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first_img Tomasz Tunguz: AI infrastructure exhibits a long tail effect, with bottlenecks gradually transmitting and driving up costs

Venture capitalist Tomasz Tunguz pointed out that the narrative of AI infrastructure resembles a slow relay race, with bottlenecks sequentially transmitting from GPUs to memory, CPUs, and storage, each link freezing the supply chain of the next for years and locking in higher baseline costs. At the beginning of 2023, the GPU shock caused H100 rental prices to exceed $9 per hour, and server shipments fell by 22%; subsequently, manufacturers shifted capacity to HBM, leading to an 80% quarterly increase in enterprise SSD prices and over a 60% rise in DRAM.By the end of 2025, the workload of intelligent agents will push the CPU to GPU ratio to about 1:1, with the average price of server CPUs rising by 27% year-on-year; in 2026, nearline HDD annual capacity will be sold out. The construction cost of data centers has risen to about $20 billion per gigawatt, with orders for long-cycle equipment such as transformers and turbines scheduled as far out as 2029 to 2031.Tunguz referred to this as the long whip effect in the hardware sector: years of manufacturing delays amplify downstream demand shocks upstream, and when pressure is relieved at a certain bottleneck, it will be delayed in transmitting to the next link, with transformers scheduled for delivery in 2027 to 2028, NAND wafer fabs, and turbine production lines potentially facing the risk of overcapacity.

first_img Key components surge in price, PC brands accelerate the introduction of domestic storage from Changchun and Changxin to reduce costs

According to the Industrial and Commercial Times, due to the soaring prices of key components such as memory and SSDs, the cost pressure for configuring high-capacity storage in mainstream laptops has greatly increased. Cost-effective mainland Chinese memory and storage components are gradually penetrating the PC supply chain, with brands such as Lenovo, ASUS, MSI, Gigabyte, Acer, and even the American brand Apple accelerating the certification, introduction, or platform tuning of related products.The report pointed out that Lenovo has expanded its use of mainland components this year, and recently flagship laptop models equipped with Yangtze Memory Technologies (YMTC) SSDs have appeared on North American cross-border e-commerce platforms. The American brand Apple is also reported to be negotiating with the U.S. government to procure Changxin Memory Technologies (CXMT) memory to cope with the rising prices. In terms of Taiwanese board manufacturers, MSI recently announced that it is the first to complete the verification and tuning of Changxin Memory DDR5 chips on the AMD platform at DDR5-8000+, while Gigabyte has also adopted Changxin Memory chips in some motherboard models. ASUS and Acer have introduced memory modules from mainland manufacturers such as BIWIN through their own brand memory certification or OEM models.Industry analysts believe that although the short-term imbalance in supply and demand for storage has prompted non-mainland brands to accelerate related certifications, due to the limited production capacity of mainland manufacturers, brand Taiwanese manufacturers still emphasize that Korean original manufacturers with long-term contracts remain the main supply partners at present.

Data: Bitcoin miners' profit margins continue to be under pressure, with revenue falling below production costs

Bitcoin miner revenue has continued to decline over the past year, with the current 7-day moving average daily income at approximately $30 million, significantly lower than last summer's level of over $50 million. Among this, transaction fees have dropped to less than $250,000 per day, almost negligible compared to block subsidies.Meanwhile, the price of Bitcoin is around $62,500, below JPMorgan's estimated production cost of about $78,000. This state of being below production costs has persisted for five months, the longest duration in this cycle. Historically, production costs are often seen as a soft bottom area for Bitcoin prices. Currently, it is estimated that about 20% of miners are in a loss position at the current price, and the pressure is beginning to reflect at the network level.Over the past six months, the sensitivity of mining difficulty to Bitcoin prices has risen to 0.62, indicating that high-cost miners are increasingly inclined to turn off their mining machines based on price fluctuations rather than continue mining at a loss. In the second week of June, Bitcoin mining difficulty decreased by 10%, marking the second occurrence of a similar magnitude adjustment this year. A comparable adjustment also occurred in the previous quarter, with both instances happening during periods when prices remained below production costs, indicating that pressure on the miner side is deepening.
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