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hot_img SemiAnalysis: SpaceX may complete a 10GW data center by 2027, with expected inference revenue reaching $300 billion

Research institution SemiAnalysis released an analysis stating that SpaceX is expected to build approximately 10GW of AI data center capacity by the end of 2027. If 50% of this is used for inference services, with annual revenue exceeding $10 billion per GW, the annualized revenue could reach $300 billion. SpaceX CEO Elon Musk stated in the first earnings report that a "conservative estimate" suggests an additional 6-8GW will be added in 2027, with the actual figure possibly exceeding 10GW.SemiAnalysis's inference simulator shows that when running on the GB300 cluster at current startup cloud prices (about $3/GPU hour), leading model companies like OpenAI and Anthropic could generate annual inference revenue exceeding $10 billion per GW, with annual costs around $12 billion. Microsoft, with full access to OpenAI models and without bearing training costs, can also capture revenue of the same scale. The analysis points out that Microsoft has signed contracts for 10GW of data centers (total value exceeding $300 billion) since 2026, with a 90-day cancellation clause, significantly reducing signing risks.Regarding SpaceX's construction progress, SemiAnalysis believes Musk will significantly shorten the construction cycle by using onsite gas power generation, bypassing large power transformers, parallel construction, and shortening the debugging process. The Southaven plant in Tennessee expanded from 27 turbines (approximately 495MW) in February to 69 turbines (1.7GW) in July, and the "MiniHard" project can be completed in about 5 months with 450-500MW. However, the 10GW target still faces multiple challenges such as land approvals, gas supply, and equipment delivery. This analysis is based on model simulations, and actual implementation still carries uncertainties.

Starknet completes quantum-resistant signature transfer testing, exploring wallet upgrade paths that do not require migration

Starknet announced that it has completed the quantum-resistant signature transfer test, where a wallet account using a quantum-resistant signature mechanism completed a real transfer on the Starknet mainnet, with a transaction fee of about 6 cents, and can be queried through the block explorer. This account is currently an experimental, unaudited version, mainly used for research testing. StarkWare stated that this transfer benefits from the design of the Starknet account model.Unlike most blockchains that fix the signature algorithm at the protocol layer, each account on Starknet is a smart contract that can autonomously define the accepted signature schemes, allowing users to upgrade their wallets from traditional elliptic curve signatures to quantum-resistant signatures without hard forks, asset migrations, or changing addresses. StarkWare pointed out that most blockchains face quantum computing risks because wallet signatures and underlying verification systems rely on elliptic curve cryptography. Once large-scale quantum computers appear, running Shor's algorithm could potentially break the related encryption systems. Currently, the Starknet ecosystem supports a quantum-resistant signature scheme based on Falcon-512, which is part of the NIST post-quantum cryptography standardization process, with relevant implementations promoted by ecosystem teams and organizations such as OpenZeppelin.

Analysis: Bitcoin's volatility has dropped to a year-to-date low, but the options market is wary of the risk of a pullback

Bitcoin's recent volatility has nearly disappeared, but market risks have not been alleviated. Data shows that there has been no outflow of funds from the spot Bitcoin ETF, with a cumulative net inflow of approximately $754 million. However, the price of Bitcoin remains around $64,700, while the options market is focused on downside protection near $62,000 and $63,000.Market signals are showing divergence: on one hand, demand for spot ETFs is rebounding; on the other hand, derivatives traders are positioning themselves for a potential pullback, especially on the eve of the release of the latest U.S. employment data. However, from the overall position structure, the market still leans bullish. Bitcoin call options account for about 60.7% of total open contracts, indicating that investors' long-term expectations remain positive, although recent trading has been more concentrated on short-term risk hedging. Meanwhile, the cost of volatility protection is at a low level. The DVOL index from Deribit, which reflects the expected volatility of Bitcoin over the next 30 days, is currently around 35, a significant drop from the high of 90 earlier this year, indicating that the market believes the likelihood of significant volatility in the short term is limited.However, U.S. macro data could disrupt this balance. The market expects that non-farm payrolls in the U.S. will increase by about 97,500 in July, up from 57,000 in June, with the unemployment rate expected to remain at 4.2%. If the employment data is stronger than expected, it could push U.S. Treasury yields higher and strengthen expectations for Federal Reserve interest rate hikes; if the data is weak, it could lower yields but also exacerbate concerns about slowing economic growth. Currently, the Bitcoin market shows a pattern of "ETF funds supporting spot, options market guarding against declines," and potential risks in a low-volatility environment still need to be monitored. In a market with low participation and insufficient liquidity, even small changes in supply or demand could lead to significant price fluctuations.
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