Tesla Inc.(NASDAQ:TSLA) investors expectedElon Muskto discuss Robotaxis, Optimus and artificial intelligence during the company's second-quarter earnings call. Few likely expected the CEO to pause and publicly thankMicron Technology Inc. (NASDAQ:MU).
特斯拉公司（納斯達克代碼：TSLA）的投資者原本預計埃隆·馬斯克會在公司第二季度業績電話會議上討論Robotaxi、Optimus和人工智慧。很少有人預料到這位首席執行長會突然停頓下來，公開感謝美光科技公司（納斯達克代碼：MU）。
The brief acknowledgment wasn't about courtesy. Instead, it offered a glimpse into what could become one of Tesla's biggest challenges as it ramps up its AI ambitions: securing enough advanced memory to power the next generation of AI infrastructure.
這一簡短的致謝並非出於禮節。相反，它揭示了特斯拉在加速推進其人工智慧雄心過程中可能面臨的最大挑戰之一：獲得足夠先進的內存，以支援下一代人工智慧基礎設施。
An Unexpected Thank-You
一次出人意料的致謝
While discussing Tesla's plans to develop custom AI chips, Musk unexpectedly singled out Micron.
在討論特斯拉開發定製人工智慧晶片的計劃時，Musk意外地點名提到了美光科技。
"I'd actually also like to thank Micron for giving us memory allocation," Musk said before adding that memory pricing has become "pretty insane" as demand continues to surge.
「我實際上還想感謝美光科技為我們分配內存，」Musk說道，並補充稱隨著需求持續激增，內存價格已變得「相當瘋狂」。
Public companies rarely use earnings calls to thank suppliers by name, making the comment stand out amid broader discussions about Tesla's AI roadmap. The comment stood out not just because Tesla CEOs rarely single out suppliers during earnings calls, but because it highlighted an increasingly important part of the AI supply chain: memory.
上市公司很少在業績電話會議中點名感謝供應商，因此這一評論在關於特斯拉人工智慧路線圖的廣泛討論中顯得格外突出。該評論之所以引人注目，不僅因為特斯拉首席執行長極少在業績電話會議中單獨提及供應商，更因為它突顯了人工智慧供應鏈中日益重要的一環：內存。
TSM Got A Shout Out, Too
TSM也獲得了致謝
Later in the call, while discussing Tesla's semiconductor roadmap, Musk broadened his appreciation to includeTaiwan Semiconductor Manufacturing Company Ltd.(NYSE:TSM) andSamsung Electronics Co., Ltd.(OTC:SSNLF) as well.
在電話會議稍後階段，當討論特斯拉的半導體路線圖時，Musk進一步擴大了他的致謝範圍，也包括了台積電（紐約證券交易所代碼：TSM）和三星電子有限公司（場外交易代碼：SSNLF）。
"I think things are going really well on the chip front. Yeah. Again, I'd like to thank TSMC and Samsung, and Micron for their support," he said. The second acknowledgment reinforced Tesla's growing reliance on leading chip suppliers. But it was Micron's earlier, standalone mention that may have been the more revealing clue for investors.
「我認為晶片方面進展非常順利。是的。再次感謝台積電、三星和美光科技的支援，」他表示。第二次致謝進一步凸顯了特斯拉對領先晶片供應商日益增長的依賴。但此前對美光科技的單獨致謝，或許才是對投資者更具啓示意義的線索。
These remarks also highlight a less-discussed part of the AI supply chain. WhileNvidia Corp.'s (NASDAQ:NVDA) graphics processors have become synonymous with artificial intelligence, high-bandwidth memory (HBM) has emerged as another critical component as companies race to build increasingly powerful AI systems.
這些言論還突顯了人工智慧供應鏈中較少被討論的一部分。儘管輝達公司（納斯達克代碼：NVDA）的圖形處理器已成為人工智慧的代名詞，但隨著各家公司競相構建更強大的人工智慧系統，高帶寬內存（HBM）已成為另一項關鍵組件。
Tesla's AI Ambitions Depend On More Than Chips
特斯拉的AI雄心不僅僅依賴於晶片
Musk's comments came as he outlined Tesla's plans for Terafab, a proposed semiconductor development facility designed to accelerate the creation of custom AI chips for Optimus.
Musk在概述特斯拉Terafab計劃時發表了上述言論。Terafab是一座擬建的半導體研發設施，旨在加速為Optimus機器人開發定製AI晶片。
According to Musk, Tesla wants to bring together logic, memory, lithography mask development, packaging and testing under one roof to dramatically shorten chip development cycles. He even suggested he does not believe "such a building exists anywhere on Earth."
據Musk表示，特斯拉希望將邏輯晶片、記憶體器、光刻掩模開發、封裝和測試整合在同一屋簷下，以大幅縮短晶片開發周期。他甚至表示，他認為『地球上目前還沒有這樣的建築』。
That vision, however, depends on access to advanced memory.
然而，這一願景依賴於先進內存的獲取。
Unlike conventional computing workloads, AI systems require enormous amounts of high-speed memory to train and run increasingly sophisticated models. Musk's acknowledgment suggests Tesla is feeling the same supply constraints that have affected much of the AI industry over the past two years.
與傳統計算工作負載不同，AI系統需要大量高速內存來訓練和運行日益複雜的模型。Musk的這番表態表明，特斯拉正感受到過去兩年困擾整個AI行業的相同供應限制。
Why Investors Should Pay Attention
為什麼投資者應予以關注
For investors, Micron's mention may have been one of the most revealing moments of Tesla's earnings call.
對投資者而言，特斯拉業績電話會議上提及美光可能是最具啓示性的時刻之一。
Rather than focusing solely on vehicles or even AI processors, Musk drew attention to another piece of the AI hardware ecosystem that is becoming increasingly difficult to secure.
Musk並未僅僅聚焦於汽車甚至AI處理器，而是將注意力引向AI硬體生態系統中另一個日益難以獲得的關鍵組件。
As Tesla pushes deeper into robotics, autonomous driving and custom AI silicon, the company's competitive advantage may depend not only on designing better chips but also on securing the memory needed to run them. Musk's brief thank-you to Micron served as a reminder that in the AI race, the next bottleneck may not be the processor itself—it could be the memory sitting beside it.
隨著特斯拉在機器人、自動駕駛和定製AI晶片領域不斷深入，公司的競爭優勢可能不僅取決於能否設計出更好的晶片，還在於能否確保運行這些晶片所需的內存供應。Musk對美光簡短的致謝提醒人們，在AI競賽中，下一個瓶頸或許並非處理器本身——而可能是緊鄰它的內存。 (Benzinga)