The competition in the field of artificial intelligence is becoming increasingly intense, evolving into three main fronts: talent acquisition, technological innovation, and Computing Power competition. Among them, the struggle for Computing Power is particularly noteworthy, as major tech companies have announced ambitious plans.

Recently, Musk proposed a striking goal: to deploy an equivalent Computing Power of 50 million H100 GPUs within the next 5 years. This announcement follows closely after OpenAI CEO Altman announced that they would deploy 1 million GPUs by the end of the year, highlighting the fierce competition between the two companies.

At the same time, Meta has also joined the race, announcing that it will invest hundreds of billions of dollars to enhance Computing Power. The company plans to launch the world's first gigawatt-level AI Computing Power center next year, further showcasing the ambitions of tech giants in the field of AI.

Currently, Elon Musk's xAI seems to be in a leading position in terms of the actual deployed Computing Power. The company's Colossus1 system already utilizes 230,000 GPU cards, including 200,000 H100s and 30,000 GB200s. Even more astonishing is that the under-construction Colossus2 system is expected to use 550,000 GB200s and GB300s. These initiatives highlight Musk's competitive advantage in the AI Computing Power race.

Musk also showcased images of the cables for the GB200 cluster and physical photos of the GB200 and GB300 through social media, attracting widespread attention in the industry. The large-scale deployment of these high-performance GPUs signifies a tremendous leap in AI computing power.

With major tech companies continuously increasing their investments in AI Computing Power, we can anticipate that the development speed of AI technology will further accelerate in the future. This Computing Power race not only concerns the technical strength of each company but will also directly impact the breadth and depth of AI applications, potentially bringing about a new wave of technological revolution. However, such large-scale Computing Power deployment has raised concerns about energy consumption and environmental impact. Balancing high performance with sustainable development will be another significant challenge faced by tech companies.