輝達 (NVDA) 2021 Q3 法說會逐字稿

Good afternoon.

下午好。

My name is Jason, and I will be your conference operator today.

我的名字是傑森，今天我將成為您的會議接線員。

At this time, I would like to welcome everyone to NVIDIA's third quarter financial results conference call.

在這個時候，我想歡迎大家參加英偉達第三季度財務業績電話會議。

(Operator Instructions) Simona Jankowski, you may begin your conference.

（操作員說明）Simona Jankowski，你可以開始你的會議了。

Thank you.

謝謝你。

Good afternoon, everyone, and welcome to NVIDIA's conference call for the third quarter of fiscal 2021.

大家下午好，歡迎參加 NVIDIA 2021 財年第三季度電話會議。

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.

NVIDIA 總裁兼首席執行官黃仁勳今天與我通話；和 Colette Kress，執行副總裁兼首席財務官。

I'd like to remind you that our call is being webcast live on NVIDIA's Investor Relations website.

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絡直播。

The webcast will be available for replay until the conference call to discuss our financial results for the fourth quarter of fiscal 2021.

在電話會議討論我們 2021 財年第四季度的財務業績之前，該網絡廣播將可供重播。

The content of today's call is NVIDIA's property.

今天通話的內容是 NVIDIA 的財產。

It can't be reproduced or transcribed without our prior written consent.

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.

在本次電話會議期間，我們可能會根據當前預期做出前瞻性陳述。

These are subject to a number of significant risks and uncertainties, and our actual results may differ materially.

這些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存在重大差異。

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.

有關可能影響我們未來財務業績和業務的因素的討論，請參閱今天的收益發布中的披露、我們最近的 10-K 和 10-Q 表格以及我們可能在 8-K 表格中與證券交易委員會。

All our statements are made as of today, November 18, 2020, based on information currently available to us.

我們所有的聲明都是基於我們目前可獲得的信息，截至今天，即 2020 年 11 月 18 日。

Except as required by law, we assume no obligation to update any such statements.

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.

在本次電話會議中，我們將討論非 GAAP 財務指標。

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.

您可以在我們的 CFO 評論中找到這些非 GAAP 財務指標與 GAAP 財務指標的對賬，該評論發佈在我們的網站上。

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

有了這個，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.

第三季度是另一個特殊的季度，收入達到創紀錄的 47.3 億美元，同比增長 57%，環比增長 22%，遠高於我們的預期。

Our new NVIDIA Ampere GPU architecture is ramping with excellent demand across our major market platforms.

我們新的 NVIDIA Ampere GPU 架構在我們主要市場平台上的需求旺盛。

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.

第三季度對我們和整個行業來說也是一個具有里程碑意義的季度，因為我們宣布計劃以 400 億美元從軟銀收購 Arm。

We are incredibly excited about the combined company's opportunities, and we are working through the regulatory approval process.

我們對合併後公司的機會感到無比興奮，我們正在通過監管審批程序。

For today, we will focus our remarks on our quarterly performance.

今天，我們將重點關注我們的季度業績。

Starting with Gaming.

從遊戲開始。

Revenue was a record $2.27 billion, up 37% year-on-year, up 37% sequentially and ahead of our high expectations.

收入達到創紀錄的 22.7 億美元，同比增長 37%，環比增長 37%，超出了我們的高預期。

Driving strong growth was our new NVIDIA Ampere architecture-based GeForce RTX 30 Series of gaming GPUs.

推動強勁增長的是我們基於 NVIDIA Ampere 架構的全新 GeForce RTX 30 系列遊戲 GPU。

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.

GeForce RTX 3070、3080 和 3090 GPU 的性能和能效是上一代圖靈處理器的 2 倍。

Our second-generation NVIDIA RTX combines ray tracing and AI to deliver the greatest ever generational leap in performance.

我們的第二代 NVIDIA RTX 結合了光線追踪和 AI 技術，實現了有史以來最大的性能飛躍。

First announced on September 1 and ranging in price from $499 to $1,499, these GPUs have generated amazing reviews and overwhelming demand.

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壓倒性的需求。

PC World called them "staggeringly powerful" while Newegg cited "more traffic than Black Friday." Many of our retail and Etail partners sold out instantly.

PC World 稱它們“非常強大”，而 Newegg 則稱其“流量超過黑色星期五”。我們的許多零售和 Etail 合作夥伴立即售罄。

The RTX 30 series drove our biggest ever launch.

RTX 30 系列推動了我們有史以來最大規模的發布。

While we had anticipated strong demand, it exceeded even our bullish expectations.

雖然我們預計需求強勁，但它甚至超出了我們的看漲預期。

Given industry-wide capacity constraints and long cycle times, it may take a few more months for product availability to catch up with demand.

鑑於全行業的產能限制和較長的周期時間，產品供應可能需要幾個月的時間才能趕上需求。

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.

除了 NVIDIA Ampere GPU 架構，我們還為遊戲玩家以及數以千萬計的直播主播、廣播員、電子競技專業人士、藝術家和創作者發布了強大的新工具。

NVIDIA Reflex is a new technology that improves reaction time in games, reducing system latency by up to 50%.

NVIDIA Reflex 是一項新技術，可提高遊戲的反應時間，將系統延遲降低多達 50%。

NVIDIA Reflex is being integrated into popular eSports games such as Apex Legends, Call of Duty: Warzone, Fortnite and Valorant.

NVIDIA Reflex 正在被集成到流行的電子競技遊戲中，例如 Apex Legends、使命召喚：戰區、Fortnite 和 Valorant。

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.

NVIDIA Broadcast 是一款適用於視頻會議和實時流媒體應用的通用插件，可通過 NVIDIA AI 效果（如音頻噪聲消除、虛擬背景效果和網絡攝像頭音頻幀）提高麥克風、揚聲器和網絡攝像頭的質量。

With it, remote workers and live streamers can turn any room into a broadcast studio.

有了它，遠程工作人員和直播者可以將任何房間變成廣播工作室。

Blockbuster games continue to adopt NVIDIA's RTX ray tracing and AI technology.

大片遊戲繼續採用 NVIDIA 的 RTX 光線追踪和 AI 技術。

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.

在全球擁有超過 3.5 億玩家的《堡壘之夜》宣布的遊戲中，它添加了 NVIDIA RTX 實時光線追踪、NVIDIA DLSS AI 超分辨率和 NVIDIA Reflex，使遊戲更加美觀，反應更加靈敏。

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.

這個假日季推出的其他主要 RTX 新遊戲包括《看門狗：軍團》、《使命召喚：黑色行動冷戰》和備受期待的《賽博朋克 2077》。

Gaming laptop demand was also strong with double-digit year-on-year growth for the 11th quarter in a row.

遊戲筆記本電腦的需求也很強勁，連續第 11 個季度實現兩位數的同比增長。

NVIDIA GeForce laptops support the most demanding applications for creators and designers, while doubling as a powerful gaming rig by night.

NVIDIA GeForce 筆記本電腦支持創作者和設計師最苛刻的應用程序，同時在夜間兼作強大的遊戲裝備。

We also had record gaming console revenue on strong demand for the Nintendo Switch.

由於對 Nintendo Switch 的強勁需求，我們還創造了創紀錄的遊戲機收入。

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.

我們繼續發展我們的雲遊戲服務 GeForce NOW，它在過去 7 個月中翻了一番，註冊用戶超過 500 萬。

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.

GeForce NOW 作為一個開放平台是獨一無二的，它連接到包括 Steam、Epic Games 和 Ubisoft Connect 在內的流行遊戲商店，允許遊戲玩家訪問他們已經擁有的遊戲。

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.

目前在 GFN 上提供 750 款遊戲，是所有云遊戲平台中最多的，其中包括 75 款免費遊戲，每週四還會增加更多遊戲。

GFN supports many popular clients including PCs, Macs and Chromebooks.

GFN 支持許多流行的客戶端，包括 PC、Mac 和 Chromebook。

Stay tuned for more devices to come in the near future.

請繼續關注在不久的將來會出現更多設備。

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.

此外，GFN 通過我們在日本、韓國、台灣、俄羅斯和沙特阿拉伯等越來越多國家/地區的電信合作夥伴的影響力不斷擴大。

We are also providing technology that enables the cloud gaming services to an expanding number of partners.

我們還為越來越多的合作夥伴提供支持雲遊戲服務的技術。

Following our earlier announcement with Tencent, Amazon and Facebook are beginning to offer cloud gaming services powered by NVIDIA.

繼我們早些時候與騰訊宣布之後，亞馬遜和 Facebook 開始提供由 NVIDIA 提供支持的雲遊戲服務。

Moving to Pro Vis.

轉向 Pro Vis。

Q3 revenue was $236 million, down 27% year-on-year and up 16% sequentially, ahead of our expectations.

第三季度收入為 2.36 億美元，同比下降 27%，環比增長 16%，超出我們的預期。

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.

連續增長是由筆記本電腦的強勁推動的，筆記本電腦的收入創下紀錄，這得益於在家工作的舉措和向輕薄移動工作站的轉變。

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.

這尤其被桌面工作站的下降所抵消，桌面工作站繼續受到大流行的影響並推動了同比下降。

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.

從行業需求的角度來看，包括醫療保健、公共部門、高等教育和研究以及金融服務在內的更強大的垂直領域，我們繼續在多個領域贏得新業務。

In health care, we added Medtronic for visual surgical applications and Philips for medical imaging.

在醫療保健領域，我們增加了用於視覺外科應用的美敦力和用於醫學成像的飛利浦。

In technology and media and entertainment, we gained wins for design, rendering and broadcast applications.

在技術、媒體和娛樂方面，我們在設計、渲染和廣播應用方面取得了勝利。

During the quarter, we announced that Omniverse, the world's first 3D collaboration and simulation platform, has entered open beta.

在本季度，我們宣布全球首個 3D 協作和模擬平台 Omniverse 已進入公測階段。

Omniverse enables the tens of millions of designers, architects and creators to collaborate real-time on-premises or remotely.

Omniverse 使數以千萬計的設計師、建築師和創作者能夠在本地或遠程進行實時協作。

Fusing the virtual and physical world, Omniverse brings together NVIDIA breakthroughs in graphics, simulation and AI.

Omniverse 融合了虛擬世界和物理世界，匯集了 NVIDIA 在圖形、模擬和人工智能方面的突破。

It will help enterprises address evolving requirements as workforces become increasingly distributed.

隨著勞動力越來越分散，它將幫助企業解決不斷變化的需求。

Initial market response from this transformative platform has been phenomenal.

這個變革性平台的初步市場反應是驚人的。

Over 400 individual creators and developers in diverse industries have been evaluating Omniverse and early adopters including Ericsson, BMW, Foster + Partners and Lucasfilm.

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 和早期採用者，包括愛立信、寶馬、福斯特建築事務所和盧卡斯影業。

The pandemic is accelerating development of AR, VR and mixed reality technologies, which will have a profound impact on how we work and play.

大流行正在加速 AR、VR 和混合現實技術的發展，這將對我們的工作和娛樂方式產生深遠的影響。

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.

例如，我們與 NASCAR 合作在邊緣啟用各種 AR 和 VR 服務，正在徹底改變全球數百萬粉絲的賽車體驗。

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.

憑藉我們行業領先的實時光線追踪圖形、人工智能和模擬硬件和軟件堆棧，NVIDIA 在實現物理世界和虛擬世界融合的未來方面處於獨特的地位。

Moving to Automotive.

轉向汽車。

Q3 revenue was $125 million, down 23% year-on-year and up 13% sequentially.

第三季度收入為 1.25 億美元，同比下降 23%，環比增長 13%。

Sequential growth was driven by a recovery in global automotive production volumes as well as continued growth in AI cockpit revenue.

全球汽車產量的複蘇以及人工智能駕駛艙收入的持續增長推動了連續增長。

The year-on-year decline was due to the expected ramp down of legacy infotainment revenue.

同比下降是由於傳統信息娛樂收入的預期下降。

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.

9 月，梅賽德斯-奔馳推出了重新設計的 S 級轎車，配備了全新的 NVIDIA 驅動的 MBUX AI 駕駛艙系統、增強現實平視顯示器、AI 語音助手和豐富的交互式圖形，使車內的每一位乘客都能享受個性化的智能功能。

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.

同樣在 9 月，中國領先的電動汽車品牌理想汽車宣布將使用軟件定義的 NVIDIA Drive AGX Orin 平台開發其下一代汽車。

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.

Orin 的性能是我們上一代 SSC 的近 7 倍，能源效率是我們的 3 倍，使其能夠為下一代自動駕駛電動汽車提供獨特的動力。

We have excellent traction with EV start-ups.

我們對電動汽車初創企業有著極好的吸引力。

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.

最後，上週，英偉達和現代汽車集團宣布，從 2022 年開始，該汽車製造商的現代、起亞和創世紀車型全系列將標配英偉達 DRIVE 車載信息娛樂系統。

This feature-rich software-defined computing platform will allow vehicles to be perpetually upgraded with the latest AI cockpit features.

這個功能豐富的軟件定義計算平台將允許車輛使用最新的人工智能駕駛艙功能進行永久升級。

Now moving to Data Center.

現在搬到數據中心。

Revenue was a record $1.9 billion, up 162% year-over-year and up 8% sequentially.

收入達到創紀錄的 19 億美元，同比增長 162%，環比增長 8%。

Driving growth was the strong ramp of our A100-based platforms, continued growth with Mellanox and record T4 shipments for inference.

推動增長的是我們基於 A100 的平台的強勁增長、Mellanox 的持續增長以及用於推理的創紀錄的 T4 出貨量。

Let me give you a little bit of color on each.

讓我給你一點顏色。

Our new NVIDIA Ampere architecture gained further adoption by cloud and hyperscale customers and started ramping into vertical industries.

我們新的 NVIDIA Ampere 架構獲得了雲和超大規模客戶的進一步採用，並開始進入垂直行業。

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.

在過去的幾周里，亞馬遜網絡服務、甲骨文云基礎設施和阿里雲宣布 A100 繼谷歌云平台和微軟 Azure 之後全面上市。

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.

垂直行業採用 A100 推動了強勁增長，因為我們開始向服務器 OEM 合作夥伴發貨，其廣泛的企業渠道覆蓋了大量最終客戶。

We also ramped the DGX A100 server and began shipping NVIDIA DGX SuperPOD, the first turnkey AI infrastructure.

我們還增加了 DGX A100 服務器並開始交付 NVIDIA DGX SuperPOD，這是第一個交鑰匙 AI 基礎設施。

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.

這些範圍從 20 到 140 個 DGX A100 系統與 Mellanox 的 HDR InfiniBand 網絡互連，使客戶能夠在短短幾週內安裝功能強大的 AI 超級計算機。

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.

事實上，我們已經宣布計劃構建一個 80 節點的 DGX SuperPOD，它具有 400 petaflops 的 AI 性能，稱為 Cambridge-1，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進行合作研究。跨學術界、工業界和初創企業的人工智能和醫療保健社區。

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.

它加入了由我們的研發和自動駕駛汽車、對話式人工智能、機器人、圖形、HPC 和其他領域提供支持的 NVIDIA 人工智能超級計算機複合體中的其他系統。

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.

其中包括現在世界第五快的超級計算機和最快的商用超級計算機 Selene，以及在全球最節能超級計算機 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.

人工智能和醫療保健的巨大機遇的一個很好的例子是我們與葛蘭素史克的新合作夥伴關係，將計算應用於藥物和疫苗發現過程。

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.

GSK 位於倫敦的人工智能中心將利用生物醫學數據、人工智能方法和先進的計算平台，以更高的精度和規模解鎖基因和臨床數據。

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，葛蘭素史克還將獲得 NVIDIA 的 Cambridge-1、NVIDIA Clara Discovery 軟件和 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.

在我們上一季度的人工智能訓練 MLPerf 基準測試之後，A100 在第三季度席捲了人工智能推理性能的行業標準 MLPerf 基準測試。

Notably, our performance lead in AI inference actually extended compared with last year's benchmark.

值得注意的是，與去年的基準相比，我們在 AI 推理方面的領先優勢實際上有所擴大。

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.

例如，在用於圖像識別的 ResNet-50 測試中，我們的 A100 GPU 今年比僅使用 CPU 的系統高出 30 倍，而去年是 6 倍。

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.

此外，在新添加的推薦器測試中，A100 的性能比 CPU 高出 237 倍，這代表了互聯網上一些最複雜和廣泛使用的 AI 模型。

Our winning performance in AI inference is translating to continued strong revenue growth.

我們在 AI 推理方面的出色表現正在轉化為持續強勁的收入增長。

Alongside the continued ramp of the A100, T4 sales set a record as the NVIDIA AI inference adoption is in full throttle.

除了 A100 的持續增長之外，T4 的銷量也創下了記錄，因為 NVIDIA 人工智能推理的採用正在全力以赴。

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.

我們估計，NVIDIA 在 7 個最大的公共雲中安裝的用於推理的 GPU 容量現在超過了雲中的總 CPU 容量，這證明了我們 GPU 的巨大性能和 TCO 優勢。

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.

數百家公司現在在 NVIDIA 的推理平台上運行支持 AI 的服務，包括 A100 或 T4 GPU 以及我們的 Triton 推理服務軟件。

For example, Tencent uses NVIDIA AI inference to recommend videos, music, news and apps, supporting billions of queries per day.

例如，騰訊使用 NVIDIA AI 推理來推薦視頻、音樂、新聞和應用程序，每天支持數十億次查詢。

Microsoft uses NVIDIA AI inference for grammar correction in Microsoft Office, supporting 0.5 trillion queries a year.

微軟在 Microsoft Office 中使用 NVIDIA AI 推理進行語法校正，每年支持 0.5 萬億次查詢。

And American Express uses it for real-time fraud detection.

美國運通將其用於實時欺詐檢測。

We also gave tremendous traction in supercomputing.

我們還在超級計算方面提供了巨大的推動力。

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.

我們宣布，包括 Ampere 架構 GPU 和 HDR InfiniBand 網絡在內的 NVIDIA 技術將為 Euro HPC 授予的 5 個系統提供支持，Euro HPC 是歐洲建立百億級超級計算的倡議。

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.

這包括意大利大學聯盟Cineca，也是世界上最重要的超級計算中心之一，它將使用NVIDIA的加速計算平台來構建世界上最快的AI超級計算機。

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.

Cineca 的名為 Leonardo 的超級計算機推進了 exascale AI 的時代，提供了 10 exaflops 的 AI 性能，使 AI 和高性能計算能夠融合應用程序用例。

It is built with nearly 14,000 NVIDIA Ampere architecture-based GPUs and Mellanox HDR 200-gigabit per second InfiniBand networking.

它由近 14,000 個基於 NVIDIA Ampere 架構的 GPU 和 Mellanox HDR 200 Gb/秒 InfiniBand 網絡構建而成。

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.

而剛剛發布的 500 強超級計算機列表顯示，NVIDIA GPU 或網絡驅動了近 70% 和 8 台上榜的超級計算機。

Mellanox had another record quarter with double-digit sequential growth well ahead of our expectations, contributing 13% of overall company revenue.

Mellanox 又一個創紀錄的季度實現了兩位數的連續增長，遠超我們的預期，占公司總收入的 13%。

The upside reflected sales to a China OEM that will not recur in Q4.

上行反映了對中國 OEM 的銷售，不會在第四季度再次出現。

As a result, we expect a meaningful sequential revenue decline for Mellanox in Q4, though still growing 30% from last year.

因此，我們預計 Mellanox 第四季度的收入將出現有意義的環比下降，但仍比去年增長 30%。

Mellanox reached record revenue in both InfiniBand and Ethernet driven by cloud, enterprise and supercomputing customers.

Mellanox 在雲、企業和超級計算客戶的推動下，在 InfiniBand 和以太網方面的收入均創下歷史新高。

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.

人工智能和日益複雜的應用程序推動了對 Mellanox 領先的高性能互連的強烈需求，這些應用程序需要更快、更智能、可擴展性更低的網絡。

As the data center becomes the new unit of computing in the age of AI, Mellanox networking is foundational to modern scale-out architectures.

隨著數據中心成為人工智能時代的新計算單元，Mellanox 網絡是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.

在 10 月的 GTC 上，我們推出了 BlueField-2 DPU 或數據處理單元，這是一種新型處理器，可以從 CPU 中卸載關鍵的網絡、存儲和安全任務。

A single BlueField 2 DPU can deliver the same data center services that consume up to 125 CPU cores.

單個 BlueField 2 DPU 可以提供相同的數據中心服務，最多消耗 125 個 CPU 內核。

This frees up valuable CPU cores to run a wide range of other enterprise applications.

這釋放了寶貴的 CPU 內核來運行廣泛的其他企業應用程序。

In addition, it enables zero trust security features to prevent data breaches and cyberattacks and accelerates overall performance.

此外，它還支持零信任安全功能，以防止數據洩露和網絡攻擊，並提高整體性能。

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.

VMware 宣布將使用 NVIDIA 的 BlueField-2 DPU 卸載、加速和隔離其行業領先的 ESXi Hypervisor，從而提高 vSphere 和數據中心的性能和效率。

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.

我們還公佈了我們的 3 年 DPU 路線圖，將 Mellanox 領先的網絡功能與 NVIDIA 的 GPU 和新的 NVIDIA DOCA（片上數據中心、架構、軟件開發套件）結合起來，用於構建 DPU 加速的應用程序。

We believe that over time, DPUs will ship on millions of servers, unlocking a $10 billion total addressable market.

我們相信，隨著時間的推移，DPU 將在數百萬台服務器上發布，從而打開 100 億美元的總潛在市場。

BlueField-2 is sampling now with major hyperscale customers and will be integrated into the enterprise server offerings of major OEMs.

BlueField-2 現已向主要超大規模客戶提供樣品，並將集成到主要 OEM 的企業服務器產品中。

This was our busy period for product launches.

這是我們產品發布的忙碌時期。

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.

本週早些時候，在 Supercomputing '20 上，我們宣布了新的雙容量 A100 80 GB GPU 和 DGX 系統，供組織構建、訓練和部署大規模 AI 模型。

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.

我們還發布了新的 DGX Station A100，這是一款功能強大的工作組服務器，配備 4 個 A100 GPU 和 320 GB 的巨大 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。

All these additions to the NVIDIA Ampere architecture family of products will be available early next year.

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.

在 SC20 上，我們還宣布了下一代 NVIDIA Mellanox 每秒 400 Gb InfiniBand 架構，為 AI 開發人員和科研人員提供了最快的可用網絡性能。

This doubles data throughput and adds new in-network computing engines to provide additional acceleration.

這使數據吞吐量翻了一番，並添加了新的網絡內計算引擎以提供額外的加速。

Solutions based on this new architecture are expected to sample in the second quarter of calendar 2021.

基於這種新架構的解決方案預計將在 2021 年第二季度提供樣品。

Moving to the rest of the P&L.

轉到損益表的其餘部分。

Q3 GAAP gross margins was 62.6%, and non-GAAP gross margin was 65.5%.

第三季度 GAAP 毛利率為 62.6%，非 GAAP 毛利率為 65.5%。

GAAP gross margin declined year-on-year, primarily due to charges related to the Mellanox acquisition partially offset by product mix.

GAAP 毛利率同比下降，主要是由於與收購 Mellanox 相關的費用被產品組合部分抵消。

This sequential increase was driven by the absence of nonrecurring inventory step-up expense related to the Mellanox acquisition.

這種連續增長的原因是沒有與收購 Mellanox 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 毛利率同比增長 140 個基點，反映了產品組合的轉變以及數據中心銷售額的增加，包括 Mellanox 的貢獻。

Non-GAAP gross margin was down 50 basis points sequentially, in line with our expectations, driven by product mix.

在產品組合的推動下，非美國通用會計準則毛利率環比下降 50 個基點，符合我們的預期。

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.

第三季度 GAAP 運營費用為 15.6 億美元，非 GAAP 運營費用為 11 億美元，同比分別增長 6% 和 42%。

Q3 GAAP EPS was $2.12, up 46% from a year earlier.

第三季度 GAAP 每股收益為 2.12 美元，同比增長 46%。

And non-GAAP EPS was $2.91, up 63% from a year ago.

非公認會計原則每股收益為 2.91 美元，比一年前增長 63%。

Q3 cash flow from operations was $1.28 billion.

第三季度運營現金流為 12.8 億美元。

With that, let me turn to the outlook for the fourth quarter of fiscal 2021.

有了這個，讓我轉向 2021 財年第四季度的前景。

As a reminder, Q4 includes a 14th week, which we expect to be incrementally an addition to revenue and operating expenses.

提醒一下，第四季度包括第 14 週，我們預計這將逐漸增加收入和運營費用。

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.

隨著我們繼續增加新的 RTX 30 系列產品，我們預計遊戲將在通常是季節性下降的季度環比增長。

We expect Data Center to be down slightly versus Q3.

我們預計數據中心將比第三季度略有下降。

With that, we expect computing products to grow in the mid-single digits sequentially, more than offset by a sequential decline in Mellanox.

有了這個，我們預計計算產品將連續增長中個位數，這將被 Mellanox 的連續下降所抵消。

We expect continued sequential growth in Auto and Pro Vis though not yet returning to year-on-year growth.

我們預計 Auto 和 Pro Vis 將繼續連續增長，但尚未恢復到同比增長。

And we expect a seasonal decline in OEM.

我們預計 OEM 將出現季節性下降。

Revenue is expected to be $4.8 billion, plus or minus 2%.

收入預計為 48 億美元，正負 2%。

GAAP and non-GAAP gross margins are expected to be 62.8% and 65.5%, respectively, plus or minus 50 basis points.

GAAP 和非 GAAP 毛利率預計分別為 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 和非 GAAP 運營費用預計分別約為 16.4 億美元和 11.8 億美元。

GAAP and non-GAAP other income and expenses are both expected to be an expense of approximately $55 million.

GAAP 和非 GAAP 其他收入和支出預計均約為 5500 萬美元。

GAAP and non-GAAP tax rates are both expected to be 8%, plus or minus 1%, excluding discrete items.

GAAP 和非 GAAP 稅率預計均為 8%，正負 1%，不包括離散項目。

Capital expenditures are expected to be approximately $300 million to $325 million.

資本支出預計約為 3 億至 3.25 億美元。

Further financial details are included in the CFO commentary and other information available on our IR website.

更多財務細節包含在 CFO 評論和我們投資者關係網站上提供的其他信息中。

In closing, let me highlight upcoming events for the financial community.

最後，讓我強調一下金融界即將發生的事件。

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.

我們將虛擬參加 11 月 30 日的瑞士信貸技術會議；富國銀行 TMT 峰會，12 月 1 日；以及 12 月 7 日的瑞銀 TMT 會議。我們將在 2 月 24 日星期三召開財報電話會議，討論第四季度和全年業績。

We will now open the call for questions.

我們現在將打開問題的電話。

Operator, would you please poll for questions?

接線員，請您投票提問嗎？

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

（操作員說明）您的第一個問題來自 Crédit Suisse 的 John Pitzer。

Sorry, can you hear me?

對不起，你能聽到我說話嗎？

Yes.

是的。

Congratulations on the solid results.

祝賀你取得了堅實的成果。

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.

只是 Colette，回到您對 Mellanox 的評論，您似乎將 1 月季度引導至約 5 億，這意味著核心數據中心業務仍在良好增長，稱其為 6%、7%。

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.

當您查看核心數據中心業務時，我有點好奇，我知道這與服務器業務沒有直接關係，但我們顯然正在經歷服務器的雲消化，而服務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?

當您查看您的核心數據中心業務時，您是否覺得它正在產生影響，這是您在 20 財年後期看到的某種消化——抱歉，從 19 財年到 20 財年，但是您'它仍然在逐年顯著增長嗎？

Or how would you characterize the macro backdrop?

或者你會如何描述宏觀背景？

Sure.

當然。

Let me make sure we clarify for those also on the call.

讓我確保我們也為電話會議上的人澄清。

Yes, we expect our Data Center revenue in total to be down slightly quarter-over-quarter.

是的，我們預計我們的數據中心總收入將環比略有下降。

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.

隨著我們繼續採用 NVIDIA AI，特別是隨著 A100 的持續增長，計算產品（即 NVIDIA 計算產品）預計將環比增長中個位數。

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.

我們的網絡，我們的 Mellanox 網絡，預計將出現有意義的季度環比下降，因為該中國 OEM 的銷售將不會在第四季度再次出現，儘管我們仍預計結果將同比增長 30% 或更多。

The timing of some of this business therefore shifted from Q4 to Q3.

因此，其中一些業務的時間從第四季度轉移到第三季度。

But overall, H2 is quite strong.

但總體而言，H2 相當強勁。

So in referring to overall digestion, the hyperscale business remains extremely strong.

因此，在整體消化方面，超大規模業務仍然非常強勁。

We expect hyperscales to grow quarter-over-quarter in computing products as A100 continues to ramp.

隨著 A100 的持續增長，我們預計超大規模計算產品的季度環比增長。

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.

A100 不僅繼續在這些超大規模客戶中獲得採用，而且我們在 A100 和 T4 的推理方面也再次獲得了巨大的動力。

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

我會把它交給 Jensen，看看他是否還有其他想要添加的內容。

Yes.

是的。

Colette captured it very well.

科萊特很好地捕捉到了它。

The only thing I would add is our inference initiative is really gaining great momentum.

我唯一要補充的是，我們的推理計劃確實獲得了巨大的動力。

Inference is one of the hardest computer science problems.

推理是最難的計算機科學問題之一。

Compiling these gigantic neural network computational graphs into a target device is really, really -- has proven to be really, really hard.

將這些巨大的神經網絡計算圖編譯到目標設備中確實非常非常 - 已被證明非常非常困難。

The models are diverse, ranging from vision to language to speech.

模型多種多樣，從視覺到語言再到語音。

And there are so many different types of models being created.

並且正在創建許多不同類型的模型。

The model sizes are doubling every couple of months.

模型尺寸每兩個月翻一番。

The latency expectations are increasing all the time -- or latency is decreasing all the time.

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.

所以推理的壓力真的很大。

The technology pressure is really great.

技術壓力真的很大。

And our leadership there is really pulling ahead.

我們在那裡的領導層確實在向前推進。

We're in our seventh generation TensorRT.

我們是第七代 TensorRT。

We, over the course of the last couple of years, developed an inference server.

在過去的幾年中，我們開發了一個推理服務器。

It's called Triton, has been adopted all over the place.

它被稱為 Triton，已被各地採用。

We have several hundred customers now using NVIDIA AI to deploy their AI services.

我們現在有數百名客戶使用 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.

這是早期的一局，我認為這將是我們最大的近期增長機會。

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.

因此，我們真的在全力以赴，在 A100 在雲中加速，A100 開始在企業中加速，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.

Jensen 可能會繼續關注垂直市場，顯然是在家工作，而今年的 COVID 對本地新技術部署構成了阻力。

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?

我有點好奇，如果我們預計明年企業總體會復蘇，您認為這將如何轉化為您的垂直市場戰略？

And is there anything else above and beyond that you can do to help accelerate penetration of AI into that end market?

除此以外，您還能做些什麼來幫助加速 AI 滲透到終端市場？

Yes.

是的。

John, that's a good point.

約翰，這是一個很好的觀點。

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.

我的意思是——很明顯，無法上班正在減緩某些垂直行業對新技術的採用。

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.

當然，我們看到某些垂直領域正在迅速採用，例如在醫療保健中使用人工智能來快速發現新疫苗以及早期發現疫情和機器人應用。

So warehouses, digital retail, last mile delivery, we're just seeing just really, really great enthusiasm around adopting new AI, robotics technology.

因此，倉庫、數字零售、最後一英里交付，我們只是看到對採用新的人工智能和機器人技術的熱情非常非常高。

But in some of the old -- some of the more traditional industries, new capabilities and new technologies are slower to deploy.

但在一些舊的——一些更傳統的行業，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.

我非常興奮的領域之一是我們在遠程工作中所做的工作，並使人們可以遠程協作。

We have a platform called Omniverse.

我們有一個名為 Omniverse 的平台。

It's in early beta.

它處於早期測試階段。

The feedback from the marketplace has been really great.

來自市場的反饋非常好。

And so I've got a lot more to report to you guys in the upcoming months around Omniverse.

因此，在接下來的幾個月裡，圍繞 Omniverse，我還有很多事情要向你們報告。

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.

所以——但無論如何，我認為當行業復甦時，我們會服務——作為一家公司，我們的基本目標是解決普通計算機無法解決的影響行業的最大挑戰。

And these challenges are -- serve some of the most important applications in the verticals that we address.

這些挑戰是——服務於我們解決的垂直領域中的一些最重要的應用程序。

And they're not commodity applications.

它們不是商品應用程序。

They're really impactful, needle-moving applications.

它們是非常有影響力的、針狀移動的應用程序。

So I have every confidence that when the industries recover, things will get designed.

所以我完全有信心，當行業復甦時，事情會得到設計。

Cars will be designed, and planes will be designed, and ships will be designed, and buildings will be designed.

設計汽車，設計飛機，設計船舶，設計建築物。

And we're going to see a lot of design, and we're going to see a lot of simulation.

我們會看到很多設計，我們會看到很多模擬。

We're going to see a lot of robotics applications.

我們將看到很多機器人應用。

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

（操作員說明）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.

您在準備好的評論中談到了容量組件的有限可用性。

You suggested perhaps a few months to catch up.

你建議也許幾個月來趕上。

Curious if you can speak to the visibility that you have for both Gaming and Data Center into your April quarter.

想知道您是否可以在 4 月季度談論您對遊戲和數據中心的可見性。

Yes.

是的。

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

科萊特，你想讓我盡快接受嗎，也許你能幫幫我？

Yes.

是的。

Yes, absolutely.

是的，一點沒錯。

So C.J., first off, we have a lot of visibility into the channel, as you know, especially for Gaming.

所以 C.J.，首先，如您所知，我們對頻道有很多可見性，尤其是對於遊戲。

And we know how many weeks of inventory is in what parts of the channel.

我們知道渠道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.

一段時間以來，我們一直在耗盡 Turing 的渠道庫存。

And meanwhile, we've also expected a very, very successful launch with Ampere.

同時，我們也期待與 Ampere 的合作非常非常成功。

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.

即使我們看漲的需求預期和我們建造的所有安培，這是有史以來最快的斜坡之一，需求仍然是壓倒性的。

And this, I guess in a lot of ways, is kind of expected.

我想這在很多方面都是意料之中的。

The circumstances are -- it's been a decade since we've invented a new type of computer graphics.

情況是——自從我們發明了一種新型的計算機圖形以來，已經有十年了。

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.

10 年前，我們發明了一種可編程著色器，它使行業走上了創建我們今天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.

但很明顯，未來會變得更加美好，我們發明了 NVIDIA RTX 來做到這一點。

And it has 2 capabilities, one based on ray tracing, and the other one's based on artificial intelligence image generation.

它有兩種能力，一種基於光線追踪，另一種基於人工智能圖像生成。

The combination of those 2 capabilities is creating images that people are pretty ecstatic about.

這兩種能力的結合正在創造人們非常欣喜若狂的圖像。

And at this point, it's defined the next-generation content.

在這一點上，它定義了下一代內容。

And so when we -- it took us 10 years to invent it.

所以當我們 - 我們花了 10 年的時間來發明它。

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.

我們在 2 年前推出了它，並讓我們的第二代產品真正達到了業界真正期待的質量和性能水平。

And now the demand is just overwhelming.

而現在的需求是壓倒性的。

And so we're going to continue to ramp fast, and this is going to be one of our most successful ramps ever.

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。

And it gives our installed base of some 200 million-plus GeForce gamers the best reason to upgrade in over a decade.

它為我們擁有約 2 億多 GeForce 遊戲玩家的安裝基礎提供了十多年來升級的最佳理由。

And so this is going to be a very large generation for us is my guess.

所以這對我們來說將是一個非常大的一代，這是我的猜測。

And then with respect to Data Center, we're ramping into A100.

然後在數據中心方面，我們正在進入 A100。

A100 is our first generation of GPUs that does several things at the same time.

A100 是我們的第一代 GPU，可同時執行多項操作。

It's universal.

它是通用的。

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.

我們將它定位為通用的，因為它能夠完成我們過去必須擁有多個 GPU 才能完成的所有應用程序。

It does training well.

它的訓練效果很好。

It does inference incredibly well.

它的推理非常好。

It does high-performance computing.

它進行高性能計算。

It does data analytics.

它進行數據分析。

And so it's able -- the Ampere architecture is able to do all of this at the same time.

所以它能夠——Ampere 架構能夠同時完成所有這些工作。

And so the utilization for data centers is -- and the utility is really, really fantastic.

所以數據中心的利用率是——而且這個實用程序真的非常棒。

And the reception has been great.

而且接待非常好。

And so we're going to ramp into all of the world's clouds.

因此，我們將進入世界上所有的雲層。

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.

我認為從本季度開始，我們現在進入了世界上所有主要的雲提供商，包括阿里巴巴、甲骨文，當然還有巨頭、亞馬遜、Azure 和谷歌云。

And we're going to continue to ramp into that.

我們將繼續加大力度。

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.

然後當然我們開始進軍企業，在我看來，從長遠來看，這仍然是我們最大的增長機會，把每個行業都變成人工智能，把每家公司變成人工智能，並用人工智能來增強它，並帶來 iPhone世界上所有最大的行業的時刻。

And so we're ramping into that, and we're seeing a great deal of enthusiasm.

因此，我們正在加大力度，我們看到了極大的熱情。

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

您的下一個問題來自 Bernstein Research 的 Stacy Rasgon。

You said that the extra week was contributing incrementally to revenue and OpEx.

你說額外的一周對收入和運營支出的貢獻是遞增的。

Can you give us some feeling for how much is contributing to revenue and OpEx in Q4?

您能否讓我們了解一下第四季度對收入和運營支出的貢獻有多大？

And does that impact, at least on the revenue side, differ, say, between like Gaming and Data Center?

至少在收入方面，這種影響在遊戲和數據中心之間是否有所不同？

And then how should we think about it impacting seasonality into Q1 as that extra week rolls off?

然後，隨著額外一周的結束，我們應該如何考慮它會影響第一季度的季節性？

Sure.

當然。

Let me try this one, Jensen.

讓我試試這個，詹森。

Yes, we've incorporated that 14th week into our guidance for both revenue and OpEx.

是的，我們已將第 14 周納入我們對收入和運營支出的指導。

We will likely have incrementally positive impact on revenue, although it is tough to quantify, okay?

儘管很難量化，但我們可能會對收入產生漸進式的積極影響，好嗎？

Our outlook also reflects incremental OpEx for Q4 in primarily 2 different areas in terms of compensation and depreciation.

我們的展望還反映了第四季度主要在補償和折舊兩個不同領域的運營支出增加。

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.

鑑於我們的員工是我們運營支出的重要組成部分，它將——可能接近本季度的 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.

現在，當我們看得更遠一點時，我們應該考慮從那額外的一周開始，遊戲和數據中心的增量積極，因為希望會有額外的供應，但不太可能高達企業收入季度收入的 1/14需求本質上是基於項目的，而遊戲需求與遊戲數量相關——可能會在整個假期購物的遊戲玩家。

So again, still very hard for us to determine at this time.

再說一次，我們現在仍然很難確定。

Normally, between Q4 and Q1, there is seasonality in Gaming, seasonality downward.

通常，在 Q4 和 Q1 之間，遊戲存在季節性，季節性下降。

But we'll just have to see as we are still supply-constrained within this Q4 to see what that looks like.

但我們只需要看看，因為我們在第四季度仍然受到供應限制，看看會是什麼樣子。

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

從運營支出的角度來看，隨著我們從第四季度到第一季度，我們可能會期望我們的運營支出相對持平。

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.

祝賀強勁增長。

Jensen, my question is on competition from internally designed products by some of your larger cloud customers, Amazon and Google and others.

Jensen，我的問題是關於您的一些大型雲客戶、亞馬遜和谷歌等內部設計產品的競爭。

We hear about competition from time to time, and I wanted to get your perspective.

我們不時聽到有關競爭的消息，我想了解您的觀點。

Is this a manageable risk?

這是一個可控的風險嗎？

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?

認為他們可能在他們的公共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，這是正確的方式嗎？

Just how should we think about this risk going forward?

我們應該如何看待未來的這種風險？

Thanks, Vivek.

謝謝，維維克。

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.

大多數雲供應商，事實上我相信所有的雲供應商，在他們的內部雲和外部雲中使用相同的基礎設施，或者有能力或在很大程度上這樣做。

And there's -- the competition, we find to be really good.

還有 - 競爭，我們發現非常好。

And the reason for that is this.

原因是這樣的。

It just suggests that acceleration -- makes it very clear that acceleration is the right path forward for training and inference.

它只是表明加速——非常清楚地表明加速是訓練和推理的正確道路。

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.

世界上絕大多數訓練模型的規模每兩個月就會翻一番，這也是我們需求如此之大的原因之一。

The second is inference.

二是推理。

The vast majority of the world's inference is done on CPUs.

世界上絕大多數的推理都是在 CPU 上完成的。

And nothing is better than the whole world recognizing that the best way forward is to do inference on accelerators.

沒有什麼比全世界都認識到最好的方法是對加速器進行推斷更好。

And when that happens, our accelerator is the most versatile.

當這種情況發生時，我們的加速器是最通用的。

It's the highest performance.

這是最高的性能。

We move the fastest.

我們行動最快。

Our rate of innovation is the fastest because we're also the most dedicated to it.

我們的創新速度是最快的，因為我們也是最專注的。

We're the most committed to it, and we have the largest team in the world to it.

我們是最致力於它的，我們擁有世界上最大的團隊。

Our stack is the most advanced, giving us the greatest versatility and performance.

我們的堆棧是最先進的，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.

所以我們在這里和那裡看到公告點，但他們也是我們最大的客戶。

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.

正如你所知道的，我們在谷歌的發展非常好，我們在亞馬遜、微軟、阿里巴巴和甲骨文等公司的發展也非常好。

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.

所以我認為最大的收穫是——如果你看看世界上大量的工作負載、人工智能工作負載，這對我們來說是一個很好的機會，今天絕大多數仍然在 CPU 上。

And it's very clear now this is going to be an accelerated workload, and we're the best accelerator in the world.

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。

And this is going to be a really big growth opportunity for us in the near term.

在短期內，這對我們來說將是一個非常大的增長機會。

In fact, we believe it's our largest growth opportunity in the near term, and we're in the early innings of it.

事實上，我們相信這是我們近期最大的增長機會，而且我們還處於早期階段。

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.

在季度執行方面做得很好。

The Mellanox networking connectivity business was up 80% year-over-year.

Mellanox 網絡連接業務同比增長 80%。

I think it was up about 13%, 14% sequentially.

我認為它連續上漲了約 13% 和 14%。

And I know there was upside in October from one China customer.

而且我知道一位中國客戶在 10 月份有上漲空間。

But it did grow 70% year-over-year last quarter, and you're still expecting 30% year-over-year growth next quarter.

但上個季度它確實同比增長了 70%，你仍然預計下個季度同比增長 30%。

If I remember correctly, I think InfiniBand is about 40% of that business; ethernet cloud is about 60%.

如果我沒記錯的話，我認為 InfiniBand 約佔該業務的 40%；以太網雲約為 60%。

Jensen, what are the big drivers, especially since we're in the midst of a cloud spending digestion cycle?

Jensen，主要驅動因素是什麼，尤其是因為我們正處於雲支出消化週期之中？

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.

我剛剛看到該團隊宣布了他們的下一代 400 gig InfiniBand 解決方案，這將推動您的超級計算機客戶的另一個強大的採用周期。

When does this upgrade cycle start to fire?

這個升級週期什麼時候開始？

Yes.

是的。

Let's see.

讓我們來看看。

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.

我們的數據中心業務由超級計算中心組成，它很小，高性能計算是超級計算的一個更大的部分，比超級計算大得多。

And then hyperscale and enterprise, which -- about 50-50.

然後是超大規模和企業，大約 50-50。

The -- of the Data Center business, the accelerated computing part is not very much associated with digestion and others.

在數據中心業務中，加速計算部分與消化等相關性不大。

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.

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、雲服務提供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 模型以及多少我們 - 我們已經完成了多少工作負載移植到我們的加速器並準備好進行部署。

And so those are the factors associated with accelerated computing.

這些就是與加速計算相關的因素。

It's really about the apps.

這真的是關於應用程序。

It's really about the workloads and really driven by AI.

這真的是關於工作負載，並且真的是由人工智能驅動的。

On the other hand, the networking part of our business is more connected to CPU business because they're much more broad-based.

另一方面，我們業務的網絡部分與 CPU 業務的聯繫更緊密，因為它們的基礎更廣泛。

The networking part of our business is driven by this idea of new hyperscale data center architecture called disaggregation.

我們業務的網絡部分是由這種稱為分解的新型超大規模數據中心架構的理念驅動的。

It's software disaggregation, not necessarily hardware disaggregation.

這是軟件分解，不一定是硬件分解。

Software disaggregation, where this type of software called Kubernetes orchestrate micro services that are deployed across the data center.

軟件分解，這種稱為 Kubernetes 的軟件編排跨數據中心部署的微服務。

So one service, one application, isn't monolithic running on one computer anymore.

因此，一項服務、一項應用程序不再單一地運行在一台計算機上。

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.

它分佈在多台計算機和多個節點上，因此超大規模數據中心可以更輕鬆地根據工作負載和數據中心的需求進行縱向擴展和橫向擴展。

And so this disaggregation has caused the networking between the compute nodes to be of all vital importance.

因此，這種分解導致計算節點之間的網絡變得至關重要。

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.

由於 Mellanox 是您可以獲得的最低延遲、最高性能、最高帶寬的網絡，因此數據中心規模的 TCO 優勢確實非常棒。

And so when they're building out data centers, Mellanox is going to be much more connected to that.

因此，當他們建立數據中心時，Mellanox 將與此建立更多聯繫。

In the enterprise side of it, depending on new CPU cycles, it could affect them.

在企業方面，根據新的 CPU 週期，它可能會影響它們。

If a CPU cycle were to delay a little bit, it would affect them by a quarter.

如果一個 CPU 週期延遲一點，它會影響它們四分之一。

But if it was a pull-in by a quarter, it would affect them by a pull-in of a quarter.

但如果它是一個四分之一的拉入，它會影響他們一個四分之一的拉入。

And so those are kind of the dynamics of it.

所以這些就是它的動力。

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.

我認為它的網絡是在這一點上已成定局，人工智能將成為軟件編寫方式的未來。

AI is the most powerful technology force of our time, and acceleration is the best path forward.

人工智能是我們這個時代最強大的技術力量，加速是最好的前進道路。

And so that's what drives our computing business.

這就是推動我們的計算業務的動力。

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.

而網絡業務與方式有關——數據中心架構、雲數據中心，現在是用微服務架構的。

And that's what foundationally drives their -- our networking business demand.

這就是從根本上推動他們 - 我們的網絡業務需求的原因。

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.

因此，我們在這兩種基本動態中處於有利地位，因為正如我們所知，人工智能是未來，雲計算是未來。

Both of those dynamics are very favorable to us.

這兩種動力都對我們非常有利。

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.

我想問一個以前被問過的問題，但方式不同。

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.

如果我看一下不包括核心數據中心業務 Mellanox 的核心業務，它在過去兩個季度環比增長了約 6%，而你的指導意味著 1 月份再次增長了大約 6%，這在一些雲消化下肯定是好的，但當然你的安培還在加速，這應該是一個很好的順風。

So there seems to be some offsetting factors.

所以似乎有一些抵消因素。

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.

所以我想我想知道你是否覺得你的核心數據中心收入現在仍然受到一些市場消化以及你如何平衡或阻礙這兩個因素的限制。

Our growth is -- in the near term is more affected by the cycle time of manufacturing and flexibility of supply.

我們的增長是 - 在短期內更多地受到製造週期時間和供應靈活性的影響。

We are in a good shape to -- and all of our supply is -- informs our guidance.

我們處於良好狀態 - 我們所有的供應都是 - 告知我們的指導。

But we would appreciate shorter cycle times.

但我們希望縮短週期時間。

We would appreciate more agile supply chains.

我們會欣賞更靈活的供應鏈。

But the world is constrained at the moment.

但目前世界受到限制。

And so we just have to make the best of it.

所以我們只需要充分利用它。

But even in that condition, we've -- all of that is in our guidance, and we expect to grow.

但即使在這種情況下，我們也 - 所有這些都在我們的指導中，我們期望成長。

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.

祝賀本季度。

I wanted to go back to kind of the Mellanox question.

我想回到 Mellanox 的問題。

I know prior to the acquisition, Mellanox was growing maybe in the mid- to high 20% range.

我知道在收購之前，Mellanox 的增長可能在 20% 的中高範圍內。

These last 2 quarters, it's grown over 75%.

在過去的兩個季度中，它增長了 75% 以上。

I guess the simple question is how do you think about the growth rate for Mellanox going forward?

我想一個簡單的問題是您如何看待 Mellanox 未來的增長率？

And on that topic, we've started to hear you talk more about BlueField and data processing units.

在這個話題上，我們開始聽到你更多地談論 BlueField 和數據處理單元。

I think in your commentary, you alluded to server OEM design wins incorporating these DPUs.

我認為在您的評論中，您提到了包含這些 DPU 的服務器 OEM 設計獲勝。

What are you looking at?

你在看什麼？

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

或者我們應該什麼時候考慮 DPU 業務真正開始影響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.

從長遠來看，世界上的每台計算機都將像數據中心一樣構建，數據中心的每個節點本身都將成為數據中心。

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.

這樣做的原因是因為我們希望攻擊面基本上為 0。而今天，大多數數據中心只是作為外圍進行保護。

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.

但是在未來，如果你希望雲計算成為一切的架構，並且每個數據中心都是多租戶的，每個數據中心都是安全的，那麼你將不得不保護每個節點。

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.

這些節點中的每一個都將是軟件定義的網絡、軟件定義的存儲，並且每個應用程序都將具有安全性。

And so the processing that is -- that it will need to offload the CPU is really quite significant.

因此，需要卸載 CPU 的處理確實非常重要。

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.

事實上，我們認為在今天的數據中心的 20% 到 40% 之間，雲數據中心的容量、吞吐量、計算負載基本上是基礎設施開銷所消耗的。

And that's what the DPU is intended -- was designed to do.

這就是 DPU 的意圖——旨在做的事情。

We're going to offload that, number one.

我們將卸載它，第一。

And number two, we're going to make every single application secure.

第二，我們將確保每一個應用程序的安全。

And confidential competing, zero trust computing, that will become a reality.

和機密競爭、零信任計算，這將成為現實。

And so the importance is really quite tremendous.

所以它的重要性真的非常巨大。

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.

因此，我相信世界上每台服務器都會有一個 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。

And it's really the most cost-effective way of building a data center.

這確實是構建數據中心最具成本效益的方式。

And so I expect our DPU business to be quite large.

所以我預計我們的 DPU 業務會非常大。

And so that's the reason why we're putting so much energy into it.

這就是我們投入如此多精力的原因。

It's a programmable data center on a chip, think of it that way, a data center infrastructure on a chip.

它是一個芯片上的可編程數據中心，這樣想，一個芯片上的數據中心基礎設施。

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.

這就是為什麼我們與 VMware 合作，將數據中心的操作系統、數據中心的軟件定義操作系統放在 BlueField 上。

And so this is a very important initiative for us.

所以這對我們來說是一個非常重要的舉措。

I'm very excited about it, as you can imagine.

正如您可以想像的那樣，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 Capital Markets 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?

Colette，如果我錯過了，我深表歉意，但對於 Mellanox，您是否預計它會在 4 月季度連續恢復增長軌跡？

And I'm assuming that the shortfall in the current quarter is from a pull-in from Huawei.

我假設本季度的短缺是來自華為的拉動。

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.

因此，是的，我們對 Mellanox 第四季度指導的影響受到了向中國 OEM 出售 Mellanox 的影響，該交易不會在第四季度再次發生。

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.

當我們展望 4 月的第一季度時，我們將一次完成一個季度，並在我們轉入新的財政年度時為此提供想法和指導。

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.

在最高級別，科萊特，我認為——可以肯定地說，隨著我們的發展，高速網絡將成為雲數據中心中最重要的事情之一。

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.

而且世界上絕大多數的數據中心仍然是為傳統的超融合架構而構建的，這些架構都在轉向基於微服務的分解——軟件定義的分解架構。

And that journey is still in its early days.

而這一旅程仍處於早期階段。

And so I fully expect future cloud data centers, all future data centers are going to be connected with high-speed networking inside.

所以我完全期待未來的雲數據中心，所有未來的數據中心都將與內部的高速網絡連接。

They call it east-west traffic.

他們稱之為東西向交通。

And all of the traffic will be secured.

並且所有流量都將得到保護。

And so imagine building firewalls into every single server.

因此，想像一下在每台服務器中構建防火牆。

And imagine every single transaction, every single transmission inside the data center to be high speed and fully encrypted.

想像一下，數據中心內的每一筆交易、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.

因此，未來的數據中心必須安裝相當驚人的計算量。

But that's an accepted requirement now.

但現在這是一個公認的要求。

And I think our networking business, Mellanox, is in the early innings of growth.

我認為我們的網絡業務 Mellanox 正處於增長的早期階段。

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

您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.

您已經為我們提供了這個難題的一些部分，但我希望您可以直接解決 Ampere 逐個 SKU 推出的問題。

We know that we didn't have a ton of SKUs last quarter.

我們知道上個季度我們沒有大量的 SKU。

There were more in this quarter that you just announced.

您剛剛宣布的本季度還有更多內容。

Now you're doing sort of this refresh, it sounds like, with double the memory on the A100.

現在你正在做這種刷新，聽起來，A100 的內存增加了一倍。

Is the T4 going to be refreshed?

T4會更新嗎？

And if so, when does that happen?

如果是這樣，那什麼時候發生？

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?

是否還有其他系統或芯片仍在等待 Ampere 更新，這可能有助於延長我們明年的周期？

Yes.

是的。

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.

就我們增加的 Ampere 的 SKU 總數而言，我們目前可能是 SKU 的 1/3 到 1/2 左右，可能會少一些。

Yes, it's less.

是的，它更少了。

The way that you could think through it, you could reverse engineer it is like this.

你可以通過它思考的方式，你可以對它進行逆向工程，就像這樣。

You know what our Gaming lineup looks like for desktops.

您知道我們的桌面遊戲產品陣容是什麼樣的。

And so traditionally we try to have a new architecture in every single segment.

因此，傳統上，我們嘗試在每個細分市場都採用新架構。

And we've not gone below 499 yet.

而且我們還沒有低於 499。

And so there's a very big part of the marketplace that we're still in the process of addressing.

因此，我們仍在處理市場的很大一部分。

And then the second thing is laptops.

第二件事是筆記本電腦。

None of those -- none of the Ampere architecture has launched for laptops.

這些都沒有——Ampere 架構都沒有針對筆記本電腦推出。

And then there's workstations.

然後是工作站。

And you do the same thing with desktops workstations and laptops workstations.

你對台式機工作站和筆記本電腦工作站做同樣的事情。

And none of them -- none of those have gone out yet.

而且它們都沒有——它們都還沒有消失。

And then there's data center.

然後是數據中心。

In our data center business for cloud, you've seen some of the early versions of it, A100.

在我們的雲數據中心業務中，您已經看到了它的一些早期版本，A100。

But then there's cloud computing for graphics.

但是還有用於圖形的雲計算。

There's cloud gaming.

有云遊戲。

There's enterprise -- edge enterprise applications, enterprise data analytics applications.

有企業——邊緣企業應用程序、企業數據分析應用程序。

And so there's a fair number of exciting new products we still have in front of us.

因此，我們面前還有很多令人興奮的新產品。

That concludes our Q&A for today.

今天的問答到此結束。

I now turn the call back to Ms. Jankowski for closing remarks.

我現在把電話轉回給 Jankowski 女士做結束語。

Actually, that will be for Jensen.

實際上，這將是給 Jensen 的。

My apologies.

我很抱歉。

Okay.

好的。

Thank you.

謝謝你。

Thank you, Simona.

謝謝你，西蒙娜。

This was a terrific quarter.

這是一個了不起的季度。

NVIDIA is firing on all cylinders.

英偉達正在全力以赴。

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.

RTX 重新發明了圖形，使實時光線追踪成為下一代內容的標準，為數億 NVIDIA 遊戲玩家創造了升級的最佳理由。

AI, where software writes software no humans can, is the most powerful technology force of our time and is impacting every industry.

人工智能，軟件編寫人類無法編寫的軟件，是我們這個時代最強大的技術力量，正在影響每個行業。

NVIDIA AI again swept MLPerf training and now inference as well, extending our leadership in this important new way of doing computing.

NVIDIA AI 再次席捲 MLPerf 訓練和推理，擴大了我們在這種重要的新計算方式方面的領導地位。

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 的新 Triton 推理服務器，這個平台我將在未來更頻繁地談論它，因為它很重要——而且我們的全棧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，開啟重大增長機會。

Data centers are the new unit of computing.

數據中心是新的計算單元。

Someday, we believe there will be millions of autonomous data centers distributed all over the globe.

總有一天，我們相信將有數百萬個自治數據中心分佈在全球各地。

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 可編程片上數據中心和我們豐富的軟件堆棧將有助於將 AI 數據中心放置在工廠、倉庫、5G 基站甚至輪子上。

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.

隨著我們即將收購 ARM，這家製造最多的公司——世界上最受歡迎的 CPU，我們將創建人工智能時代的計算公司，計算從雲擴展到數万億台設備。

Thank you for joining us today.

感謝您今天加入我們。

I wish all of you a happy holidays.

祝大家節日快樂。

And please do stay safe, and I look forward to seeing you guys next time.

請注意安全，期待下次再見。

That concludes today's conference call.

今天的電話會議到此結束。

You may now disconnect.

您現在可以斷開連接。