on less than 20mW of power. Its packet-based architecture ensures efficient resource utilization, maintaining high performance with lower power and area consumption. The E1's adaptability is enhanced through customizable options, allowing it to meet specific PPA requirements effectively, making it the go-to choice for applications seeking to improve user privacy and experience by minimizing external memory use.
The Cyclone V FPGA with Integrated PQC Processor by ResQuant is a specialized product that comes pre-equipped with a comprehensive NIST PQC cryptography suite. This FPGA is tailored for applications requiring a robust proof-of-concept for quantum-safe implementations. It ensures seamless integration into existing systems, providing a practical platform for testing and deployment in quantum-secure environments. This product is available at a competitive price and represents an ideal starting point for entities looking to explore and adopt quantum-resilient technologies. Its configuration allows for straightforward implementation in diverse hardware infrastructures while offering a reliable option for organizations aiming to stay ahead in the evolving cyber security landscape. By incorporating the latest in cryptographic standards and ensuring vendor independence, the Cyclone V FPGA with Integrated PQC Processor by ResQuant effectively bridges current hardware technologies and future-proof security needs. It supports industry-wide applications, from IoT and ICT to automotive and military sectors, underscoring ResQuant's versatility in hardware security solutions.
Designed for smaller scale transformations, the TW220/240 IP handles tasks such as distortion correction, scaling, and rotation for images up to 4K x 4K resolution. It supports RGB and YUV formats, offering vital capabilities for applications needing precision in image processing at lower resolutions. Its applications span from consumer digital products to professional imaging equipment.
Novatek's power management controllers are designed to efficiently regulate the power requirements of digital devices. By optimizing power distribution and consumption, these controllers ensure devices operate with heightened efficiency and performance.\n\nThe robust design of Novatek’s power management controllers emphasizes reliability and longevity, crucial for maintaining device integrity under varied conditions. They are pivotal in balancing energy efficiency with processing demands, allowing digital devices to perform optimally without excessive power loss.\n\nThese controllers are integral components in enhancing the sustainability of electronic devices, resulting in extended battery life and reduced power costs. Novatek's focus on dynamic power solutions reflects their dedication to evolving with technological advancements and environmentally conscious practices.
The Tentiva Video FMC (FPGA Mezzanine Card) by Parretto B.V. is designed to enhance FPGA capability with advanced video functionalities. This module integrates effortlessly into various FPGA platforms, providing users with extended features for video input/output processing. Whether it's for development or field applications, Tentiva promises reliability and superior performance. Functionality-wise, this mezzanine card is adept at handling high-definition video streams, making it ideal for broadcast and media applications. It supports multiple video standards, ensuring that interfacing with different video input/output sources is seamless. The Tentiva Video FMC is thus tailored for developers looking to expand their FPGA's video processing capabilities without compromising on performance metrics. The design of Tentiva Video FMC aligns with industry standards, ensuring that developers leverage a scalable and maintainable platform. By supporting plug-and-play with numerous FPGA development boards, it eliminates the hassle of compatibility issues, providing a straightforward path to enhanced video applications. Available accessories and complementary software further streamlining its integration into existing systems, affording users the flexibility to tailor solutions to specific project requirements.
Crest Factor Reduction (CFR) is a critical technology in managing the efficiency of power amplifiers in communication systems. FlexCFR offers a standards-independent solution that can be compiled across any ASIC or FPGA/SoC platform, thanks to its flexible architecture. This feature makes it an ideal choice for projects that require versatility in deployment. The primary objective of CFR technology is to restrict the signal envelope, thereby allowing amplifiers to operate closer to saturation. This leads to improved power efficiency, minimizing energy loss during signal transmission. By reducing the peak-to-average power ratio (PAPR), FlexCFR ensures that systems achieve greater stability and performance. FlexCFR is particularly adept at supporting complex communication systems because of its agnostic approach to communication standards. It integrates seamlessly into existing systems, offering an immediate uplift in efficiency and performance without significant alterations to existing infrastructure. The configurable nature of the technology means it can cater to diverse project requirements across various sectors, enhancing its appeal in the market.
The MVUM1000 stands out as a compact, advanced linear ultrasound array designed for medical imaging. Featuring 256 elements, it integrates capacitive micromachined ultrasound transducers (CMUT), enhancing both power efficiency and sensitivity. This integration aids in high-quality medical diagnostics and imaging applications.\n\nOffered with a range of adaptive imaging modes, such as Doppler, these arrays facilitate multifaceted ultrasound applications, from portable devices to comprehensive cart-based systems. They provide exceptional lateral and axial imaging capabilities, meeting rigorous clinical needs.\n\nThe sensor array is also characterized by a high degree of integration with electronics, enabling seamless embedding into various platforms. Its flexibility in operation and customizable features allow for expansive usability in point-of-care situations, ensuring healthcare professionals can deliver precise diagnostics efficiently.
Engineered for top-tier AI applications, the Origin E8 excels in delivering high-caliber neural processing for industries spanning from automotive solutions to complex data center implementations. The E8's design supports singular core performance up to 128 TOPS, while its adaptive architecture allows easy multi-core scalability to exceed PetaOps. This architecture eradicates common performance bottlenecks associated with tiling, delivering robust throughput without unnecessary power or area compromises. With an impressive suite of features, the E8 facilitates remarkable computational capacity, ensuring that even the most intricate AI networks function smoothly. This high-performance capability, combined with its relatively low power usage, positions the E8 as a leader in AI processing technologies where high efficiency and reliability are imperative.
The Prodigy FPGA-Based Emulator by Tachyum offers a comprehensive platform for product evaluation, software development, and performance testing. This emulator is integral for verifying Prodigy's capabilities and compatibility with existing workflows. The system comes equipped with multiple FPGA and IO boards connected in a rack, facilitating the emulation of numerous processor cores. It includes both vector and matrix fixed and floating-point processing units, delivering a high degree of flexibility and functionality for those testing AI and HPC applications. This emulator provides a practical testing ground that replicates real-world scenarios, allowing users to undertake detailed performance assessments and compatibility testing. Emulation systems are essential for transitioning projects from development to production stages. The setup also provides a versatile environment in which developers can debug and optimize code, ensuring that applications leverage the full potential of Tachyum's Prodigy architecture. Although orders for Prodigy FPGA prototypes concluded in mid-2023, Tachyum offers private testing opportunities within its facilities, enabling new customers and partners to utilize this advanced emulation system. Shared usage dictates that these systems aren't suitable for handling classified or regulatory-bound data, but they remain a valuable resource for thorough, quality-controlled development processes.
Korusys' Video Wall Display Management System is a versatile solution designed to enhance visual presentations across multiple monitors. It accommodates input and output through HDMI or DisplayPort, and offers up to four distinct video outputs. With support for resolutions up to 3840x2400 for input and 1920x1200 for output at 60Hz, this system features configurable bezel compensation and advanced image processing capabilities. Users benefit from clone and stretch operational modes, in addition to a comprehensive software API for detailed configuration and control.
The ZIA Stereo Vision technology is crafted for applications that require depth perception and accurate distance measuring. Utilizing stereo vision algorithms, it excels in generating 3D data from dual-camera setups, which is crucial for robots, drones, and autonomous vehicles. By employing advanced disparity mapping techniques, this technology ensures high fidelity in spatial analysis, making it particularly effective in dynamic environments. Its integration optimizes tasks that need real-time 3D depth information, aiding navigation and object placement.
The DXT GPU is specifically designed to deliver robust graphics capabilities on mobile devices, providing the perfect foundation for applications that demand high performance alongside power efficiency. Leveraging advanced ray tracing capabilities, it brings desktop-level rendering quality to portable devices, enhancing user experiences in gaming, AR, and VR settings without compromising battery life.
The SMS Fully Integrated Gigabit Ethernet & Fibre Channel Transceiver Core is an advanced solution designed for high-speed data transmission applications. This core incorporates all necessary high-speed serial link blocks, such as high-speed drivers and PLL architectures, which enable precise clock recovery and signal synchronization.\n\nThe transceiver core is compliant with IEEE 802.3z for Gigabit Ethernet and is also compatible with Fibre Channel standards, ensuring robust performance across a variety of network settings. It features an inherently full-duplex operation, providing simultaneous bidirectional data paths through its 10-bit controller interface. This enhances communication efficiency and overall data throughput.\n\nParticularly suited for networks requiring low jitter and high-speed operation, this transceiver includes proprietary technology for superior jitter performance and noise immunity. Its implementation in low-cost, low-power CMOS further provides a cost-effective and energy-efficient solution for high-speed networking requirements.
The Origin E2 NPU cores offer a balanced solution for AI inference by optimizing for both power and area without compromising performance. These cores are expertly crafted to save system power in devices such as smartphones and edge nodes. Their design supports a wide variety of networks, including RNNs and CNNs, catering to the dynamic demands of consumer and industrial applications. With customizable performance ranging from 1 to 20 TOPS, they are adept at handling various AI-driven tasks while reducing latency. The E2 architecture is ingeniously configured to enable parallel processing, affording high resource utilization that minimizes memory demands and system overhead. This results in a flexible NPU architecture that serves as a reliable backbone for deploying efficient AI models across different platforms.
The Camera ISP for HDR from BTREE enhances image processing capabilities for devices requiring high dynamic range (HDR) imaging. This technology integrates sophisticated algorithms to capture more detail in both bright and dark areas of an image, making it ideal for photography in challenging lighting conditions. Its ability to manage varying light intensities efficiently ensures superior output quality in cameras and other visual capture devices. The IP's functionality facilitates the enhancement of image clarity and depth, crucial for professional photography equipment and advanced consumer electronics. Additionally, the ISP can significantly reduce noise and improve color accuracy, which are pivotal in delivering high-quality visual content. The ISP's design focuses on optimizing power consumption without compromising on performance, making it a favorable choice for mobile devices and other digital imaging applications. Engineers working with the Camera ISP for HDR can expect a versatile tool that integrates seamlessly into existing architectures, providing a robust platform to build superior imaging solutions. The IPS's excellence is underscored by its adoption in various high-end imaging applications, setting industry benchmarks for image processing capabilities.
Catalyst-GPU represents a cost-effective and powerful graphics solution for the PXIe/CPCIe platform. Equipped with NVIDIA Quadro T600 and T1000 GPUs, this module excels in providing enhanced graphics and computing acceleration required by modern signal processing and AI applications. One of the standout features of Catalyst-GPU is its ease of programming and high compute capabilities. It meets the requirements of both Modular Test and Measurement (T&M) and Electronic Warfare (EW) sectors, offering significant performance improvements at reduced operational costs. Built as a part of the Catalyst family, this module allows access to advanced graphics capabilities of NVIDIA technology, paving the way for efficient data processing and accelerated computational tasks. The Catalyst-GPU sets itself apart as a robust choice for users needing reliable high-performance graphics within a modular system framework.
The M3000 Graphics Processor is engineered to deliver exceptional 3D rendering capabilities, supporting intricate graphics applications. It aligns with the latest architectural standards to ensure high performance in gaming and simulation environments, offering dynamic visual processing. This processor leverages parallel processing core designs to manage heavy computational loads efficiently, ensuring smooth and detailed graphic outputs. The M3000 is ideal for integration in devices that demand high frame rates and superior graphics quality.
Badge 2D Graphics offers an advanced solution for 2D graphical displays, suitable for systems requiring comprehensive graphical representations. These graphics are developed for seamless integration into platforms such as Xilinx, showcasing exceptional versatility and reliability with more than 5 million units shipped. The product is highly adaptable, enabling varied graphical tasks and delivering consistent performance across applications. This graphics solution is engineered to support a multitude of functionalities, including video display, textual representation, and multimedia interfacing. It stands out in delivering high-performance visual processing, making it a preferred choice for systems where graphical display quality is essential. Designed with the flexibility to adapt to a variety of multimedia needs, Badge 2D Graphics ensures that visual representation in platforms is both vivid and contextually relevant. The robustness of this solution allows it to integrate smoothly with diverse operational architectures, enhancing the visual display capabilities of embedded systems and consumer products.
The v-MP6000UDX Visual Processing Unit is a powerhouse of the Videantis portfolio, offering extensive capabilities for handling deep learning, computer vision, and video coding across a singular architecture. This unit brings prowess in processing tasks that require real-time performance and energy efficiency, making it pivotal for next-generation intelligent devices. Designed to support multiple computational requirements, the v-MP6000UDX processes deep learning models efficiently, acting as a unified platform that negates the need for disparate hardware accelerators. This processor's architecture is optimized for running complete neural networks swiftly and at low power, facilitating applications that demand rapid computing power with minimal energy constraints. Boasting a sophisticated memory hierarchy and high-bandwidth interfaces, the processor ensures efficient data handling and processing. Its enhanced memory architecture paired with a network-on-chip design fosters an environment where high-performance computations are achieved seamlessly. This makes the v-MP6000UDX suitable for deployment in complex systems such as autonomous vehicles, mobile technology, and industrial automation, where proficient data processing and precision are critical. Incorporating the latest design principles, the v-MP6000UDX unit integrates seamlessly into devices that require extensive video processing capabilities, benefiting from a vast library of codecs and support for emerging standards in video compression. This processing unit is indispensable for businesses aiming to enhance their product offerings with cutting-edge technology.
The Wireless Baseband IP is engineered for ultra-low power consumption and minimal code size, making it ideal for IoT devices. It includes the Baseband Processor Hardware IP and comprehensive firmware for the Link Layer or MAC, ensuring seamless integration and enhanced security. Highly power and area-optimized, this IP is suitable for smart homes and connected audio systems, supporting both rich gateway and beacon applications. With its full compliance with standard protocols, it is a robust solution for efficient wireless connectivity in compact IoT sensors.
The iCEVision platform is built around enabling designers and developers to exploit the iCE40 UltraPlus FPGA's connectivity features. This board provides rapid prototyping and testing environments through exposed I/O interfaces compatible with popular camera modules such as ArduCam CSI and PMOD. Programming can be handled via the Lattice Diamond Programmer, which allows users to modify the on-board SPI flash with custom code. Moreover, iCEVision supports seamless multi-board connection through ArduCam connectors, offering a versatile tool for both learning and professional development phases in FPGA design and implementation.
The Origin E6 provides a formidable edge in AI processing demands for mobile and AR/VR applications, boasting performance specifications between 16 to 32 TOPS. Tailored to accommodate the latest AI models, the E6 benefits from Expedera's distinct packet-based architecture. This cutting-edge design simplifies parallel processing, which enhances efficiency while concurrently diminishing power and resource consumption. As an NPU, it supports an extensive array of video, audio, and text-based networks, thus delivering consistent performance even under complex specifications. The E6's high utilization rates minimize wastage and amplify throughput, certifying its position as an optimal choice for forward-thinking gadgets requiring potent due to its scalable and adaptable architecture.
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