All IPs > Processor > Wireless Processor
In the rapidly evolving world of connectivity, wireless processor semiconductor IPs have become essential components for a wide array of modern electronic devices. These IPs serve as the backbone for devices requiring communication capabilities without physical connections. Typical applications include smartphones, wearables, IoT devices, and advanced embedded systems, where seamless wireless communication enhances user experience and functionality.
Wireless processor semiconductor IPs integrate multiple functionalities such as RF transceivers, baseband processors, and digital signal processing capabilities. This integration allows for efficient handling of various wireless communication standards like Bluetooth, Wi-Fi, LTE, and emerging 5G technologies. By incorporating these IPs, designers can develop compact, energy-efficient devices that maintain high-performance levels, crucial for meeting the demands of today’s connected world.
The design and delivery of wireless processor semiconductor IPs require a high degree of technical expertise and precision engineering. Companies often seek these IPs from specialized providers to ensure compliance with international standards and to expedite time-to-market. These IPs provide a flexible foundation upon which companies can build specialized products tailored to unique operational requirements, whether for consumer electronics, automotive communication systems, or industrial IoT solutions.
Furthermore, advancements in wireless processor semiconductor IPs continue to foster innovation across industries. With the increasing demand for smart devices and interconnected systems, these IPs will remain pivotal in driving forward new applications and services. As the global push toward more efficient and ubiquitous wireless communication continues, wireless processor semiconductor IPs are set to play a central role in shaping the future landscape of digital connectivity and interaction.
The 1G to 224G SerDes is a versatile serializer/deserializer technology designed to facilitate high-speed data transfers across various interface standards. It caters to stringent speed requirements by supporting a wide range of data rates and signaling schemes, allowing efficient integration into comprehensive communication systems. This SerDes technology excels in delivering reliable, low-latency connections, making it ideal for hyperscale data centers, AI, and 5G networking where fast, efficient data processing is essential. The broad compatibility with numerous industry protocols also ensures seamless interoperability with existing systems. Adapted for scalability, the 1G to 224G SerDes provides design flexibility, encouraging implementation across a variety of demanding environments. Its sophisticated architecture promotes energy efficiency and robust performance, crucial for addressing the ever-growing connectivity demands of modern technology infrastructures.
The xcore.ai platform by XMOS is a versatile, high-performance microcontroller designed for the integration of AI, DSP, and real-time I/O processing. Focusing on bringing intelligence to the edge, this platform facilitates the construction of entire DSP systems using software without the need for multiple discrete chips. Its architecture is optimized for low-latency operation, making it suitable for diverse applications from consumer electronics to industrial automation. This platform offers a robust set of features conducive to sophisticated computational tasks, including support for AI workloads and enhanced control logic. The xcore.ai platform streamlines development processes by providing a cohesive environment that blends DSP capabilities with AI processing, enabling developers to realize complex applications with greater efficiency. By doing so, it reduces the complexity typically associated with chip integration in advanced systems. Designed for flexibility, xcore.ai supports a wide array of applications across various markets. Its ability to handle audio, voice, and general-purpose processing makes it an essential building block for smart consumer devices, industrial control systems, and AI-powered solutions. Coupled with comprehensive software support and development tools, the xcore.ai ensures a seamless integration path for developers aiming to push the boundaries of AI-enabled technologies.
The H.264 FPGA Encoder and CODEC micro footprint cores are a compact and fast solution for video compression, specifically tailored for FPGAs. This licensable IP cores support 1080p60 H.264 Baseline encoding with a single core, offering various configurations such as an H.264 Encoder, CODEC, and I-Frame Only Encoder. These cores are renowned for their small size and rapid processing capabilities, designed to be ITAR compliant for secure applications. Developers can customize these cores to achieve desired pixel depths and resolutions, ensuring adaptability to diverse project needs. With an exceptionally low 1ms latency at 1080p30, these cores are acclaimed as industry-leading in terms of both size and performance. They enhance efficiency by providing fast video processing solutions without compromising quality. The cores are particularly useful in applications demanding high-speed and high-resolution video compression in FPGA implementations. These H.264 cores come with the option for a low-cost evaluation license, providing a seamless entry into advanced video processing tasks. With customizable features, they represent a versatile choice for engineers working on applications involving intensive video encoding and decoding needs.
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 Spiking Neural Processor T1 is designed as a highly efficient microcontroller that integrates neuromorphic intelligence closely with sensors. It employs a unique spiking neural network engine paired with a nimble RISC-V processor core, forming a cohesive unit for advanced data processing. With this setup, the T1 excels in delivering next-gen AI capabilities embedded directly at the sensor, operating within an exceptionally low power consumption range, ideal for battery-dependent and latency-sensitive applications. This processor marks a notable advancement in neuromorphic technology, allowing for real-time pattern recognition with minimal power draw. It supports various interfaces like QSPI, I2C, and UART, fitting into a compact 2.16mm x 3mm package, which facilitates easy integration into diverse electronic devices. Additionally, its architecture is designed to process different neural network models efficiently, from spiking to deep neural networks, providing versatility across applications. The T1 Evaluation Kit furthers this ease of adoption by enabling developers to use the Talamo SDK to create or deploy applications readily. It includes tools for performance profiling and supports numerous common sensors, making it a strong candidate for projects aiming to leverage low-power, intelligent processing capabilities. This innovative chip's ability to manage power efficiency with high-speed pattern processing makes it especially suitable for advanced sensing tasks found in wearables, smart home devices, and more.
The ORC3990 is a groundbreaking LEO Satellite Endpoint SoC engineered for use in the Totum DMSS Network, offering exceptional sensor-to-satellite connectivity. This SoC operates within the ISM band and features advanced RF transceiver technology, power amplifiers, ARM CPUs, and embedded memory. It boasts a superior link budget that facilitates indoor signal coverage. Designed with advanced power management capabilities, the ORC3990 supports over a decade of battery life, significantly reducing maintenance requirements. Its industrial temperature range of -40 to +85 degrees Celsius ensures stable performance in various environmental conditions. The compact design of the ORC3990 fits seamlessly into any orientation, further enhancing its ease of use. The SoC's innovative architecture eliminates the need for additional GNSS chips, achieving precise location fixes within 20 meters. This capability, combined with its global LEO satellite coverage, makes the ORC3990 a highly attractive solution for asset tracking and other IoT applications where traditional terrestrial networks fall short.
The Dynamic Neural Accelerator II (DNA-II) Architecture by EdgeCortix represents a leap in neural network processing capabilities, designed to yield exceptional parallelism and efficiency. It employs a runtime reconfigurable architecture that allows data paths to be reconfigured on-the-fly, maximizing parallelism and minimizing memory bandwidth usage on-chip. The DNA-II core can power AI applications across both convolutional and transformer networks, making it adaptable for a range of edge applications. Its scalable design, beginning from 1K MACs, facilitates flexible integration into SOC environments, while supporting a variety of target applications. It essentially serves as the powerhouse for the SAKURA-II AI Accelerator, enabling high-performance processing in compact form factors. Through the MERA software stack, DNA-II optimizes how network tasks are ordered and resources are allocated, providing precise scheduling and reducing inefficiencies found in other architectures. Additionally, the DNA-II features efficient energy consumption metrics, critical for edge implementations where performance must be balanced with power constraints.
The iCan PicoPop® is a miniaturized system on module (SOM) based on the Xilinx Zynq UltraScale+ Multi-Processor System-on-Chip (MPSoC). This advanced module is designed to handle sophisticated signal processing tasks, making it particularly suited for aeronautic embedded systems that require high-performance video processing capabilities. The module leverages the powerful architecture of the Zynq MPSoC, providing a robust platform for developing cutting-edge avionics and defense solutions. With its compact form factor, the iCan PicoPop® SOM offers unparalleled flexibility and performance, allowing it to seamlessly integrate into various system architectures. The high level of integration offered by the Zynq UltraScale+ MPSoC aids in simplifying the design process while reducing system latency and power consumption, providing a highly efficient solution for demanding applications. Additionally, the iCan PicoPop® supports advanced functionalities through its integration of programmable logic, multi-core processing, and high-speed connectivity options, making it ideal for developing next-generation applications in video processing and other complex avionics functions. Its modular design also allows for easy customization, enabling developers to tailor the system to meet specific performance and functionality needs, ensuring optimal adaptability for intricate aerospace environments. Overall, the iCan PicoPop® demonstrates a remarkable blend of high-performance computing capabilities and adaptable configurations, making it a valuable asset in the development of high-tech avionics solutions designed to withstand rigorous operational demands in aviation and defense.
Palma Ceia's 802.11ah HaLow Transceiver is designed to fulfill the connectivity needs of the Internet of Things, adhering to IEEE's Wi-Fi HaLow standard. The transceiver aims to provide a balance between power efficiency and range, delivering low power consumption while maintaining robust connectivity over extended distances. Equipped with an integrated, balanced direct conversion receiver, the device supports bandwidths of 1 MHz, 2 MHz, and 4 MHz. This allows it to cater to a wide array of applications, from asset tracking to smart meter reading. The transceiver boasts a sophisticated receiver design, capable of processing signals with low noise and minimal latency, making it ideal for real-time, battery-operated devices. Further facilitating integration, the transceiver supports a variety of interfaces, including SPI, JTAG, UART, and I2C. These make the transceiver adaptable to various system architectures, whether as part of a SoC or as a standalone device. Its capabilities are well-suited for sectors requiring reliable, energy-efficient IoT solutions, such as smart homes and industries leveraging wireless sensor networks.
AON1100 marks a significant leap in edge AI processing for voice and sensor operations. Meticulously engineered for energy efficiency, this chip operates on less than 260µW while achieving over 90% accuracy even in low signal-to-noise environments. It is perfect for always-on gadgets demanding constant reliability and precision, especially under challenging conditions.
LightningBlu is a state-of-the-art multi-gigabit connectivity solution for high-speed rail networks, delivering continuous high-speed data transfer between trackside and train systems. This innovative solution works within the mmWave spectrum of 57-71 GHz and is certified for long-term, low-maintenance deployment. It seamlessly integrates with existing trackside networks to provide a stable, high-capacity communication bridge essential for internet access, entertainment, and real-time information services aboard high-speed trains. The LightningBlu system includes robust trackside nodes and compact train-top nodes designed for seamless installation, significantly enhancing operational efficiencies and passenger experience by providing internet speeds superior to traditional mobile broadband services. With aggregate throughputs reaching around 3 Gbps, LightningBlu sets the standard for rail communications by supporting speeds at which data demands are met with ease. Crucially, LightningBlu is a key component in transforming the railway telecommunications landscape, offering upgraded technology that enables uninterrupted and enhanced passenger digital services even in the busiest railways across the UK and USA. Through its advanced mmWave technology, it ensures that the connectivity needs of the modern commuter are met consistently and effectively, paving the way for a new era in transit communication.
The ultra-low-power human body detector from Microdul is engineered to provide efficient, static detection capabilities essential for wearable technology. This detector helps significantly reduce energy consumption in devices when not actively in use. Its advanced design allows it to recognize the presence or absence of a human, making it ideal for applications requiring power-saving features, such as smart devices and IoT equipment. The precise nature of its operation ensures long battery life, thereby enhancing the user experience in battery-dependent gadgets. Moreover, its application in static detection means it can operate seamlessly without requiring constant recalibration or complex interfacing. Its implementation is particularly valuable in the wearables market where minimizing power draw while maintaining functionality is a critical competitive factor. With its ability to integrate smoothly into existing systems, this detector forms an indispensable part of power-efficient device design strategies focused on long-term effectiveness in changing environments. Its versatility extends to various industries, ensuring compatibility with diverse technological ecosystems while emphasizing seamless operation and reliability. As a result, it paves the way for new possibilities in the design of cutting-edge consumer electronics.
The RWM6050 Baseband Modem is an innovative component of Blu Wireless's mmWave technology portfolio, architected to support high-bandwidth, high-capacity data communications. Designed in collaboration with industry leaders Renesas, this modem unit stands out for its efficiency and versatility, effectively marrying physical modem layers with advanced processing capabilities. The RWM6050 modem is instrumental in providing seamless data transmission for access and backhaul networks. Built to accommodate varying channelisation modes, the RWM6050 supports deep levels of customisation for different bandwidth requirements and transmission distances. It handles multi-gigabit throughput, which makes it ideal for expanding connectivity in urban or industrial areas with dense infrastructure requirements. From smart cities to complex transport systems, this baseband modem scales effectively to meet demanding data needs. Equipped with dual modems and integrated mixed-signal front-end capabilities, the RWM6050 offers a flexible solution for evolving communication infrastructures. Its design ensures optimization for real-time digital signal processing, beamforming, and adaptable connectivity management. The RWM6050 is a key enabler in unlocking the full potential of mmWave technology in a variety of settings, furthering connectivity innovations.
OneNav presents the innovative L5-direct GNSS Receiver, a specialized component drawing focus to accuracy and reliability by operating independently of the L1 signal. Leveraging L5 Band signals, this receiver captures and maintains precise location data while ensuring protection against signal jamming. Incorporating a single RF chain, the system reduces redundancy and facilitates optimal antenna placement to enhance device designs in space-restricted environments. This approach critically lowers system costs while delivering robust, reliable location tracking ideal for wearables and IoT applications. The L5-direct receiver integrates seamlessly across multiple satellite constellations like GPS, Galileo, QZSS, and BeiDou, delivering accurate data regardless of environmental constraints. Its refinement in multipath error reduction through machine learning ensures the most precise data acquisition, even in dense urban landscapes. Enhanced with Application Specific Array Processor, the receiver accelerates signal acquisition without sacrificing time or power, ensuring reliable operation wherever used. Additionally, L5-direct GNSS stands out by optimizing power usage, with solutions designed specifically for extended battery life in ultra-low-power devices. Its adaptability allows for integration into diverse systems, serving industries with requirements across different geographies or use cases—from standalone GNSS ASICs to flexible modems and application processors. Featuring silicon-proven capabilities, such as a hot start fix in under one second and open-sky accuracy within 1.5 meters, L5-direct GNSS leads the way for next-generation technology in critical mission deployments.
The eSi-Comms suite is EnSilica's communication IP portfolio, known for its versatile and highly parameterizable offerings that cater to a range of modern air interface standards. This includes OFDM-based MODEM and DFE IPs, designed to accommodate both custom and standards-based designs. This suite provides robust solutions for wireless communications, suitable for applications in 4G, 5G, Wi-Fi, and other wireless technologies. Highly configurable, the eSi-Comms suite includes soft-decision bit-metric generation for a wide range of modulation schemes from BPSK to 1024-QAM. With built-in support for multiple antenna processing, the suite enhances data throughput and extends signal reach. It is also capable of implementing error correction, including Reed-Solomon and Viterbi decoding, ensuring data integrity and optimal system performance. The eSi-Comms IPs are tailored to expedite design timelines and are constructed to handle synchronization, demodulation, and channel coding effectively. This flexibility makes them suitable for various communications use-cases, from wireless sensors and broadcast products to cellular networks.
This high-performance cross-correlator module integrates 128 channels of 1GSps ADCs. Each channel features a VGA front end, optimizing it for synthetic radar receivers and spectrometer systems. It excels in low power consumption, critical in space-limited applications like satellite-based remote sensing or data-intensive spectrometers, making it invaluable in advanced research operations.
The RFicient chip is designed for the Internet of Things (IoT) applications, famously recognized for its ultra-low-power operations. It aims to innovate the IoT landscape by offering a highly efficient receiver technology that significantly reduces power consumption. This chip supports energy harvesting to ensure sustainable operation and contributes to green IoT development by lessening the dependency on traditional power sources. Functionally, the RFicient chip enhances IoT devices' performance by providing cutting-edge reception capabilities, which allow for the consistent and reliable transmission of data across varied environments. This robustness makes it ideal for applications in industrial IoT settings, including smart cities and agricultural monitoring, where data integrity and longevity are crucial. Technically advanced, the RFicient chip's architecture employs intelligent design strategies that leverage low-latency responses in data processing, making it responsive and adaptable to rapid changes in its operational environment. These characteristics position it as a versatile solution for businesses aiming to deploy IoT networks with minimal environmental footprint and extended operational lifespan.
The NX Class RISC-V CPU IP by Nuclei is characterized by its 64-bit architecture, making it a robust choice for storage, AR/VR, and AI applications. This processing unit is designed to accommodate high data throughput and demanding computational tasks. By leveraging advanced capabilities, such as virtual memory and enhanced processing power, the NX Class facilitates cutting-edge technological applications and is adaptable for integration into a vast array of high-performance systems.
Suite-Q HW is a robust system-on-chip (SoC) solution that envelops all the necessary cryptography required for secure protocols within compact and efficient hardware. Targeted at both high-end servers and low-end embedded systems, this solution emphasizes the dual benefits of scalability and adaptability. Suite-Q HW efficiently offloads demanding symmetric and asymmetric cryptographic processes by leveraging specialized accelerators, offering enhanced execution speeds that cater to different application requirements. A key component of its utility lies in its support for a wide array of cryptographic operations. This includes classical public key methods, such as ECDSA and ECDH, alongside emerging post-quantum techniques within isogeny and lattice frameworks. The hardware is further augmented by secure hash algorithms and diverse AES encryption modes, delivering comprehensive protection across a variable security landscape. Incorporating optional Differential Power Analysis (DPA) countermeasures and validated security standards, Suite-Q HW ensures security for sensitive data against contemporary and emerging threats. It facilitates integration with existing development flows across SoCs and FPGAs, optimizing power and silicon footprint according to specific needs. Furthermore, the hardware package provides comprehensive resources for integration, from testbench data to simulation scripts, enhancing its adaptability and effectiveness in today's digital security paradigm.
The SoC Platform offered by SEMIFIVE is a versatile solution that accelerates the design and development of System-on-Chip (SoC) products. Leveraging domain-specific architecture and a rich pool of silicon-proven IP, this platform is crafted for key applications, ensuring reduced costs and risks while speeding up time-to-market. It provides a pre-configured and verified IP ecosystem that is ready for immediate hardware and software bring-up. One of the platform's standout features is its flexible architecture model, which supports a broad range of applications from AI inference to IoT and high-performance computing. This modular approach enables users to efficiently integrate their unique requirements with a lower non-recurring engineering (NRE) cost, maximizing component reusability and minimizing engineering risks. Additionally, the SoC platform facilitates rapid prototyping by offering a pre-selected and tested range of platform IP pools. These components are silicon-proven, ensuring seamless integration and reliability. With SEMIFIVE’s extensive support and comprehensive solutions, customers can confidently bring their innovative ideas to silicon, backed by state-of-the-art technology and industry expertise.
The XCM_64X64 is a complete cross-correlator designed for synthetic radar receivers. With 64 channels arranged in a sophisticated configuration, it processes vast amounts of data efficiently at low power consumption rates. Ideal for radiometers and spectrometer applications, this module is tailored for environments where bandwidth and speed are pivotal, supporting precise remote sensing operations.
XDS is an advanced solution for the design and simulation of RF and microwave circuits. With a focus on optimizing circuit performance, XDS equips engineers with the tools necessary to design robust RF systems that meet demanding specifications. Its high level of precision and simulation depth makes it ideal for engineers working in fields that require detailed RF analysis, such as telecommunications and consumer electronics. XDS enables the evaluation of circuit parameters under variable conditions, allowing designers to predict real-world performance accurately. By providing insights into potential interferences and signal degradation, XDS helps in refining designs to ensure reliability and efficiency. Its integration with other Xpeedic tools allows for a seamless transition from design to prototype, making it an essential tool in accelerating the time-to-market for RF technologies. Applications benefiting from XDS include the rapidly growing sectors of IoT and wireless communications, where RF components play a crucial role.
hellaPHY Positioning Solution is an advanced edge-based software that significantly enhances cellular positioning capabilities by leveraging 5G and existing LTE networks. This revolutionary solution provides accurate indoor and outdoor location services with remarkable efficiency, outperforming GNSS in scenarios such as indoor environments or dense urban areas. By using the sparsest PRS standards from 3GPP, it achieves high precision while maintaining extremely low power and data utilization, making it ideal for massive IoT deployments. The hellaPHY technology allows devices to calculate their location autonomously without relying on external servers, which safeguards the privacy of the users. The software's lightweight design ensures it can be integrated into the baseband MCU or application processors, offering seamless compatibility with existing hardware ecosystems. It supports rapid deployment through an API that facilitates easy integration, as well as Over-The-Air updates, which enable continuous performance improvements. With its capability to operate efficiently on the cutting edge of cellular standards, hellaPHY provides a compelling cost-effective alternative to traditional GPS and similar technologies. Additionally, its design ensures high spectral efficiency, reducing strain on network resources by utilizing minimal data transmission, thus supporting a wide range of emerging applications from industrial to consumer IoT solutions.
The memBrain™ technology is pioneering advancements in neuromorphic computing by optimizing neural network inference at the edge. By incorporating analog compute-in-memory techniques, memBrain™ efficiently handles deep neural networks' substantial Multiply-Accumulate (MAC) operations, pivotal for AI applications like video and voice recognition. This integration significantly enhances system performance by reducing system bus latencies and power consumption—achieving up to 20-fold power savings compared to conventional digital DSP methods.\n\nUtilizing SuperFlash® technology, memBrain™ stores significant synaptic weights within the floating gate, mitigating the need for off-chip storage and streamlining processing capabilities. The result is a reduction in both cost and system complexity, making advanced AI inferencing capabilities widely accessible. As AI applications evolve to require more efficient storage management, memBrain™ stands out as a solution that economizes power without compromising on performance.\n\nmemBrain™ is particularly influential in scenarios requiring efficient weight storage and MAC operations, such as large-scale neural systems. By employing a tile-based architecture, it supports numerous configurations tailored to specific application needs, ensuring scalability and adaptability in diverse AI models, from edge devices to broader AI systems. This adaptability positions memBrain™ as a forefront technology for edge AI innovations, offering robust solutions across various sectors from industrial to consumer applications.
The NB-IoT Transceiver from Palma Ceia SemiDesign is aligned with the 3GPP's Release 13 standard for LTE Cat NB1, providing robust cellular connectivity tailored for IoT applications. This transceiver meets and surpasses standard benchmarks, offering a low-power operation suitable for battery-dependent devices in expansive IoT networks. One of its standout features is the programmable nature of the transceiver, with a simple SPI interface that facilitates easy adjustments. It ensures efficient communication through narrowband transmission, maintaining operational integrity even with stringent bandwidth constraints. Its receiver is designed for high linearity, ensuring minimal interference and high signal quality. The transceiver's adaptable architecture includes comprehensive support for integration with baseband and MAC layer interfaces, assisting developers in managing complex system-level designs. Its lower energy profile, combined with thorough documentation and integration support, makes it indispensable in fields like smart city management, utility metering, and remote monitoring systems.
PUFhsm is an advanced embedded hardware security module aimed at automotive and other complex applications. It functions as a security enclave, isolating sensitive operations and securing communications within the chip. By embedding a dedicated CPU along with cryptographic engines within its architecture, PUFhsm ensures that security processes are handled efficiently without burdening the main system CPU. This module excels in meeting the stringent requirements of EVITA-Full compliance, a gold standard for automotive security, by offering robust secure boot, secure updates, and key management functionalities. The architecture further supports the safeguarding of in-vehicle communication against sophisticated cybersecurity threats. Designed to offset the security management workload from the primary system CPU, PUFhsm features a comprehensive set of APIs and reference codes for seamless integration into chip designs, boosting security capabilities across the ecosystem. Its modular design and scalability offer flexibility for designers to incorporate advanced security protocols tailored to specific application needs.
The PCS2100 is a specialized Wi-Fi HaLow modem developed for IoT applications, supporting the IEEE 802.11ah specification. As a single-chip solution, it acts on the STA/client side of a HaLow network, seamlessly pairing with access points like the PCS2500 to create expansive IoT ecosystems. It operates in sub-GHz frequencies, facilitating ranges that can extend beyond one kilometer, ideal for high-density IoT deployments. Key features of the PCS2100 include low power consumption and enhanced connectivity through protocols like TWT (Target Wake Time) and RAW (Resource Allocation Windows), which significantly extend the operational lifespan of battery-powered sensors. The PCS2100 uniquely supports mandatory 1 MHz and 2 MHz bandwidths, allowing compatibility across regional spectrums while maintaining robust and reliable connections. Security is paramount, with support for WPA3 and advanced cryptographic protocols to ensure secure data transmission. This makes it particularly suitable for secure IoT applications in industrial automation, smart cities, and consumer electronics where data integrity and long-term operation are critical.
The RecAccel N3000 AI Inference Chip is crafted to handle the demands of AI inference workloads, delivering high efficiency and low power consumption. It supports complex neural network inference tasks, making it ideal for data-driven applications demanding real-time processing. This chip excels in environments where precision and speed are critical, offering enhanced throughput capabilities that optimize performance across various AI models. By reducing latency and improving data processing speeds, it ensures smooth operations even under heavy processing tasks. Tailored for seamless integration, the RecAccel N3000 Inference Chip provides businesses with a scalable and reliable AI processing component critical for maintaining operational flow and improving AI task management efficiency. Its architecture is designed to support emerging AI technologies, positioning it as a forward-thinking choice for enterprises looking to stay ahead of the curve.
AresCORE UCIe Die-to-Die PHY is a tailored solution for die-to-die interconnects, designed to simplify the link between chiplets within a complex system. It addresses the critical demand for reliable, high-bandwidth communication channels in multi-die packages, facilitating scalable system architectures. Capable of supporting wide bandwidth requirements, AresCORE enhances performance with minimized power consumption, essential in preventing bottlenecks in data-intensive applications. This PHY is engineered to seamlessly integrate into modern SoC designs, offering flexibility and enhanced operational efficiency. The robust architecture and comprehensive testing capabilities of AresCORE ensure data integrity and compatibility with future technological advancements. Its adaptability to various implementation scenarios makes it a suitable choice for next-generation computing technologies.
The Raptor N3000 AI Accelerator is a robust solution tailored for AI tasks, designed to optimize efficiency and speed for AI inferencing applications. Its architecture allows for accelerated computation, reducing the time needed for complex AI model processing. Equipped with ASIC technology tuned for high-performance inference, the Raptor N3000 delivers uncompromising accuracy and efficiency. It's engineered to tackle the demands of modern AI systems, ensuring tasks can be executed with minimal delay and high accuracy. This accelerator is essential for organizations needing reliable and fast AI processing solutions, providing a high-density and power-effective accelerator that seamlessly integrates into existing systems. Through its advanced interfacing capabilities, the Raptor N3000 is an indispensable asset for advancing AI capabilities across varied sectors.
Domain-Specific RISC-V Cores from Bluespec provide targeted acceleration for specific application areas by packaging accelerators as software threads. This approach enables developers to achieve systematic hardware acceleration, improving the performance of applications that demand high computational power. These cores are designed to support scalable concurrency, which means they can efficiently handle multiple operations simultaneously, making them ideal for complex scenarios that require high throughput and low latency. The ease of scalability ensures that developers can rapidly adapt their designs to meet evolving demands without extensive redesign. Bluespec’s domain-specific cores are well-suited for specialized markets where performance and efficiency can make a significant impact. By providing a robust platform for acceleration, Bluespec empowers developers to create competitive and rapidly deployable solutions.
The Tianqiao-90 is a high-performance commercial-grade RISC-V CPU core tailored for demanding computing scenarios. It showcases exceptional capabilities across a wide range of applications, including data centers, PCs, mobile devices, and robust networking communications. Engineered with a focus on efficiency, this core supports the RISC-V RV64GCBH extension, ensuring a balance between performance and power consumption. With advanced design elements like a pipeline architecture, multi-level caches, and deep out-of-order execution, the Tianqiao-90 provides a formidable performance boost. It reaches an impressive SPECint2006 rating of 9.4 per GHz, making it suitable for complex data processing tasks. This CPU core also enhances development simplicity with pre-configured single, dual, and quad-core options that maintain memory coherence, easing the path for SoC development and deployment. The Tianqiao-90 is integrated seamlessly into environments that demand both high efficiency and computational power.
Neuchips' Viper Series Gen AI PCIe Card is engineered for advanced AI applications, aiming to enhance inferencing speed and efficiency. This card is optimized for handling deep learning tasks and is well-suited for scalable AI environments, providing users with a robust solution for deploying AI applications. Its design focuses on achieving high throughput and low latency, ensuring swift execution of AI functions critical to business operations. By shifting significant computational tasks from the central processor, it allows for more efficient resource allocation and improved system performance. The Viper Series is compatible with a broad range of AI models, offering flexibility and ease of integration for modern businesses. Its emphasis on power efficiency and advanced software compatibility makes it a top choice for organizations seeking to leverage AI technology in a power-efficient manner, without compromising on performance.
PhantomBlu is a sophisticated mmWave communication solution specifically designed for the defense sector, empowering military operations with robust, high-performance connectivity. Leveraging advanced mmWave technology, it supports tactical connections between land, sea, and air platforms, enabling seamless IP networking over a secure, anti-jam resistant mesh network. PhantomBlu’s design is optimized for rapid deployment and versatile use across various challenging military and defense environments. The PhantomBlu system offers unprecedented connectivity and integration capabilities, supporting high-bandwidth, low-latency communications essential for defense operations. It features LPI (Low Probability of Interception) and LPD (Low Probability of Detection), ensuring stealth and operational security. Its adaptive networking solutions significantly enhance situational awareness and interoperability amongst varied defense assets, assuring seamless transfer of C4ISR data. Whether deployed across large terrains or in mobile units, PhantomBlu's resilience and scalability ensure that defense teams operate with confidence. Its advanced capabilities are critical in mitigating risks and enhancing strategic emission, making it an invaluable asset for modern military communications needs.
IRIS is an advanced simulation tool focused on RF and analog IC design. It provides accurate and fast electromagnetic simulations, catering to the demands of high-frequency chip design. IRIS enables engineers to perform detailed analyses of RF circuits, ensuring optimal performance and compliance with design specifications, which are critical in applications ranging from communication to consumer electronics. The precision and speed of IRIS make it an essential tool for circuit designers who need to evaluate the behavior of complex analog signals within their IC architectures. Its advanced algorithms facilitate a deeper understanding of how RF signals propagate and interact across various components, ensuring that designs are both efficient and reliable. IRIS contributes significantly to sectors such as IoT and communication infrastructure, where the ability to simulate and verify RF designs quickly and accurately can lead to more robust and innovative solutions. Its integration with other Xpeedic design tools allows for a streamlined workflow from simulation to prototype testing.
The Blazar Bandwidth Accelerator Engine is an advanced memory solution that integrates in-memory computing capabilities for high-capacity, low-latency applications. This engine accelerates data processing by incorporating up to 32 RISC cores, significantly boosting data throughput and application performance. The built-in memory offers a capacity of up to 1Gb, effectively supporting high bandwidth and low latency operations critical in modern networking and data center infrastructures. Key features include the ability to perform tasks traditionally reserved for external processing units directly within the memory, reducing data movement and improving system efficiency. By embedding specific in-memory operations such as BURST and RMW functions, the Blazar engine minimizes execution time and interaction with external processors, offering optimal performance in SmartNICs and SmartSwitch applications. This accelerator engine is specifically designed to operate seamlessly with dual-port memory architectures, allowing parallel data access and processing. This feature is crucial for applications requiring high reliability and fast data aggregation, thus supporting sophisticated networking requirements inherent in 5G and advanced computing environments.
SEMIFIVE’s HPC Platform is crafted to cater to the demanding requirements of high-performance computing (HPC) applications. It leverages top-tier silicon technologies and comprehensive design solutions to ensure optimal performance and scalability for complex computations across various domains. The platform integrates powerful processing cores, advanced memory interfaces, and high-speed connectivity options. These technical attributes make it particularly suitable for data centers, cloud computing environments, and network processing applications where high throughput and low latency are critical. With the HPC Platform, users gain access to a customizable and scalable architecture that supports rapid prototyping and efficient verification processes. This is supported by SEMIFIVE’s dedication to silicon validation and extensive test scenarios, ensuring reliability and performance excellence in high-demand computing tasks.
The PCS1100 is a cutting-edge Wi-Fi 6E transceiver designed to expand wireless connectivity into the 6 GHz spectrum, part of the IEEE 802.11ax standard. It operates as the RF component in systems aiming to implement Wi-Fi 6E access points or stations, delivering high data throughput and better reliability across a multitude of devices. With support for 2.4GHz, 5GHz, and 6GHz spectrums, it enables dual-band concurrent operation, utilizing technologies like MU-MIMO for enhanced network efficiency. Its architecture facilitates up to four spatial streams with advanced modulation schemes such as 1024-QAM, allowing for increased data rates and better performance in dense networking environments. The PCS1100 is strategically designed to maintain a power-optimized, high-performance RF path, ensuring that device performance is aligned with the strictest industry standards for RF operation. The transceiver is equipped with features that support seamless integration with digital logic such as a SerDes link and analog interface options. This facilitates easy pairing with host controllers that manage the digital side of Wi-Fi operations, significantly reducing the complexity and risk associated with RF integration. Applications for the PCS1100 include smart home devices, commercial routers, and large-scale IoT deployments, providing scalable and robust wireless communication solutions.
The PCS2500 is a versatile Wi-Fi HaLow access point designed for IoT networks, based on the IEEE 802.11ah standard. This AP is particularly effective in managing large numbers of low-duty-cycle devices, utilizing innovative networking strategies to decrease power consumption and enhance operational efficiency. Operating on sub-GHz frequencies, it establishes long-range connections, supporting distances up to 1 km or more. The PCS2500 excels in dense IoT environments by incorporating features like RAW and TWT, which organize communication timing and resource allocation to improve network throughput while simultaneously minimizing energy consumption. It supports common Wi-Fi security protocols including WPA3, ensuring secure communications throughout its network. Designed for robustness, the PCS2500 can communicate with up to 500 STA/Clients, offering scalable throughput and broad spectrum compatibility between 755 MHz to 928 MHz. These capabilities make it ideal for smart cities, factory automation, and extensive IoT deployment scenarios that require reliable and energy-efficient connectivity solutions.
The SBR7065 is a variant of the NB-IoT transceiver which includes a built-in power amplifier (PA), enhancing its performance for LTE applications. This development seeks to maintain the device's ultra-low-power characteristic while optimizing transmission capabilities for extended range and improved signal integrity. By embedding PA, the transceiver achieves heightened communication efficiency without a significant energy footprint, crucial for applications where maintaining strong network connections is essential. This feature makes it suitable for large-scale IoT applications where consistency and reliability are vital. The SBR7065 demonstrates SaberTek's commitment to providing solutions that not only address industry demands for greater connectivity but also prioritize sustainable energy usage. Its deployment in smart metering and environmental monitoring underscores its potential in evolving digital infrastructure.
Building on the strengths of the AON1100, the AON1120 integrates additional I/O capabilities and RISC-V support, making it suitable for advanced smart home and automotive applications. It facilitates complex data interactions and processing with elevated accuracy and speed, supporting broader functionalities across various platforms where extended I/O operations are essential.
The Atlas Series from MIPS is a comprehensive suite of compute subsystems tailored for the Physical AI landscape. Combining the three core components—Sense, Think, and Act—this series enables seamless real-time processing, decision-making, and actuation for autonomous systems. The Sense component is adept at handling immense data streams for efficient sensor fusion, while the Think component empowers AI inference models for precise edge-based decision processes. Act, the final component, excels in real-time motor control and efficient energy management, completing a robust framework for modern AI applications. Designed to scale and adapt rapidly, the Atlas Series offers unmatched performance across automotive, industrial, and robotics sectors.
The Akeana 100 Series encompasses an array of 32-bit RISC-V processors optimized for deeply embedded systems. Its design focuses on ultra-small dimensions and low power consumption, making it ideal for cost-sensitive applications. These processors support a suite of configurations that can be customized to suit varied computing needs, from smart home appliances to drones. Their real-time processing capability is enhanced by configurations that allow for up to 64 KB data and instruction caches and up to 512 KB closely-coupled memory. This series is particularly advantageous for real-time computational tasks thanks to its in-order execution model and scalable memory system configurations that guarantee peak performance in area- and power-constrained microcontrollers. The processors are highly configurable, featuring four primary configurations, including 4-stage, 5-stage, and dual instruction pipeline architectures that allow them to effectively handle varied computational loads while maintaining efficiency. Additional features include support for scalar cryptographic extensions and a physical memory protection unit that enhances security by providing up to eight memory regions. With such capabilities, the Akeana 100 Series serves as an entry-level gateway into Akeana's processor offerings, delivering flexibility in design and implementation for embedded applications.
The Akeana 1000 Series blends high performance and extensive configurability for 64-bit RISC-V computations, aimed at applications requiring robust data processing capabilities. With support for single to four-way multi-threading, the series is tailored to accommodate a broad spectrum of tasks, ranging from smart home technologies to industrial applications. This family of processors allows for significant customization of both hardware and software, offering choice between in-order and out-of-order execution models. Depending on the application, users can choose from a comprehensive range of instruction issue widths, from single to quad. To facilitate efficient data computation, processors in this series incorporate advanced technologies like full RVA22 RISC-V profiles, supporting single and double-precision floating-point operations. A key feature of the Akeana 1000 Series is its flexibility in memory management. The processors come with an optional integrated memory management unit supporting expansive translation lookaside buffer (TLB) entries. With scalability to fully coherent multi-core structures, these processors are equipped for high-efficiency computing tasks, contributing to their utility in advanced driver-assistance systems (ADAS) and more.
The DP8051XP is an ultra-high performance , speed- optimized softcore, of a single-chip, 8-bit embedded controller, intended to operate with fast (typically on-chip) and slow (off-chip) memories. The core was designed with a special concern about the performance to power-consumption ratio. This ratio is extended by the PMU – an advanced power management unit. The DP8051XP softcore is 100% binary-compatible with an industry-standard 8051 8-bit microcontroller. There are two configurations of the DP8051XP: Harvard, where internal data and program buses are separated, and von Neumann, with common program and external data bus The DP8051XP has a Pipelined RISC architecture and executes 120-300 million instructions per second. Dhrystone 2.1 benchmark program runs from 11.46 to 15.55 times faster than the original 80C51 at the same frequency. The same C compiler was used for benchmarking of the core vs 80C51 with the same settings. This performance can be also exploited to great advantage in low- power applications, where the core can be clocked over ten times slower than the original implementation, without performance depletion. The DP8051XP is delivered with a fully automated test bench and a complete set of tests , allowing easy package validation at each stage of the SoC design flow. Each of DCD’s 8051 Cores has built-in support for a proprietary Hardware Debug System called DoCD™. It is a real-time hardware debugger, which provides debugging capability of a whole System-on-Chip (SoC). Unlike other on- chip debuggers, the DoCD™ provides non-intrusive debugging of a running application. It can halt, run, step into or skip an instruction, and read/write any contents of the microcontroller, including all registers, internal and external program memories, and all SFRs, including user-defined peripherals. ALL DCD’S IP CORES ARE TECHNOLOGY AGNOSTIC, ENSURING 100% COMPATIBILITY WITH ALL FPGA AND ASIC VENDORS.
The PCSRPWH serves as Palma Ceia's reference platform for Wi-Fi HaLow applications, specifically designed to demonstrate the practical use of IEEE 802.11ah. It provides an adaptable environment where product developers and architects can evaluate and prototype real-world Wi-Fi HaLow implementations. This reference platform includes a transceiver IC paired with an FPGA module that offers a comprehensive baseband and MAC framework. Such a setup allows developers to create test environments reflecting realistic application settings, crucial for devices requiring extended battery life and operating across various frequency bands. A notable feature of the PCSRPWH is its comprehensive interface support, enabling swift integration into existing Ethernet networks to facilitate rapid prototyping. This adaptability, combined with user-configurable output power options, ensures the platform can mimic a wide variety of field conditions, making it vital for early-stage development of IoT applications such as smart home systems and wearable technology.
The SB1001-C/M BLE 6.0 digital modem and baseband controller IP enables industry-leading, ultra-efficient, wireless SoCs for a multitude of connected applications. It supports all key features up to BLE 6.0, such as distance measurement, audio, mesh, and channel sounding. The modem offers industry-leading link budget for RF environment reliability and resilience. A Zephyr driver is included for ease of host integration. Our software development and testing environment greatly reduces development times, enabling significantly faster time to market compared to most large players.
SB1001-00, a BLE 6.0 Subsystem IP, consists of an integrated Controller and Modem paired to a proprietary RF on T22 ULL. It is suitable for ASIC developers or fabless semiconductor companies who want to add BLE functionality without the hassle of dealing with multiple IP vendors or design groups. It features ultra-low active and deep-sleep power consumption and high TX power with industry-leading RX sensitivity for reliable, longer-range BLE communications. Key applications include wireless sensing networks, smart lighting, and portable medical devices.
VibroSense Tiny AI Chip stands out as a solution to the Industrial IoT (IIoT) challenge of handling massive data volumes generated by vibration sensors. Based on a Neuromorphic Analog Signal Processor, this chip preprocesses vibration data directly at the sensor, significantly reducing the amount of data that needs to be transmitted and stored. It's an ideal component for predictive maintenance systems, where early detection of machine conditions can prevent costly failures. The VibroSense chip enables streamlined communications across long distances with narrow bandwidth, which lessens operational expenses while ensuring precise and timely decision-making in industrial settings. This chip's application spectrum spans various machinery, from engines to wind turbines, promising substantial advances in efficiency and reliability.
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