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Designed to push the boundaries of automotive and embedded applications, the I8500 multiprocessor integrates 4-way simultaneous multithreading with a streamlined RISC-V architecture. Targeting applications that demand enhanced parallel processing, it supports multiple cores per cluster and ensures efficient instruction processing. This capability is particularly useful in scenarios requiring high-speed data throughput and real-time decision making, like in advanced automotive platforms. The I8500's design is not only focused on performance but also on meeting stringent safety standards, making it suitable for diverse sectors including automotive and datacenters. Its multithreaded approach significantly boosts system throughput, thereby offering a compelling balance between high performance and power efficiency.
The P8700 series offers a high-performance multi-core architecture tailored for advanced AI applications. With its design rooted in RISC-V, the series enables superior data movement and rapid processing, critical for applications such as automotive advanced driver assistance systems (ADAS) and autonomous vehicles (AVs). Its multi-threaded architecture supports out-of-order execution, maintaining high throughput and efficiency. Notably, its ASIL-B certification ensures it meets automotive safety standards. The series is optimized for low latency, enhancing real-time data processing capabilities, and is scalable across various multi-core and multi-cluster configurations, ensuring adaptability to different system requirements. This adaptability makes it a preferred choice for autonomous systems needing dynamic and complex computation.
The MIPS Atlas Series represents a powerful suite of subsystems engineered to drive physical AI innovation across various sectors, such as industrial robotics and autonomous platforms. Central to the Atlas Series are its capabilities to 'Sense', 'Think', and 'Act', which offer a complete stack for enabling physical AI. This series integrates advanced multithreaded and real-time computing architectures to facilitate seamless sensor fusion, data processing, and motor control. It optimizes the computational performance at the edge, enabling applications to execute with minimal latency and high reliability.
The MIPS Think AI Inference Engines are built to accelerate AI model inference at the edge, supporting various applications that require complex decision-making processes. These engines excel in processing AI models that leverage the RISC-V open standard, allowing seamless integration and optimization for customer-specific needs. The Think engines facilitate efficient edge AI processing, extending support to multimodal applications requiring low-latency execution. Their scalability ensures that the engines can cater to diverse computational needs, thus optimizing resource utilization without compromising on performance or energy efficiency.
The MIPS Sense Data Movement Engines ensure efficient data processing for physical AI applications. They are equipped with advanced protocol support, including TSN and EtherCAT, which facilitate rapid integration within networked systems. These engines are especially aligned with the demands of modern data-centric installations, offering low-latency data handling and effectively boosting throughput for sensor fusion applications. The engines are essential for moving large datasets, making them suitable for use within smart NICs and data processing units. Their ability to rapidly assimilate and process data streams is crucial for enhancing the efficiency of data-driven AI systems.
MIPS Act Real-Time Compute Solutions focus on providing state-of-the-art control for dynamic systems through real-time computing. These solutions are pivotal in applications requiring precise motor control and efficient energy management, such as in robotics and electric vehicles. By leveraging RISC-V architecture, these compute solutions offer enhanced customization and innovative control algorithms. They provide end-to-end software solutions with built-in functional safety options, making them not only highly efficient but also reliable for safety-critical applications. This combination of real-time responsiveness and safety makes them suitable for modern automated systems that need precise operational control.
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