輝達 (NVDA) 2021 Q3 法說會逐字稿

Good afternoon. My name is Jason, and I will be your conference operator today. At this time, I would like to welcome everyone to NVIDIA's third quarter financial results conference call. (Operator Instructions) Simona Jankowski, you may begin your conference.

午安.我叫傑森，今天我將擔任您的會議主持人。現在，我歡迎大家參加NVIDIA第三季財務業績電話會議。（操作員指示）西蒙娜·揚科夫斯基，您可以開始會議了。

Thank you. Good afternoon, everyone, and welcome to NVIDIA's conference call for the third quarter of fiscal 2021. With me on the call today from NVIDIA are Jensen Huang, President and Chief Executive Officer; and Colette Kress, Executive Vice President and Chief Financial Officer.

謝謝。大家下午好，歡迎參加NVIDIA 2021財年第三季電話會議。今天與我一起參加電話會議的還有 NVIDIA 總裁兼執行長黃仁勳；以及執行副總裁兼財務長 Colette Kress。

I'd like to remind you that our call is being webcast live on NVIDIA's Investor Relations website. The webcast will be available for replay until the conference call to discuss our financial results for the fourth quarter of fiscal 2021.

我想提醒您，我們的電話會議正在 NVIDIA 的投資者關係網站上進行網路直播。網路直播將可重播，直至電話會議討論我們 2021 財年第四季的財務表現。

The content of today's call is NVIDIA's property. It can't be reproduced or transcribed without our prior written consent.

今天電話會議的內容屬於 NVIDIA 的財產。未經我們事先書面同意，不得複製或轉錄。

During this call, we may make forward-looking statements based on current expectations. These are subject to a number of significant risks and uncertainties, and our actual results may differ materially. For a discussion of factors that could affect our future financial results and business, please refer to the disclosure in today's earnings release, our most recent forms 10-K and 10-Q and the reports that we may file on Form 8-K with the Securities and Exchange Commission.

在本次電話會議中，我們可能會根據目前預期做出前瞻性陳述。這些都受到許多重大風險和不確定性的影響，我們的實際結果可能會有重大差異。有關可能影響我們未來財務表現和業務的因素的討論，請參閱今天的收益報告中的披露內容、我們最新的 10-K 和 10-Q 表格以及我們可能向美國證券交易委員會提交的 8-K 表格報告。

All our statements are made as of today, November 18, 2020, based on information currently available to us. Except as required by law, we assume no obligation to update any such statements.

我們所有的聲明都是根據我們目前掌握的資訊截至 2020 年 11 月 18 日做出的。除法律要求外，我們不承擔更新任何此類聲明的義務。

During this call, we will discuss non-GAAP financial measures. You can find a reconciliation of these non-GAAP financial measures to GAAP financial measures in our CFO commentary, which is posted on our website.

在本次電話會議中，我們將討論非公認會計準則財務指標。您可以在我們網站上發布的 CFO 評論中找到這些非 GAAP 財務指標與 GAAP 財務指標的對帳表。

With that, let me turn the call over to Colette.

說完這些，讓我把電話轉給科萊特。

Thank you, Simona.

謝謝你，西蒙娜。

Q3 was another exceptional quarter with record revenues of $4.73 billion, up 57% year-on-year, up 22% sequentially and well above our outlook. Our new NVIDIA Ampere GPU architecture is ramping with excellent demand across our major market platforms.

第三季是另一個出色的季度，營收創歷史新高，達到 47.3 億美元，年成長 57%，季增 22%，遠高於我們的預期。我們全新的 NVIDIA Ampere GPU 架構正在各主要市場平台上快速發展，需求旺盛。

Q3 was also a landmark quarter both for us and the industry as a whole as we announced plans to acquire Arm from SoftBank for $40 billion. We are incredibly excited about the combined company's opportunities, and we are working through the regulatory approval process. For today, we will focus our remarks on our quarterly performance.

第三季對我們和整個產業來說都是具有里程碑意義的一個季度，因為我們宣布了以 400 億美元從軟銀收購 Arm 的計畫。我們對合併後公司的機會感到無比興奮，並且正在努力完成監管審批流程。今天，我們將重點談論我們的季度業績。

Starting with Gaming. Revenue was a record $2.27 billion, up 37% year-on-year, up 37% sequentially and ahead of our high expectations. Driving strong growth was our new NVIDIA Ampere architecture-based GeForce RTX 30 Series of gaming GPUs. The GeForce RTX 3070, 3080 and 3090 GPUs offer up to 2x the performance and 2x the power efficiency over the previous Turing-based generation. Our second-generation NVIDIA RTX combines ray tracing and AI to deliver the greatest ever generational leap in performance.

從遊戲開始。營收達到創紀錄的 22.7 億美元，年增 37%，環比成長 37%，超出了我們的高預期。推動強勁成長的是我們基於 NVIDIA Ampere 架構的全新 GeForce RTX 30 系列遊戲 GPU。與上一代基於 Turing 的 GPU 相比，GeForce RTX 3070、3080 和 3090 GPU 的效能和能源效率分別提高了 2 倍和 2 倍。我們的第二代 NVIDIA RTX 結合了光線追蹤和 AI，實現了效能方面最大的飛躍。

First announced on September 1 and ranging in price from $499 to $1,499, these GPUs have generated amazing reviews and overwhelming demand. PC World called them "staggeringly powerful" while Newegg cited "more traffic than Black Friday." Many of our retail and Etail partners sold out instantly. The RTX 30 series drove our biggest ever launch.

這些 GPU 於 9 月 1 日首次發布，價格從 499 美元到 1,499 美元不等，獲得了驚人的評價和巨大的需求。PC World 稱其為“功能強大”，而 Newegg 則稱其“流量比黑色星期五還大”。我們的許多零售和電子零售合作夥伴的產品立即銷售一空。RTX 30 系列推動了我們迄今為止規模最大的產品發布。

While we had anticipated strong demand, it exceeded even our bullish expectations. Given industry-wide capacity constraints and long cycle times, it may take a few more months for product availability to catch up with demand.

雖然我們預期需求強勁，但實際需求甚至超越了我們的樂觀預期。鑑於整個產業的產能限制和較長的周期時間，產品供應可能還需要幾個月的時間才能滿足需求。

In addition to the NVIDIA Ampere GPU architecture, we announced powerful new tools for gamers as well as for tens of millions of live streamers, broadcasters, eSports professionals, artists and creators. NVIDIA Reflex is a new technology that improves reaction time in games, reducing system latency by up to 50%. NVIDIA Reflex is being integrated into popular eSports games such as Apex Legends, Call of Duty: Warzone, Fortnite and Valorant.

除了 NVIDIA Ampere GPU 架構之外，我們還為遊戲玩家以及數千萬直播主播、廣播員、電競專業人士、藝術家和創作者發布了強大的新工具。NVIDIA Reflex 是一項新技術，可提高遊戲的反應時間，將系統延遲降低高達 50%。NVIDIA Reflex 正被整合到《Apex Legends》、《決勝時刻：戰區》、《要塞英雄》和《Valorant》等熱門電競遊戲中。

NVIDIA Broadcast is a universal plug-in for videoconferencing and live streaming applications that enhances the quality of microphones, speakers and webcams with NVIDIA AI effects such as audio noise removal, virtual background effects and webcam audio frame. With it, remote workers and live streamers can turn any room into a broadcast studio.

NVIDIA Broadcast 是一款用於視訊會議和直播應用程式的通用插件，它透過 NVIDIA AI 效果（例如音訊降噪、虛擬背景效果和網路攝影機音訊幀）提高麥克風、揚聲器和網路攝影機的品質。有了它，遠端工作人員和直播主播可以將任何房間變成廣播室。

Blockbuster games continue to adopt NVIDIA's RTX ray tracing and AI technology. At the games announced at Fortnite, which has more than 350 million players worldwide, it's adding NVIDIA RTX real-time ray tracing, NVIDIA DLSS AI super-resolution and NVIDIA Reflex, making the game more beautiful and even more responsive.

大片遊戲不斷採用NVIDIA的RTX光線追蹤和AI技術。在全球擁有超過 3.5 億玩家的 Fortnite 遊戲中，它添加了 NVIDIA RTX 即時光線追蹤、NVIDIA DLSS AI 超解析度和 NVIDIA Reflex，使遊戲更加精美，響應速度更快。

Other major new titles featuring RTX this holiday season includes Watch Dogs: Legions, Call of Duty: Black Ops Cold War and much anticipated Cyberpunk 2077.

這個假期採用 RTX 的其他主要新遊戲包括《看門狗：軍團》、《決勝時刻：黑色行動冷戰》和備受期待的《Cyber​​punk 2077》。

Gaming laptop demand was also strong with double-digit year-on-year growth for the 11th quarter in a row. NVIDIA GeForce laptops support the most demanding applications for creators and designers, while doubling as a powerful gaming rig by night.

遊戲筆記型電腦的需求也很強勁，連續第 11 個季度實現兩位數年增長。NVIDIA GeForce 筆記型電腦支援創作者和設計師最苛刻的應用程序，同時在夜間還可兼作強大的遊戲裝備。

We also had record gaming console revenue on strong demand for the Nintendo Switch. And we continue to grow our cloud gaming service, GeForce NOW, which has doubled in the past 7 months to reach over 5 million registered users. GeForce NOW is unique as an open platform that connects to popular game stores including Steam, Epic Games and Ubisoft Connect, allowing gamers access to the titles they already own. 750 games are currently available on GFN, the most of any cloud gaming platforms, including 75 free-to-play games, with more games added every Thursday. GFN supports many popular clients including PCs, Macs and Chromebooks. Stay tuned for more devices to come in the near future.

由於 Nintendo Switch 需求強勁，我們的遊戲機收入也創下了新高。我們繼續發展我們的雲端遊戲服務 GeForce NOW，該服務在過去 7 個月內翻了一番，註冊用戶超過 500 萬。GeForce NOW 是一個獨特的開放平台，它連接到 Steam、Epic Games 和 Ubisoft Connect 等熱門遊戲商店，讓遊戲玩家可以存取他們已經擁有的遊戲。GFN 目前提供 750 款遊戲，是所有雲端遊戲平台中最多的，其中包括 75 款免費遊戲，並且每週四都會添加更多遊戲。GFN 支援許多流行的用戶端，包括 PC、Mac 和 Chromebook。敬請期待不久的將來將推出的更多設備。

In addition, GFN's reach continues to expand through our telco partners in a growing list of countries including Japan, Korea, Taiwan, Russia and Saudi Arabia. We are also providing technology that enables the cloud gaming services to an expanding number of partners. Following our earlier announcement with Tencent, Amazon and Facebook are beginning to offer cloud gaming services powered by NVIDIA.

此外，GFN 的業務範圍透過我們的電信合作夥伴不斷擴大，涵蓋日本、韓國、台灣、俄羅斯和沙烏地阿拉伯等越來越多的國家。我們也為越來越多的合作夥伴提供支援雲端遊戲服務的技術。繼我們早些時候與騰訊宣布合作之後，亞馬遜和 Facebook 也開始提供由 NVIDIA 提供支援的雲端遊戲服務。

Moving to Pro Vis. Q3 revenue was $236 million, down 27% year-on-year and up 16% sequentially, ahead of our expectations. Sequential growth was driven by strength in notebooks, which posted record revenue, boosted by work-from-home initiatives and the shift to thin and light mobile workstations. This was particularly offset by a decline in desktop workstations, which continued to be impacted by the pandemic and drove the year-on-year decline.

轉向 Pro Vis。第三季營收為 2.36 億美元，年減 27%，季增 16%，超出我們的預期。連續成長得益於筆記型電腦的強勁表現，受在家工作計畫和向輕薄行動工作站的轉變推動，筆記型電腦的收入創下了歷史新高。這尤其被台式工作站的下降所抵消，台式工作站繼續受到疫情的影響並導致同比下降。

From an industry demand perspective, stronger verticals including health care, public sector, higher education and research and financial services, we continue to win new business in a number of areas. In health care, we added Medtronic for visual surgical applications and Philips for medical imaging. In technology and media and entertainment, we gained wins for design, rendering and broadcast applications. During the quarter, we announced that Omniverse, the world's first 3D collaboration and simulation platform, has entered open beta. Omniverse enables the tens of millions of designers, architects and creators to collaborate real-time on-premises or remotely. Fusing the virtual and physical world, Omniverse brings together NVIDIA breakthroughs in graphics, simulation and AI. It will help enterprises address evolving requirements as workforces become increasingly distributed.

從行業需求角度來看，實力更強的垂直行業包括醫療保健、公共部門、高等教育和研究以及金融服務，我們繼續在多個領域贏得新業務。在醫療保健領域，我們增加了用於視覺手術應用的美敦力公司和用於醫學影像的飛利浦公司。在科技、媒體和娛樂領域，我們在設計、渲染和廣播應用方面取得了勝利。本季度，我們宣布全球首個 3D 協作和模擬平台 Omniverse 已進入公開測試階段。Omniverse 使數千萬設計師、建築師和創作者能夠在本地或遠端進行即時協作。Omniverse 融合了虛擬世界和實體世界，匯集了 NVIDIA 在圖形、模擬和 AI 方面的突破。隨著勞動力日益分散，它將幫助企業滿足不斷變化的需求。

Initial market response from this transformative platform has been phenomenal. Over 400 individual creators and developers in diverse industries have been evaluating Omniverse and early adopters including Ericsson, BMW, Foster + Partners and Lucasfilm.

這項變革平台的初步市場反應非常熱烈。來自不同行業的 400 多名個人創作者和開發者一直在評估 Omniverse 以及愛立信、寶馬、Foster + Partners 和盧卡斯影業等早期採用者。

The pandemic is accelerating development of AR, VR and mixed reality technologies, which will have a profound impact on how we work and play. For example, our work with NASCAR to enable a variety of AR and VR services at the edge is revolutionizing the racing experience for millions of fans across the globe. With our industry-leading real-time ray tracing graphics, AI and simulation hardware and software stacks, NVIDIA is in a unique position to enable the future of blending the physical and virtual worlds.

疫情加速了AR、VR和混合實境技術的發展，這將對我們的工作和娛樂方式產生深遠的影響。例如，我們與 NASCAR 合作，在邊緣提供各種 AR 和 VR 服務，徹底改變全球數百萬車迷的賽車體驗。憑藉我們業界領先的即時光線追蹤圖形、AI 和類比硬體和軟體堆疊，NVIDIA 在實現未來物理世界和虛擬世界融合方面擁有獨特的優勢。

Moving to Automotive. Q3 revenue was $125 million, down 23% year-on-year and up 13% sequentially. Sequential growth was driven by a recovery in global automotive production volumes as well as continued growth in AI cockpit revenue. The year-on-year decline was due to the expected ramp down of legacy infotainment revenue.

轉向汽車產業。第三季營收為 1.25 億美元，年減 23%，季增 13%。連續成長的動力源自於全球汽車產量的復甦以及人工智慧座艙收入的持續成長。年比下降是由於預期傳統資訊娛樂收入將下降。

In September, Mercedes-Benz debuted its redesign of S-Class sedan featuring an all-new NVIDIA-powered MBUX AI cockpit system with an augmented reality heads-up display, AI voice assistant and rich interactive graphics to enable every passenger in the vehicle to enjoy personalized intelligent features. Also in September, Li Auto, a leading electric car brand in China, announced that it will develop its next generation of vehicles using the software-defined NVIDIA Drive AGX Orin platform. Orin delivers nearly 7x the performance and 3x the energy efficiency of our previous generation SSC, making it uniquely capable to power next-generation autonomous electric vehicles. We have excellent traction with EV start-ups.

9月，賓士推出重新設計的S-Class轎車，搭載全新NVIDIA驅動的MBUX AI駕駛艙系統，配備擴增實境平視顯示器、AI語音助理和豐富的互動式圖形，讓車內每位乘客都能享受個人化的智慧功能。同樣在9月，中國領先的電動車品牌理想汽車宣布，將使用軟體定義的NVIDIA Drive AGX Orin平台開發其下一代汽車。Orin 的性能幾乎是上一代 SSC 的 7 倍，能源效率是上一代的 3 倍，使其能夠為下一代自動駕駛電動車提供動力。我們與電動車新創公司有著良好的合作關係。

Finally, last week, NVIDIA and Hyundai Motor Group announced that the automaker's entire lineup of Hyundai, Kia and Genesis models will come standard with NVIDIA DRIVE in-vehicle infotainment systems starting in 2022. This feature-rich software-defined computing platform will allow vehicles to be perpetually upgraded with the latest AI cockpit features.

最後，上週，NVIDIA 和現代汽車集團宣布，從 2022 年開始，該汽車製造商的現代、起亞和 Genesis 車型全線將標配 NVIDIA DRIVE 車載資訊娛樂系統。這個功能豐富的軟體定義運算平台將允許車輛不斷升級最新的人工智慧駕駛艙功能。

Now moving to Data Center. Revenue was a record $1.9 billion, up 162% year-over-year and up 8% sequentially. Driving growth was the strong ramp of our A100-based platforms, continued growth with Mellanox and record T4 shipments for inference. Let me give you a little bit of color on each.

現在轉移到資料中心。營收達到創紀錄的 19 億美元，年增 162%，季增 8%。推動成長的是我們基於 A100 的平台的強勁成長、Mellanox 的持續成長以及創紀錄的 T4 推理出貨量。讓我對每種情況進行一些簡要的說明。

Our new NVIDIA Ampere architecture gained further adoption by cloud and hyperscale customers and started ramping into vertical industries. Over the past weeks, Amazon Web Services, Oracle Cloud Infrastructure and Alibaba Cloud announced general availability of the A100 following Google Cloud Platform and Microsoft Azure. A100 adoption by vertical industries drove strong growth as we began shipments to server OEM partners, whose broad enterprise channels reach a large number of end customers.

我們的全新 NVIDIA Ampere 架構得到了雲端和超大規模客戶的進一步採用，並開始進入垂直產業。過去幾週，繼Google雲端平台和微軟 Azure 之後，亞馬遜網路服務、甲骨文雲端基礎設施和阿里雲端宣布全面推出 A100。隨著我們開始向伺服器 OEM 合作夥伴出貨，垂直產業採用 A100 推動了強勁成長，這些合作夥伴的廣泛企業管道覆蓋了大量的最終客戶。

We also ramped the DGX A100 server and began shipping NVIDIA DGX SuperPOD, the first turnkey AI infrastructure. These range from 20 to 140 DGX A100 systems interconnected with Mellanox's HDR InfiniBand networking and enable customers to install incredibly powerful AI supercomputers in just a few weeks' time. In fact, we have announced plans to build an 80-node DGX SuperPOD with 400 petaflops of AI performance called Cambridge-1, which will be in the U.K.'s fastest AI supercomputer that will be used by NVIDIA researchers for collaborative research within the U.K.'s AI and health care community across academia, industries and start-ups. It joins other systems in NVIDIA's complex of AI supercomputers powered by our R&D and autonomous vehicles, conversational AI, robotics, graphics, HPC and other domains. This includes Selene, now the world's fifth fastest supercomputer and fastest commercial supercomputer, and the new NVIDIA DGX SuperPOD, which ranks first on the Green500 list of the world's most energy-efficient supercomputers.

我們也推出了 DGX A100 伺服器，並開始發售首個交鑰匙 AI 基礎架構 NVIDIA DGX SuperPOD。這些系統包括 20 到 140 個 DGX A100 系統，與 Mellanox 的 HDR InfiniBand 網路互連，使客戶能夠在短短幾週內安裝功能極其強大的 AI 超級電腦。事實上，我們已經宣布計劃建造一個名為 Cambridge-1 的 80 節點 DGX SuperPOD，其 AI 性能為 400 petaflops，它將成為英國最快的 AI 超級計算機，NVIDIA 研究人員將使用它在英國的 AI 和醫療保健社區內開展跨學術界、工業界和新創企業的合作研究。它加入了由我們的研發和自動駕駛汽車、會話式人工智慧、機器人、圖形、高效能運算和其他領域提供支援的 NVIDIA 人工智慧超級電腦綜合體中的其他系統。其中包括目前全球速度第五快的超級電腦和速度最快的商用超級電腦 Selene，以及在全球最節能的超級電腦 Green500 榜單中排名第一的全新 NVIDIA DGX SuperPOD。

A great example of the tremendous opportunities for AI and health care is our new partnership with GSK for applying computational to the drug and vaccine discovery process. GSK's London-based AI hub will utilize biomedical data, AI methods and advanced computing platforms to unlock genetic and clinical data with increased precision and scale.

我們與葛蘭素史克建立的新合作關係將計算技術應用於藥物和疫苗研發過程，這是人工智慧和醫療保健領域巨大機會的一個很好的例子。葛蘭素史克位於倫敦的人工智慧中心將利用生物醫學數據、人工智慧方法和先進的計算平台，以更高的精度和規模解鎖遺傳和臨床數據。

In addition to this investment in NVIDIA's DGX A100 system, GSK will have access to NVIDIA's Cambridge-1, the NVIDIA Clara Discovery software and NVIDIA scientists.

除了對 NVIDIA DGX A100 系統的投資外，GSK 還將能夠使用 NVIDIA 的 Cambridge-1、NVIDIA Clara Discovery 軟體和 NVIDIA 科學家。

In Q3, the A100 swept the industry standard MLPerf benchmark for AI inference performance following our sweep in the prior quarter's MLPerf benchmark for AI training. Notably, our performance lead in AI inference actually extended compared with last year's benchmark. For example, in the ResNet-50 test for image recognition, our A100 GPU beat CPU-only system by 30x this year versus 6x last year. Additionally, A100 outperformed CPUs by up to 237x in the newly added recommender test, which represents some of the most complex and widely used AI models on the Internet.

繼上一季橫掃 AI 訓練的 MLPerf 基準測試之後，A100 在第三季度又橫掃了 AI 推理性能的行業標準 MLPerf 基準測試。值得注意的是，與去年的基準相比，我們在人工智慧推理方面的效能領先優勢實際上有所擴大。例如，在影像辨識的 ResNet-50 測試中，我們的 A100 GPU 今年的表現比僅使用 CPU 的系統高出 30 倍，而去年則高出 6 倍。此外，在新增的推薦器測試中，A100 的表現比 CPU 高出 237 倍，這代表了網路上一些最複雜且使用最廣泛的 AI 模型。

Our winning performance in AI inference is translating to continued strong revenue growth. Alongside the continued ramp of the A100, T4 sales set a record as the NVIDIA AI inference adoption is in full throttle. We estimate that NVIDIA's installed GPU capacity for inference across the 7 largest public clouds now exceeds that of the aggregate CPU capacity in the cloud, a testament to the tremendous performance and TCO advantage of our GPUs. Hundreds of companies now operate AI-enabled services on NVIDIA's inference platform, including the A100 or T4 GPU and our Triton Inference serving software. For example, Tencent uses NVIDIA AI inference to recommend videos, music, news and apps, supporting billions of queries per day. Microsoft uses NVIDIA AI inference for grammar correction in Microsoft Office, supporting 0.5 trillion queries a year. And American Express uses it for real-time fraud detection.

我們在人工智慧推理領域的成功表現轉化為持續強勁的收入成長。隨著 A100 的持續成長，NVIDIA AI 推理應用正在全面推進，T4 的銷售量創下了紀錄。我們估計，NVIDIA 在 7 個最大的公有雲中安裝的用於推理的 GPU 容量現在已經超過了雲端中的總 CPU 容量，這證明了我們的 GPU 的巨大效能和 TCO 優勢。目前，數百家公司在 NVIDIA 的推理平台上營運支援 AI 的服務，包括 A100 或 T4 GPU 和我們的 Triton 推理服務軟體。例如，騰訊使用 NVIDIA AI 推理推薦影片、音樂、新聞和應用程序，每天支援數十億次查詢。微軟在 Microsoft Office 中使用 NVIDIA AI 推理進行語法修正，每年支援 0.5 兆次查詢。美國運通使用它來進行即時詐欺檢測。

We also gave tremendous traction in supercomputing. We announced that NVIDIA technology, including Ampere architecture GPUs and HDR InfiniBand networking, will power 5 systems awarded by Euro HPC, a European initiative to build exascale supercomputing. This includes Cineca, a university consortium in Italy and one of the world's most important supercomputing centers, which will use NVIDIA's accelerated computing platform to build the world's fastest AI supercomputer. Cineca's supercomputer named Leonardo advances the age of exascale AI, delivering 10 exaflops of AI performance to enable AI and high-performance computing converge application use cases. It is built with nearly 14,000 NVIDIA Ampere architecture-based GPUs and Mellanox HDR 200-gigabit per second InfiniBand networking. And just released top 500 list of supercomputers show that NVIDIA GPUs or networking powered nearly 70% and 8 of the 10 top supercomputers on the list.

我們也在超級計算領域取得了巨大的進展。我們宣布，NVIDIA 技術（包括安培架構 GPU 和 HDR InfiniBand 網路）將為歐洲 HPC（一項旨在建立百億億次超級運算的歐洲計畫）授予的 5 個系統提供支援。其中包括義大利大學聯盟、全球最重要的超級運算中心之一Cineca，該聯盟將利用NVIDIA的加速運算平台，打造全球最快的AI超級電腦。Cineca 的超級電腦 Leonardo 推動了數百億億次人工智慧時代的發展，提供了每秒 10 百億億次浮點運算的人工智慧效能，使人工智慧和高效能運算能夠融合應用用例。它採用近 14,000 個基於 NVIDIA Ampere 架構的 GPU 和 Mellanox HDR 200 千兆每秒 InfiniBand 網路建置。剛發布的超級電腦 500 強榜單顯示，榜單上前 10 台超級電腦中，近 70% 的超級電腦以及 8 台超級電腦都採用了 NVIDIA GPU 或網路技術。

Mellanox had another record quarter with double-digit sequential growth well ahead of our expectations, contributing 13% of overall company revenue. The upside reflected sales to a China OEM that will not recur in Q4. As a result, we expect a meaningful sequential revenue decline for Mellanox in Q4, though still growing 30% from last year. Mellanox reached record revenue in both InfiniBand and Ethernet driven by cloud, enterprise and supercomputing customers. Strong demand for high-performance interconnects where Mellanox is a leader is being fueled by AI and increasingly complex applications which demand faster, smarter, lower scalable networks. As the data center becomes the new unit of computing in the age of AI, Mellanox networking is foundational to modern scale-out architectures.

Mellanox 再創季度紀錄，實現了兩位數的連續成長，遠遠超出了我們的預期，為公司整體收入貢獻了 13%。這一增長反映了對中國 OEM 的銷售在第四季度不會再次出現。因此，我們預計 Mellanox 第四季的營收將較上季大幅下降，但仍比去年成長 30%。在雲端運算、企業和超級運算客戶的推動下，Mellanox 在 InfiniBand 和乙太網路領域的收入均創下了歷史新高。人工智慧和日益複雜的應用程式推動了對高效能互連的強勁需求，Mellanox 是其中的領導者，這些應用程式需要更快、更聰明、可擴展性更低的網路。隨著資料中心成為人工智慧時代的新運算單元，Mellanox 網路成為現代橫向擴展架構的基礎。

At GTC in October, we unveiled the BlueField-2 DPU, or data processing unit, a new kind of processor which offloads critical networking, storage and security task from the CPU. A single BlueField 2 DPU can deliver the same data center services that consume up to 125 CPU cores. This frees up valuable CPU cores to run a wide range of other enterprise applications. In addition, it enables zero trust security features to prevent data breaches and cyberattacks and accelerates overall performance. VMware announced that it will offload, accelerate and isolate its industry leading ESXi Hypervisor with NVIDIA's BlueField-2 DPU, boosting vSphere and data center performance and efficiency.

在十月的 GTC 上，我們推出了 BlueField-2 DPU（資料處理單元），這是一種新型處理器，可從 CPU 卸載關鍵的網路、儲存和安全任務。單一 BlueField 2 DPU 可以提供消耗多達 125 個 CPU 核心的相同資料中心服務。這釋放了寶貴的 CPU 核心來運行各種其他企業應用程式。此外，它還支援零信任安全功能，以防止資料外洩和網路攻擊，並加速整體效能。VMware 宣布將利用 NVIDIA 的 BlueField-2 DPU 卸載、加速和隔離其業界領先的 ESXi Hypervisor，從而提升 vSphere 和資料中心的效能和效率。

We also unveiled our 3-year DPU road map, unifying Mellanox's leading network capabilities with NVIDIA's GPU and the new NVIDIA DOCA, or data center on a chip, architecture, software development kit for building DPU-accelerated applications. We believe that over time, DPUs will ship on millions of servers, unlocking a $10 billion total addressable market. BlueField-2 is sampling now with major hyperscale customers and will be integrated into the enterprise server offerings of major OEMs.

我們也公佈了 3 年 DPU 路線圖，將 Mellanox 領先的網路功能與 NVIDIA 的 GPU 和新的 NVIDIA DOCA（片上資料中心、架構、用於建立 DPU 加速應用程式的軟體開發套件）統一起來。我們相信，隨著時間的推移，DPU 將會出現在數百萬台伺服器上，從而開闢出一個總價值 100 億美元的潛在市場。BlueField-2 目前正在向主要超大規模客戶提供樣品，並將整合到主要 OEM 的企業伺服器產品中。

This was our busy period for product launches. Earlier this week at Supercomputing '20, we announced the new double-capacity A100 80-gigabyte GPUs and DGX systems for organizations to build, train and deploy massive AI models. We also announced the new DGX Station A100, a powerful workgroup server with 4 A100 GPUs and a massive 320-gigabyte GPU memory for data scientists and AI researchers working in offices, research facilities, labs or at home. All these additions to the NVIDIA Ampere architecture family of products will be available early next year.

這是我們產品發布的繁忙時期。本週早些時候，在 Supercomputing '20 上，我們宣布推出新的雙容量 A100 80GB GPU 和 DGX 系統，供各組織建置、訓練和部署大規模 AI 模型。我們還發布了全新的 DGX Station A100，這是一款功能強大的工作組伺服器，配備 4 個 A100 GPU 和 320 GB 的海量 GPU 內存，適用於在辦公室、研究機構、實驗室或家中工作的數據科學家和 AI 研究人員。NVIDIA Ampere 架構系列產品的所有這些新增功能將於明年初上市。

At SC20, we also announced the next-generation NVIDIA Mellanox 400-gigabit per second InfiniBand architecture, getting AI developers and scientific researchers the fastest available networking performance. This doubles data throughput and adds new in-network computing engines to provide additional acceleration. Solutions based on this new architecture are expected to sample in the second quarter of calendar 2021.

在 SC20 上，我們也發布了下一代 NVIDIA Mellanox 400 千兆每秒 InfiniBand 架構，為 AI 開發人員和科學研究人員提供最快的網路效能。這使數據吞吐量加倍，並增加了新的網路內運算引擎以提供額外的加速。基於這種新架構的解決方案預計將於 2021 年第二季推出樣品。

Moving to the rest of the P&L. Q3 GAAP gross margins was 62.6%, and non-GAAP gross margin was 65.5%. GAAP gross margin declined year-on-year, primarily due to charges related to the Mellanox acquisition partially offset by product mix. This sequential increase was driven by the absence of nonrecurring inventory step-up expense related to the Mellanox acquisition.

轉到損益表的其餘部分。第三季 GAAP 毛利率為 62.6%，非 GAAP 毛利率為 65.5%。GAAP 毛利率年減，主要因為與 Mellanox 收購相關的費用被產品組合部分抵銷。這一連續增長是由於沒有與 Mellanox 收購相關的非經常性庫存增加費用。

Non-GAAP gross margins increased by 140 basis points year-on-year, reflecting a shift in product mix with higher Data Center sales, including the contribution from Mellanox. Non-GAAP gross margin was down 50 basis points sequentially, in line with our expectations, driven by product mix.

非公認會計準則毛利率年增 140 個基點，反映了產品結構的變化以及資料中心銷售額的增加，其中包括 Mellanox 的貢獻。非公認會計準則毛利率季減 50 個基點，符合我們的預期，受產品組合的影響。

Q3 GAAP operating expenses were $1.56 billion, and non-GAAP operating expenses were $1.1 billion, up 6% and 42% from a year ago, respectively.

第三季 GAAP 營運費用為 15.6 億美元，非 GAAP 營運費用為 11 億美元，分別比去年同期增加 6% 和 42%。

Q3 GAAP EPS was $2.12, up 46% from a year earlier. And non-GAAP EPS was $2.91, up 63% from a year ago. Q3 cash flow from operations was $1.28 billion.

第三季 GAAP EPS 為 2.12 美元，年增 46%。非公認會計準則每股收益為 2.91 美元，較去年同期成長 63%。第三季經營現金流為12.8億美元。

With that, let me turn to the outlook for the fourth quarter of fiscal 2021. As a reminder, Q4 includes a 14th week, which we expect to be incrementally an addition to revenue and operating expenses.

接下來，讓我來談談 2021 財年第四季的展望。提醒一下，第四季包括第 14 週，我們預計這將逐步增加收入和營運費用。

We expect Gaming to be up sequentially in what is typically a seasonally down quarter as we continue to ramp up our new RTX 30 Series products. We expect Data Center to be down slightly versus Q3.

隨著我們繼續推出新的 RTX 30 系列產品，我們預計遊戲業務在通常為季節性下滑的季度中將環比增長。我們預計資料中心的銷售額將較第三季略有下降。

With that, we expect computing products to grow in the mid-single digits sequentially, more than offset by a sequential decline in Mellanox. We expect continued sequential growth in Auto and Pro Vis though not yet returning to year-on-year growth. And we expect a seasonal decline in OEM.

因此，我們預計計算產品銷量將環比增長中等個位數，但會被 Mellanox 的環比下滑所抵消。我們預計汽車和 Pro Vis 將繼續實現連續成長，但尚未恢復同比成長。我們預期 OEM 會出現季節性下滑。

Revenue is expected to be $4.8 billion, plus or minus 2%. GAAP and non-GAAP gross margins are expected to be 62.8% and 65.5%, respectively, plus or minus 50 basis points.

預計營收為 48 億美元，上下浮動 2%。預計 GAAP 和非 GAAP 毛利率分別為 62.8% 和 65.5%，上下浮動 50 個基點。

GAAP and non-GAAP operating expenses are expected to be approximately $1.64 billion and $1.18 billion, respectively. GAAP and non-GAAP other income and expenses are both expected to be an expense of approximately $55 million.

預計 GAAP 和非 GAAP 營運費用分別約為 16.4 億美元和 11.8 億美元。預計 GAAP 和非 GAAP 其他收入和支出均約為 5,500 萬美元。

GAAP and non-GAAP tax rates are both expected to be 8%, plus or minus 1%, excluding discrete items. Capital expenditures are expected to be approximately $300 million to $325 million. Further financial details are included in the CFO commentary and other information available on our IR website.

預計 GAAP 和非 GAAP 稅率均為 8%，上下浮動 1%，不包括單一項目。預計資本支出約3億至3.25億美元。進一步的財務細節包含在財務長評論和我們 IR 網站上提供的其他資訊中。

In closing, let me highlight upcoming events for the financial community. We'll be virtually attending the Crédit Suisse Technology Conference on November 30; Wells Fargo TMT Summit, December 1; and the UBS TMT Conference on December 7. Our earnings call to discuss the fourth quarter and full year results is scheduled for Wednesday, February 24.

最後，讓我重點介紹一下金融界即將發生的事件。我們將於 11 月 30 日以虛擬方式參加瑞士信貸技術會議；富國銀行 TMT 高峰會，12 月 1 日；以及 12 月 7 日的瑞銀 TMT 會議。我們將於 2 月 24 日星期三舉行收益電話會議，討論第四季度和全年業績。

We will now open the call for questions. Operator, would you please poll for questions?

我們現在開始提問。接線員，請問可以投票詢問嗎？

(Operator Instructions) Your first question comes from the line of John Pitzer from Crédit Suisse.

（操作員指示）您的第一個問題來自瑞士信貸的約翰‧皮策 (John Pitzer)。

Sorry, can you hear me?

抱歉，你聽見我說話嗎？

Yes.

是的。

Congratulations on the solid results. Just Colette, going back to your commentary around Mellanox, it seems like you're guiding the January quarter to about 500 million, which means the core data center business is still growing nicely, call it, 6%, 7% sequentially. I'm just kind of curious when you look at the core data center business, I know there's not a direct correlation to server business, but we're clearly going through a cloud digestion in server and core vertical markets enterprise for servers are weak.

祝賀您取得如此豐碩的成果。就像科萊特，回到您對 Mellanox 的評論，似乎您指導一月份季度的銷售額將達到約 5 億，這意味著核心資料中心業務仍在良好成長，環比成長 6% 或 7%。我只是有點好奇，當你看看核心資料中心業務時，我知道它與伺服器業務沒有直接關係，但我們顯然正在經歷伺服器的雲端消化，而伺服器的核心垂直市場企業很弱。

When you look at your core data center business, do you feel as though that's having an impact and this is sort of the digestion that you saw kind of in late fiscal '20 into -- sorry, fiscal '19 into '20, but you're doing it still growing significantly year-over-year? Or how would you characterize the macro backdrop?

當您審視您的核心資料中心業務時，您是否覺得這正在產生影響，而這就像您在 20 財年末到 20 財年看到的消化過程——抱歉，是從 19 財年到 20 財年，但您的業務仍然在逐年顯著增長？或您如何描述宏觀背景？

Sure. Let me make sure we clarify for those also on the call. Yes, we expect our Data Center revenue in total to be down slightly quarter-over-quarter. The computing products, NVIDIA computing products, is expected to grow in the mid-single digits quarter-over-quarter as we continue the NVIDIA AI adoption and particularly as A100 continues to ramp.

當然。讓我確保我們能為那些參加電話會議的人澄清一下。是的，我們預計資料中心總收入將比上一季略有下降。隨著我們繼續採用 NVIDIA AI，特別是隨著 A100 的持續成長，運算產品（NVIDIA 運算產品）預計將比上一季實現中等個位數成長。

Our networking, our Mellanox networking, is expected to decline meaningful quarter-over-quarter as sales to that China OEM will not recur in Q4, though we still expect the results to be growth of 30% or more year-over-year. The timing of some of this business therefore shifted from Q4 to Q3. But overall, H2 is quite strong.

我們的網絡，我們的 Mellanox 網絡，預計將環比大幅下降，因為對中國 OEM 的銷售在第四季度不會重現，儘管我們仍然預計業績將同比增長 30% 或更多。因此，部分業務的時間從第四季轉移到第三季。但總體來說，H2 相當強勁。

So in referring to overall digestion, the hyperscale business remains extremely strong. We expect hyperscales to grow quarter-over-quarter in computing products as A100 continues to ramp. The A100 continues to gain adoption not only across those hyperscale customers, but again we're also receiving great momentum in inferencing with the A100 and the T4.

因此，從整體消化來看，超大規模業務仍然非常強勁。隨著 A100 的持續發展，我們預計超大規模運算產品將逐季成長。A100 不僅在超大規模客戶中繼續獲得採用，而且我們在 A100 和 T4 的推理方面也獲得了巨大的發展勢頭。

I'll turn it over here to Jensen to see if he has more that he would like to add.

我將把它交給 Jensen，看看他是否還有更多想補充的內容。

Yes. Colette captured it very well. The only thing I would add is our inference initiative is really gaining great momentum. Inference is one of the hardest computer science problems. Compiling these gigantic neural network computational graphs into a target device is really, really -- has proven to be really, really hard. The models are diverse, ranging from vision to language to speech. And there are so many different types of models being created. The model sizes are doubling every couple of months. The latency expectations are increasing all the time -- or latency is decreasing all the time.

是的。科萊特很好地捕捉到了這一點。我唯一想補充的是，我們的推理計劃確實正在獲得巨大的發展勢頭。推理是最難的計算機科學問題之一。將這些巨大的神經網路計算圖編譯到目標設備中真的非常非常困難。事實證明，這真的非常非常困難。模型多種多樣，從視覺到語言到語音。並且有許多不同類型的模型正在創建中。每隔幾個月，模型尺寸就會翻倍。延遲預期一直在增加——或者延遲一直在減少。

And so the pressure on inference is really great. The technology pressure is really great. And our leadership there is really pulling ahead. We're in our seventh generation TensorRT.

所以推理的壓力確實很大。技術壓力確實很大。我們的領導層確實正在領先。我們目前處於第七代 TensorRT。

We, over the course of the last couple of years, developed an inference server. It's called Triton, has been adopted all over the place. We have several hundred customers now using NVIDIA AI to deploy their AI services.

在過去的幾年裡，我們開發了一個推理伺服器。它被稱為 Triton，已被各地採用。我們目前有數百名客戶使用 NVIDIA AI 來部署他們的 AI 服務。

This is the early innings, and I think this is going to be our largest near-term growth opportunity. So we're really firing on all cylinders there, between the A100s ramping in the cloud, A100s beginning to ramp in enterprise, and all of our inference initiatives are really doing great.

現在才剛開始，我認為這將是我們近期最大的成長機會。因此，我們確實在全力以赴，A100 在雲端加速發展，A100 開始在企業中加速發展，我們所有的推理計劃都做得很好。

Jensen, maybe to follow on there, just on the vertical markets, clearly work from home and COVID this year kind of presented a headwind to new technology deployments on-prem. I'm kind of curious, if we expect sort of an enterprise recovery in general next year, how do you think that will translate into your vertical market strategy? And is there anything else above and beyond that you can do to help accelerate penetration of AI into that end market?

詹森，也許可以繼續關注垂直市場，顯然，在家工作和今年的新冠疫情對新技術的內部部署帶來了阻力。我有點好奇，如果我們預計明年企業整體上會出現復甦，您認為這將如何轉化為您的垂直市場策略？除此之外，您還可以做些什麼來幫助加速人工智慧向終端市場的滲透？

Yes. John, that's a good point. I mean the -- it's very clear that the inability to go to work is slowing down the adoption of new technology in some of the verticals. Of course, we're seeing rapid adoption in certain verticals, like for example using AI in health care to rapidly discover new vaccines and early detection of outbreaks and robotic applications. So warehouses, digital retail, last mile delivery, we're just seeing just really, really great enthusiasm around adopting new AI, robotics technology. But in some of the old -- some of the more traditional industries, new capabilities and new technologies are slower to deploy.

是的。約翰，你的觀點很好。我的意思是——很明顯，無法上班正在減緩某些垂直行業採用新技術的速度。當然，我們看到某些垂直領域的應用正在迅速擴大，例如在醫療保健領域使用人工智慧來快速發現新疫苗以及早期發現疫情和機器人應用。因此，在倉庫、數位零售、最後一哩交付方面，我們看到人們對採用新人工智慧和機器人技術的熱情非常高。但在一些較舊的、一些較傳統的行業中，新能力和新技術的部署速度較慢。

One of the areas that I'm really super excited about is the work that we're doing in the remote work and making it possible for people to collaborate remotely. We have a platform called Omniverse. It's in early beta. The feedback from the marketplace has been really great. And so I've got a lot more to report to you guys in the upcoming months around Omniverse.

讓我感到非常興奮的領域之一是我們在遠距工作方面所做的工作，以及讓人們能夠進行遠端協作。我們有一個名為 Omniverse 的平台。目前處於早期測試階段。市場反饋非常好。因此，在接下來的幾個月裡，我還有很多關於 Omniverse 的消息要向大家報告。

And so -- but anyways, I think when the industry recover, we serve -- our fundamental purpose as a company is to solve the greatest challenges that impact the industry where ordinary computers can't. And these challenges are -- serve some of the most important applications in the verticals that we address. And they're not commodity applications. They're really impactful, needle-moving applications. So I have every confidence that when the industries recover, things will get designed. Cars will be designed, and planes will be designed, and ships will be designed, and buildings will be designed. And we're going to see a lot of design, and we're going to see a lot of simulation. We're going to see a lot of robotics applications.

所以——但無論如何，我認為當行業復甦時，我們服務——我們作為一家公司的根本目的是解決影響行業的最大挑戰，而普通計算機無法解決這些挑戰。這些挑戰是——服務於我們所解決的垂直領域中一些最重要的應用。而且它們不是商品應用程式。它們確實是有影響力、具有推動作用的應用程式。因此我完全有信心，當行業復甦時，一切都會得到設計。汽車將被設計，飛機將被設計，船舶將被設計，建築物將被設計。我們將會看到很多設計，也會看到很多模擬。我們將會看到很多機器人應用。

(Operator Instructions) Your next question comes from the line of C.J. Muse from Evercore.

（操作員指示）您的下一個問題來自 Evercore 的 C.J. Muse。

You talked about in your prepared remarks limited availability of capacity components. You suggested perhaps a few months to catch up. Curious if you can speak to the visibility that you have for both Gaming and Data Center into your April quarter.

您在準備好的發言中談到了容量組件的可用性有限。您建議也許需要幾個月的時間才能趕上。我很好奇您是否可以談談您在四月份季度對遊戲和資料中心的了解程度。

Yes. Colette, do you want me to take that real quick and maybe you can help me out?

是的。科萊特，你想讓我快點把它拿走嗎？也許你可以幫我一下？

Yes. Yes, absolutely.

是的。是的，絕對是。

So C.J., first off, we have a lot of visibility into the channel, as you know, especially for Gaming. And we know how many weeks of inventory is in what parts of the channel.

C.J.，首先，如你所知，我們對管道有著很高的了解，尤其是遊戲管道。我們知道通路的哪些部分有多少週的庫存。

We've been draining down the channel inventory for Turing for some time. And meanwhile, we've also expected a very, very successful launch with Ampere. And even with our bullish demand expectation and all of the Amperes that we built, which is one of the fastest ramps ever, the demand is still overwhelming.

一段時間以來，我們一直在減少圖靈的通路庫存。同時，我們也期待 Ampere 的發表會非常成功。即使我們對需求預期很樂觀，而且我們建造的所有 Amperes 都是有史以來最快的坡道之一，但需求仍然非常巨大。

And this, I guess in a lot of ways, is kind of expected. The circumstances are -- it's been a decade since we've invented a new type of computer graphics. 10 years ago, we invented a programmable shader, and it set the industry on a course to create the type of images that we see today.

我想，從很多方面來說，這都是意料之中的事。情況是這樣的——自從我們發明一種新型電腦圖形已經有十年了。10 年前，我們發明了可編程著色器，它為整個行業開闢了創造我們今天所看到的圖像類型的道路。

But it's very clear that the future is going to look something much, much more beautiful, and we invented NVIDIA RTX to do that. And it has 2 capabilities, one based on ray tracing, and the other one's based on artificial intelligence image generation. The combination of those 2 capabilities is creating images that people are pretty ecstatic about. And at this point, it's defined the next-generation content.

但很明顯，未來將會更加美好，我們發明了 NVIDIA RTX 來實現這一點。它有兩種功能，一種基於光線追踪，另一種基於人工智慧圖像生成。這兩種功能的結合創造出了令人們欣喜若狂的圖像。此時，它定義了下一代內容。

And so when we -- it took us 10 years to invent it. We launched it 2 years ago and took our second generation to really achieve the level of quality and performance that the industry really, really expect. And now the demand is just overwhelming. And so we're going to continue to ramp fast, and this is going to be one of our most successful ramps ever. And it gives our installed base of some 200 million-plus GeForce gamers the best reason to upgrade in over a decade. And so this is going to be a very large generation for us is my guess.

因此，我們花了 10 年的時間來發明它。我們兩年前推出了它，第二代產品真正達到了業界真正期望的品質和性能水平。現在的需求已經非常巨大。因此，我們將繼續快速提升，這將是我們有史以來最成功的提升之一。這也為我們超過 2 億的 GeForce 遊戲玩家提供了十多年來最好的升級理由。因此我猜想，對我們來說，這一代人將會變得非常重要。

And then with respect to Data Center, we're ramping into A100. A100 is our first generation of GPUs that does several things at the same time. It's universal. We position it as a universal because it's able to do all of the applications that we in the past had to have multiple GPUs to do. It does training well. It does inference incredibly well. It does high-performance computing. It does data analytics. And so it's able -- the Ampere architecture is able to do all of this at the same time. And so the utilization for data centers is -- and the utility is really, really fantastic. And the reception has been great.

然後就資料中心而言，我們正在進入 A100。A100 是我們第一代可以同時執行多項任務的 GPU。它是通用的。我們將其定位為通用型，因為它能夠完成過去必須使用多個 GPU 才能完成的所有應用程式。訓練效果很好。它的推理能力非常好。它進行高效能運算。它進行數據分析。因此，安培架構能夠同時完成所有這些工作。因此，資料中心的使用率是──而且效用確實非常棒。且反應非常熱烈。

And so we're going to ramp into all of the world's clouds. I think starting this quarter, we're now in every major cloud provider in the world, including Alibaba, Oracle, and of course the giants, the Amazons, the Azure and the Google Clouds. And we're going to continue to ramp into that.

因此，我們將進入全球所有的雲端。我認為從本季開始，我們現在已經進入了全球所有主要雲端供應商的行列，包括阿里巴巴、甲骨文，當然還有巨頭亞馬遜、Azure 和谷歌雲端。我們將繼續努力實現這一目標。

And then of course we're starting to ramp into enterprise, which in my estimation long term will still be the largest growth opportunity for us, turning every industry into an AI, turning every company into AIs and augment it with Al and bringing the iPhone moment to all of the world's largest industries. And so we're ramping into that, and we're seeing a great deal of enthusiasm.

然後我們當然開始進入企業領域，據我估計，從長遠來看，這仍將是我們最大的成長機會，將每個行業變成人工智慧，將每個公司變成人工智慧，並用人工智慧增強它，並將 iPhone 時刻帶到世界上所有最大的行業。因此，我們正在加強開展這項工作，並且看到了極大的熱情。

Your next question comes from the line of Stacy Rasgon from Bernstein Research.

您的下一個問題來自伯恩斯坦研究公司的 Stacy Rasgon。

You said that the extra week was contributing incrementally to revenue and OpEx. Can you give us some feeling for how much is contributing to revenue and OpEx in Q4? And does that impact, at least on the revenue side, differ, say, between like Gaming and Data Center? And then how should we think about it impacting seasonality into Q1 as that extra week rolls off?

您說額外的一周正在逐步增加收入和營運支出。您能否告訴我們第四季度對收入和營運支出的貢獻是多少？那麼，至少在收入方面，這種影響是否有所不同，例如遊戲和資料中心之間？那麼，隨著額外一周的結束，我們應該如何看待它對第一季的季節性影響？

Sure. Let me try this one, Jensen.

當然。讓我試試這個，詹森。

Yes, we've incorporated that 14th week into our guidance for both revenue and OpEx. We will likely have incrementally positive impact on revenue, although it is tough to quantify, okay?

是的，我們已將第 14 週納入收入和營運支出指導中。我們可能會對收入產生逐漸正面的影響，儘管這很難量化，好嗎？

Our outlook also reflects incremental OpEx for Q4 in primarily 2 different areas in terms of compensation and depreciation. And given that our employees are such a material part of our OpEx, it will -- it can be close to 1/14 of the quarter.

我們的展望也反映了第四季度主要在薪酬和折舊兩個不同領域的增量營運支出。鑑於我們的員工是我們營運支出的重要組成部分，它將接近本季的 1/14。

Now when we look a little bit further, we should think about the incremental positive in both Gaming and Data Center from that extra week as there hopefully will be extra supply, but not likely as much as 1/14 of the quarter of revenue as enterprise demand is essentially project-based and gaming demand though is tied to the number of gamings that -- gamers that might be shopping for the overall holiday. So again, still very hard for us to determine at this time.

現在，當我們進一步看時，我們應該考慮額外一周對遊戲和數據中心帶來的增量積極影響，因為希望會有額外的供應，但不太可能達到本季度收入的 1/14，因為企業需求本質上是基於項目的，而遊戲需求與遊戲玩家可能為整個假期購物的遊戲數量有關。所以，目前我們仍然很難做出決定。

Normally, between Q4 and Q1, there is seasonality in Gaming, seasonality downward. But we'll just have to see as we are still supply-constrained within this Q4 to see what that looks like.

通常，在第四季和第一季之間，遊戲產業存在季節性，季節性下降。但我們只需要觀察一下，因為第四季的供應仍然受限，看看情況會如何。

From an OpEx standpoint, we'll probably expect our OpEx to be relatively flattish as we move from Q4 to Q1.

從營運支出的角度來看，我們可能會預期從第四季到第一季我們的營運支出會相對穩定。

Your next question comes from the line of Vivek Arya from Bank of America.

您的下一個問題來自美國銀行的 Vivek Arya。

Congratulations on the strong growth. Jensen, my question is on competition from internally designed products by some of your larger cloud customers, Amazon and Google and others. We hear about competition from time to time, and I wanted to get your perspective. Is this a manageable risk? Is the right way to think that they are perhaps using more of your product in their public cloud, but they are moving to internal products for internal workloads? Just how should we think about this risk going forward?

恭喜您取得強勁成長。詹森，我的問題是關於來自你們一些較大的雲端客戶（亞馬遜、谷歌等）內部設計產品的競爭。我們時常聽到有關競爭的消息，我想了解您的看法。這是一個可控的風險嗎？正確的想法是，他們可能在公有雲中使用更多您的產品，但他們正在轉向內部產品來處理內部工作負載？我們究竟該如何看待未來這項風險？

Thanks, Vivek. Most of the cloud vendors, in fact I believe all of the cloud vendors, use the same infrastructures largely for their internal cloud and external cloud, or have the ability to or largely do. And there's -- the competition, we find to be really good.

謝謝，維韋克。大多數雲端供應商，事實上我相信所有的雲端供應商，都對其內部雲端和外部雲端使用相同的基礎設施，或者有能力或在很大程度上這樣做。我們發現競爭確實很激烈。

And the reason for that is this. It just suggests that acceleration -- makes it very clear that acceleration is the right path forward for training and inference. The vast majority of the world's training models are doubling in size every couple of months, and it's one of the reasons where our demand is so great.

原因如下。這只是表明加速——非常清楚地表明加速是訓練和推理的正確前進道路。世界上絕大多數訓練模式的規模每隔幾個月就會翻一番，這也是我們的需求如此龐大的原因之一。

The second is inference. The vast majority of the world's inference is done on CPUs. And nothing is better than the whole world recognizing that the best way forward is to do inference on accelerators. And when that happens, our accelerator is the most versatile. It's the highest performance. We move the fastest. Our rate of innovation is the fastest because we're also the most dedicated to it. We're the most committed to it, and we have the largest team in the world to it. Our stack is the most advanced, giving us the greatest versatility and performance.

第二是推理。世界上絕大多數的推理都是在 CPU 上完成的。沒有什麼比讓全世界認識到最好的前進方式是在加速器上推理更好的了。當這種情況發生時，我們的加速器是最通用的。這是最高性能。我們行動最快。我們的創新速度是最快的，因為我們也最致力於創新。我們對此最為投入，並且擁有世界上最大的團隊。我們的堆疊是最先進的，為我們提供了最大的多功能性和性能。

And so we see spots of announcement here and there, but they're also our largest customers. And as you know that we're ramping quite nicely at Google, we're ramping quite nicely at Amazon and Microsoft and Alibaba and Oracle and others.

因此，我們到處都能看到公告，但他們也是我們最大的客戶。如你所知，我們在谷歌、亞馬遜、微軟、阿里巴巴、甲骨文和其他公司都取得了良好的發展。

And so I think the big takeaway is that -- and the great opportunity for us if you look at the vast amount of workload, AI workload in the world, the vast majority of it today is still on CPUs. And it's very clear now this is going to be an accelerated workload, and we're the best accelerator in the world. And this is going to be a really big growth opportunity for us in the near term. In fact, we believe it's our largest growth opportunity in the near term, and we're in the early innings of it.

因此，我認為最大的收穫是——如果你看看世界上大量的工作量、人工智慧工作量，你會發現，今天絕大多數的工作量仍然在 CPU 上。現在很明顯，這將是一個加速的工作量，我們是世界上最好的加速器。這對我們來說在短期內將是一個非常大的成長機會。事實上，我們相信這是我們近期最大的成長機會，而且我們正處於初期階段。

Your next question comes from the line of Harlan Sur from JPMorgan.

您的下一個問題來自摩根大通的 Harlan Sur。

Great job on the quarterly execution. The Mellanox networking connectivity business was up 80% year-over-year. I think it was up about 13%, 14% sequentially. And I know there was upside in October from one China customer. But it did grow 70% year-over-year last quarter, and you're still expecting 30% year-over-year growth next quarter. If I remember correctly, I think InfiniBand is about 40% of that business; ethernet cloud is about 60%.

季度執行情況非常好。Mellanox 網路連線業務年增 80%。我認為它環比增長了約 13% 至 14%。我也知道十月有一位中國客戶帶來了好處。但上個季度它確實同比增長了 70%，而且你仍然預計下個季度將同比增長 30%。如果我沒記錯的話，我認為 InfiniBand 約佔該業務的 40%；乙太網路雲端約佔60%。

Jensen, what are the big drivers, especially since we're in the midst of a cloud spending digestion cycle? And I just saw that the team announced their next-gen 400-gig InfiniBand solution, which should drive another strong adoption cycle with your supercomputer customers. When does this upgrade cycle start to fire?

詹森，最大的驅動因素是什麼，特別是當我們正處於雲端運算支出消化週期時？我剛剛看到該團隊宣布了他們的下一代 400 千兆 InfiniBand 解決方案，這將推動超級電腦客戶的另一個強勁的採用週期。這個升級週期什麼時候開始？

Yes. Let's see. Our Data Center business consists of supercomputing centers, which is small, High-performance computing was a much larger part of supercomputing, much larger than supercomputing. And then hyperscale and enterprise, which -- about 50-50.

是的。讓我們來看看。我們的資料中心業務由超級運算中心組成，規模很小，高效能運算是超級運算的很大一部分，比超級運算大得多。然後是超大規模和企業級，大約各佔一半。

The -- of the Data Center business, the accelerated computing part is not very much associated with digestion and others. It's much more associated with workloads and our new product cycles, the TCO that we bring and AI inference, the type of models that the cloud service providers are deploying, whether they're deploying new AI models based on deep learning, and how much of it that we -- how much of those workloads that we've completed the porting to our accelerators and readying it for deployment.

資料中心業務的加速計算部分與消化等沒有太大關聯。它與工作負載和我們的新產品週期、我們帶來的 TCO 和 AI 推理、雲端服務供應商正在部署的模型類型、他們是否正在部署基於深度學習的新 AI 模型以及我們已將多少工作負載移植到我們的加速器並準備好進行部署有密切的關係。

And so those are the factors associated with accelerated computing. It's really about the apps. It's really about the workloads and really driven by AI.

這些就是與加速計算相關的因素。這確實與應用程式有關。這實際上與工作量有關，並且由人工智慧驅動。

On the other hand, the networking part of our business is more connected to CPU business because they're much more broad-based. The networking part of our business is driven by this idea of new hyperscale data center architecture called disaggregation. It's software disaggregation, not necessarily hardware disaggregation. Software disaggregation, where this type of software called Kubernetes orchestrate micro services that are deployed across the data center. So one service, one application, isn't monolithic running on one computer anymore. It's distributed across multiple computers and multiple nodes, so that the hyperscale data centers can more easily scale up and scale out according to the workloads and according to the demand on the data center.

另一方面，我們業務的網路部分與 CPU 業務的連結更為緊密，因為它們的基礎更為廣泛。我們業務的網路部分是由這種稱為分解的新型超大規模資料中心架構的概念所驅動的。這是軟體分解，不一定是硬體分解。軟體分解，其中這種稱為 Kubernetes 的軟體可以協調跨資料中心部署的微服務。因此，一個服務、一個應用程式不再是單獨地在一台電腦上運作。它分佈在多台電腦和多個節點上，以便超大規模資料中心可以根據工作負載和資料中心的需求更輕鬆地擴展和擴大。

And so this disaggregation has caused the networking between the compute nodes to be of all vital importance. And because Mellanox is the lowest-latency, highest-performance, highest-bandwidth network that you can get, that the TCO benefit at the data center scale is really fantastic. And so when they're building out data centers, Mellanox is going to be much more connected to that.

因此，這種分解使得計算節點之間的網路變得至關重要。由於 Mellanox 是您可以獲得的最慢、最高效能、最高頻寬的網絡，因此資料中心規模的 TCO 優勢確實非常顯著。因此，當他們建造資料中心時，Mellanox 將與之建立更緊密的聯繫。

In the enterprise side of it, depending on new CPU cycles, it could affect them. If a CPU cycle were to delay a little bit, it would affect them by a quarter. But if it was a pull-in by a quarter, it would affect them by a pull-in of a quarter.

在企業方面，它可能會對它們產生影響，這取決於新的 CPU 週期。如果 CPU 週期稍微延遲，就會對他們造成四分之一的影響。但如果拉動四分之一，就會對他們產生四分之一的影響。

And so those are kind of the dynamics of it. I think that the net-net of it is that it's a foregone conclusion at this point, that AI is going to be the future of the way software is written. AI is the most powerful technology force of our time, and acceleration is the best path forward. And so that's what drives our computing business. And the networking business has everything to do with the way -- architecture of data centers, cloud data centers, which is architected with micro services now. And that's what foundationally drives their -- our networking business demand. And so we're really well positioned in these 2 fundamental dynamics because, as we know, AI is the future and cloud computing is the future. Both of those dynamics are very favorable to us.

這些就是它的動態。我認為，從目前來看，這已是必然結論，即人工智慧將成為軟體編寫方式的未來。人工智慧是我們這個時代最強大的技術力量，加速發展是最好的前進道路。這就是推動我們計算業務發展的動力。網路業務與資料中心、雲端資料中心的架構方式息息相關，現在這些架構都是採用微服務建構的。這就是從根本上推動他們——我們的網路業務需求的因素。因此，我們在這兩個基本動力方面處於非常有利的地位，因為我們知道，人工智慧是未來，雲端運算是未來。這兩種動態對我們都非常有利。

Your next question comes from the line of Timothy Arcuri from UBS.

您的下一個問題來自瑞銀的 Timothy Arcuri。

I wanted to ask a question that was asked before but in a different way. If I look at the core business excluding Mellanox, the core data center business, it was up about 6% sequentially the past 2 quarters, and your guidance sort of implies up about that much again in January, which is certainly good under some cloud digestion, but of course you have Ampere still ramping as well, which should be a pretty good tailwind. So there seems to be some offsetting factors.

我想問一個以前有人問過的問題，但以不同的方式。如果我看一下不包括 Mellanox 的核心業務，即核心數據中心業務，它在過去兩個季度中環比增長了約 6％，而您的指導暗示 1 月份將再次上漲這麼多，這在某些雲消化的情況下當然是好事，但當然，Ampere 也仍在增長，這應該是一個非常好的順風。因此似乎存在一些抵消因素。

So I guess I wonder if you feel like your core data center revenue is still being constrained right now by some market digestion and kind of how you sort of balance or handicap these 2 factors.

所以我想知道您是否覺得您的核心資料中心收入現在仍然受到一些市場消化的限制，以及您如何平衡或阻礙這兩個因素。

Our growth is -- in the near term is more affected by the cycle time of manufacturing and flexibility of supply. We are in a good shape to -- and all of our supply is -- informs our guidance. But we would appreciate shorter cycle times. We would appreciate more agile supply chains. But the world is constrained at the moment. And so we just have to make the best of it. But even in that condition, we've -- all of that is in our guidance, and we expect to grow.

我們的成長－短期內更多地受到製造週期和供應彈性的影響。我們的情況很好——而且我們所有的供應都為我們的指導提供了資訊。但我們希望週期時間能更短。我們希望擁有更靈活的供應鏈。但目前世界受到限制。所以我們必須盡力而為。但即使在這種情況下，我們也在指導這一切，並且我們期待成長。

Your next question comes from the line of Aaron Rakers from Wells Fargo.

您的下一個問題來自富國銀行的 Aaron Rakers。

Congratulations on the quarter. I wanted to go back to kind of the Mellanox question. I know prior to the acquisition, Mellanox was growing maybe in the mid- to high 20% range. These last 2 quarters, it's grown over 75%.

恭喜本季。我想回到 Mellanox 的問題上。我知道在收購之前，Mellanox 的成長率可能在 20% 左右。過去兩個季度，其成長超過 75%。

I guess the simple question is how do you think about the growth rate for Mellanox going forward? And on that topic, we've started to hear you talk more about BlueField and data processing units. I think in your commentary, you alluded to server OEM design wins incorporating these DPUs.

我想問一個簡單的問題：您如何看待 Mellanox 未來的成長率？關於這個主題，我們開始聽到您更多地談論 BlueField 和資料處理單元。我認為在您的評論中，您提到了伺服器 OEM 設計成功融入了這些 DPU。

What are you looking at? Or when should we think about the DPU business really starting to inflect and become a material driver for the business?

你在看什麼？或者我們何時應該認為 DPU 業務真正開始轉變並成為業務的重要驅動力？

Long term, every computer in the world will be built like a data center, and every node of a data center is going to be a data center in itself. And the reason for that is because we want the attack surface to be basically 0. And today, most of the data centers are only protected as a periphery. But in the future, if you would like cloud computing to be the architecture for everything and every data center is multi-tenant, every data center is secure, then you're going to have to secure every single node. And each one of those nodes are going to be a software-defined networking, software-defined storage, and it's going to have per application security.

從長遠來看，世界上的每台電腦都將像資料中心一樣構建，並且資料中心的每個節點本身都將是一個資料中心。原因在於我們希望攻擊面基本上是 0。而今天，大多數資料中心僅作為外圍受到保護。但在未來，如果您希望雲端運算成為一切的架構，並且每個資料中心都是多租戶的，每個資料中心都是安全的，那麼您將必須保護每個節點的安全性。每個節點都將是一個軟體定義的網路、軟體定義的存儲，並且將具有每個應用程式的安全性。

And so the processing that is -- that it will need to offload the CPU is really quite significant. In fact, we believe that somewhere between 20% to 40% of today's data centers, cloud data centers is the capacity, the throughput, the computational load is consumed running basically the infrastructure overhead.

因此，需要卸載 CPU 的處理確實非常重要。事實上，我們認為，當今資料中心、雲端資料中心的容量、吞吐量和運算負載的 20% 到 40% 基本上是用於運行基礎設施的開銷。

And that's what the DPU is intended -- was designed to do. We're going to offload that, number one. And number two, we're going to make every single application secure. And confidential competing, zero trust computing, that will become a reality.

這就是 DPU 的設計目的。首先，我們要卸下這個擔子。第二，我們要確保每一個應用程式的安全。而機密競爭、零信任計算，都將成為現實。

And so the importance is really quite tremendous. And I believe therefore that every single server in the world will have a DPU inside someday just because we care so much about security and just because we care so much about throughput and TCO. And it's really the most cost-effective way of building a data center. And so I expect our DPU business to be quite large.

因此，其重要性確實非常巨大。因此，我相信，有一天世界上的每一台伺服器都會內建一個 DPU，因為我們非常關心安全性，也因為我們非常關心吞吐量和 TCO。這確實是建造資料中心最具成本效益的方式。因此我預計我們的 DPU 業務將會相當大。

And so that's the reason why we're putting so much energy into it. It's a programmable data center on a chip, think of it that way, a data center infrastructure on a chip. It is the reason why we're working with VMware on taking the operating system in the data center, the software-defined operating system in the data center, putting it on the BlueField. And so this is a very important initiative for us. I'm very excited about it, as you can imagine.

這就是我們投入如此多精力的原因。它是一個晶片上的可程式資料中心，可以這樣想，它是一個晶片上的資料中心基礎設施。這就是我們與 VMware 合作將資料中心的作業系統、軟體定義的作業系統放到 BlueField 上的原因。所以這對我們來說是一項非常重要的措施。你可以想像我對此感到非常興奮。

Your next question comes from the line of Ambrish Srivastava from BMO Capital Markets.

您的下一個問題來自 BMO 資本市場的 Ambrish Srivastava。

Colette, and I apologize if I missed it, but for Mellanox, do you expect it to get back to the growth trajectory on a sequential basis in the April quarter? And I'm assuming that the shortfall in the current quarter is from a pull-in from Huawei.

Colette，如果我錯過了，我很抱歉，但對於 Mellanox，您是否預計它會在 4 月份季度按順序恢復成長軌跡？我認為本季的缺口是由於華為的拉動。

So our impact to our Q4 guidance for Mellanox, yes, is impacted by a sale to a China OEM for Mellanox that will not recur in Q4. And as we look forward into Q1 of April, we're going to take this a quarter at a time and provide thoughts and guidance for that once we turn the corner to the new fiscal year.

因此，我們對 Mellanox 第四季業績指引的影響，是的，受到了 Mellanox 向中國 OEM 銷售的影響，而這筆銷售不會在第四季度再次發生。展望四月份第一季度，我們將逐季討論，並在進入新的財政年度時提供思考和指導。

At the highest level, Colette, I think the -- it's safe to say that high-speed networking is going to be one of the most important things in cloud data centers as we go forward. And the vast majority of the world's data center is still built for the traditional hyper-converged architecture, which is all moving over to micro services-based disaggregate -- software-defined disaggregated architectures. And that journey is still in its early days.

從最高層面來說，科萊特，我認為——可以肯定地說，隨著我們不斷前進，高速網路將成為雲端資料中心最重要的事物之一。世界上絕大多數的資料中心仍然是為傳統的超融合架構而建構的，這些架構正在轉向基於微服務的分解——軟體定義的分解架構。而這趟旅程仍處於初期階段。

And so I fully expect future cloud data centers, all future data centers are going to be connected with high-speed networking inside. They call it east-west traffic. And all of the traffic will be secured. And so imagine building firewalls into every single server. And imagine every single transaction, every single transmission inside the data center to be high speed and fully encrypted.

因此，我完全期待未來的雲端資料中心，所有未來的資料中心都將透過內部高速網路連接。他們稱之為東西交通。所有流量都將受到保護。想像一下在每台伺服器上建立防火牆。想像一下資料中心內的每一次交易、每一次傳輸都是高速且完全加密的。

And so pretty amazing amount of computation is going to have to be installed into future data centers. But that's an accepted requirement now. And I think our networking business, Mellanox, is in the early innings of growth.

因此，未來的資料中心必須安裝相當驚人的計算量。但現在這已成為公認的要求。我認為我們的網路業務 Mellanox 正處於成長初期。

Your final question today comes from the line of William Stein from Truist Securities.

今天的最後一個問題來自 Truist Securities 的 William Stein。

You've given us some pieces of this puzzle, but I'm hoping maybe you can address directly the sort of SKU-by-SKU rollout of Ampere. We know that we didn't have a ton of SKUs last quarter. There were more in this quarter that you just announced. Now you're doing sort of this refresh, it sounds like, with double the memory on the A100.

您已經為我們提供了這個難題的一些線索，但我希望您能直接解決 Ampere 的 SKU 逐一推出問題。我們知道上個季度我們的 SKU 並不多。本季還有更多您剛剛宣布的消息。現在您正在進行這種刷新，聽起來，A100 的內存增加了一倍。

Is the T4 going to be refreshed? And if so, when does that happen? And are there other either systems or chips that are still waiting for the Ampere refresh that could potentially contribute to an extended cycle as we look at the next year?

T4 會更新嗎？如果會的話，什麼時候會發生？是否還有其他系統或晶片仍在等待 Ampere 更新，從而有可能在明年延長週期？

Yes. In terms of the total number of SKUs that we've ramped of Ampere, we're probably somewhere along 1/3 to 1/2 of the SKUs at this point, maybe a little bit less. Yes, it's less.

是的。就我們已增加的 Ampere SKU 總數而言，目前我們大概占到 SKU 的 1/3 到 1/2，也許會少一點。是的，少了。

The way that you could think through it, you could reverse engineer it is like this. You know what our Gaming lineup looks like for desktops. And so traditionally we try to have a new architecture in every single segment. And we've not gone below 499 yet. And so there's a very big part of the marketplace that we're still in the process of addressing.

你可以這樣思考，你可以對它進行逆向工程，就像這樣。您知道我們的桌上型電腦遊戲陣容是什麼樣的。因此，我們傳統上嘗試在每一個領域都採用一種新的架構。而且我們還沒有低於 499。因此，我們仍在解決很大一部分市場問題。

And then the second thing is laptops. None of those -- none of the Ampere architecture has launched for laptops.

第二件事是筆記型電腦。這些都不是——沒有任何一款 Ampere 架構產品適用於筆記型電腦。

And then there's workstations. And you do the same thing with desktops workstations and laptops workstations. And none of them -- none of those have gone out yet.

然後還有工作站。您可以對桌上型電腦工作站和筆記型電腦工作站執行相同的事情。但這些都還沒出去。

And then there's data center. In our data center business for cloud, you've seen some of the early versions of it, A100. But then there's cloud computing for graphics. There's cloud gaming. There's enterprise -- edge enterprise applications, enterprise data analytics applications. And so there's a fair number of exciting new products we still have in front of us.

然後是數據中心。在我們的雲端資料中心業務中，您已經看到了它的一些早期版本，A100。但還有圖形雲端運算。有云遊戲。有企業——邊緣企業應用程式、企業數據分析應用程式。因此，我們面前還有大量令人興奮的新產品。

That concludes our Q&A for today. I now turn the call back to Ms. Jankowski for closing remarks.

今天的問答到此結束。現在我請 Jankowski 女士作最後發言。

Actually, that will be for Jensen.

事實上，這是給詹森的。

My apologies.

我很抱歉。

Okay. Thank you. Thank you, Simona.

好的。謝謝。謝謝你，西蒙娜。

This was a terrific quarter. NVIDIA is firing on all cylinders. And the RTX has reinvented graphics and has made real-time ray tracing the standard of next-generation content, creating the best ever reason to upgrade for hundreds of millions of NVIDIA gamers.

這是一個非常棒的季度。NVIDIA 正全力以赴。RTX 徹底改變了圖形技術，使即時光線追蹤成為下一代內容的標準，為數億個 NVIDIA 遊戲玩家創造了最好的升級理由。

AI, where software writes software no humans can, is the most powerful technology force of our time and is impacting every industry. NVIDIA AI again swept MLPerf training and now inference as well, extending our leadership in this important new way of doing computing.

人工智慧，即軟體可以編寫人類無法編寫的軟體，是我們這個時代最強大的技術力量，正在影響著每個產業。NVIDIA AI 再次橫掃 MLPerf 訓練，現在又在推理方面取得突破，擴大了我們在這一重要的新計算方式中的領導地位。

NVIDIA AI's new Triton inference server, a platform that I will speak a lot more about in the future and a lot more frequently because it's important -- and our full stack optimized platform are gaining rapid adoption to operate many of the world's most popular AI-enhanced services, opening a major growth opportunity.

NVIDIA AI 的全新 Triton 推理伺服器是一個我將來會更頻繁地談論的平台，因為它非常重要——而且我們的全端優化平台正在迅速被採用，以運行世界上許多最受歡迎的 AI 增強服務，從而開闢了重大的增長機會。

Data centers are the new unit of computing. Someday, we believe there will be millions of autonomous data centers distributed all over the globe.

資料中心是新的計算單位。我們相信，有一天，全球各地將會出現數百萬個自主資料中心。

NVIDIA's BlueField DPU programmable data center on a chip and our rich software stack will help place AI data centers in factories, warehouses, 5G base stations and even on wheels.

NVIDIA 的 BlueField DPU 片上可程式資料中心和我們豐富的軟體堆疊將協助將 AI 資料中心放置在工廠、倉庫、5G 基地台甚至車輪上。

And with our pending acquisition of ARM, the company that builds the most -- the world's most popular CPU, we will create the computing company for the age of AI, with computing extending from the cloud to trillions of devices.

透過即將收購 ARM（這家生產世界上最受歡迎的 CPU 的公司），我們將創建一家面向人工智慧時代的運算公司，運算範圍從雲端延伸到數兆台設備。

Thank you for joining us today. I wish all of you a happy holidays. And please do stay safe, and I look forward to seeing you guys next time.

感謝您今天加入我們。祝大家節日快樂。請注意安全，期待下次見到你們。

That concludes today's conference call. You may now disconnect.

今天的電話會議到此結束。您現在可以斷開連線。