Google's 8th Gen TPU Splits in Two, Vast Data's Valuation Triples, Maine Enacts Ban on Data Centers. The Money and Gate for AI Infrastructure Are Both in Place.
1 | Google's 8th Gen TPU Splits into Two, "Nvidia Tax," and Agent Era Arrive Simultaneously
Google unveiled its 8th Gen TPU at the Cloud Next conference, splitting training and inference into two independent chips for the first time. TPU 8t is designed for training, with a single supercluster scalable to 9600 chips and 2PB of shared memory, achieving a 2.7x performance improvement per dollar compared to the previous generation Ironwood. TPU 8i is tailored for inference, optimized for low-latency scenarios with large MoE models, delivering around an 80% performance improvement per dollar.
The split itself is a judgment call. The previous seven generations of TPU were all designed for general use, but Google now believes that the inference workload of the Agent era and the training workload are no longer the same type of work. Supporting actions promptly followed: a $750 million partner fund, Agentic Data Cloud data architecture, and Gemini, which can run on standalone offline machines. On the same day, Mira Murati's Thinking Machines Lab signed a multi-billion dollar GB300 chip agreement with Google Cloud. Google continues to develop its own chips while also procuring from Nvidia, keeping both options open.
(Source: TechCrunch / CNBC / Bloomberg / Google)
2 | Day After Ceasefire, Ship Seized and Fired Upon; Helium Shortage Is the True Bottleneck for AI Infrastructure
Less than 24 hours after the ceasefire was extended, the Iranian Revolutionary Guard fired upon three ships in the Strait of Hormuz, seizing two. A Greek cargo ship was hit by a rocket, causing severe damage to the bridge. The White House's response was that it was "not a U.S. or Israeli ship," so it did not violate the ceasefire. Officials testified to Congress that even with a ceasefire, clearing the mines in the strait would take at least six months. (Continued from yesterday's report)
On the same day, Moody's released a rating report shifting focus from oil to helium. After the February missile attack on Qatar's Ras Laffan facility, approximately 30% of global semiconductor-grade helium production capacity is offline. Helium is a critical consumable for cooling silicon wafers in chip manufacturing, with no substitutes. Moody's warned that this poses a potential $650 billion risk, with a five-year facility repair timeline, and the bottleneck is not funds but a global shortage of turbines. While everyone is watching oil prices, the real chokepoint in the AI supply chain is an odorless, colorless inert gas.
(Source: Fortune / Al Jazeera / NPR / Moody's / CSIS)
3 | AI Infrastructure Funding and Policy Align: Vast Data Valuation Triples to $30 Billion, Maine Enacts First U.S. Data Center Ban
AI data infrastructure company Vast Data, led by Nvidia, completes a $1 billion Series F funding round, raising its valuation from $9.1 billion to $30 billion, with total orders exceeding $4 billion. Drive Capital and Access Industries co-led the round, and the company is considering an IPO, which also includes a secondary share sale for employees and early investors.
On the same day, the Maine legislature passed the first statewide AI data center ban in the U.S., prohibiting new data centers larger than 20 megawatts until November 2027. Governor Mills will decide whether to sign the bill by April 25, with the key concern being the lack of an industrial exemption for the struggling town of Jay. As capital floods into AI infrastructure, the first state government door is closing.
(Source: Bloomberg / CNBC / SiliconANGLE / Democracy Now / Maine Morning Star)
4 | Tesla Bounces Back in Q1 Profit, But Autonomous Driving Promise for 4 Million Owners Withdrawn
Tesla reports Q1 revenue of $22.39 billion, a 16% year-over-year increase, with an adjusted EPS of $0.41 surpassing the market's expected $0.34. The gross margin jumped from 16.3% in the same period last year to 21.1%, and FSD subscription users grew by 51% to 1.28 million. The financial figures see a full rebound.
A turning point during the earnings call. Musk admits that about 4 million Tesla vehicles equipped with the HW3 chip cannot achieve unsupervised autonomous driving. The earlier promise of free hardware upgrades has been replaced by a discounted trade-in program, with a V14-lite software update set to roll out by the end of June as compensation. Tesla had long assured these owners that "just one more software update" would enable full self-driving, but this promise is now retracted. The full-year capital expenditure target has been raised from $20 billion to $25 billion, with management explicitly stating that free cash flow will be negative for the remainder of this year. Tesla is transitioning from an electric vehicle company to an AI infrastructure company, and the promise to 4 million legacy owners is part of the transition cost.
(Source: TechCrunch / CNBC / Reuters / Teslarati)
Issue 5 | Battle for Chip Control: South Korea Sentences to 7 Years, US Bill Blocks DUV Lithography Machine
A South Korean court has sentenced a former Samsung researcher to 7 years in prison for leaking the 10nm DRAM manufacturing process to China's ChangXin Memory Technologies (CXMT). The defendant received about $2 million in compensation and stock options, leaking over 600 detailed manufacturing steps. The court deemed this case related to "national core technology," as CXMT used this to accelerate the launch of 10nm-class HBM2 memory ahead of schedule, causing "trillions of Korean won in losses" to South Korea. This is the first conviction following the indictment of 10 former Samsung employees last year.
On the same day, the US House Foreign Affairs Committee reviewed the MATCH Act. The bipartisan bill aims to strip the Department of Commerce of its discretion over the export of DUV lithography machines, shifting export controls from case-by-case approval to a nationwide ban, covering ASML and Nikon's advanced lithography systems. The bill explicitly names five Chinese companies: SMIC, CXMT, Yangtze Memory Technologies, Hua Hong, and Huawei. The Samsung case and the MATCH Act point to the same issue: the control of the chip manufacturing pipeline is shifting from market competition to judicial and legislative actions.
(Source: Tom's Hardware / Reuters / US Senate Foreign Relations Committee)
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