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The Tyr Superchip is engineered to facilitate high performance computing in AI and data processing domains, with a focus on scalability and power efficiency. Designed around a revolutionary multi-core architecture, it features fully programmable cores that are suitable for any AI or general-purpose algorithms, ensuring high flexibility and adaptability. This product is crucial for industries requiring cutting-edge processing capabilities without the overhead of traditional systems, thanks to its support for CUDA-free operations and efficient algorithm execution that minimizes energy consumption.
The Jotunn8 AI Accelerator is engineered for the demands of large scale, generative AI models like GPT-4. It stands out in the market by significantly improving computational efficiencies, reaching over 50% algorithm efficiency even with large model parameters. This product targets reducing deployment costs to less than $0.002 per query, making advanced AI applications more accessible and affordable. Featuring 6,400 Tflops of fp8 performance and 1,600 Tflops of fp16 capability, Jotunn8's architecture is built to deliver maximum data throughput to its processing cores, avoiding traditional bottlenecks in memory access. The Jotunn8 is fully programmable and designed for seamless performance in cloud and on-premise infrastructures, all while minimizing latency and keeping power consumption in check.
The Tyr AI Processor Family offers a scalable multi-core architecture ideal for any AI or DSP application. It integrates ASIL-D safety standards, making it suitable for advanced driver assistance systems (ADAS) and autonomous driving. Each chip in the Tyr family supports high-level programming and seamless over-the-air updates, providing developers with flexibility and ease of development. The processors achieve near-theoretical efficiency via unique algorithm support, including newer models like BEVformer and Transformers. Additionally, the fully programmable nature of Tyr chips allows them to handle diverse algorithms efficiently, meeting the stringent power and cost requirements of automotive applications.
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