The Rubin cabinet was delivered for the first time, and the delivery time exceeded expectations. Let's talk about the impact and benefits. Today, CoreWeave and Dell announced that the world's first NVIDIA Vera Rubin VR200 NVL72 cabinet has been officially delivered and has passed the L11 full cabinet level hardware diagnostic test in one go. This is not just a simple "prototype arrival", but a key milestone for NVIDIA's next-generation AI platform to move from the roadmap to the physical world. Why is the first shipment of Rubin cabinets so important this time? Because it directly verifies the health of the supply chain, the ramp up pace of mass production, and the certainty of the entire AI switching from "training oriented" to "agentic AI+long context reasoning". Let's talk about the meanings and impacts that I am most concerned about: 1. The "deterministic endorsement" of the current industry stage is the Rubin VR200 NVL72 single cabinet, which integrates 72 Rubin GPUs and 36 Vera CPUs. It adopts NVLink 6 fully interconnected, HBM4 memory, and liquid cooling design, and its inference performance reaches the 3.6 exaFLOPS level. This time, CoreWear+Dell was able to obtain QS0 qualification verification samples and pass all L11 by the end of May, indicating that there were no major bottlenecks in the core links of the supply chain such as HBM4, advanced packaging, liquid cooling system, and ultra-high power supply. In the past, Blackwell had some minor issues with memory and cooling in its early days. This time, it passed cleanly, greatly reducing technical risks and dispelling market doubts about whether Rubin would be delayed. The industrial stage is currently in a parabolic upward period of high capital expenditure and simultaneous surge in demand, which is the "Never doubt" moment that Lao Huang likes to see the most. 2. The accelerator effect on the evolution of the AI industry and the true significance of the first shipment are that it locks in the certainty of AI computing power supply in the second half of 2026 in advance. Rubin is designed specifically for agentic AI, intelligent workflow, and ultra long context. Compared to Blackwell, its single cabinet performance has significantly improved (with a single GPU computing capacity of approximately 3.5x and memory bandwidth of 2.8x). This means: 1) The training/inference cost curve will further decline, and the iteration cycle of the trillion parameter model will be shortened; 2) The "model product" closed loop of hyperscalers and AI big model manufacturers will be implemented faster, with stronger computing power and faster iteration. The "multi-step reasoning+external memory bank" will truly be implemented 3) The demand for liquid cooling, power transformation, and room upgrading in data centers will erupt simultaneously. 3. The transmission effect between supply chain and capital expenditure: Rubin uses a huge amount of HBM4 per cabinet (about 20.7TB), coupled with new chips such as NVLink 6 switches, ConnectX-9, BlueField-4, etc., the supply chain pull is full chain: 1) The price and shipment volume of HBM4 from three memory giants (SK Hynix as NVIDIA's main player, Samsung, Micron) will be further pushed up; Previously, here was https://(x.com)/qinbank/status/2057685712645116279? S=46&t=k6rimWs Ebo2D2TXolYcM-A has talked about using HBM more 2) TSMC advanced process+CoPoS advanced packaging orders continue to surge 2) Infrastructure manufacturers such as liquid cooling, power modules, and interconnect components directly benefit; 800V HDC should be a new hot topic. We have discussed in detail here before about 800V HDCHTTPs://((x.com))/qinbank/status/20577395753706022? s=46&t=k6rimWsEbo2D2tXolYcM-A 4. Which parties will be clearly identified as beneficiaries? 1) NVIDIA: Roadmap certainty adds another point, high growth expectations from 2026-2027 are solidified, and Rubin Ultra/Feynman's imagination space is also opened up; 2) Dell+CoreWeave: Once again playing the "world's number one" pioneer, AI server orders and cloud service barriers have significantly increased; CRWV's status as Nvidia's biological son is further validated 3) Supply chain core: TSMC, SK Hynix and other OEM+memory links, with the highest capital expenditure and performance elasticity; 4) Power bottlenecks, liquid cooling, and room power distribution (800v HDC) are all beneficial links. Every 'first delivery' of AI hardware is a recalibration of the industry stage. The early landing of the Rubin cabinet this time is equivalent to locking in the certainty of AI computing power supply in the second half of 2026, and also pushing up the pace of matching capital expenditure with demand again. This article is sponsored by @ bitget_zh, titled 'Bitget Buying US Stocks: Instant Entry, Smooth Trading'