随着人工智能技术的不断发展，边缘计算与人工智能的融合已成为推动智能化转型的重要力量。边缘AI，作为这一趋势的产物，将人工智能算法直接嵌入到数据产生的本地环境中，如智能手机、物联网设备或本地服务器，以实现实时数据处理和分析。这种分布式计算范式的转变，不仅减少了数据传输和处理的延迟，还为智能监控、自动驾驶、医疗诊断和工业自动化控制等应用场景提供了高效的支持。
在边缘AI服务器市场中，AI服务器的需求正快速增长。根据Gartner的预测，从现在到2027年，AI服务器市场规模将保持高速增长，年复合增长率高达30%。在这一市场中，浪潮信息等公司凭借其高性能的服务器产品，在全球市场上占据了领先地位。
在边缘AI的计算架构选择上，可重构计算架构CGRA因其灵活性和高效性而被认为是适合边缘AI的最佳并行计算架构。由芯动力提出的可重构并行处理器（RPP），不仅在实验评测中得到了证实，而且在国际计算机体系结构顶级会议ISCA上得到了国际学术权威的认可。基于RPP架构的R8芯片，因其高效的能效比和强大的并行处理能力，成为了边缘AI服务器和AIPC的理想AI加速处理器选择。
未来，随着AI大模型的爆发和边缘AI应用的渗透，边缘AI服务器及加速处理器的需求将不断增长。RPP架构及其后续迭代芯片的推出，有望进一步推动边缘AI计算的发展，为各行各业带来更加智能化的解决方案。
英语如下：
Title: “AI Large Model Drives GPU Demand Surge, Emerges Edge AI Architecture”
Keywords: ISCA, AI Architecture, Edge Computing
Content:
As artificial intelligence technology continues to evolve, the fusion of edge computing and artificial intelligence has become an important driving force for the transformation towards intelligence. Edge AI, a product of this trend, directly embeds artificial intelligence algorithms into the local environments where data is generated, such as smartphones, Internet of Things (IoT) devices, or local servers, to achieve real-time data processing and analysis. This shift in the paradigm of distributed computing not only reduces data transmission and processing latency but also provides efficient support for applications such as smart surveillance, autonomous driving, medical diagnosis, and industrial automation control.
In the market for edge AI servers, demand for AI servers is experiencing rapid growth. According to Gartner’s forecast, the AI server market size will maintain high-speed growth from now to 2027, with an annual compound growth rate of up to 30%. In this market, companies like Inspur Information have secured a leading position in the global market by leveraging their high-performance server products.
In the selection of computing architectures for edge AI, reconfigurable computing architectures such as CGRA are considered the best parallel computing architectures for edge AI due to their flexibility and efficiency. The reconfigurable parallel processor (RPP) proposed by X-Power has been validated through experimental evaluations and has received recognition from international academic authorities at the top international conference on computer architecture, ISCA. The R8 chip, based on the RPP architecture, has become an ideal choice for AI acceleration processors in edge AI servers and AIPC due to its high energy efficiency ratio and powerful parallel processing capabilities.
Looking ahead, with the explosive growth of AI large models and the penetration of edge AI applications, the demand for edge AI servers and acceleration processors will continue to grow. The introduction of the RPP architecture and its subsequent iterations of chips is expected to further drive the development of edge AI computing, bringing more intelligent solutions to all walks of life.
【来源】https://www.jiqizhixin.com/articles/2024-08-13-7
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