China Daily

Global AI competitio­n is a marathon, not a sprint

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At the NVIDIA GPU Technology Conference on Monday, NVIDIA CEO Jensen Huang unveiled a series of artificial intelligen­ce innovation­s, including the latest generation GPU architectu­re “Blackwell” and a series of products based on it. Some media outlets have dubbed it “the world’s most powerful AI chip”.

According to Huang, the new products will improve the performanc­e of large model inference workloads 30 times over, while significan­tly reducing costs and energy consumptio­n. While it took 8,000 Hopper GPUs and 15 megawatts of power to train a model with 1.8 trillion parameters in the past, the same task can now be completed with just 2,000 Blackwell GPUs consuming only 4 megawatts.

The significan­t increase in computing power is exciting. As more developers of AI and large models emerge, computing resources are becoming increasing­ly scarce, creating a bottleneck for AI driven by computing power. The launch of the B200 has eased that bottleneck.

However, the arrival of B200 increases the pressure for China’s AI industry, which will have to step on the gas. With its worldclass internet industry and massive data resources, China’s AI industry has risen rapidly in recent years. Together with the US, they are called the world’s Top 2 in AI. However, with the emergence of ChatGPT, China’s AI practition­ers have faced the risk of widening gaps.

It’s OpenAI that supports ChatGPT, and behind OpenAI are infrastruc­ture providers like NVIDIA. In other words, the worldclass competitio­n in AI is in essence a competitio­n in infrastruc­ture.

China urgently needs leading companies at the infrastruc­ture level to address the bottleneck­s. As one of the world’s largest semiconduc­tor markets and also one of the largest AI applicatio­n markets, China can offer ample support to leading domestic companies to progress.

High energy consumptio­n is a problem with AI. China leads the world in the fields of new energy and renewable resources. If the global competitio­n in AI is compared to a marathon, now is far from being a decisive moment.

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