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The Jotunn8 represents a leap in AI inference technology, delivering unmatched efficiency for modern data centers. This chip is engineered to manage AI model deployments with lightning-fast execution, at minimal cost and high scalability. It ensures optimal performance by balancing high throughput and low latency, while being extremely power-efficient, which significantly lowers operational costs and supports sustainable infrastructures. The Jotunn8 is designed to unlock the full capacity of AI investments by providing a high-performance platform that enhances the delivery and impact of AI models across applications. It is particularly suitable for real-time applications such as chatbots, fraud detection, and search engines, where ultra-low latency and very high throughput are critical. Power efficiency is a major emphasis of the Jotunn8, optimizing performance per watt to control energy as a substantial operational expense. Its architecture allows for flexible memory allocation ensuring seamless adaptability across varied applications, providing a robust foundation for scalable AI operations. This solution is aimed at enhancing business competitiveness by supporting large-scale model deployment and infrastructure optimization.
The Tyr AI Processor Family is designed around versatile programmability and high performance for AI and general-purpose processing. It consists of variants such as Tyr4, Tyr2, and Tyr1, each offering a unique performance profile optimized for different operational scales. These processors are fully programmable and support high-level programming throughout, ensuring they meet diverse computing needs with precision. Each member of the Tyr family features distinct core configurations, tailored for specific throughput and performance needs. The top-tier Tyr4 boasts 8 cores with a peak capability of 1600 Tflops when leveraging fp8 tensor cores, making it suitable for demanding AI tasks. Tyr2 and Tyr1 scale down these resources to 4 and 2 cores, respectively, achieving proportional efficiency and power savings. All models incorporate substantial on-chip memory, optimizing data handling and execution efficiency without compromising on power use. Moreover, the Tyr processors adapt AI processes automatically on a layer-by-layer basis to enhance implementation efficiency. This adaptability, combined with their near-theory performance levels, renders them ideal for high-throughput AI workloads that require flexible execution and dependable scalability.
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