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The MIPS Atlas Series is engineered to drive innovation in Physical AI, offering a robust suite of compute subsystems designed for autonomous platforms. These systems are adept at balancing high throughput and low latency, essential for real-time applications in industrial robotics and automotive sectors. The Atlas Series enables platforms to not only sense their environments but also analyze and act with proficiency. Harnessing the power of multiple AI engines, the MIPS Atlas Series supports mixture-of-experts inference models, ensuring optimal performance across diverse AI workloads. This allows for greater customization and flexibility, catering to the unique demands of each deployment scenario. By integrating MIPS' proprietary extensions, this series ensures seamless connectivity and superior data throughput, making it an ideal choice for edge applications. Additionally, the Atlas Series is built upon the open-standard RISC-V architecture, empowering developers with the freedom to tailor solutions to their specific needs. With its scalable and configurable design, it's equipped to efficiently meet the expanding requirements of the burgeoning Physical AI market, creating new opportunities for innovation and efficiencies.
The MIPS Think line is designed to enable edge-based AI processing by leveraging the advanced capabilities of mixture-of-experts inference models. These engines provide the computational power necessary for real-time intelligence across a variety of scalable AI applications, from industrial automation to autonomous vehicles. Built upon the RISC-V architecture, MIPS Think AI Inference Engines offer a flexible, scalable solution for processing complex AI models. They are particularly well-suited for open-source and commercial AI applications, allowing for seamless integration and optimization. The engines facilitate rapid data processing, which is critical for maintaining real-time decision-making capabilities. These engines ensure high levels of performance and reliability required for applications at the edge. With a focus on low-latency processing, they are engineered to support the demanding computational needs of future AI platforms, delivering the necessary agility and speed to perform in real-time environments efficiently.
The MIPS Act series provides state-of-the-art real-time computing solutions that address the precision control needs of modern AI-driven environments. These solutions deliver ultrafast compute capabilities for applications requiring high-efficiency motor control, such as robotics and advanced vehicular systems, where precision and operational efficiency are significant. The Act series is characterized by its ultra-low latency control loops, enabling the execution of sophisticated control algorithms with exceptional accuracy and responsiveness. This is vital for reducing latency in systems requiring real-time data processing, enhancing output and operation. Incorporating robust safety and efficiency features, the Act series supports high performance and is fully configurable for unique application requirements. By improving motor efficiency and reducing dependency on oversized hardware, these solutions facilitate more compact and resource-efficient designs. Developers benefit from MIPS' efficiency-driven approach, unlocking new levels of performance and operational capability in AI applications.
MIPS Sense Data Movement Engines are specialized for handling data flows in high-demand environments such as AI-driven data centers and industrial networking infrastructures. These engines are crafted to efficiently process and integrate sensor data, a critical component in platforms that rely on real-time data to make informed decisions. The data movement engines facilitate seamless communication protocols including TSN and EtherCAT, supporting turnkey solutions for quick adoption and deployment. This compatibility is crucial for systems that require rapid data transfer and integration to function optimally, such as those in autonomous manufacturing systems and AI datacenters. Designed to handle gigabytes of data per second, the Sense engines improve throughput and reliability, making them essential in advanced environments where high-speed data processing is a necessity. The combination of these engines with MIPS' multithreading and functional safety options provides increased reliability and performance, ensuring that the data movement infrastructure is robust and efficient.
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