Chart of the Day

Good morning!
One of the major challenges facing contemporary data-center development stems from the heat that all of those cutting edge processors generate. All that heat needs to be dissipated quickly to keep those processors from essentially melting, and that requires a lot of water and a lot of power. In fact, cooling accounts for up to 40% of a hyperscaler’s power usage (though this number is on a downtrend.)
Unintuitively, setting up data centers in the freezing cold of outer space makes the problem significantly harder, not easier. Terrestrial heat dissipation relies on simple conduction and convection: heat energy is transferred to surrounding air or water, which then transfers it to the broader environment – ultimately, the atmosphere. Those freezing temperatures in space are largely irrelevant because in the vacuum of space, there is no receiving medium to begin that initial stage. (This is, by the way, how insulated windows and fancy water bottles work.)
So it was that when Elon Musk announced on Monday that SpaceX SPCX would move the launch of the first “AI1”, its satellite-based data server, to 4Q 2027, with “significant scale” in 2028, my immediate question was: How did Musk and his team solve the challenge of heat dissipation?
It’s important to acknowledge that Musk’s announcement includes the news that AI1 will incorporate a space-optimized Nvidia Vera Rubin NVL72 system. The space version of the NVDA system will reportedly feature a specialized space-focused cooling system. (It will also feature a shock-absorption system to help it survive launch, aggressive redundancies, software-based self-healing, and shielding against cosmic and solar radiation, both of which can degrade semiconductors.)
Still, in the view of some scientists, it is not at all clear that Musk’s team has solved the cooling problem, despite Musk’s own vague and nebulous claim that “SpaceX knows how to do heat rejection in space.” It’s one thing to cool a Starlink satellite, but cooling a satellite that hosts a high-performance Nvidia-powered rack is another beast altogether.
SpaceX is asserting that AI1 cooling will be handled by using an unspecified liquid coolant to carry the heat generated by the chips to a liquid-cooled radiator about 110 m2 (almost 1,200 square feet). The dual-sided radiator, positioned edge side perpendicular to the sun (so that both broad sides are pointed completely away from the sun), will then dissipate the heat energy in the form of infrared light/radiation.
A radiator that size sounds rather sizeable – a one-bedroom apartment in Manhattan with that square footage would be considered comfortable, even spacious. Yet the estimated amount of heat that would be generated by a single standard (Earth-based) Nvidia-powered rack results in up to 150 kW of thermal output, and for a 110 m2 radiator to dissipate it would require 1,400 W/m2 of dissipation. This is a rate roughly 8.4x more efficient than a system using the same principles and concept currently running on the International Space Station.
That doesn’t mean a miraculous technological leap is required, mind you – merely a significant one. Much of this efficiency gap can likely be managed through basic thermodynamics (specifically, the Stefan-Boltzmann law for those readers who like looking at equations). Basically, how much heat the radiator can dissipate rises significantly as the radiator itself gets hotter. Specifically the quantity rises with the fourth power (x4) of its absolute temperature (Kelvin degrees, relative to absolute zero.)
Here’s where SpaceX has a natural, albeit partial, advantage. The ISS radiators are limited by their need to simultaneously keep the station’s internal temperature comfortable for the humans living inside, so their efficiency is capped. However, on the AI1, there will be no humans inside to complain about how scorchingly hot and uncomfortable it is. Thus, if SpaceX can run the AI1’s radiator at roughly 1.7x the temperature being used on the ISS radiator, the math could theoretically work. The ISS radiator runs at 235 degrees Kelvin. Thus, the AI1’s radiator would need to run at 400 degrees Kelvin – roughly 260 degrees F / 127 degrees C.
That is, however, still a big if. For this to happen, the server itself needs to run at hotter than the temperature we just listed. Traditional chips typically do not: high-performance silicon chips become prone to errors once temperatures exceed 185 degrees F (358 degrees K / 85 degrees C), and they start to physically degrade above 221 degrees F (378 degrees K / 105 degrees C). Thus, a big part of the onus rests on Nvidia to design high-performance chips to work in such elevated temperatures – an unusual design requirement for cutting-edge semiconductors. Otherwise, a much larger, heavier radiator will be required, and that would severely disrupt the economics of a space-based server.
Here’s why: The current specs call for AI1 to weigh around 6 metric tons, and at best-case projected internal Starship launch rates of $200/kg, that means the launch itself would be $1.2 million. That weighs against the cost savings from not needing to pay an annual $75,000 electric bill, since the satellite would be solar-powered, and the most optimistically plausible estimated useful lifespan of up to seven years before the chips start to get degraded from the heavy radiation bombardment (while also facing obsolescence). The cost/benefit analysis was thus already leaning heavily on less quantifiable benefits, such as avoiding the increasingly hostile NIMBY attitude communities and local regulators around the world are directing at data center construction, bypassing delays in connecting to an electric grid, and removing the need to deal with state and local authorities.
Increasing the launch costs with a bigger/heavier radiator would make the cost/benefit analysis even more challenging.
That’s not necessarily a bear case for SpaceX. The company still derives a healthy revenue stream from its Starlink satellite Internet service, its commercial launch services, and its government/defense contracts. Furthermore, as my colleague Hardika Singh recently explained, moonshot bets can pay off in unexpected ways, even when the company fails to achieve its primary explicit objectives. Still, the SpaceX team has a massive challenge ahead if it hopes to bring AI1 to a successful conclusion.
SPCX is up 1.9% this week as of Wednesday’s close.
[Note: The back-of-envelope scientific analysis above was simplified significantly for a morning-coffee audience. For those with interest and about half an hour to spare, astrophysicist Scott Manley has a far more detailed discussion on his YouTube channel about this calculation, along with other challenges facing any company hoping to host servers on satellites.]
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Q: Do you think sanctions can help stop the war?
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Catch up with Fundstrat
Nvidia came in solidly with >100% revs growth on ~$100 billion revs, just astounding. And this along with CRM, CRWD reports, should lead to a tech rally. This is consistent with our view that these were clearing events.
Technical
NVDA’s post-earnings fade might not materialize this year given NVDA’s strong 2028 revenue guidance, which might technically drive the stock back to new all-time highs.
Crypto
I previously laid out the case that the market has likely made its lows and that the broader macro regime is beginning to turn more favorable for crypto. Yesterday’s data and price action did little to change that view. Accordingly, we added another 5% of risk across the model portfolios yesterday, taking cash down to 35%.
News We’re Following
Breaking News
- US stock futures climb as Nvidia’s outlook lifts tech sector BBG
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Business
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- After Meta landmark settlement with state AGs, legal headaches remain CNBC
- Chinese state oil giant CNOOC sees potential for US-China energy cooperation REU
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Politics/U.S.
- Khalid Sheikh Mohammed: Trial date set for alleged 9/11 mastermind BBC
- College sports meltdown fuels push on Capitol Hill SEM
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Overseas
- Iceland holds knife-edge referendum on EU – and it could be decided on fish BBC
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Of Interest
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| Date | Time | Description | Estimate | Last |
|---|---|---|---|---|
| 8/28 | 10:00 AM | Aug F UMich 1yr Inf Exp | 4.4 | 4.3 |
| 8/28 | 10:00 AM | Aug F UMich Sentiment | 51 | 51 |
| 9/1 | 9:45 AM | Aug F S&P Manu PMI | n/a | 53.2 |
| 9/1 | 10:00 AM | Jul JOLTS | 7300 | 7359 |
| 9/2 | 10:00 AM | Jul F Durable Gds Orders | n/a | 1.1 |