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Let's get into the nitty-gritty and talk about the **_tech_** that makes these chips tick. Specifically, we'll dive into **_SCAS (Scalable Coherent Accelerator System)_** and **_SC-SHiPSC (System Coherency - Shared Hierarchical Inter-Processor System-on-Chip)_**. These are key technologies that enable high-performance computing in both **Nvidia** and **Huawei** chips. SCAS is all about making different accelerators (like GPUs or AI chips) work together seamlessly. This means that data can be shared and processed across multiple chips with minimal delay. This is crucial for large-scale AI training and inference, where models need to be split across multiple processors to speed up computation. SC-SHiPSC, on the other hand, deals with the communication and coordination within a single chip. It allows for efficient sharing of resources, such as memory and processing units, within the chip. This results in reduced latency and improved overall performance. Think of it like this: SCAS is the highway system that connects different cities (chips), while SC-SHiPSC is the internal road network within each city, making everything run smoothly. These technologies are crucial for efficient data movement and processing, leading to improved performance. The goal is to maximize the utilization of all available resources and to minimize communication bottlenecks, thereby boosting overall efficiency. Without these advanced technologies, it would be impossible to deliver the speed and performance that AI applications demand.
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