Raising the money is just the first step! Musk revealed: If you want to build an AI data center, you must do "these three things"
Quick Look
- Musk warned that although the demand for AI data centers is strong, successful financing does not mean that companies can build and operate complex systems.
- Actual implementation faces three major challenges: power, cooling, and network systems.
- Even SpaceX has a top team and finds the project extremely challenging.
AI-generated summary
Why It Matters
Global technology companies are investing huge sums of money to expand artificial intelligence data centers, but the market's concerns about investment returns have increased, resulting in pressure on AI-related debt, and investors are demanding higher bond yields to compensate for financing risks.
The demand for AI data centers is booming! Musk poured cold water: there are three major difficulties behind it. (AFP)
[Financial Channel/Comprehensive Report] Global technology companies are investing huge sums of money to expand artificial intelligence (AI) data centers, but can they be built if they have money? Tesla CEO Elon Musk warned that market demand for supercomputer data centers remains strong, but successfully raising funds does not mean that companies have the ability to build and operate these complex systems. Even though SpaceX has the world's top engineering team, actual execution is still quite difficult.
According to the US media "Benzinga", Musk posted on the social platform X on Tuesday that it is not that there is a lack of demand for supercomputer data centers. In fact, the demand is indeed very strong. However, he emphasized that obtaining funding and actually building complex hardware facilities that require huge power, cooling and network systems are two completely different things.
Please read on...
Musk was responding to a post about pressure on the AI credit market. As investors' doubts about the return on investment in AI infrastructure have increased, the market has begun to demand higher bond yields to compensate for the financing risks caused by data center expansion.
"Reuters" previously pointed out that rising interest rates and concerns about investment returns are putting pressure on AI-related debt, including the data center financing plans of CoreWeave, Oracle and large cloud service providers, all of which have attracted market attention. As AI infrastructure sets off a massive wave of borrowing, investors are beginning to examine whether these projects can generate enough cash flow in the future to cover increasing financing costs.
However, Musk believes that the real problem is not demand, but whether companies can implement huge investment plans. He said that SpaceX has an extremely good team, and its performance is far superior to other competitors in terms of the efficiency of sending cargo into orbit, but even so, the team still believes that the related projects are very challenging.
Musk's companies themselves are also actively expanding their AI infrastructure. According to reports, its Colossus supercomputer was completed in just 122 days, and was later expanded to 200,000 Nvidia H100 GPUs, with long-term plans to move towards 1 million GPUs. Musk has also said that Colossus 2 may deploy more than 1.2 million Huida GB200 and GB300 chips in the future.
In addition, Tesla also continues to expand its internal AI computing facilities. According to the second quarter filing, Cortex 1 and Cortex 2 in Texas already have more than 205MW (million watts) of computing facility capacity, and plan to further expand before the end of the year.
Musk’s AI infrastructure layout even extends to space. SpaceX believes that future orbital data centers can use solar energy, radiant heat dissipation and Starlink laser communications to avoid some of the land, power grid and cooling constraints faced by ground data centers.
However, space data centers also face serious challenges. "Reuters" quoted experts in April this year as pointing out that the space data center may face engineering and economic problems such as extremely high launch costs, heat dissipation difficulties, limited hardware upgrades, and harsh space environments.
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Open Questions
- Can the space data center overcome the limitations of heat dissipation and hardware upgrades in actual operations?
- When will the AI infrastructure expansion plans of Musk’s companies reach their long-term planning goals?
- When will the pressure on the AI credit market ease?







