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traderpow is a trader who is passionate about meme coins and NFTs, preferring high-risk, high-reward operations.
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Vans attributed the data center protests to power shortages, stating that electricity in the United States should be cheap enough not to require metering

U.S. Vice President JD Vance stated at the All-In Summit that U.S. AI data centers are facing increasing opposition, largely because the power supply has not kept up. Residents see data centers being built continuously while their electricity bills are rising, which naturally leads to backlash. He believes the solution is not to build fewer data centers but to increase power generation capacity accordingly.Vance mentioned that the U.S. has not built enough power facilities in the past generation, and in the future, it should pursue a state where "electricity is so cheap that it doesn't need to be metered." He also compared this to China, arguing that the slow growth of power generation in the U.S. in recent years has already affected the development of new industries like AI. "So cheap that it doesn't need to be metered" is an old slogan from the history of U.S. nuclear energy. In 1954, Lewis Strauss, the chairman of the U.S. Atomic Energy Commission, used it to describe the era of cheap electricity brought by atomic energy.The IEA estimates that data centers will contribute to about half of the new electricity demand in the U.S. by 2025; the U.S. Congress is also advancing legislation this week to try to prevent the costs of expanding data centers from being passed on to ordinary households.

first_img Pantera Junior Partner Jay Yu: Computing power may become a commodity asset

Pantera Capital Junior Partner Jay Yu published an article titled "The Rise of Compute Markets," stating that computing power and data center spending have become a trillion-dollar category, but GPU procurement is still mainly done through group chats, over-the-counter brokers, and bilateral agreements. He noted that the financialization of computing power is still in its early stages, constrained by SKU, time, and location, but could become a commodity asset similar to electricity or oil in the next 5 to 10 years. Jay Yu believes that the computing power market may form a "hardware-supplier-cluster" structure similar to the electricity "grid-operator-node," with new cloud vendors being structural shorts on GPUs, while on-demand platforms and application layers are longs.He mentioned that for every $100 spent on inference at the application layer, about $45 flows to the on-demand layer, about $50 flows to the new cloud or GPU layer, and about $5 flows to routing layers like OpenRouter. NVIDIA can be seen as the "central bank" of computing power, having announced support for up to 25% residual value. He also stated that physical delivery has a more enduring moat, and indices, cash-settled exchanges, and financing tools will subsequently emerge, with participants including SF Compute, Vast AI, Runpod, Compute Exchange, and others. The computing power market does not have mandatory price transparency requirements, and basis risk may be greater.

The Ministry of Industry and Information Technology of China plans for intelligent computing power to reach 9800 EFLOPS by 2030

The Ministry of Industry and Information Technology of China released the "14th Five-Year Plan for the Development of the Information and Communication Industry," setting the national intelligent computing power target at 9800 EFLOPS by 2030. According to data from the National Bureau of Statistics, as of the end of July, the national intelligent computing scale was approximately 2450 EFLOPS (FP16), indicating that it needs to expand by about 4 times in the next four years based on this standard.The plan proposes an orderly deployment of intelligent computing clusters with tens of thousands and hundreds of thousands of cards, building inference computing power for different scenarios, and increasing the adaptation of domestic computing power chips. Currently, 52 intelligent computing facilities with more than ten thousand cards have been established nationwide. The Ministry of Industry and Information Technology disclosed that the intelligent computing power scale at the end of June was 2185 EFLOPS, a year-on-year increase of 177%. The plan uses 1590 EFLOPS in 2025 as a benchmark, aiming to reach 9800 EFLOPS by 2030, which is an expansion of about 6.2 times. During the same period, the cumulative investment target for information infrastructure in the information and communication industry is 3.8 trillion yuan, which also includes communication networks and is not all allocated for AI computing power.
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