輝達 (NVDA) 2022 Q4 法說會逐字稿

Good afternoon. My name is David, and I will be your conference operator today. At this time, I'd like to welcome everyone to NVIDIA's fourth quarter earnings call. Today's conference is being recorded. (Operator Instructions)

下午好。我的名字是大衛，今天我將成為您的會議接線員。在這個時候，我想歡迎大家參加 NVIDIA 的第四季度財報電話會議。今天的會議正在錄製中。 （操作員說明）

Simona Jankowski, you may begin your conference.

Simona Jankowski，你可以開始你的會議了。

Thank you. Good afternoon, everyone, and welcome to NVIDIA's Conference Call for the Fourth Quarter of Fiscal 2022.

謝謝你。大家下午好，歡迎參加 NVIDIA 2022 財年第四季度電話會議。

With me today from NVIDIA are Jensen Huang, President and Chief Executive Officer; and Colette Kress, Executive Vice President and Chief Financial Officer.

今天和我一起來自 NVIDIA 的是總裁兼首席執行官 Jensen Huang；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. The webcast will be available for replay until the conference call to discuss our financial results for the first quarter of fiscal 2023.

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。在電話會議討論我們 2023 財年第一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. It can't be reproduced or transcribed without our prior written consent.

今天通話的內容是 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.

在本次電話會議期間，我們可能會根據當前預期做出前瞻性陳述。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。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, February 16, 2022, 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基於我們目前可獲得的信息，截至今天，2022 年 2 月 16 日。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 GAAP 財務指標。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。

Thanks, Simona.

謝謝，西蒙娜。

We had an excellent quarter with revenue up 53% year-on-year to $7.6 billion. We set records for total revenue as well as for Gaming, Data Center and Professional Visualization. Full year revenue was a record $26.9 billion, up 61%, compounding the prior year's growth of 53%.

我們有一個出色的季度，收入同比增長 53% 至 76 億美元。我們創造了總收入以及遊戲、數據中心和專業可視化的記錄。全年收入達到創紀錄的 269 億美元，增長 61%，與上一年 53% 的增長相得益彰。

Starting with Gaming. Revenue of $3.4 billion rose 6% sequentially and was up 37% from a year earlier. Fiscal year revenue of $12.5 billion was up 61%. Gaming has become the top entertainment medium that continues to show strong momentum. Just last month, Steam hit a record 28 million concurrent users, up 50% in 2 years.

從遊戲開始。收入 34 億美元，環比增長 6%，同比增長 37%。財年收入為 125 億美元，增長 61%。遊戲已成為繼續呈現強勁勢頭的頂級娛樂媒體。就在上個月，Steam 的並髮用戶達到了創紀錄的 2800 萬，兩年內增長了 50%。

Record desktop revenue in the quarter was led by our growth in our GeForce RTX 30 Series products with continued strength in the high end. At CES, we announced the RTX 3050 GPU, which hit retail in late January, bringing NVIDIA RTX and AI technologies to more mainstream audiences.

本季度創紀錄的台式機收入是由我們的 GeForce RTX 30 系列產品的增長引領的，並且在高端領域持續強勁。在 CES 上，我們發布了 RTX 3050 GPU，它於 1 月下旬上市，將 NVIDIA RTX 和 AI 技術帶給更多主流觀眾。

Laptop gaming revenue also set a record, driven by the ramp of the new GeForce RTX 3070 Ti and 3080 Ti GPUs, which were also announced at CES. These leverage our fourth-generation Max-Q technology to enable quiet sim and light gaming laptops.

筆記本電腦遊戲收入也創下了新紀錄，這得益於新的 GeForce RTX 3070 Ti 和 3080 Ti GPU，它們也在 CES 上宣布。這些利用我們的第四代 Max-Q 技術來實現安靜的 sim 和輕型遊戲筆記本電腦。

All in, we announced over 160 new laptop designs for NVIDIA Ampere architecture RTX 30 Series GPUs. These include a number of studio systems targeting the tens of millions of creators, driving the future of design, innovation and virtual world. In addition to supporting the new RTX 30 Series GPUs, Studio laptops future support for NVIDIA software like Omniverse, (inaudible) and Broadcast.

總之，我們宣布了超過 160 款適用於 NVIDIA Ampere 架構 RTX 30 系列 GPU 的新筆記本電腦設計。其中包括一些針對數千萬創作者的工作室系統，推動了設計、創新和虛擬世界的未來。除了支持新的 RTX 30 系列 GPU 之外，Studio 筆記本電腦未來還支持 Omniverse、（聽不清）和 Broadcast 等 NVIDIA 軟件。

Availability of our gaming products in the channel remains low. NVIDIA RTX ecosystem continues to expand with over 30 new RTX games and applications added this quarter, including blockbuster hits like Battlefield 2042, Grand Theft Auto: The Trilogy, Call of Duty: Vanguard and God of War. In addition, several new titles support NVIDIA Reflex for low latency gameplay.

我們的遊戲產品在渠道中的可用性仍然很低。 NVIDIA RTX 生態系統繼續擴展，本季度新增了 30 多款新 RTX 遊戲和應用程序，包括《戰地 2042》、《俠盜獵車手：三部曲》、《使命召喚：先鋒》和《戰神》等大片。此外，一些新遊戲支持 NVIDIA Reflex 以實現低延遲遊戲。

Our GPUs are capable of cryptocurrency mining where we have limited visibility into how much of this impacts our overall GPU demand. Nearly all desktop NVIDIA Ampere architecture GeForce GPU shipments are light [catch] rate to help direct GeForce supply to gamers. Cryptomining processor revenue was $24 million, which is included in OEM and other.

我們的 GPU 能夠進行加密貨幣挖掘，但我們對其整體 GPU 需求的影響程度有限。幾乎所有台式機 NVIDIA Ampere 架構 GeForce GPU 出貨量都很低，有助於將 GeForce 直接供應給遊戲玩家。 Cryptomining 處理器收入為 2400 萬美元，其中包括 OEM 和其他。

We continue to expand the NVIDIA GeForce NOW cloud gaming ecosystem with new hit titles, including EA's Battlefield 4 and Battlefield V. At CES, we announced a partnership with Samsung to integrate GeForce NOW in its smart TVs starting in Q2 of this year. This follows last month's beta release of the GeForce NOW app for LG smart TVs. In addition, we teamed up with AT&T to bring GeForce NOW to 5G mobile devices in the U.S. We also added our first GFN data center in Canada.

我們繼續通過新的熱門遊戲擴展 NVIDIA GeForce NOW 雲遊戲生態系統，包括 EA 的《戰地風雲 4》和《戰地風雲 V》。在 CES 上，我們宣布與三星合作，從今年第二季度開始將 GeForce NOW 集成到其智能電視中。這是繼上個月針對 LG 智能電視的 GeForce NOW 應用程序的測試版發布之後。此外，我們與 AT&T 合作，將 GeForce NOW 引入美國的 5G 移動設備。我們還在加拿大增加了我們的第一個 GFN 數據中心。

Moving to Pro Visualization. Q4 revenue was $643 million was up 11% sequentially and up 109% from a year ago. Fiscal year revenue of $2.1 billion was up 100%. Sequential growth in the quarter was driven by a shift to higher-value workstation and the continued ramp of our NVIDIA Ampere architecture.

轉向專業可視化。第四季度收入為 6.43 億美元，環比增長 11%，同比增長 109%。財年收入為 21 億美元，增長 100%。本季度的連續增長是由轉向更高價值的工作站和我們的 NVIDIA Ampere 架構的持續增長推動的。

We believe strong demand is fueled by continued build-outs for hybrid work environment as well as growth in key workloads, including 3D design, AI and rendering. For example, Sony Pictures ImageWorks is using NVIDIA RTX to accelerate ray tracing for rendering-related applications. Volkswagen is using NVIDIA RTX for AI to assist in predictive maintenance of their vehicles. And Duke Energy is using NVIDIA RTX for AI and VR to map, view and maintain energy facilities.

我們認為，混合工作環境的持續建設以及關鍵工作負載（包括 3D 設計、人工智能和渲染）的增長推動了強勁的需求。例如，Sony Pictures ImageWorks 正在使用 NVIDIA RTX 來加速渲染相關應用程序的光線追踪。大眾汽車正在使用 NVIDIA RTX for AI 來協助對其車輛進行預測性維護。 Duke Energy 正在使用 NVIDIA RTX for AI 和 VR 來繪製、查看和維護能源設施。

NVIDIA Omniverse enterprise software entered general availability. And while it's still in early days, customer feedback so far has been very positive, with multiple significant enterprise licensees already signed. In addition to software licenses, Omniverse also drives computing opportunity for NVIDIA RTX in laptops, workstations and on-prem servers and the cloud. Omniverse can be used by individuals for free and by enterprise teams via software subscriptions.

NVIDIA Omniverse 企業軟件進入全面上市階段。雖然仍處於早期階段，但到目前為止，客戶的反饋非常積極，已經簽署了多個重要的企業許可證。除了軟件許可之外，Omniverse 還為 NVIDIA RTX 在筆記本電腦、工作站和本地服務器以及雲中帶來了計算機會。 Omniverse 可供個人免費使用，也可供企業團隊通過軟件訂閱使用。

At CES, we made the free version of Omniverse for individuals' general availability. Omniverse allows creators with RTX GPUs to connect leading 3D design applications to a single theme and supercharge their work with AI and physics. We also announced early access to Omniverse Cloud, which adds one-click capability to collaborate with other artists, whether across the room or across the globe.

在 CES 上，我們製作了 Omniverse 的免費版本，供個人普遍使用。 Omniverse 允許使用 RTX GPU 的創作者將領先的 3D 設計應用程序連接到單個主題，並通過 AI 和物理增強他們的工作。我們還宣布提前訪問 Omniverse Cloud，它增加了與其他藝術家合作的一鍵式功能，無論是在房間內還是在全球範圍內。

For digital twin applications, we announced the Isaac Autonomous Mobile Robot platform using Omniverse and securely orchestrated and cloud delivered with fleet commands the platform optimizes operational efficiency and accelerates deployment from logistics robots. It consists of several NVIDIA AI technologies and SDKs, including date map for high-precision mapping, metropolis or situational awareness and reop for real-time route optimization.

對於數字孿生應用，我們發布了 Isaac 自主移動機器人平台，該平台使用 Omniverse 並通過車隊命令進行安全編排和雲交付，該平台優化了運營效率並加速了物流機器人的部署。它由多種 NVIDIA AI 技術和 SDK 組成，包括用於高精度地圖繪製的日期地圖、大都市或態勢感知以及用於實時路線優化的 reop。

Moving to automotive. Q4 revenue was $125 million, declined 7% sequentially and 14% from the year-ago quarter. Fiscal year revenue of $566 million was up 6%. We have just started shipments of our Orin-based product platform and expect to return to sequential revenue growth in Q1 with more meaningful inflection in the second half of the fiscal year and momentum building into calendar 2023 and beyond.

轉向汽車。第四季度收入為 1.25 億美元，環比下降 7%，同比下降 14%。財年收入為 5.66 億美元，增長 6%。我們剛剛開始出貨基於 Orin 的產品平台，預計第一季度收入將恢復連續增長，並在本財年下半年出現更有意義的變化，並在 2023 年及以後形成勢頭。

I will now hand it over to Jensen to provide more color on this morning's automotive news.

我現在將把它交給 Jensen 來為今天早上的汽車新聞提供更多色彩。

Thanks, Colette.

謝謝，科萊特。

Earlier today, we announced a partnership with Jaguar Land Rover to jointly develop and deliver fleets of software-defined cars. Starting in 2025, all new Jaguar and Land Rover vehicles will have next-generation automated driving systems, plus AI-enabled software and services built on the NVIDIA DRIVE platform. DRIVE Orin will be the AI computer brain running our DRIVE AV and DRIVE IX software, and the DRIVE Hyperion sensor network will be the central nervous system.

今天早些時候，我們宣布與捷豹路虎合作，共同開發和交付軟件定義汽車車隊。從 2025 年開始，所有新的捷豹和路虎汽車都將配備下一代自動駕駛系統，以及基於 NVIDIA DRIVE 平台構建的支持人工智能的軟件和服務。 DRIVE Orin 將是運行我們的 DRIVE AV 和 DRIVE IX 軟件的 AI 計算機大腦，DRIVE Hyperion 傳感器網絡將是中樞神經系統。

This new vehicle architecture will enable a wide spectrum of active safety, automated driving and parking systems. Inside the vehicle, the system will deliver AI features, including driver and occupant monitoring and advanced visualization of the vehicle's surroundings.

這種新的車輛架構將支持廣泛的主動安全、自動駕駛和停車系統。在車輛內部，該系統將提供人工智能功能，包括駕駛員和乘員監控以及車輛周圍環境的高級可視化。

We are very much looking forward to partnering with Thierry Bolloré, JLR's CEO, and his team to reinvent the future of luxury cars. Our full stack end-to-end approach is a new business model that offers downloadable AV and AI services to the fleet of JLR vehicles with a shared software revenue stream for both companies over the life of the fleet.

我們非常期待與捷豹路虎首席執行官蒂埃里·博洛雷 (Thierry Bolloré) 及其團隊合作，重塑豪華汽車的未來。我們的全棧端到端方法是一種新的商業模式，它為捷豹路虎車隊提供可下載的 AV 和 AI 服務，並在車隊的整個生命週期內為兩家公司共享軟件收入流。

This partnership follows the template of our announcement with Mercedes-Benz. Our shared software revenue opportunity with both OEMs will scale with the size of their NVIDIA-powered fleet, which, combined, can exceed 10 million cars over a decade.

這種合作關係遵循我們與梅賽德斯-奔馳的公告模板。我們與兩家 OEM 共享的軟件收入機會將隨著其 NVIDIA 驅動車隊的規模而擴大，這些車隊在 10 年內合計可超過 1000 萬輛汽車。

Colette, back to you.

科萊特，回到你身邊。

Thanks, Jensen.

謝謝，詹森。

Moving to Data Center. Record revenue of $3.3 billion grew 11% sequentially and 71% from a year earlier. Fiscal year revenue of $10.6 billion was up 58%. Data center growth in the quarter was once again led by our compute products on strong demand for NVIDIA AI. Hyperscale and cloud demand was outstanding, with revenue more than doubling year-on-year. Vertical industries also posted strong double-digit year-on-year growth led by consumer Internet companies.

遷移到數據中心。創紀錄的 33 億美元收入環比增長 11%，同比增長 71%。財年收入為 106 億美元，增長 58%。由於對 NVIDIA AI 的強勁需求，我們的計算產品再次引領本季度的數據中心增長。超大規模和雲需求突出，收入同比增長一倍以上。在消費互聯網公司的帶動下，垂直行業也實現了強勁的兩位數同比增長。

The flagship NVIDIA A100 GPU continue to drive strong growth. Inference-focused revenue more than tripled year-on-year. Accelerating inference growth has been enabled by widespread adoption of our Triton Inference Server software, which helps customers deliver fast and scalable AI in production. Data center compute demand was driven by continued deployment of our Ampere architecture-based products for fast-growing AI workloads such as natural language processing and deep learning recommendation systems as well as cloud computing.

旗艦 NVIDIA A100 GPU 繼續推動強勁增長。以推理為中心的收入同比增長了兩倍多。通過廣泛採用我們的 Triton 推理服務器軟件，加速了推理增長，該軟件可幫助客戶在生產中交付快速且可擴展的 AI。數據中心計算需求是由我們基於 Ampere 架構的產品的持續部署推動的，這些產品用於快速增長的 AI 工作負載，例如自然語言處理和深度學習推薦系統以及雲計算。

For example, Block Inc., a global leader in payment, uses conversational AI in its Square Assistant to schedule appointments with customers. These AI models are trained on NVIDIA GPUs and AWS and perform inference 10x faster on the AWS GP service and on our CPUs. Social media company, Snap, used NVIDIA GPUs and Merlin deep recommender software to improve inference cost efficiency by 50% and decrease latency to 2x.

例如，支付領域的全球領導者 Block Inc. 在其 Square Assistant 中使用對話式人工智能來安排與客戶的約會。這些 AI 模型在 NVIDIA GPU 和 AWS 上進行訓練，在 AWS GP 服務和我們的 CPU 上執行推理速度快 10 倍。社交媒體公司 Snap 使用 NVIDIA GPU 和 Merlin 深度推薦軟件將推理成本效率提高了 50%，並將延遲降低到 2 倍。

For the third row -- year in a row, industry benchmarks show that NVIDIA AI continues to lead the industry in performance. Along with partners like Microsoft Azure, NVIDIA set records in the latest MLPerf benchmarks for AI training across 8 popular AI workloads, including computer vision, natural language processing, recommendation systems, reinforcement learning and object detection. NVIDIA AI was the only platform to make submissions across all benchmarks and use cases, demonstrating versatility as well as high performance.

第三行——連續一年，行業基準顯示 NVIDIA AI 繼續在性能上領先於行業。 NVIDIA 與 Microsoft Azure 等合作夥伴一起在最新的 MLPerf 基準測試中創下了記錄，該基準針對 8 種流行的 AI 工作負載進行 AI 訓練，包括計算機視覺、自然語言處理、推薦系統、強化學習和對象檢測。 NVIDIA AI 是唯一一個提交所有基準和用例的平台，展示了多功能性和高性能。

The numbers show performance gains on our A100 GPUs of over 5x in just 18 months, thanks to continuous innovations across the full stack in AI algorithms, optimization tools and system software. Over the past 3 years, they show performance gains of over 20x powered by advances we have made across our full stack offering GPUs, networks, systems and software.

數據顯示，我們的 A100 GPU 在短短 18 個月內的性能提升超過 5 倍，這要歸功於 AI 算法、優化工具和系統軟件的全棧持續創新。在過去的 3 年中，由於我們在提供 GPU、網絡、系統和軟件的全棧方面取得的進步，它們顯示出超過 20 倍的性能提升。

The leading performance of NVIDIA AI is sought after by some of the world's most technically advanced companies. Meta Platforms unveiled its new AI supercomputer research, SuperCluster, with over 6,000 A100 GPUs moved to an NVIDIA platform InfiniBand network. Meta's earliest benchmarks showed its system can train large natural language processing models 3x faster and run computer vision jobs 20x faster than the prior system.

NVIDIA AI 的領先性能受到世界上一些技術最先進的公司的追捧。 Meta Platforms 公佈了其新的 AI 超級計算機研究 SuperCluster，將超過 6,000 個 A100 GPU 移至 NVIDIA 平台 InfiniBand 網絡。 Meta 最早的基準測試表明，其係統訓練大型自然語言處理模型的速度比之前的系統快 3 倍，運行計算機視覺作業的速度快 20 倍。

In a second phase later this year, the system will expand to 16,000 GPUs that Meta believes will deliver 5 exaFLOPS of mixed precision AI performance. In addition to performance at scale, Meta cited extreme reliability, security, privacy and flexibility to handle a wide range of AI models as its key criteria for the system.

在今年晚些時候的第二階段，該系統將擴展到 16,000 個 GPU，Meta 認為這些 GPU 將提供 5 exaFLOPS 的混合精度 AI 性能。除了大規模性能之外，Meta 還引用了處理各種 AI 模型的極高可靠性、安全性、隱私性和靈活性作為其係統的關鍵標準。

We continue to broaden the reach and ease with adoption of NVIDIA AI into vertical industries. Our ecosystem of NVIDIA-certified systems expanded with Cisco and Hitachi (inaudible), which joined Dell, HewlettPackard Enterprise, Inspur, Lenovo and Supermicro, among other several manufacturers. We released version 1.1 of our NVIDIA AI Enterprise software, allowing enterprises to run accelerated AI workloads on VMware vSphere on mainstream IT infrastructure as well. And we expanded the number of system integrators qualified for NVIDIA AI Enterprise.

通過將 NVIDIA AI 應用到垂直行業，我們將繼續擴大覆蓋面和便利性。我們的 NVIDIA 認證系統生態系統隨著 Cisco 和 Hitachi（聽不清）擴展，加入了 Dell、HewlettPackard Enterprise、Inspur、Lenovo 和 Supermicro 等幾家製造商。我們發布了 NVIDIA AI Enterprise 軟件 1.1 版，允許企業在主流 IT 基礎架構上的 VMware vSphere 上運行加速的 AI 工作負載。我們擴大了符合 NVIDIA AI Enterprise 資格的系統集成商的數量。

Forrester Research, in its evaluation of Enterprise AI infrastructure providers, recognized NVIDIA in the top category of leaders. An example of a partner that's helping to expand our reach into enterprise IT is Deloitte, a leading global consulting firm, which has built its center for AI computing on NVIDIA DGX SuperPODs. At CES, we extended our collaboration to AV development, leveraging our own robust AI infrastructure and Deloitte's team of 5,500 system integration developers and 2,000 data scientists to architect solutions for truly intelligent transportation.

Forrester Research 在對企業 AI 基礎設施提供商的評估中，將 NVIDIA 評為頂級領導者。幫助我們將業務範圍擴大到企業 IT 的合作夥伴的一個例子是德勤，這是一家全球領先的諮詢公司，它在 NVIDIA DGX SuperPOD 上建立了人工智能計算中心。在 CES 上，我們將合作擴展到自動駕駛汽車開發，利用我們自己強大的人工智能基礎設施和德勤由 5,500 名系統集成開發人員和 2,000 名數據科學家組成的團隊，為真正的智能交通構建解決方案。

Our networking products posted strong sequential and year-over-year growth, driven by exceptional demand across use cases ranging from core computing, supercomputing and enterprise to storage. Internet adopters led growth driven by adoption of our next-generation products and higher-speed deployments. While revenue was gated by supply, we anticipate improving capacity in coming quarters, which should allow us to serve with significant customer demands we are seeing.

在從核心計算、超級計算和企業到存儲等用例的異常需求的推動下，我們的網絡產品實現了強勁的連續和同比增長。由於採用我們的下一代產品和更高速的部署，互聯網採用者引領了增長。雖然收入受供應限制，但我們預計未來幾個季度的產能將有所提高，這將使我們能夠滿足我們所看到的重要客戶需求。

Across the board, we are excited about the traction we are seeing with our new software business models, including NVIDIA AI, NVIDIA Omniverse and NVIDIA DRIVE. We are still early in the software revenue ramp. Our pipelines are building as customers across the industries seek to accelerate their pace of adoption and innovation with NVIDIA.

總體而言，我們對我們的新軟件業務模式（包括 NVIDIA AI、NVIDIA Omniverse 和 NVIDIA DRIVE）所看到的牽引力感到興奮。我們仍處於軟件收入增長的早期階段。隨著各行各業的客戶尋求通過 NVIDIA 加快採用和創新的步伐，我們的管道正在建設中。

Now let me turn it back over to Jensen for some comments on Arm.

現在讓我把它轉回給 Jensen，讓我對 Arm 發表一些評論。

Thanks, Colette.

謝謝，科萊特。

Last week, we terminated our efforts to purchase Arm. When we entered into the transaction in September 2020, we believe that would accelerate Arm's focus on high-performance CPUs and and help Arm expand into new markets, benefiting all our customers in the entire ecosystem.

上週，我們終止了收購 Arm 的努力。當我們在 2020 年 9 月達成交易時，我們相信這將加速 Arm 對高性能 CPU 的關注，並幫助 Arm 拓展新市場，造福整個生態系統中的所有客戶。

Like any combination of pioneers of important technologies, our proposed acquisition spurred questions from regulators worldwide. We appreciated the regulatory concerns. For over a year, we worked closely with SoftBank and Arm to explain our vision for Arm and reassure regulators that NVIDIA would be a worthy steward of the Arm ecosystem. We gave it our best shot, but the headwinds were too strong and we could not give regulators the comfort they needed to approve our deal.

與重要技術先驅的任何組合一樣，我們提議的收購引發了全球監管機構的質疑。我們讚賞監管方面的擔憂。一年多來，我們與軟銀和 Arm 密切合作，解釋我們對 Arm 的願景，並向監管機構保證 NVIDIA 將成為 Arm 生態系統的當之無愧的管理者。我們盡了最大的努力，但逆風太強了，我們無法給監管機構批准我們交易所需的安慰。

NVIDIA's work in accelerated computing and our overall strategy will continue as before. Our focus is accelerated computing. We are on track to launch our Arm-based Grace CPU, targeting giant AI and HPC workloads in the first half of next year. Our 20-year architectural license to Arm's IP allows us the full breadth and flexibility of options across technologies and markets. We will deliver on our 3-chip strategy across CPUs, GPUs and DPUs. Whether x86 or Arm, we will use the best CPU for the job, and together with partners in the computer industry, offer the world's best computing platform to tackle the impactful challenges of our time.

NVIDIA 在加速計算方面的工作以及我們的整體戰略將一如既往地繼續下去。我們的重點是加速計算。我們有望在明年上半年推出基於 Arm 的 Grace CPU，針對巨大的 AI 和 HPC 工作負載。我們對 Arm 的 IP 擁有 20 年的架構許可，使我們能夠在各種技術和市場中擁有完整的選擇範圍和靈活性。我們將在 CPU、GPU 和 DPU 上實施我們的 3 芯片戰略。無論是 x86 還是 Arm，我們都將使用最好的 CPU 來完成這項工作，並與計算機行業的合作夥伴一起，提供世界上最好的計算平台來應對我們這個時代具有影響力的挑戰。

Back to you, Colette.

回到你身邊，科萊特。

Thanks, Jensen.

謝謝，詹森。

We're going to turn to our P&L and our outlook. For the discussion of the rest of the P&L, please refer to the CFO commentary published earlier today on our Investor Relation website.

我們將轉向我們的損益表和展望。有關損益表其餘部分的討論，請參閱今天早些時候在我們的投資者關係網站上發布的首席財務官評論。

Let me turn to the outlook for the first quarter of fiscal 2023. We expect sequential growth to be driven primarily by Data Center. Gaming will also contribute to growth. Revenue is expected to be $8.1 billion, plus or minus 2%. GAAP and non-GAAP gross margins are expected to be 65.2% and 67%, respectively, plus or minus 50 basis points. GAAP operating expenses are expected to be $3.55 billion, including the Arm write-off of $1.36 billion. Non-GAAP operating expenses are expected to be $1.6 billion. For this fiscal year, we expect to grow non-GAAP operating expenses at a similar percent as in fiscal 2022. GAAP and non-GAAP other operating -- other income and expenses are both expected to be an expense of approximately $55 million, excluding gains and losses on nonaffiliated investments. GAAP and non-GAAP tax rates are expected to be 11% and 13%, plus or minus 1%, excluding discrete items. Capital expenditures are expected to be approximately $350 million to $400 million. Further financial details are included in the CFO commentary and other information available on our IR website.

讓我談談 2023 財年第一季度的展望。我們預計連續增長將主要由數據中心推動。遊戲也將有助於增長。收入預計為 81 億美元，正負 2%。 GAAP 和非 GAAP 毛利率預計分別為 65.2% 和 67%，上下浮動 50 個基點。 GAAP 運營費用預計為 35.5 億美元，其中包括 Arm 註銷的 13.6 億美元。非公認會計原則的運營費用預計為 16 億美元。在本財年，我們預計非 GAAP 運營支出的增長速度與 2022 財年相似。GAAP 和非 GAAP 其他運營——其他收入和支出預計均約為 5500 萬美元，不包括收益以及非關聯投資的損失。 GAAP 和非 GAAP 稅率預計為 11% 和 13%，正負 1%，不包括離散項目。資本支出預計約為 3.5 億至 4 億美元。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. We will be attending the Morgan Stanley Technology, Media and Telecom Conference in person on March 7. We will also be hosting a virtual Investor Day on March 22, alongside the GPU Technology Conference. This will follow Jensen's opening keynote, which we invite you to tune into. Our earnings call to discuss the results for our first quarter of fiscal 2023 is scheduled for Wednesday, May 25.

最後，讓我強調一下金融界即將發生的事件。我們將於 3 月 7 日親自參加摩根士丹利技術、媒體和電信會議。我們還將在 3 月 22 日舉辦虛擬投資者日，同時舉辦 GPU 技術會議。這將遵循 Jensen 的開幕主題演講，我們邀請您收聽。我們將在 5 月 25 日星期三召開財報電話會議，討論 2023 財年第一季度的業績。

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

我們現在將打開問題的電話。接線員，請您投票提問嗎？

(Operator Instructions) We'll take our first question from Toshiya Hari with Goldman Sachs and Company.

（操作員說明）我們將回答高盛公司的 Toshiya Hari 提出的第一個問題。

Great. Jensen and Colette, I wanted to ask about Data Center. Colette, based on your guidance, you're probably guiding Data Center growth on a year-over-year basis to accelerate into the April quarter. You talked about hyperscale cloud growing more than 2x and enterprise verticals growing strong double digits in the January quarter. Can you kind of speak to the drivers for April and perhaps speak to visibility into the second half of the fiscal year as well in Data Center?

偉大的。 Jensen 和 Colette，我想問一下關於數據中心的問題。 Colette，根據您的指導，您可能正在指導數據中心的同比增長，以加速進入 4 月季度。您談到了超大規模雲增長超過 2 倍，企業垂直行業在 1 月季度增長強勁兩位數。您能否與 4 月份的司機談談，或許可以談談對本財年下半年以及數據中心的可見性？

I'll start and I'll turn it over to Jensen.

我會開始，我會把它交給 Jensen。

For Q1, our guidance can include an acceleration of Data Center from where we left in terms of Q4. We will have growth across several of our market platforms within Q1, both Data Center, Gaming and probably a couple of others. But yes, there is expected to be accelerated growth as we move into Q1.

對於第一季度，我們的指導可以包括數據中心從第四季度離開的地方加速。我們將在第一季度的幾個市場平台上實現增長，包括數據中心、遊戲以及可能的其他幾個平台。但是，是的，隨著我們進入第一季度，預計會有加速增長。

I will turn it over to Jensen to talk about the drivers that we see for the quarter and also for the full year.

我將把它交給 Jensen 來談談我們在本季度和全年看到的車手。

Yes. We have several -- first of all, Toshiya, great to hear from you.

是的。我們有幾個——首先，Toshiya，很高興收到你的來信。

We have several growth drivers in data centers. There's hyperscale, public cloud, enterprise core and enterprise edge. We're seeing growth across the entire spectrum. There are several different use cases that are particularly exciting, large language models -- language -- understanding models triggered by the invention of transformers, which is probably one of the most important AI models that's been invented in some time; and conversational AI used for customer service, chat bots, a whole bunch of customer service applications. It can be web-based. It could be point-of-sale-based. It could be cloud-based.

我們在數據中心有幾個增長動力。有超大規模、公共雲、企業核心和企業邊緣。我們看到整個範圍內的增長。有幾個不同的用例特別令人興奮，大型語言模型——語言——由轉換器的發明觸發的理解模型，這可能是一段時間以來最重要的人工智能模型之一；以及用於客戶服務、聊天機器人和一大堆客戶服務應用程序的對話式人工智能。它可以是基於網絡的。它可以是基於銷售點的。它可能是基於雲的。

Recommender systems, deep learning-based recommender systems are making groundbreaking improvements. And cloud graphics and all of the work that we're doing in -- and putting rendering or putting simulations up in the cloud. Cloud gaming, Android cloud gaming, are really driving adoption in the cloud. And so many different use cases across all of the different platforms in data centers.

推薦系統，基於深度學習的推薦系統正在做出突破性的改進。還有云圖形和我們正在做的所有工作——將渲染或模擬放在雲端。雲遊戲，Android 雲遊戲，真正推動了雲的採用。在數據中心的所有不同平台上都有如此多的不同用例。

Next, we'll go to C.J. Muse with Evercore ISI.

接下來，我們將與 Evercore ISI 一起前往 C.J. Muse。

I guess another question on the data center side. Curious if you can speak to supply constraints on the wafer side and whether that played a role in terms of capping revenues in the January quarter and how you see that becoming less of a headwind for you as you proceed through the year.

我猜數據中心方面的另一個問題。好奇您是否可以談論晶圓方面的供應限制，以及這是否在限制 1 月季度的收入方面發揮了作用，以及您如何看待這一年對您的不利影響。

Thanks, C.J., for the question. I'll start on the data center supply.

謝謝 C.J. 的提問。我將從數據中心供應開始。

As we discussed last quarter and discussed today, we still have some supply constraints across some of our businesses. Networking in the Data Center business has been supply constrained. We're improving every single day. And we do expect to improve supply each quarter as we enter into fiscal year '23 here. So that is probably the key area within our Data Center, but from time to time, there can be other types of focus on Data Center.

正如我們上個季度和今天討論的那樣，我們的一些業務仍然存在一些供應限制。數據中心業務中的網絡一直受到供應限制。我們每天都在進步。當我們在這裡進入 23 財年時，我們確實希望每個季度都能改善供應。所以這可能是我們數據中心的關鍵領域，但有時，數據中心可能會有其他類型的關注。

So I'll turn the rest of the question to Jensen in terms of how -- about the rest of the year as well.

因此，我將把剩下的問題交給 Jensen，就如何 - 關於今年剩下的時間。

Yes, and Colette captured it well. We are supply constrained. Our demand is greater than our supply. As you know, our Data Center product line consists of GPUs, mix, BlueField DPUs, Quantum and spectrum switches, HGX, if you will, system component, meaning that the entire motherboard or the entire GPU board is delivered in combination because it's so complicated. And so we have products that span a broad reach of use cases for data centers from training of AI models to inferencing at very large scale, to universal GPUs for public cloud, industry standard servers, commodity servers for enterprise use and supercomputing systems that use InfiniBand and Quantum switches. And so the application space is quite broad. We saw demand constrained pretty much across the entire range.

是的，科萊特很好地捕捉到了它。我們供應有限。我們的需求大於我們的供應。如您所知，我們的數據中心產品線包括 GPU、混合、BlueField DPU、Quantum 和頻譜開關、HGX，如果您願意的話，系統組件，這意味著整個主板或整個 GPU 板是組合交付的，因為它非常複雜.因此，我們的產品涵蓋了廣泛的數據中心用例，從 AI 模型訓練到超大規模推理，再到用於公共雲的通用 GPU、行業標準服務器、用於企業使用的商品服務器和使用 InfiniBand 的超級計算系統和量子開關。因此應用空間相當廣闊。我們看到整個範圍內的需求幾乎都受到限制。

Our operations team did a fantastic job this year, both in executing in all of these complicated products, but also in expanding our supply base. We expect supply to improve each and every quarter going forward. And this quarter, this coming quarter, the Q1 -- the April quarter is based on guidance that Colette just made, is consistent with an increasing supply base. We expect to still be demand constrained, but our supply base is going to increase this quarter, this next quarter and pretty substantially in the second half.

今年，我們的運營團隊在執行所有這些複雜產品方面做得非常出色，而且在擴大我們的供應基礎方面也做得非常出色。我們預計未來每個季度的供應都會有所改善。本季度，即將到來的季度，第一季度 - 四月季度基於 Colette 剛剛制定的指導，與不斷增加的供應基礎一致。我們預計需求仍將受到限制，但我們的供應基礎將在本季度、下一季度和下半年大幅增加。

Next, we'll go to Joe Moore with Morgan Stanley.

接下來，我們將與摩根士丹利一起去喬摩爾。

Great. I wonder if you could talk a little bit more about Grace now that the strategy is kind of separated from the acquisition of Arm. The -- what are your aspirations there? Is it going to be primarily oriented to the DGX and HGX Systems business versus merchant chips? Just how are you thinking about that opportunity long term?

偉大的。我想知道你是否可以多談談 Grace，因為該戰略與收購 Arm 有點分離。 - 你在那裡的願望是什麼？它是否將主要面向 DGX 和 HGX 系統業務而不是商業芯片？從長遠來看，您如何看待這個機會？

Yes. Thanks, Joe.

是的。謝謝，喬。

We have multiple-arm projects ongoing in the company from connected -- from devices to robotics processors such as the new Orin that's going into autonomous vehicles and robotic systems and industrial automation, robotics and such. Orin is doing incredibly well. It started production. And as we mentioned earlier, it's going to drive an inflection point starting in Q2, but accelerating through Q3 and the several years after as we ramp into all of the electric cars and all of the robotic applications and robotaxis and such.

我們公司正在進行多臂項目，從連接 - 從設備到機器人處理器，例如進入自動駕駛汽車和機器人系統以及工業自動化、機器人等的新 Orin。奧林做得非常好。它開始生產。正如我們之前提到的，它將在第二季度開始推動一個拐點，但隨著我們進入所有電動汽車和所有機器人應用程序和機器人出租車等，它會在第三季度和幾年後加速。

We also have Arm projects with the CPU that you mentioned, Grace. We have Grace and we surely have the follow-ons to Grace, and you could expect us to do a lot of CPU developments around the Arm architecture.

Grace，我們也有使用您提到的 CPU 的 Arm 項目。我們有 Grace，我們肯定有 Grace 的後續產品，您可以期待我們圍繞 Arm 架構進行大量 CPU 開發。

One of the things that's really developed nicely over the last couple of years is the success that Arm has seen in hyperscalers and data centers. And it's really accelerated and motivated them to accelerate the development of higher-end CPUs. And so you're going to see a lot of exciting CPUs coming from us and Grace is just the first example. You're going to see a whole bunch of them beyond that.

在過去幾年中真正發展得很好的一件事是 Arm 在超大規模和數據中心中取得的成功。它確實加速並激勵他們加速開發更高端的 CPU。所以你會看到很多令人興奮的 CPU 來自我們，Grace 只是第一個例子。除此之外，您還會看到一大堆。

But our strategy is accelerated computing. That's ultimately what we do for a living. We, as you know, love it where there's any CPUs. If it's an x86 from any vendor, so long as we have a CPU, we could connect NVIDIA's platform to it and accelerate it for artificial intelligence or computer graphics, robotics and such. And so we love to see the expansion of CPU footprints, and we're just thrilled that Arm is now growing into robotics and autonomous vehicles and cloud computing and supercomputing and in all these different applications. And we intend to bring the full spectrum of NVIDIA's accelerated computing platform to NVIDIA Arm CPUs.

但我們的戰略是加速計算。這最終是我們的謀生之道。如您所知，我們喜歡有 CPU 的地方。如果它是來自任何供應商的 x86，只要我們有 CPU，我們就可以將 NVIDIA 的平台連接到它並為人工智能或計算機圖形學、機器人技術等加速它。所以我們很高興看到 CPU 佔用空間的擴大，我們很高興 Arm 現在正在發展到機器人技術、自動駕駛汽車、雲計算和超級計算以及所有這些不同的應用程序中。我們打算將 NVIDIA 的全系列加速計算平台引入 NVIDIA Arm CPU。

Next, we'll go to John Pitzer with Credit Suisse.

接下來，我們將與瑞士信貸一起去約翰皮策。

Just on the inventory purchase obligations, I think this was the fourth quarter in a row where you've seen greater than 30% sequential growth and it's the first quarter where that number is now eclipsing kind of your quarterly revenue guidance. And so I guess I'm trying to figure out to what extent is this just a reflection of how tight things are across the semi industry? To what extent is this the poker tale of kind of how bullish you are on future demand?

僅就庫存購買義務而言，我認為這是連續第四個季度實現超過 30% 的環比增長，而且是該數字現在超過了您的季度收入指導的第一季度。所以我想我想弄清楚這在多大程度上只是反映了整個半導體行業的緊張程度？這在多大程度上是關於您對未來需求的樂觀程度的撲克故事？

And relative to your commentary that supply starts to get better throughout the year, should we expect that number to start to level off? Or as the mix moves more to data center and more to longer cycle times, more complicated devices, should that number continue to grow?

相對於你關於全年供應開始好轉的評論，我們是否應該期望這個數字開始趨於平穩？或者隨著組合更多地轉移到數據中心，更多地轉向更長的周期時間、更複雜的設備，這個數字是否應該繼續增長？

The factors, the drivers that you mentioned in the supply chain, we expanded our supply chain footprint significantly this year to prepare us for both increased supply base and supply availability in each one of the quarters going forward, but also in preparation for some really exciting product launches. As mentioned, Orin ramping into autonomous vehicles is brand new. This is the inflection point of us growing into autonomous vehicles. This is going to be a very large business for us going forward.

您在供應鏈中提到的因素，驅動因素，我們今年顯著擴大了我們的供應鏈足跡，為我們在未來每個季度增加供應基礎和供應可用性做好準備，同時也為一些真正令人興奮的事情做準備產品發布。如前所述，奧林涉足自動駕駛汽車是全新的。這是我們成長為自動駕駛汽車的轉折點。這對我們未來來說將是一項非常大的業務。

It was already mentioned, Grace is a brand-new product that has never been on NVIDIA's road map. And we already see great success with customers who love the architecture of it and desperately in need of the type of capability that Grace brings.

前面已經提到，Grace 是一款從未出現在 NVIDIA 路線圖上的全新產品。我們已經看到了客戶的巨大成功，他們喜歡它的架構並迫切需要 Grace 帶來的那種能力。

And this should be a pretty exciting year for new product launches. And so we're preparing for all of that laying the foundation for us to bring all those exciting products to the marketplace.

對於新產品的發布來說，今年應該是非常激動人心的一年。因此，我們正在為所有這些做好準備，為我們將所有這些令人興奮的產品推向市場奠定基礎。

Next, we'll go to Tim Arcuri with UBS.

接下來，我們將與瑞銀一起前往 Tim Arcuri。

Obviously, there's a lot more talk from you about software. And I think it's still kind of a little bit of a black box for a lot of investors. And I know, Jensen, that you've talked about software as a medium to basically open up new markets. But I'm wondering maybe if you can sort of quantify how big the software licensing revenue is today and maybe when you might start to break it out like you did data center, which really got the stock moving in a huge, huge way.

顯然，您對軟件的討論更多。而且我認為對於很多投資者來說，這仍然是一個黑匣子。我知道，Jensen，你談到了軟件作為一種媒介，基本上可以打開新市場。但我想知道你是否可以量化今天的軟件許可收入有多大，也許你什麼時候可以像數據中心一樣開始打破它，這真的讓股票以巨大的方式移動。

Yes. NVIDIA is a software-driven business. Accelerated computing is a software-driven business. It starts from recognizing what domain of applications we want to accelerate and can accelerate and then building an entire stack from the processor to the system to the system software, the acceleration engines and potentially even the applications itself, like the software that we were mentioning earlier, NVIDIA DRIVE, NVIDIA AI and NVIDIA Omniverse. These are applications that sit on top of system software and are really valuable to the marketplace.

是的。 NVIDIA 是一家軟件驅動型企業。加速計算是一項軟件驅動的業務。它從識別我們想要加速和可以加速的應用程序領域開始，然後構建從處理器到系統再到系統軟件、加速引擎甚至可能是應用程序本身的整個堆棧，就像我們之前提到的軟件一樣、NVIDIA DRIVE、NVIDIA AI 和 NVIDIA Omniverse。這些應用程序位於系統軟件之上，對市場非常有價值。

The way to think about our software licensing -- so we've always been a software-driven business, but for the very first time, we have packaged licensable software on -- available to customers. The way that we license software for NVIDIA AI Enterprise is per node of server. There's some 20 million, 25 million servers that are installed in the world today in enterprises, not including clouds. We believe that every single server in the future will be running AI software. And we would like to offer an engine that enables enterprises to be able to use the most advanced, the most trusted, the most utilized AI engine in the world. And so that is essentially the target market, if you will, for NVIDIA AI.

考慮我們的軟件許可的方式——所以我們一直是一個軟件驅動的企業，但我們第一次將可許可的軟件打包到——提供給客戶。我們為 NVIDIA AI Enterprise 許可軟件的方式是每個服務器節點。當今世界上有大約 2000 萬、2500 萬台服務器安裝在企業中，不包括雲。我們相信，未來每台服務器都將運行 AI 軟件。我們希望提供一種引擎，使企業能夠使用世界上最先進、最受信任、最常用的人工智能引擎。因此，如果您願意的話，這基本上就是 NVIDIA AI 的目標市場。

The NVIDIA Omniverse is targeting -- is designed for creators contributing content to a virtual world and connect it to robots that are contributing to content in a virtual world. And so it's based on connections. There are 40 million designers and creators around the world. There are going to be hundreds of millions of robots. Every single car will essentially be a robot someday. And those are connections that will be connected into a digital twin system like Omniverse. And those are -- so the Omniverse business model is per connection per year.

NVIDIA Omniverse 的目標是——專為向虛擬世界貢獻內容的創作者而設計，並將其連接到為虛擬世界中的內容作出貢獻的機器人。所以它是基於連接的。全球有 4000 萬設計師和創作者。將會有數億個機器人。總有一天，每一輛車都將成為機器人。這些連接將連接到像 Omniverse 這樣的數字孿生系統中。這些是 - 所以 Omniverse 商業模式是每年每個連接。

And in the case of NVIDIA DRIVE, we share the economics of the software that we deliver. If it's AB software or parking software or cabin-based AI software, whatever the licensing is or whatever the service, if it's an upfront license, we share the economics of that. If it's a monthly service subscription, we share the economics of that. But basically, for the cars that we are part of, that we're developing the end-to-end service, we will get the benefits of the economics of that for the entire life of the fleet of the car. And so you could imagine, with 10 million cars, with modern car lifetimes of 10 to 20 years, the economics and the market, the installed opportunity is quite high. And so our business opportunity is based on those factors.

就 NVIDIA DRIVE 而言，我們分享了我們提供的軟件的經濟性。如果是 AB 軟件、停車軟件或基於客艙的 AI 軟件，無論許可是什麼或服務是什麼，如果是預先許可，我們都會分享其經濟性。如果是按月訂閱服務，我們將分享其經濟性。但基本上，對於我們參與的汽車，我們正在開發端到端服務，我們將在汽車車隊的整個生命週期中獲得經濟收益。所以你可以想像，擁有 1000 萬輛汽車，現代汽車的使用壽命為 10 到 20 年，經濟和市場，安裝機會相當高。因此，我們的商機基於這些因素。

But our software business really, really started several years ago with virtual GPUs, but this year was when we really stepped it up and offered for the very first time NVIDIA AI Enterprise, Omniverse and DRIVE. And so I watch the spot. I think this is going to be a very significant business opportunity for us, and we look forward to reporting on it.

但我們的軟件業務確實在幾年前開始使用虛擬 GPU，但今年是我們真正加強並首次提供 NVIDIA AI Enterprise、Omniverse 和 DRIVE 的時候。所以我看著現場。我認為這對我們來說將是一個非常重要的商機，我們期待著對此進行報導。

Next, we'll go to Vivek Arya with Bank of America.

接下來，我們將與美國銀行一起前往 Vivek Arya。

Jensen, in the past, you mentioned about a 10% or so adoption rate for AI among your customer base. I was hoping you would quantify where we are in that adoption curve that you tend to differentiate between the adoption differences between your hyperscale and enterprise customers?

Jensen，過去，您提到您的客戶群中人工智能的採用率約為 10%。我希望您能量化我們在採用曲線中的位置，您傾向於區分超大規模和企業客戶之間的採用差異？

And then kind of related to that, is there an inorganic element to your growth now that you have over $20 billion of cash on the balance sheet? How are you planning to deploy that to kind of accelerate your growth also?

然後與此相關的是，既然您的資產負債表上有超過 200 億美元的現金，您的增長是否存在無機元素？你打算如何部署它來加速你的增長？

Yes. The applications for AI is unquestionably growing, and it's growing incredibly fast. Whether in enterprises and financial services, it could be fraud detection; in cases of consumer-pointing businesses, customer service, conversational AI where people are calling chat bots, but in the future, every website will have a chat bot. Every phone number will have a chat bot, whether it's a human in the loop or not human in the loop, will have a chat bot. And so customer service will be heavily, heavily supported by artificial intelligence in the future. Almost every point of sales, I think, whether it's a fast food or a quick service, businesses are going to have chat bots and AI-based customer service. Retail checkouts will be supported by AI agents.

是的。毫無疑問，人工智能的應用正在增長，而且增長速度非常快。無論是企業還是金融服務，都可能是欺詐檢測；在消費者指向業務、客戶服務、對話式人工智能的情況下，人們正在調用聊天機器人，但在未來，每個網站都會有一個聊天機器人。每個電話號碼都會有一個聊天機器人，無論是循環中的人還是非循環中的人，都會有一個聊天機器人。因此，未來客戶服務將受到人工智能的大力支持。我認為，幾乎每個銷售點，無論是快餐還是快速服務，企業都將擁有聊天機器人和基於人工智能的客戶服務。 AI 代理將支持零售結賬。

And so all of this is made possible by a couple of breakthroughs. Computer vision, of course, because the agents, the AIs have to make eye contact and recognize your posture and such, recognize speech, understand the context and what is being spoken about and have a reasonable conversation with people so that you could provide good customer service. The ability to have human in the loop is one of the great things about an AI, much, much more so than a recording, which obviously is not intelligent and therefore it's difficult to, if you will, call your manager or call somebody to provide services that it can't. And so the number of different applications that have been enabled by natural language understanding in customer service in just the last couple of years has grown tremendously.

所以這一切都是通過幾個突破來實現的。計算機視覺，當然，因為代理，人工智能必須進行眼神交流並識別您的姿勢等，識別語音，理解上下文和正在談論的內容，並與人們進行合理的對話，以便您可以提供良好的客戶服務。讓人類參與循環的能力是人工智能的一大優點，比錄音更重要，錄音顯然不是智能的，因此很難，如果你願意，打電話給你的經理或打電話給某人提供它不能提供的服務。因此，在過去的幾年裡，通過自然語言理解在客戶服務中啟用的不同應用程序的數量已經大大增加。

I think we're -- we remain early, early, early days in our adoption. It's incredible how fast it has grown and how many different applications are now possible with AI. It pretty much says that almost all future software will be written with AI or by AI. And when it's done, it will be an AI. And we see it in all these different industries. And so I'm pretty certain we're in the early innings yet of AI, and this is going to be one of the largest industries of software that we have ever known.

我認為我們是 - 我們在採用過程中仍然處於早期、早期、早期階段。令人難以置信的是，它的發展速度有多快，現在可以使用 AI 實現多少不同的應用程序。它幾乎說幾乎所有未來的軟件都將用人工智能或人工智能編寫。當它完成時，它將是一個人工智能。我們在所有這些不同的行業中都看到了這一點。所以我很確定我們還處於人工智能的早期階段，這將成為我們所知道的最大的軟件行業之一。

With respect to capital, we -- as you know, we had just terminated our Arm agreement. We have a regular capital strategy process and we'll go through that and we'll make the best judgment about how to use our capital in helping our growth and sustaining our growth and accelerating our growth. And we'll have all of those sensible conversations during those capital allocation meetings. We're just delighted to have so much capital and so -- just to put it out there.

關於資本，我們——如你所知，我們剛剛終止了我們的 Arm 協議。我們有一個定期的資本戰略流程，我們將通過它，我們將對如何使用我們的資本來幫助我們的增長、維持我們的增長和加速我們的增長做出最佳判斷。我們將在那些資本分配會議期間進行所有這些明智的對話。我們很高興擁有如此多的資金，所以 - 只是把它放在那裡。

And next, we'll go to Aaron Rakers with Wells Fargo.

接下來，我們將與富國銀行一起前往 Aaron Rakers。

This is Michael on behalf of Aaron. Can you guys talk about how the launch of the RTX 3050 is going so far? And maybe more broadly, your view of where we are in the Ampere product cycle on gaming?

這是代表亞倫的邁克爾。你們能談談到目前為止 RTX 3050 的發布進展如何嗎？也許更廣泛地說，您對我們在 Ampere 遊戲產品週期中的位置的看法？

Thanks, Michael. Let's see, we -- RTX is an unqualified home run. RTX completely reinvented modern computer graphics. It made -- it brought forward ray tracing about a decade earlier than anybody thought possible. The combination of RTX with artificial intelligence, which enabled this technology we call DLSS, is able to not only do a ton more computation using our Shader processors, but also engage the powerful Tensor 4 processors that we have in our GPUs to generate images, beautiful images.

謝謝，邁克爾。讓我們看看，我們——RTX 是一個不合格的本壘打。 RTX 徹底改造了現代計算機圖形。它比任何人想像的都早了大約十年，它提出了光線追踪。 RTX 與人工智能相結合，實現了我們稱之為 DLSS 的這項技術，不僅能夠使用我們的 Shader 處理器進行大量計算，還可以使用我們 GPU 中強大的 Tensor 4 處理器來生成圖像，非常漂亮圖片。

RTX is being adopted by just about every game developer on the planet now. It's being adopted by just about every design tool on the planet now. And if not for RTX, Omniverse wouldn't be possible. We wouldn't be able to do physically based path tracing and simulate sensors like radars and LiDARs and ultrasonics and, of course, cameras and simulate these cameras physically and still be able to deliver the type of performance that we deliver. And so RTX was a game changer for the industry. It reset modern computer graphics. And it was an enabler for us to build an entire new platform from [call] Omniverse.

現在地球上幾乎所有的遊戲開發者都在採用 RTX。現在地球上幾乎所有的設計工具都在採用它。如果不是 RTX，Omniverse 就不可能實現。我們將無法進行基於物理的路徑跟踪和模擬雷達、激光雷達和超聲波等傳感器，當然還有攝像頭和物理模擬這些攝像頭，但仍然能夠提供我們提供的性能類型。因此，RTX 改變了行業的遊戲規則。它重置了現代計算機圖形學。它使我們能夠從 [call] Omniverse 構建一個全新的平台。

We're about, I think, about 1/3 of the way through upgrading an installed base that is growing. You know that video games is now the world's largest gaming genre. And Steam, over the last 2 years, has grown by 50%. The number of concurrent players on Steam has grown tremendously. Not -- and in just the last couple of years, a brand new game store from Epic came on, and it's already a multi-hundred million dollar business. I think it's close to $1 billion. They're doing incredibly well. I'm so happy to see it. And so the overall gaming market is growing and it's growing quite nicely.

我認為，通過升級不斷增長的安裝基礎，我們大約完成了 1/3 的工作。你知道視頻遊戲現在是世界上最大的遊戲類型。 Steam 在過去 2 年中增長了 50%。 Steam 上的並發玩家數量大幅增長。不是——在過去的幾年裡，來自 Epic 的全新遊戲商店出現了，它已經是一項價值數億美元的業務。我認為這接近 10 億美元。他們做得非常好。我很高興看到它。所以整個遊戲市場正在增長，而且增長得相當不錯。

But the thing that, in addition to resetting computer graphics for our entire installed base, the growing of our installed base because gaming is growing, there are a couple of other growth dynamics that are associated with GeForce and RTX that's really quite brand new. One of them is hybrid work. This is a permanent condition. And we now are seeing across the board people who are designers and creators now have to set up essentially a new workstation or new home workstation design studio so that they could do their work at home.

但是，除了為我們的整個安裝基礎重置計算機圖形之外，我們的安裝基礎隨著遊戲的增長而增長，還有一些與 GeForce 和 RTX 相關的其他增長動力，這真的是全新的。其中之一是混合工作。這是一個永久的條件。我們現在全面看到設計師和創作者現在必須建立一個新的工作站或新的家庭工作站設計工作室，以便他們可以在家中工作。

In addition, the creative economy, the digital economy, the creative economy is really, really doing fantastically because everything has to be done in 3D now. Print ads are done in 3D. So 2D print is done in 3D. Video is done in 3D. And live video, broadcast video, the millions of influencers now augment their broadcast with rich augmented reality and 3D graphics. And so 3D graphics is now not just for video games and 3D content, it's actually used now for all forms of digital content creation. And so RTX has all of these different drivers working behind it, and we're definitely in the early innings of RTX.

此外，創意經濟、數字經濟、創意經濟真的非常非常出色，因為現在一切都必須在 3D 中完成。平面廣告以 3D 形式完成。所以 2D 打印是在 3D 中完成的。視頻以 3D 形式完成。而現場視頻、廣播視頻，數以百萬計的影響者現在通過豐富的增強現實和 3D 圖形來增強他們的廣播。所以 3D 圖形現在不僅用於視頻遊戲和 3D 內容，它現在實際上用於所有形式的數字內容創建。因此，RTX 擁有所有這些不同的驅動程序在其背後工作，我們肯定處於 RTX 的早期階段。

Next, we'll go to Stacy Rasgon with Bernstein Research.

接下來，我們將與 Bernstein Research 一起前往 Stacy Rasgon。

So you said that the growth in the next quarter is about $450 million, give or take, driven by Data Center. Can you give us some feeling for how that growth is being driven by units versus pricing versus mix and how those drivers might differ between Gaming and Data Center, if at all, for Colette?

所以你說下一季度的增長約為 4.5 億美元，由數據中心推動。您能否讓我們了解一下單位、定價和組合是如何推動增長的，以及這些驅動因素在遊戲和數據中心之間可能有何不同，如果有的話，對於 Colette？

It's really early in the quarter to determine, Stacy, our exact mix that we will have based on the unit and an ASP (inaudible). Our overall growth quarter-over-quarter going into Q1 will be driven by Data Center primarily. We will see a little bit of growth there in Gaming. I think that's important to understand that even after Q4 holiday moving into Q1, we'll still probably see growth here in Gaming, which is different in terms of what we've seen seasonally. We will probably have growth in Automotive as well sequentially between Q4 and Q1. There are still some areas that are so far constrained. We are working, again, to try and improve that for every quarter going forward, but that's how you should look at our earnings for Q1, primarily from Data Center.

Stacy，我們將根據單位和 ASP（聽不清）確定我們的確切組合，這真的是在本季度初期。進入第一季度，我們的整體環比增長將主要由數據中心驅動。我們將在遊戲中看到一點點增長。我認為理解這一點很重要，即使在第四季度假期進入第一季度之後，我們仍然可能會看到遊戲行業的增長，這與我們所看到的季節性情況不同。在第四季度和第一季度之間，我們可能會在汽車領域實現連續增長。到目前為止，仍有一些領域受到限制。我們再次努力嘗試在未來的每個季度改進這一點，但這就是你應該如何看待我們第一季度的收益，主要來自數據中心。

Next, we'll go to Harlan Sur with JPMorgan.

接下來，我們將與摩根大通一起前往 Harlan Sur。

Congratulations on the solid results and execution. The networking connectivity portfolio addition has been a pretty solid for the NVIDIA team, especially in enabling scaling of your GPU systems, improving connectivity bottlenecks in yours and your customers' accelerated compute platforms. So in a year where [soft] spending is growing 30%, you've got a strong networking upgrade cycle, which is good for your [unique] products and just continued overall good attach rates, if the team can unlock more supply, will the networking connectivity business grow in line or faster than the overall Data Center business this year?

祝賀取得了紮實的成果和執行。增加的網絡連接產品組合對 NVIDIA 團隊來說非常可靠，尤其是在支持擴展您的 GPU 系統、改善您和您客戶的加速計算平台中的連接瓶頸方面。因此，在 [軟] 支出增長 30% 的一年中，你有一個強大的網絡升級週期，這對你的 [獨特] 產品有好處，並且只是繼續保持整體良好的附加率，如果團隊能夠釋放更多供應，將今年網絡連接業務的增長速度是否超過整體數據中心業務？

And then for Jensen, have you driven synergies between Mellanox's leadership in networking connectivity? For example, leveraging their capabilities for your internally developed NVLink connectivity and switching architectures?

然後對於 Jensen，您是否推動了 Mellanox 在網絡連接方面的領導地位之間的協同效應？例如，將它們的功能用於您內部開發的 NVLink 連接和交換架構？

Yes, absolutely. If not for the work that we did so closely with Mellanox, the scalability of DGX and DGX SuperPOD and the research supercomputer that was just installed at Meta would just not be possible. The concepts of overlapping networking and compute, moving some -- moving computing into the fabric, into the network, the work that we're doing with synchronous and precision timing so that we could create Omniverse computers that obey the laws of physics and space time, these things are just simply not possible. The work that we're doing to bring cloud-native secure multi-tenancy to supercomputing wouldn't have been possible. The number of innovations that are countless. And so I am so thrilled with the combination and so thrilled with the work the Mellanox team are doing.

是的，一點沒錯。如果不是因為我們與 Mellanox 密切合作，DGX 和 DGX SuperPOD 的可擴展性以及剛剛安裝在 Meta 的研究超級計算機是不可能的。重疊網絡和計算的概念，移動一些 - 將計算移動到結構中，移動到網絡中，我們正在使用同步和精確計時進行的工作，以便我們可以創建遵守物理和時空定律的 Omniverse 計算機，這些事情根本不可能。我們為將雲原生安全多租戶引入超級計算所做的工作是不可能的。創新的數量不計其數。所以我對這種組合感到非常興奮，也對 Mellanox 團隊所做的工作感到非常興奮。

We've accelerated road maps as a result of the combination that we could leverage a much larger base of chip design. BlueField's road map has been accelerated probably by about a year. The switch in -- the Quantum switch and the spectrum switch, the SerDes are absolutely world-class, shared between Ethernet and InfiniBand and NVLink, absolutely the best SerDes in the world. And so the list of opportunities or the list of combination benefits is really quite countless. And so I'm super thrilled with that.

由於我們可以利用更大的芯片設計基礎，我們加快了路線圖。 BlueField 的路線圖可能已經加快了大約一年。交換機——Quantum 交換機和頻譜交換機，SerDes 絕對是世界級的，在以太網和 InfiniBand 和 NVLink 之間共享，絕對是世界上最好的 SerDes。因此，機會清單或組合利益清單確實數不勝數。所以我對此感到非常興奮。

With respect to networking growth, we should be growing. If we weren't supply constrained, we should be growing faster than overall CSP growth. And the reason for that -- the reason for that is twofolds. The first is because the networking leadership position of Mellanox, Mellanox is highly heavyweight in the upper end of networking where the adoption of higher-speed networks tends to move. And so it's sensible that as new data centers are built, the first preference is to install it with higher-speed networking than last-generation networking. And Mellanox's networking technology is unambiguously world-class.

關於網絡增長，我們應該在增長。如果我們沒有受到供應限制，我們的增長速度應該快於整體 CSP 的增長速度。這樣做的原因是雙重的。首先是因為 Mellanox 的網絡領導地位，Mellanox 在網絡高端領域是高度重量級的，在這些高端網絡中，採用更高速的網絡往往會發生變化。因此，明智的做法是，隨著新數據中心的建成，首選是安裝比上一代網絡速度更快的網絡。 Mellanox 的網絡技術無疑是世界一流的。

The second reason is because the areas where the overall NVIDIA is strong has to do with the areas that are growing quite fast, which is related to artificial intelligence or cloud AI and such. And so those different applications are growing faster than the core. And so it would be sensible that we have the opportunity as we expand our supply base to continue to grow faster than CSPs overall.

第二個原因是因為 NVIDIA 整體強的領域和增長比較快的領域有關，這和人工智能或云 AI 等有關。因此，這些不同的應用程序的增長速度超過了核心。因此，我們有機會擴大供應基礎以繼續比整體 CSP 更快地增長，這將是明智的。

Our next question will come from Matt Ramsay with Cowen.

我們的下一個問題將來自 Matt Ramsay 和 Cowen。

Yes. Jensen, I maybe wanted to expand on some of the things that you were just speaking about in your last answer with respect to the Data Center business. It's not often, maybe ever, that you have both x86 server vendors having new big platform upgrades in the same year, which will probably happen later this year. There's a lot going on there, DDR5, PCIe 5, some CXL stuff. I wonder if you could talk a bit about your Data Center business broadly and what you feel might be memory and I/O constrained currently that these systems might unlock for you both in the cloud and enterprise side, but also in the DGX business.

是的。 Jensen，我可能想擴展您在上一個回答中談到的有關數據中心業務的一些事情。兩家 x86 服務器供應商在同一年進行新的大型平台升級的情況並不常見，也許永遠不會發生，這可能會在今年晚些時候發生。那裡發生了很多事情，DDR5，PCIe 5，一些 CXL 的東西。我想知道您是否可以廣泛地談談您的數據中心業務，以及您認為目前可能受到內存和 I/O 限制的這些系統可能會在雲和企業端以及 DGX 業務中為您解鎖。

Yes. Thanks, Matt. The -- there are several bottlenecks and let me just highlight some of them. One of the largest bottlenecks is memory speed. And memory speed, that's the reason why we use the fastest memories in the world, HBM and GDDR, et cetera, et cetera. We are the largest consumers of the fastest memories in the world and not even by -- there's not -- with no close second that I know. And so our consumption of fast memories is important to the work that we do.

是的。謝謝，馬特。 - 有幾個瓶頸，讓我只強調其中的一些。最大的瓶頸之一是內存速度。還有內存速度，這就是我們使用世界上最快的內存、HBM 和 GDDR 等等的原因。我們是世界上最快的記憶的最大消費者，甚至沒有——沒有——據我所知，沒有緊隨其後的第二。因此，我們對快速記憶的消耗對我們所做的工作很重要。

The second is networking performance. It is the reason why we have the fastest networks. It is also the reason why we have the most fastest networks in any system. We will have, for example, 8 InfiniBand at the highest speeds connected right into HGX or DGX server. And so the work that we do in GPU direct memory, RDMA, the work that we do with GPU direct storage, the work that we do with in-network computing and all reductions and moving data around inside the network is absolutely world-class. This is an area that we are just -- I am just incredibly proud.

二是網絡性能。這就是我們擁有最快網絡的原因。這也是我們在任何系統中擁有最快網絡的原因。例如，我們將有 8 個以最高速度連接到 HGX 或 DGX 服務器的 InfiniBand。因此，我們在 GPU 直接內存、RDMA 方面所做的工作、我們在 GPU 直接存儲方面所做的工作、我們在網絡內計算以及所有減少和在網絡內移動數據的工作絕對是世界一流的。這是我們的一個領域——我非常自豪。

All of that is so that we could be less bottlenecked by the CPU. Remember, inside our DGX system is 1 CPU and 8 GPUs. And the fundamental goal is to offload as much as we can and utilize the resources that we have as much as we can.

所有這些都是為了減少 CPU 的瓶頸。請記住，我們的 DGX 系統內部有 1 個 CPU 和 8 個 GPU。基本目標是盡可能多地卸載並儘可能多地利用我們擁有的資源。

This year, we expect a transition in PCIe Gen 4 to Gen 5. We are constrained on Gen 4. We'll be constrained on Gen 5, but we're used to that and that's something that we're very good at. And we'll continue to support Gen 4 well through next year, maybe well through the next couple of years in all of the installed base of Gen 4 systems that are going to be all over the world. And we'll take advantage of Gen 5 as much as we can. But we have all kinds of new technologies and strategies to improve the throughput of systems and avert the bottlenecks that are there.

今年，我們預計 PCIe 第 4 代向第 5 代過渡。我們受到第 4 代的限制。我們將受到第 5 代的限制，但我們已經習慣了，這是我們非常擅長的事情。我們將在明年繼續很好地支持第 4 代，也許在接下來的幾年裡，在將遍布全球的第 4 代系統的所有已安裝基礎中，我們將繼續支持。我們將盡可能多地利用第 5 代。但是我們有各種新技術和策略來提高系統的吞吐量並避免存在的瓶頸。

Our final question comes from the line of Raji Gill with Needham & Co.

我們的最後一個問題來自於尼達姆公司的 Raji Gill。

Yes. Congrats on the good quarter and guide. Colette, question on the gross margin and to Jensen's point about really creating a software business driven by Omniverse, DRIVE and Enterprise. When you're kind of contemplating your margin profile over the next couple of years, how do we think about that? Is it really going to be driven by an increasing mix of software as a percentage of your revenue over time? Is there more margin upside on the hardware side in terms of some of your segments? The software opportunity is very exciting, but I'm just curious how that would translate to your kind of more of a longer-term margin profile.

是的。祝賀好季度和指導。 Colette，關於毛利率的問題，以及 Jensen 關於真正創建由 Omniverse、DRIVE 和 Enterprise 驅動的軟件業務的觀點。當您在考慮未來幾年的利潤狀況時，我們如何考慮？隨著時間的推移，軟件組合佔您收入的百分比是否真的會越來越高？就您的某些細分市場而言，硬件方面是否有更多的利潤空間？軟件機會非常令人興奮，但我只是好奇這將如何轉化為您的長期利潤概況。

Yes. Thanks for the question on gross margin and the long term.

是的。感謝關於毛利率和長期的問題。

When we think about the long term gross margin, we have incorporated software in many of our platforms even today, meaning our high-value platforms in data center (inaudible) of our business have really helped us with our gross margins to this point, and we've done a really solid job of managing that and the growth over the years. I believe these businesses will continue to be a growing opportunity for us, but now also with the ability to package up software [and implement software]. So as that scales with our Enterprise customers in the Data center and with our already procured deals [a lot of work], we've got a great opportunity (inaudible) in the future and (inaudible) margin (inaudible).

當我們考慮長期毛利率時，即使在今天，我們也已經在我們的許多平台中加入了軟件，這意味著我們在數據中心（聽不清）中的高價值平台確實幫助我們提高了目前的毛利率，並且多年來，我們在管理這一點和增長方面做得非常紮實。我相信這些業務將繼續為我們提供不斷增長的機會，而且現在還具備打包軟件 [和實施軟件] 的能力。因此，隨著我們在數據中心的企業客戶以及我們已經採購的交易 [大量工作] 的規模擴大，我們在未來有一個很好的機會（聽不清）和（聽不清）利潤（聽不清）。

So we're going to work on that. We've set the stage for having been able to package it up to be able to sell it separately to create the business models, to create the partners that are helping us sell it, but yes, we do believe this will be a driver in the long term.

所以我們要努力解決這個問題。我們已經為能夠將其打包以便能夠單獨銷售以創建商業模式、創建幫助我們銷售它的合作夥伴奠定了基礎，但是是的，我們確實相信這將成為推動長期。

Thank you. I'll now turn it back over to Jensen Huang for closing remarks.

謝謝你。我現在將把它交還給 Jensen Huang 做閉幕詞。

Thanks, everyone.

感謝大家。

The tremendous demand for our computing platforms, NVIDIA RTX, NVIDIA HPC and NVIDIA AI drove a great quarter, capping a record year. Our work propels advances in AI, digital biology, climate sciences, gaming, creative design to autonomous vehicles and robotics and some of today's most impactful fields. Our open computing platform optimized across the full stack, architecture for data center scale is adopted by customers globally from cloud to core to edge and robotics. I am proud of the NVIDIA operations team as we make substantial strides in broadening our supply base to scale our company and better serve customer demand. And this year, we introduced new software business models with NVIDIA AI Enterprise, NVIDIA Omniverse and NVIDIA DRIVE.

對我們的計算平台、NVIDIA RTX、NVIDIA HPC 和 NVIDIA AI 的巨大需求推動了本季度的出色表現，為創紀錄的一年畫上了圓滿的句號。我們的工作推動了人工智能、數字生物學、氣候科學、遊戲、創意設計、自動駕駛汽車和機器人技術以及當今一些最具影響力的領域的進步。我們的開放計算平台在全棧上進行了優化，數據中心規模的架構被全球客戶採用，從雲到核心到邊緣和機器人。我為 NVIDIA 運營團隊感到自豪，因為我們在擴大供應基礎以擴大公司規模和更好地滿足客戶需求方面取得了長足的進步。今年，我們推出了新的軟件商業模式，包括 NVIDIA AI Enterprise、NVIDIA Omniverse 和 NVIDIA DRIVE。

NVIDIA DRIVE is a full stack end-to-end platform that serves the industry with AV chips, data center infrastructure for AI and simulation, mapping and the autonomous driving application service. Our data center infrastructure is used by just about anybody building AVs, robotics, robotaxis, shuttles and trucks. EV companies have selected our Orin chip across the world. And our partnership with Mercedes-Benz and Jaguar Land Rover has opened up a new software and services business model for millions of cars for the life of the fleet.

NVIDIA DRIVE 是一個全棧端到端平台，為行業提供 AV 芯片、用於 AI 和模擬的數據中心基礎設施、地圖繪製和自動駕駛應用服務。幾乎所有建造 AV、機器人、機器人出租車、穿梭車和卡車的人都在使用我們的數據中心基礎設施。電動汽車公司已在全球範圍內選擇了我們的 Orin 芯片。我們與梅賽德斯-奔馳和捷豹路虎的合作為車隊的數百萬輛汽車開闢了新的軟件和服務商業模式。

NVIDIA Omniverse is a world simulation engine that connects simulated digital worlds to the physical world. Omniverse is a digital twin, a simulation of the physical world. The system can be a building, a factory, a warehouse, a car, a fleet of cars, a robotic factory orchestrating a fleet of robots building cars that are themselves robotic.

NVIDIA Omniverse 是一個世界模擬引擎，可將模擬的數字世界與物理世界連接起來。 Omniverse 是數字雙胞胎，是對物理世界的模擬。該系統可以是一座建築物、一座工廠、一個倉庫、一輛汽車、一隊汽車、一個機器人工廠，它協調一隊機器人製造汽車，這些汽車本身就是機器人。

Today's Internet is 2D and AI is in the cloud. The next phase of Internet will be 3D and AI will be connected to the physical world. We created Omniverse to enable the next wave of AI where AI and robotics touches our world. Omniverse can sound like science fiction, but there are real-world use cases today. Hundreds of companies are evaluating Omniverse.

今天的互聯網是二維的，人工智能在雲端。互聯網的下一階段將是 3D，人工智能將連接到物理世界。我們創建了 Omniverse，以實現 AI 和機器人技術觸及我們世界的下一波 AI。 Omniverse 聽起來像科幻小說，但今天有真實世界的用例。數百家公司正在評估 Omniverse。

We can't wait to share more of our progress at next month's GTC, learn about new chips, new computing platforms, new AI and robotic breakthroughs and the new frontiers of Omniverse. Hear from the technologists of Deloitte, Epic Games, Mercedes-Benz, Microsoft, Pfizer, Sony, Visa, Walt Disney, Zoom and more. This GTC promises to be our most exciting developers' conference ever.

我們迫不及待地想在下個月的 GTC 上分享我們的更多進展，了解新芯片、新計算平台、新 AI 和機器人突破以及 Omniverse 的新前沿。聆聽 Deloitte、Epic Games、Mercedes-Benz、Microsoft、Pfizer、Sony、Visa、Walt Disney、Zoom 等的技術專家。本屆 GTC 有望成為我們有史以來最激動人心的開發者大會。

We had quite a year, yet nothing makes me more proud than the incredible people who have made NVIDIA one of the best companies to work for and the company where they do their lives' work. We look forward to updating you on our progress next quarter. Thank you.

我們度過了相當長的一年，但沒有什麼比讓 NVIDIA 成為最適合工作的公司和他們畢生工作的公司之一的令人難以置信的人更讓我感到自豪的了。我們期待在下個季度向您通報我們的進展情況。謝謝你。

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

今天的電話會議到此結束。您現在可以斷開連接。