NVIDIA, the global leader in AI chips, recently launched an AI chip specifically designed for the Chinese market - H20 in the Chinese market. However, the highly anticipated new product has been met with a lot of skepticism, especially when it comes to performance. According to foreign media reports, the H20 is significantly deficient in FP32 performance compared with Huawei's 910B. As an important measure of how fast the chip can handle ordinary tasks, the FP32 performance of the H20 is only half that of the 910B. This means that the H20 may lag behind the 910B when it comes to some specific tasks. 
However, despite lagging behind in FP32 performance, the H20 has shown some advantages in terms of interconnect speed. Interconnect speed is a key measure of the speed of data transfer between chips and is critical for large-scale AI computing. In this regard, the H20 performs well and may provide better performance for some specific application scenarios. 
In addition, the ** of H20 has also attracted market attention. The original price was 1$20,000 to $1$50,000, but some dealers have started to raise prices significantly, pushing the starting price of the H20 to around $110,000. This ** is not much different from Huawei's 910B, but considering the difference in performance, this makes the H20 slightly lacking in terms of cost performance. 
Overall, NVIDIA's H20 chips have encountered quite a challenge in the Chinese market. Although it has advantages, there is a certain gap compared with Huawei's 910B in terms of performance, ** and cost performance. This is undoubtedly a wake-up call for Nvidia to be more cautious when entering the Chinese market. Nvidia needs to recognize that the demand for AI chips in the Chinese market is growing day by day, and the competition is becoming more fierce. Domestic technology giants such as Huawei and Alibaba are also continuously strengthening independent research and development and launching AI chips with stronger performance. In such an environment, if Nvidia wants to gain a foothold in the Chinese market, it must come up with more competitive products. 
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At the same time, for Chinese enterprises and consumers, when choosing AI chips, they should not only consider performance and **, but also consider compatibility with local technologies and ecosystems. This may be a question that Nvidia needs to think about further. In conclusion, although Nvidia's H20 chip has its own unique features, it still needs to work hard to improve performance and cost performance when facing strong competitors such as Huawei. In the future, we look forward to NVIDIA bringing more innovation and value to the Chinese market."