近日，百度创始人、董事长兼CEO李彦宏在财报电话会议上透露，尽管美国对高性能AI芯片的出口对中国企业进行了限制，但百度依然能够确保用户体验不受影响。李彦宏表示，百度正在使用自研的AI架构，并且在国产芯片上也能实现高效率的运行。
据悉，百度的AI技术架构分为四层：芯片层、框架层、模型层和应用层。虽然芯片层受到了限制，但百度在应用层、模型层和框架层都有很大的创新空间。李彦宏指出，即使是使用性能较低的国产芯片，百度仍能够维持高效率。
李彦宏的这番言论凸显了百度在AI技术领域的自主研发能力。尽管美国限制了英伟达和AMD等厂商的高性能AI芯片的对中国出口，百度依然能够通过自研AI架构和优化其他技术层面来弥补这一限制。这表明，百度在AI领域的核心竞争力不仅仅依赖于芯片层，更在于其深厚的技术积累和创新的研发能力。
这一消息对百度来说是一个积极的信号。在全球AI芯片竞争激烈的环境下，百度通过自研AI架构和优化其他技术层面，不仅能够应对外部限制，还能够进一步提升自身在AI领域的竞争力。
总的来说，百度采用自研AI架构，国产芯片也能高效运行，这不仅展示了百度的技术实力，也为百度在AI领域的未来发展提供了坚实的基础。
英语如下：
### Baidu’s Robin Li: Self-developed AI Architecture Helps Domestic Chips Run Efficiently
**Keywords:** Robin Li, Baidu AI, Domestic Chips.
**News Content:**
#### Baidu Adopts Self-developed AI Architecture, Enabling High-Efficiency Operation of Domestic Chips
Recently, Robin Li, the founder, chairman, and CEO of Baidu, revealed in the earnings conference call that despite the export restrictions imposed by the United States on high-performance AI chips to Chinese enterprises, Baidu has managed to ensure that user experience remains unaffected. Li stated that Baidu is utilizing its self-developed AI architecture and can achieve high efficiency on domestic chips as well.
It is understood that Baidu’s AI technology architecture is divided into four layers: chip layer, framework layer, model layer, and application layer. Although the chip layer is restricted, Baidu has a significant amount of room for innovation in the application layer, model layer, and framework layer. Li pointed out that even with the use of domestically produced chips with lower performance, Baidu can still maintain high efficiency.
Robin Li’s remarks highlight Baidu’s independent research and development capabilities in the field of AI technology. Despite the U.S. restrictions on the export of high-performance AI chips from companies like Nvidia and AMD to China, Baidu can still mitigate this limitation through its self-developed AI architecture and optimization of other technical aspects. This indicates that Baidu’s core competitiveness in the AI field is not solely reliant on the chip layer but also on its profound technological accumulation and innovative research and development capabilities.
This news is a positive signal for Baidu. In the highly competitive global AI chip market, Baidu is able to respond to external restrictions and further enhance its competitiveness in the AI field by adopting its self-developed AI architecture and optimizing other technical aspects.
In summary, Baidu’s adoption of a self-developed AI architecture means that domestic chips can also run efficiently. This not only showcases Baidu’s technical strength but also provides a solid foundation for Baidu’s future development in the AI field.
【来源】https://news.mydrivers.com/1/967/967577.htm
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