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)

午安.我叫戴維，今天我將擔任您的會議主持人。現在，我歡迎大家參加 NVIDIA 第四季財報電話會議。今天的會議正在錄製。 （操作員指令）

Simona Jankowski, you may begin your conference.

Simona Jankowski，您可以開始您的會議了。

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

謝謝。大家下午好，歡迎參加NVIDIA 2022財年第四季電話會議。

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

今天與我一起出席的還有 NVIDIA 總裁兼執行長黃仁勳；以及執行副總裁兼財務長 Colette Kress。

I'd like to remind you that our call is being webcast live on NVIDIA's Investor Relations website. The webcast will be available for replay until the conference call to discuss our financial results for the first quarter of fiscal 2023.

我想提醒您，我們的電話會議正在 NVIDIA 投資者關係網站上進行網路直播。網路直播將可供重播，直至電話會議討論 2023 財年第一季的財務表現。

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

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

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

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

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根據我們目前掌握的資訊截至今天（2022 年 2 月 16 日）做出的。除法律要求外，我們不承擔更新任何此類聲明的義務。

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

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

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

說完這些，讓我把電話轉給科萊特。

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%.

我們本季的業績表現優異，營收年增 53%，達到 76 億美元。我們創下了總收入以及遊戲、資料中心和專業視覺化的記錄。全年營收達到創紀錄的 269 億美元，成長 61%，而去年同期的成長幅度為 53%。

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。營收為 34 億美元，季增 6%，年增 37%。財政年度營收為 125 億美元，成長 61%。遊戲已成為持續呈現強勁勢頭的頂級娛樂媒介。就在上個月，Steam 同時線上用戶數創下了 2,800 萬的紀錄，兩年內成長了 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.

本季創紀錄的桌上型電腦收入得益於 GeForce RTX 30 系列產品的成長以及高端產品的持續強勁成長。在 CES 上，我們發布了 RTX 3050 GPU，該 GPU 於 1 月底上市，將 NVIDIA RTX 和 AI 技術帶給更多主流受眾。

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.

筆記型電腦遊戲收入也創下了紀錄，這得益於新款 GeForce RTX 3070 Ti 和 3080 Ti GPU 的推動，這兩款 GPU 也是在 CES 上發布的。它們利用我們的第四代 Max-Q 技術來實現安靜的模擬和輕量級遊戲筆記型電腦。

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.

總而言之，我們宣布了針對 NVIDIA Ampere 架構 RTX 30 系列 GPU 的 160 多種新型筆記型電腦設計。其中包括多個面向數千萬創作者的工作室體系，推動設計、創新和虛擬世界的未來。除了支援新的 RTX 30 系列 GPU 之外，Studio 筆記型電腦未來還將支援 Omniverse、（聽不清楚）和 Broadcast 等 NVIDIA 軟體。

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.

我們的遊戲產品在通路中的供應量仍然很低。 NVIDIA RTX 生態系統持續擴展，本季新增了 30 多款新 RTX 遊戲和應用程序，其中包括《戰地 2042》、《俠盜獵車手：三部曲》、《決勝時刻：先鋒》和《戰神》等熱門大作。此外，多款新遊戲均支援 NVIDIA Reflex，以實現低延遲遊戲體驗。

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，但我們對其對整體 GPU 需求的影響程度的了解有限。幾乎所有桌上型 NVIDIA Ampere 架構 GeForce GPU 的出貨量都保持輕[抓]速，以幫助將 GeForce 直接供應給遊戲玩家。加密挖掘處理器收入為 2400 萬美元，其中包括 OEM 和其他收入。

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.

我們繼續透過新的熱門遊戲擴展 NVIDIA GeForce NOW 雲端遊戲生態系統，包括 EA 的《戰地 4》和《戰地 5》。此前，LG 已於上個月發布了適用於 LG 智慧電視的 GeForce NOW 應用程式測試版。此外，我們還與 AT&T 合作，將 GeForce NOW 引入美國的 5G 行動裝置。

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.

轉向專業視覺化。第四季營收為 6.43 億美元，季增 11%，年增 109%。財政年度收入 21 億美元，成長 100%。本季的連續成長得益於向高價值工作站的轉變以及 NVIDIA Ampere 架構的持續提升。

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.

我們相信，強勁的需求是由混合工作環境的持續建設以及 3D 設計、AI 和渲染等關鍵工作負載的成長所推動的。例如，索尼影業ImageWorks正在使用NVIDIA RTX來加速與渲染相關的應用程式的光線追蹤。大眾汽車正在使用 NVIDIA RTX 的 AI 來協助其車輛的預測性維護。杜克能源 (Duke Energy) 正在使用 NVIDIA RTX 的 AI 和 VR 來繪製、檢視和維護能源設施。

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 企業軟體已全面上市。雖然還處於早期階段，但迄今為止客戶的回饋非常積極，並且已經與多個重要的企業簽署了許可證。除了軟體授權之外，Omniverse 也為 NVIDIA RTX 在筆記型電腦、工作站、本機伺服器和雲端提供電腦會。個人可以免費使用 Omniverse，企業團隊也可以透過軟體訂閱使用。

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，我們推出了 Omniverse 的免費版本，供個人使用。 Omniverse 允許具有 RTX GPU 的創作者將領先的 3D 設計應用程式連接到單一主題，並使用 AI 和物理學增強他們的工作。我們還宣布了 Omniverse Cloud 的早期存取權限，它增加了一鍵式功能，可與其他藝術家合作，無論是在房間的另一端還是全球各地。

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.

對於數位孿生應用，我們宣布使用 Omniverse 的 Isaac 自主移動機器人平台，並透過佇列命令進行安全編排和雲端交付，該平台優化了營運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即時路線優化的 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.

轉向汽車產業。第四季營收為 1.25 億美元，季減 7%，年減 14%。財政年度收入 5.66 億美元，成長 6%。我們剛開始出貨基於 Orin 的產品平台，預計第一季營收將恢復連續成長，並在本財年下半年出現更有意義的成長，並將在 2023 年及以後保持強勁勢頭。

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

現在我將把話題交給 Jensen，讓他為今天早上的汽車新聞提供更多精彩內容。

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，共同開發和交付軟體定義汽車車隊。從 2025 年開始，所有新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 平台構建的支援 AI 的軟體和服務。 DRIVE Orin 將成為運行我們的 DRIVE AV 和 DRIVE IX 軟體的 AI 電腦大腦，而 DRIVE Hyperion 感測器網路將成為中樞神經系統。

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實現廣泛的主動安全、自動駕駛和停車系統。在車內，該系統將提供人工智慧功能，包括駕駛員和乘員監控以及車輛周圍環境的高級視覺化。

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執行長 Thierry Bolloré) 及其團隊合作，重塑豪華車的未來。我們的全端到端方法是一種新的商業模式，它為 JLR 車隊提供可下載的 AV 和 AI 服務，並在車隊的整個生命週期中為兩家公司共享軟體收入流。

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.

此次合作遵循了我們與梅賽德斯奔馳宣布的合作模板。我們與兩家 OEM 共享的軟體收入機會將隨著其採用 NVIDIA 技術的車隊規模而擴大，十年內，其總規模可超過 1000 萬輛。

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.

移至資料中心。創紀錄的 33 億美元營收比上一季成長 11%，比去年同期成長 71%。財政年度收入 106 億美元，成長 58%。由於對 NVIDIA AI 的強勁需求，本季資料中心的成長再次由我們的運算產品引領。超大規模和雲端需求十分突出，營收年增一倍以上。在消費網路公司的帶動下，垂直產業也實現了強勁的兩位數年成長。

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.

旗艦產品NVIDIA A100 GPU持續推動強勁成長。推理業務的收入年增了兩倍多。我們的 Triton 推理伺服器軟體的廣泛採用加速了推理的成長，該軟體可以幫助客戶在生產中提供快速且可擴展的人工智慧。資料中心運算需求的推動因素是我們持續部署基於 Ampere 架構的產品以滿足快速增長的人工智慧工作負載，例如自然語言處理和深度學習推薦系統以及雲端運算。

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，全球支付領域的領導者 Block Inc. 在其 Square Assistant 中使用對話式 AI 與客戶安排約會。這些 AI 模型在 NVIDIA GPU 和 AWS 上進行訓練，並在 AWS GP 服務和我們的 CPU 上以 10 倍的速度執行推理。社群媒體公司 Snap 使用 NVIDIA GPU 和 Merlin 深度推薦軟體將推理成本效率提高了 50%，並將延遲降低了 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.

連續第三年，產業基準測試顯示 NVIDIA AI 在性能方面繼續引領業界。 NVIDIA 與 Microsoft Azure 等合作夥伴一起，在最新的 MLPerf 基準測試中創下了 8 種流行 AI 工作負載的 AI 訓練記錄，包括電腦視覺、自然語言處理、推薦系統、強化學習和物件偵測。 NVIDIA AI 是唯一一個在所有基準測試和用例中提交成績的平台，展示了多功能性和高效能。

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，由於整個 AI 演算法、最佳化工具和系統軟體的持續創新，我們的 A100 GPU 的效能在短短 18 個月內就提升了 5 倍以上。在過去 3 年中，它們的效能提高了 20 倍以上，這得益於我們在 GPU、網路、系統和軟體等全端產品方面取得的進步。

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的領先性能受到全球一些技術最先進的公司的追捧。 Meta Platforms 推出了其新的 AI 超級電腦研究 SuperCluster，其中超過 6,000 個 A100 GPU 遷移至 NVIDIA 平台 InfiniBand 網路。 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，運行電腦視覺作業的速度比之前的系統快 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.

今年晚些時候，在第二階段，該系統將擴展到 16,000 個 GPU，Meta 相信這將提供 5 exaFLOPS 的混合精度 AI 性能。除了規模效能之外，Meta 還將極高的可靠性、安全性、隱私性和處理各種 AI 模型的靈活性列為該系統的關鍵標準。

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.

我們將繼續擴大 NVIDIA AI 在垂直產業的應用範圍和便利性。我們的 NVIDIA 認證系統生態系統隨著思科和日立（聽不清楚）的加入而不斷擴展，此外還加入了戴爾、惠普企業、浪潮、聯想和超微等多家製造商。我們發布了 NVIDIA AI Enterprise 軟體 1.1 版，讓企業在主流 IT 基礎架構上的 VMware vSphere 上執行加速 AI 工作負載。我們還擴大了獲得 NVIDIA AI Enterprise 資格的系統整合商數量。

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 基礎設施供應商的評估中，將 NVIDIA 評為頂級領導者。幫助我們擴大企業 IT 影響力的合作夥伴之一就是全球領先的顧問公司德勤，它在 NVIDIA DGX SuperPOD 上建立了其 AI 計算中心。在 CES 上，我們將合作擴展到 AV 開發，利用我們自己強大的 AI 基礎設施和德勤的 5,500 名系統整合開發人員和 2,000 名資料科學家團隊來建立真正智慧交通的解決方案。

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.

我們的網路產品實現了強勁的環比和同比成長，這得益於核心運算、超級運算、企業到儲存等用例的異常需求。網路用戶採用我們的下一代產品和更高速的部署推動了成長。雖然收入受到供應的限制，但我們預計未來幾季的產能將有所提高，這將使我們能夠滿足看到的大量客戶需求。

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.

整體而言，我們對新軟體業務模式（包括 NVIDIA AI、NVIDIA Omniverse 和 NVIDIA DRIVE）的吸引力感到非常興奮。我們的軟體收入成長仍處於早期階段。隨著各行各業的客戶都尋求加快與 NVIDIA 的採用和創新步伐，我們的管道也在不斷建設中。

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

現在讓我把話題轉回給 Jensen，請他談談對 Arm 的一些評論。

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 擴展到新市場，使整個生態系統中的所有客戶受益。

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.

與任何重要技術先驅​​的組合一樣，我們提議的收購引發了全球監管機構的質疑。我們理解監管部門的關注。一年多來，我們與軟銀和 Arm 密切合作，闡述我們對 Arm 的願景，並向監管機構保證 NVIDIA 將成為 Arm 生態系統的合格管家。我們盡了最大努力，但阻力太大，我們無法讓監管機構放心批准我們的交易。

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在加速運算方面的工作和我們的整體策略將一如既往地繼續下去。我們的重點是加速計算。我們計劃在明年上半年推出基於 Arm 的 Grace CPU，目標是應對龐大的 AI 和 HPC 工作負載。我們擁有 Arm IP 的 20 年架構許可，這讓我們能夠在各個技術和市場中擁有全面且靈活的選擇。我們將在 CPU、GPU 和 DPU 上實施我們的三晶片策略。無論是x86還是Arm，我們都將採用最好的CPU，並與電腦產業的合作夥伴一起，提供全球最好的運算平台，以應對當今時代的重大挑戰。

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，請參閱今天稍早在我們的投資者關係網站上發布的財務長評論。

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.

讓我來談談 2023 財年第一季的展望。遊戲也將促進成長。預計營收為 81 億美元，上下浮動 2%。預計 GAAP 和非 GAAP 毛利率分別為 65.2% 和 67%，上下浮動 50 個基點。根據 GAAP 規定，營業費用預計為 35.5 億美元，其中包括 13.6 億美元的 Arm 註銷費用。非公認會計準則營業費用預計為 16 億美元。本財年，我們預期非 GAAP 營業費用的成長百分比與 2022 財年相似。預計 GAAP 和非 GAAP 稅率分別為 11% 和 13%，上下浮動 1%，不包括單一項目。預計資本支出約3.5億至4億美元。進一步的財務細節包含在 CFO 評論和我們 IR 網站上提供的其他資訊中。

In closing, let me highlight upcoming events for the financial community. We 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，讓我重點介紹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。這將在 Jensen 的開幕主題演講之後進行，我們邀請您收聽。我們將於 5 月 25 日星期三召開財報電話會議，討論 2023 財年第一季的業績。

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

我們現在開始回答問題。接線生，請您調查問題好嗎？

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

（操作員指示）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。詹森和科萊特，我想問一下有關資料中心的問題。科萊特，根據您的指導，您可能會指導資料中心的成長在 4 月季度加速。您談到了超大規模雲端運算在 1 月季度成長了 2 倍以上，企業垂直業務也實現了強勁的兩位數成長。您能否談談四月份的驅動因素以及資料中心下半年財年的前景？

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

我先開始，然後把麥克風交給 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，我們的指導包括資料中心在第四季度的基礎上加速發展。在第一季度，我們的多個市場平台將實現成長，包括資料中心、遊戲以及其他幾個平台。但是，是的，隨著我們進入第一季度，預計成長將會加速。

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

我將把話題交給 Jensen，讓他談談我們認為本季以及全年的驅動因素。

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

是的。我們有幾個——首先，Toshiya，很高興收到您的來信。

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.

我們在資料中心有多個成長動力。有超大規模、公有雲、企業核心和企業邊緣。我們看到了整個領域的成長。有幾種不同的用例特別令人興奮，大型語言模型——語言——理解模型是由 Transformer 的發明引發的，這可能是一段時間內發明的最重要的人工智慧模型之一；以及用於客戶服務的對話式人工智慧、聊天機器人和一大堆客戶服務應用程式。它可以基於網路。它可能基於銷售點。它可能是基於雲端的。

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進行突破性的改進。還有雲圖形以及我們正在進行的所有工作——將渲染或模擬放到雲端。雲端遊戲、Android 雲端遊戲確實推動了雲端的採用。資料中心的所有不同平台上都有許多不同的用例。

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.

我想另一個問題是關於資料中心方面的。我很好奇您是否可以談談晶圓方面的供應限制，以及這是否對 1 月份季度的收入限制產生了影響，以及您認為隨著時間的推移，這對您的不利影響會如何減小。

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

謝謝 C.J. 提出這個問題。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所討論的那樣，我們的某些業務仍然存在一些供應限制。資料中心業務的網路供應受到限制。我們每天都在進步。隨著我們進入 23 財年，我們確實預計每季的供應量都會有所改善。所以這可能是我們資料中心內的關鍵領域，但有時，也會有其他類型的資料中心關注點。

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，我將把剩下的問題轉給詹森，關於今年剩餘時間的情況。

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這一點。我們的供應受到限制。我們的需求大於供給。如您所知，我們的資料中心產品線包括 GPU、混合、BlueField DPU、Quantum 和 Spectrum 交換器、HGX，如果您願意的話，還有系統組件，這意味著整個主機板或整個 GPU 板都是組合交付的，因為它非常複雜。因此，我們的產品涵蓋了資料中心的廣泛用例，從人工智慧模型的訓練到大規模推理，再到公有雲的通用 GPU、行業標準伺服器、企業使用的商品伺服器以及使用 InfiniBand 和 Quantum 交換器的超級運算系統。所以應用空間相當廣泛。我們發現整個範圍內的需求幾乎都受到了限制。

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.

我們的營運團隊今年做得非常出色，不僅執行了所有這些複雜的產品，而且擴大了我們的供應基礎。我們預計未來每季的供應量都會改善。本季度，即將到來的這個季度，第一季——四月季度是根據 Colette 剛剛做出的指導，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、下一季以及下半年大幅增加。

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

接下來我們請出摩根士丹利的喬摩爾 (Joe Moore)。

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。我想知道您是否可以再多談談 Grace，因為該策略現在與收購 Arm 有點分開了。您在那裡的願望是什麼？它是否主要面向 DGX 和 HGX 系統業務，而不是商用晶片？您如何看待這項長期機會？

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個分支項目，從連網設備到機器人處理器，例如新的 Orin，它將進入自動駕駛汽車、機器人系統、工業自動化、機器人等領域。 Orin 的表現非常出色。已開始生產。正如我們之前提到的，它將從第二季度開始推動一個轉折點，但隨著我們進入所有電動車和所有機器人應用以及機器人出租車等領域，它將在第三季度及之後的幾年內加速發展。

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，我們也有您提到的採用 CPU 的 Arm 專案。我們有 Grace，而且我們肯定也有 Grace 的後續產品，你可以期待我們圍繞 Arm 架構進行大量的 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.

過去幾年真正取得良好發展的一件事是 Arm 在超大規模和資料中心領域的成功。這確實加速並激勵了他們加速開發更高階 CPU。所以你將會看到我們推出很多令人興奮的 CPU，而 Grace 只是第一個例子。除此之外，您還將看到很多這樣的情況。

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.

但我們的策略是加速運算。這最終就是我們謀生的手段。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 的平台連接到它並加速人工智慧或電腦圖形、機器人技術等。因此，我們很高興看到 CPU 足跡的擴展，我們很高興看到 Arm 現在已經發展到機器人、自動駕駛汽車、雲端運算和超級運算以及所有這些不同的應用領域。我們打算將 NVIDIA 加速運算平台的全部功能引入 NVIDIA Arm CPU。

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

接下來我們請瑞士信貸的約翰‧皮澤 (John Pitzer)。

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，我認為這是您連續第四個季度看到超過 30％的連續增長，並且這是該數字現在超過您的季度收入預期的第一個季度。所以我想知道這在多大程度上反映了整個半導體產業的緊張狀況？這在多大程度上可以反映您對未來需求的樂觀態度？

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?

並且相對於您所說的供應量全年開始好轉的評論，我們是否應該預期這個數字將開始趨於平穩？或者隨著組合更多地轉移到資料中心以及更長的周期時間和更複雜的設備，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和驅動因素，我們今年大大擴展了供應鏈足跡，為未來每季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產品發布做好準備。如上所述，Orin 進軍自動駕駛汽車領域是全新的。這是我們向自動駕駛汽車發展的轉捩點。對我們來說，這將是一個非常大的業務。

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.

前面已經提到過，Grace 是一款全新的產品，從未出現在 NVIDIA 的路線圖上。我們已經看到巨大的成功，客戶喜愛它的架構並且迫切需要 Grace 所帶來的功能。

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.

今年對於新產品的發布來說應該是相當令人興奮的一年。所以，我們正在為所有這些做好準備，為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.

接下來我們請出瑞銀的 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，您談論了更多關於軟體的事情。我認為對於許多投資者來說這仍然是一個黑盒子。詹森，我知道你曾經談到軟體是開拓新市場的媒介。但我想知道，您是否可以量化如今的軟體授權收入有多大，以及何時可以開始像資料中心那樣將其細分，這才真正讓股票大幅波動。

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 是一家軟體驅動的企業。加速運算是一項軟體驅動的業務。首先要認識到我們想要加速和能夠加速的應用程式領域，然後建立一個從處理器到系統到系統軟體、加速引擎甚至應用程式本身的整個堆疊，例如我們之前提到的軟體，NVIDIA DRIVE、NVIDIA AI 和 NVIDIA Omniverse。這些應用程式位於系統軟體之上，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.

我們思考軟體授權的方式——我們一直是軟體驅動的企業，但這是我們第一次將可授權軟體打包提供給客戶。我們為 NVIDIA AI Enterprise 授權軟體的方式是針對每個伺服器節點。目前，全球企業安裝了約 2,000 萬到 2,500 萬台伺服器（還不包括雲端）。我們相信未來每一台伺服器都會運行AI軟體。我們希望提供一個引擎，使企業能夠使用世界上最先進、最值得信賴、利用率最高的人工智慧引擎。如果你願意的話，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 的目標客戶是－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內容做出貢獻的機器人。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。將來有一天每輛車都會變成一個機器人。這些連接將會連接到像 Omniverse 這樣的數位孿生系統中。所以 Omniverse 的商業模式是按照每年每個連線計算的。

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，我們分享所交付軟體的經濟性。如果是 AB 軟體、停車軟體或基於駕駛室的 AI 軟體，無論許可是什麼或提供什麼服務，如果是預付許可，我們就會共享其經濟效益。如果是按月訂閱服務，我們會分享其經濟效益。但基本上，對於我們所屬的汽車而言，我們正在開發端到端服務，我們將在車隊的整個生命週期中獲得經濟效益。所以你可以想像，如果有 1000 萬輛汽車，而現代汽車的使用壽命為 10 到 20 年，從經濟和市場角度來看，安裝機會相當高。因此，我們的商業機會是基於這些因素。

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.

但我們的軟體業務實際上是在幾年前從虛擬 GPU 開始的，但今年我們才真正邁出步伐，首次推出了 NVIDIA AI Enterprise、Omniverse 和 DRIVE。於是我觀看了現場。我認為這對我們來說是一個非常重要的商機，我們期待著對此進行報道。

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

接下來我們請出美國銀行的 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，你過去曾提到過，你的客戶群中 AI 的採用率大約是 10％ 左右。我希望您能夠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?

與此相關的是，現在您的資產負債表上有超過 200 億美元的現金，您的成長中是否有無機因素？您計劃如何部署它來加速您的成長？

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，人工智慧的應用正在成長，而且成長速度令人難以置信。無論在企業或金融服務中，它都可以用於詐欺偵測；在面向消費者的業務、客戶服務、對話式人工智慧的情況下，人們會呼叫聊天機器人，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，無論是人工操作或非人工操作，都會有一個聊天機器人。因此，未來客戶服務將大量受到人工智慧的支援。我認為，幾乎每個銷售點，無論是速食還是速食服務，企業都會有聊天機器人和基於人工智慧的客戶服務。零售結帳將由人工智慧代理支援。

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.

所有這一切都是透過一些突破實現的。當然是電腦視覺，因為代理商、人工智慧必須與你進行眼神交流並識別你的姿勢等，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，以便你能夠提供良好的客戶服務。能夠讓人類參與其中是人工智慧的一大優點，遠勝於錄音，錄音顯然不夠智能，因此你很難打電話給你的經理或叫別人來提供人工智慧無法提供的服務。因此，在過去的幾年中，透過自然語言理解在客戶服務領域實現的不同應用程式的數量急劇增加。

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.

我認為我們的採用還處於早期階段。令人難以置信的是，人工智慧的發展速度如此之快，現在有多少不同的應用可以實現。這幾乎意味著，幾乎所有未來的軟體都將用人工智慧編寫，或由人工智慧編寫。當它完成後，它將是一個人工智慧。我們在所有不同的行業中都能看到這一點。因此我很確定我們正處於人工智慧的早期階段，這將成為我們所知的最大的軟體產業之一。

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，如您所知，我們剛剛終止了與 Arm 的協議。我們有一個定期的資本策略流程，我們將經歷這個過程，並做出最佳判斷，如何利用我們的資本來幫助我們的成長、維持我們的成長和加速我們的成長。我們將在資本分配會議期間進行所有這些明智的對話。我們非常高興擁有如此多的資本，並且可以將其投入其中。

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

接下來我們請到富國銀行的 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 Aaron 的 Michael。可以談談 RTX 3050 的發布進度如何嗎？也許更廣泛地說，您認為我們在 Ampere 遊戲產品週期中處於什麼位置？

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，麥可。讓我們看看，我們 —— RTX 是一場無條件本壘打。 RTX 徹底重塑了現代電腦圖形。它比任何人想像的都早了大約十年就提出了光線追蹤技術。 RTX 與人工智慧的結合實現了我們稱為 DLSS 的技術，它不僅能夠使用我們的 Shader 處理器進行大量運算，而且還能夠利用我們 GPU 中強大的 Tensor 4 處理器來產生影像，美麗的影像。

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.

目前，幾乎地球上的所有遊戲開發商都在採用 RTX。現在幾乎地球上的每一種設計工具都採用了它。如果沒有 RTX，Omniverse 就不可能實現。我們無法進行基於物理的路徑追踪，也無法模擬雷達、光達、超音波等感測器，當然還有攝像頭，也無法物理地模擬這些攝像頭，而且仍然能夠提供我們所提供的性能類型。因此，RTX 改變了整個產業。它重置了現代電腦圖形。這幫助我們從 Omniverse 建立一個全新的平台。

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，我們已經完成了不斷增長的安裝基數升級工作的三分之一。你知道電子遊戲現在是世界上最大的遊戲類型。在過去兩年裡，Steam 成長了 50%。 Steam 上同時線上玩家的數量已經大幅增加。不是——就在過去幾年裡，Epic 推出了一個全新的遊戲商店，而且它已經是一個價值數億美元的產業。我認為接近 10 億美元。他們做得非常好。我很高興看到它。因此整個遊戲市場正在成長，並且成長相當好。

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，除了為我們整個安裝基礎重置電腦圖形之外，由於遊戲的成長而導致的安裝基礎的成長，還有一些與 GeForce 和 RTX 相關的其他成長動力，這些成長動力實際上是全新的。其中之一就是混合工作。這是一個永久性的狀態。我們現在看到，所有設計師和創作者現在都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、數位經濟、創意經濟確實發展得非常出色，因為現在一切都必須以 3D 形式完成。平面廣告是以 3D 形式製作的。因此 2D 列印是在 3D 中完成的。影片是 3D 格式的。透過現場視頻、廣播視頻，數以百萬計的有影響力的人物現在使用豐富的增強現實和 3D 圖形來增強他們的廣播。因此，3D 圖形現在不僅僅用於視頻遊戲和 3D 內容，它實際上現在用於所有形式的數位內容創作。因此，RTX 背後有各種各樣的不同驅動程式在發揮作用，而且我們肯定正處於 RTX 的早期階段。

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

接下來我們請到伯恩斯坦研究公司的史黛西‧拉斯岡 (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?

所以您說下一季的成長約為 4.5 億美元，大約是由資料中心推動的。您能否向我們介紹一下，對於 Colette 而言，這種增長是如何由單位數、價格和產品組合推動的，以及這些驅動因素在遊戲和資料中心之間有何不同（如果有的話）？

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.

史黛西，現在還處於本季初期，我們需要根據單位和 ASP（聽不清楚）來確定具體的產品組合。我們第一季的整體環比成長主要受資料中心的推動。我們將會看到遊戲領域出現一些成長。我認為重要的是要明白，即使在第四季度假期進入第一季之後，我們仍可能會看到遊戲領域的成長，這與我們按季節看到的情況不同。我們在汽車領域的業務可能也會在第四季和第一季之間持續成長。有些領域目前仍受到限制。我們正在再次努力嘗試在未來的每個季度改善這一點，但是這就是您應該看待我們第一季的收益的方式，主要來自資料中心。

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

接下來我們將和摩根大通一起前往哈蘭蘇爾。

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?

恭喜您取得了堅實的成果和執行力。網路連接產品組合的增加對於 NVIDIA 團隊來說非常重要，特別是在支援擴展您的 GPU 系統、改善您和您客戶的加速運算平台中的連接瓶頸方面。因此，在[軟]支出成長 30% 的一年裡，您擁有強勁的網路升級週期，這對您的[獨特]產品有利，並且總體上保持良好的配售率，如果團隊可以釋放更多的供應，網路連接業務是否會比今年的整體資料中心業務同步或更快地成長？

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?

那麼對於 Jensen 來說，您是否推動了 Mellanox 在網路連結方面的領導地位之間的協同效應？例如，利用它們的功能來開發您內部開發的 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，絕對是如此。如果沒有我們與 Mellanox 的密切合作，DGX 和 DGX SuperPOD 以及剛剛在 Meta 安裝的研究超級電腦的可擴展性就不可能實現。重疊網路和計算的概念，將計算轉移到結構中，轉移到網路中，我們以同步和精確計時進行的工作，以便我們能夠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實現。我們為將雲端原生安全多租戶引入超級運算而進行的工作在過去是不可能實現的。創新的數量數不勝數。因此，我對這項結合感到非常興奮，對 Mellanox 團隊所做的工作也感到非常興奮。

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晶片設計基礎，因此我們加速了路線圖的發展。 BlueField 的路線圖大概已經加速了大約一年。交換器——Quantum 交換器和頻譜交換器、SerDes 絕對是世界一流的，在乙太網路和 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實際上是無數的。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.

就網路成長而言，我們應該也在成長。如果我們不受供應限制，我們的成長速度應該比整體 CSP 成長速度更快。而造成這種情況的原因有兩個。首先是因為Mellanox在網路領域的領導地位，Mellanox在網路高端領域佔有重要的地位，而高端網路的採用正朝著更高速度的網路發展。因此，在建造新資料中心時，首先選擇安裝比上一代網路速度更高網絡，這是明智的做法。 Mellanox 的網路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，NVIDIA 整體上實力雄厚的領域與成長相當快速的領域有關，這些領域與人工智慧或雲端 AI 等有關。因此，這些不同的應用程式的成長速度比核心應用程式的成長速度更快。因此，當我們擴大供應基礎時，我們就有機會繼續以比 CSP 整體更快的速度成長，這是明智的做法。

Our next question will come from Matt Ramsay with Cowen.

我們的下一個問題來自 Cowen 的 Matt Ramsay。

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。詹森，我可能想擴展一下你在上一個回答中談到的有關資料中心業務的一些內容。兩家 x86 伺服器供應商在同一年內推出新的大型平台升級的情況並不常見，這種情況很可能會在今年稍後發生。這裡有很多事情要做，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資料中心業務，以及您認為目前記憶體和 I/O 可能受到哪些限制，這些系統可能會為您在雲端和企業端以及 DGX 業務中解鎖哪些限制。

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。存在幾個瓶頸，讓我只強調其中的一些。最大的瓶頸之一是記憶體速度。還有記憶體速度，這就是我們使用世界上最快記憶體的原因，HBM 和 GDDR 等等。我們是世界上最大的快速記憶的消費者，甚至沒有——沒有——據我所知沒有第二名能與之匹敵。因此，快速記憶的運用對於我們所做的工作非常重要。

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.

第二是網路效能。這就是我們擁有最快網路的​​原因。這也是為什麼我們在任何系統中都擁有最快網路的​​原因。例如，我們將有 8 個 InfiniBand 以最高速度直接連接到 HGX 或 DGX 伺服器。因此，我們在 GPU 直接記憶體、RDMA 方面所做的工作，我們在 GPU 直接儲存所做的工作，我們在網路內運算方面所做的工作以及在網路內部進行的所有縮減和行動資料的工作絕對是世界一流的。這是我們──我感到非常自豪的一個領域。

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.

所有這些都是為了讓我們不再受到 CPU 的瓶頸限制。請記住，我們的 DGX 系統內部有 1 個 CPU 和 8 個 GPU。我們的根本目標是盡可能卸載並盡可能利用我們現有的資源。

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 Gen 4 將過渡到 Gen 5。而我們將在明年繼續為 Gen 4 提供支持，或許在接下來的幾年裡，我們將在遍布全球的所有 Gen 4 系統安裝基礎上繼續提供支援。我們將盡可能地利用第五代技術。但是我們擁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 Needham & Co. 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。恭喜本季和本指南取得良好進展。 Colette，關於毛利率的問題，以及 Jensen 關於真正創建由 Omniverse、DRIVE 和 Enterprise 驅動的軟體業務的觀點。當您考慮未來幾年的利潤狀況時，我們該如何考慮呢？隨著時間的推移，軟體組合佔總收入的百分比是否真的會不斷增加？就你們的某些細分市場而言，硬體方面的利潤空間是否更大？軟體機會非常令人興奮，但我只是好奇它將如何轉化為您的更長期的利潤狀況。

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

是的。感謝您提出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，我們甚至今天就已經將軟體融入到我們的許多平台中，這意味著我們業務中的資料中心（聽不清楚）中的高價值平台確實幫助我們提高了毛利率，並且多年來，我們在管理這一點和成長方面做得非常出色。我相信這些業務將繼續為我們帶來成長機會，而且現在我們還具備了打包軟體[和實施軟體]的能力。因此，隨著我們資料中心的企業客戶和已經達成的交易（大量工作）的擴大，我們在未來獲得了巨大的機會（聽不清楚）和（聽不清楚）利潤（聽不清楚）。

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.

所以我們會努力解決這個問題。我們已經為將其打包單獨出售做好了準備，創建了商業模式，創建了幫助我們銷售它的合作夥伴，但是，是的，我們確實相信這將是一個長期的推動力。

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

謝謝。現在我將把發言權交還給黃仁勳 (Jensen Huang) 作結束語。

Thanks, everyone.

謝謝大家。

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.

我們的運算平台 NVIDIA RTX、NVIDIA HPC 和 NVIDIA AI 的龐大需求推動了本季的出色表現，創下了創紀錄的一年。我們的工作推動了人工智慧、數位生物學、氣候科學、遊戲、創意設計、自動駕駛汽車和機器人以及當今一些最具影響力的領域的進步。我們的開放運算平台針對全端、資料中心規模的架構進行了最佳化，並被全球客戶從雲端到核心到邊緣和機器人所採用。我為 NVIDIA 營運團隊感到自豪，因為我們在擴大供應基礎、擴大公司規模和更好地滿足客戶需求方面取得了長足進步。今年，我們透過 NVIDIA AI Enterprise、NVIDIA Omniverse 和 NVIDIA DRIVE 推出了新的軟體商業模式。

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 是一個全端對端平台，為業界提供 AV 晶片、用於 AI 和類比的資料中心基礎架構、地圖繪製和自動駕駛應用服務。幾乎所有建造自動駕駛汽車、機器人、機器人計程車、穿梭巴士和卡車的人都會使用我們的資料中心基礎設施。全球各地的電動車公司都選擇了我們的 Orin 晶片。我們與梅賽德斯·奔馳和捷豹路虎的合作為車隊數百萬輛汽車的終身使用開闢了新的軟體和服務業務模式。

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 是一個世界類比引擎，將類比的數位世界與實體世界連接起來。 Omniverse 是數位孿生，是物理世界的模擬。該系統可以是一棟建築物、一棟工廠、一棟倉庫、一輛汽車、一隊汽車，或是一個機器人工廠，負責協調一隊機器人來製造機器人汽車。

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.

今天的網路是二維的，AI在雲端。網路的下一個階段將是3D的，人工智慧將與物理世界連結。我們創建了 Omniverse 來推動下一波人工智慧浪潮，讓人工智慧和機器人技術觸及我們的世界。 Omniverse 聽起來像是科幻小說，但如今已在現實世界中得到應用。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 上分享更多進展，了解新晶片、新運算平台、新的人工智慧和機器人突破以及 Omniverse 的新前沿。聽取德勤、Epic Games、賓士、微軟、輝瑞、索尼、Visa、華特迪士尼、Zoom 等公司技術專家的演講。本次 GTC 預計將成為我們有史以來最令人興奮的開發者大會。

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.

我們度過了相當充實的一年，但沒有什麼比那些出色的員工更讓我感到自豪了，他們讓 NVIDIA 成為了最適合工作的公司之一，也是他們畢生工作的地方。我們期待下個季度向您通報我們的進展。謝謝。

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

今天的電話會議到此結束。您現在可以斷開連線。