The $2 trillion NVIDIA: From Simulating Human Imagination to Simulating Human Intelligence | Special

Nvidia's market capitalization is about to reach $2 trillion, and many people miss out on this monstrous wealth. But Huang and some optimistic investors believe that Nvidia's business will continue to explode as artificial intelligence has just reached a tipping point. Maybe we'll have time to get a little deeper into this company.

In the 30 years since its founding, NVIDIA has seized several waves of market opportunities. Originally, GPUs were used to simulate the human imagination, making virtual worlds possible in games and movies. Today, it also simulates human intelligence, enabling people to gain a deeper understanding of the physical world. In order to accelerate the most compute-intensive computing power loads, NVIDIA has also expanded from GPUs to DPU and CPU markets. This also makes the data center the company's core and fastest-growing market.

Innovation is at the heart of NVIDIA. NVIDIA will continue to leverage and expand its innovations and strengths in data center platforms, artificial intelligence and machine learning, graphics and computer vision, autonomous vehicle platforms, and the use of intellectual property.

In its 2024 financial report, Nvidia detailed its company, business, market and strategy. The full-stack computing infrastructure company has expanded its computing and networking and graphics businesses into the data center, gaming, professional visualization and automotive markets. The following compilation is from its 2024 10-K report.

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Our company

NVIDIA is a pioneer in accelerated computing, helping to solve the most challenging computing problems. NVIDIA is now a full-stack computing infrastructure company, and its data center-scale offerings are reshaping the industry. The full stack includes the underlying CUDA programming model that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, software development kits (SDKs), and application programming interfaces (APIs).

This deep and broad software stack accelerates performance and simplifies the deployment of NVIDIA's accelerated computing for compute-intensive workloads such as artificial intelligence (AI), model training and inference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to solve problems in industries ranging from healthcare to telecommunications to automotive and manufacturing.

Our data center-scale offerings include compute and networking solutions that scale tens of thousands of GPU-accelerated servers that are connected to each other to become a single supercomputer, and the development and deployment of modern AI applications require the structure and scale of this type of data center architecture.

Originally, GPUs were used to simulate the human imagination, making virtual worlds possible in games and movies. Today, it also simulates human intelligence, enabling people to gain a deeper understanding of the physical world. Its parallel processing power, backed by thousands of compute cores, is critical to deep learning algorithms. This form of artificial intelligence, by learning from large amounts of data, to program itself, can act as the brains of computers, robots, and self-driving cars, perceiving and understanding the world. Thousands of enterprises are developing GPU-powered AI solutions to provide services and products that are difficult or even impossible to achieve with traditional coding. These include generative AI, which can create new content such as text, code, images, audio, video, and molecular structures, and recommender systems, which can recommend highly relevant content, such as products, services, media, or advertisements, using deep neural networks to train large datasets to capture user preferences.

NVIDIA has a platform strategy that brings together hardware, systems, software, algorithms, libraries, and services to create unique value for the markets we serve. While the computing needs of these end markets are diverse, we leverage our GPU, networking, and software stacks to address them with a unified underlying architecture. The programmable nature of our architecture allows us to support several multi-billion dollar end markets with the same underlying technology by using a variety of software stacks developed in-house or by third-party developers and partners. The large and growing number of developers and their install base on our platform strengthens our ecosystem and increases the value of our platform to our customers.

Innovation is at the heart of who we are. Since our founding, we have invested more than $45.3 billion in research and development, resulting in inventions that are essential to modern computers. Our invention of the GPU in 1999 sparked the growth of the PC gaming market and redefined computer graphics. With the introduction of the CUDA programming model in 2006, we opened up the parallel processing power of GPUs to a wide range of parallel computing applications, paving the way for the emergence of modern artificial intelligence. In 2012, the AlexNet neural network, trained on NVIDIA GPUs, won the ImageNet computer image recognition competition, marking the "Big Bang" moment for artificial intelligence. We launched our first Tensor Core GPU in 2017, built for a new era of AI. In 2018, we launched our first autonomous driving system-on-chip (SoC). With the acquisition of Mellanox in 2020, we expanded our innovation to include networking and introduced a new processor class, Data Processing Units (DPUs).

Over the past 5 years, we've built a complete software stack running on top of GPUs and CUDA, bringing AI to the world's largest industries, including the NVIDIA DRIVE stack for autonomous driving, the Clara stack for healthcare, and Omniverse for industrial digitalization, and launched NVIDIA AI Enterprise Software, essentially an operating system for enterprise AI applications. In 2023, we launched Grace, our first data center CPU, built for AI and high-performance computing at scale. With a strong engineering culture, we drive rapid and coordinated product and technology innovation across all aspects of computing, including chips, systems, networks, software, and algorithms.

More than half of our engineers work in software. The world's leading cloud service providers (CSPs) and consumer internet companies use our data center-grade accelerated computing platforms to support, accelerate, or enrich the services they deliver to billions of end users, including AI solutions and assistants, search, recommendations, social networking, online shopping, real-time video, and translation. Enterprises and startups across a wide range of industries are using our accelerated computing platforms to build new generative AI products and services, or to dramatically accelerate the cost of their workloads and workflows. The enterprise software industry uses them for new AI assistants and chatbots, autonomous driving in the transportation industry, accelerated and computer-aided drug discovery in the healthcare industry, and support and fraud detection for customers in the financial services industry.

Researchers and developers use our computing solutions to accelerate a wide range of critical applications. We support more than 3,500 applications, enabling some of the most promising discoveries, from climate prediction to materials science, from wind tunnel simulation to genomics. Including GPUs and networking, NVIDIA powers more than 75 percent of the world's top 500 supercomputing 500, including 24 of the top 30 in the Green500.

Gamers choose NVIDIA GPUs to enjoy immersive, increasingly cinematic virtual worlds. In addition to serving a growing number of gamers, the market for PC GPUs is also expanding, as the number of live streams, broadcasters, artists, and creators is rapidly increasing. With the advent of generative AI, we expect more users to opt for NVIDIA GPUs to run generative AI applications natively on their PCs, which is critical for privacy, latency, and cost-sensitive AI applications.

Professional artists, architects, and designers use partner products accelerated by our GPUs and software platforms for a range of creative and design use cases, such as creating visual effects in films, or designing buildings and products. In addition, generative AI is expanding the market for our workstation-class GPUs as more and more enterprise customers develop and deploy AI applications for their data locally.

Headquartered in Santa Clara, California, NVIDIA was founded in California in April 1993 and reintegrated in Delaware in April 1998.

OUR BUSINESS

We report our business in two parts.

The Compute & Networking segment includes our data center accelerated computing platforms and end-to-end networking platforms, including Quantum for InfiniBand and Spectrum for Ethernet, our NVIDIA DRIVE autonomous driving platform and automotive development protocol, embedded platforms such as Jetson Robotics, software such as NVIDIA Enterprise, and DGX cloud software and services.

Graphics, which includes GeForce GPUs for gaming and PCs, GeForce NOW game streaming services and related infrastructure, and Quadro/NVIDIA RTX for enterprise workstation graphics GPUs, virtual GPUs, or vGPUs, cloud-based vision and virtual computing software, automotive platforms for infotainment systems, and Omniverse enterprise software for building and operating metaverse and 3D internet applications.

Our market

We focus on our computing platforms that can provide a huge acceleration to the market for applications. These platforms include processors, interconnects, software, algorithms, systems, and services to deliver unique value.

Our platform is geared towards four major markets, and our expertise is critical: Data Center, Gaming, Professional Visualization, and Automotive.

- Data centers

"The data center has become the new unit of computing" 

NVIDIA data center platforms are focused on accelerating the most compute-intensive workloads, such as artificial intelligence, data analytics, graphics, and scientific computing, and deliver better performance and energy efficiency than traditional CPU-only approaches. It is deployed in the cloud, hyperscale data centers, on-premise and edge data centers. The platform is delivered to customers by typically as systems, subsystems, or modules, as well as software and services.

Computing and networking products make up our computing offerings. Includes supercomputing platforms and servers that bring together our energy-efficient GPU, DPU, interconnect, fully optimized artificial intelligence, and high-performance computing (HPC) software stack. In addition, they include NVIDIA Al Enterprise software, our DGX cloud service, and a growing number of acceleration libraries, APIs, SDKs, and domain-specific application frameworks. Our networking offerings include end-to-end platforms for InfiniBand and Ethernet, including network adapters, cables, DPUs and switching systems, as well as a complete software stack. This allows us to build a data center-scale computing platform that can connect thousands of compute nodes over a high-performance network. While historically servers have been computing units, as AI and high-performance computing workloads have become very large, spanning thousands of compute nodes, data centers have become the new computing units, and networks are an integral part of them.

Our end customers include the world's leading public cloud and consumer Internet companies, thousands of enterprises and startups, and public sector entities. We partner with industry leaders to help them build or transform their applications and data center infrastructure. Our direct customers include OEMs and ODMs, system integrators and distributors. We work with them to help bring our products to market. We've also forged partnerships in sectors such as automotive, healthcare, financial services, manufacturing, and retail to accelerate AI adoption.

The foundation of NVIDIA's accelerated computing platform is our GPU, which excels at parallel workloads such as training and inference for neural networks. They are available on NVIDIA accelerated computing platforms and industry-standard servers from every major cloud provider and server manufacturer. In addition to GPUs, our data center platform scales to DPUs in FY2022 and CPUs in FY2024. We can optimize the entire compute, networking, and storage stack to deliver data center-scale computing solutions.

While we started with powerful silicon, what makes it a full-stack computing platform is our large software, including a collection of CUDA parallel programming models, CUDA-X acceleration libraries, APIs, SDKs, and domain-specific application frameworks. In addition to the software delivered to our customers as part of our data center computing platform, we offer paid licenses for NVIDIA Al Enterprise, a comprehensive suite of enterprise-grade AI software and NVIDIA vGPU software for graphics-rich virtual desktops and workstations. In fiscal year 2024, we launched NVIDIA DGX Cloud, an AI training-as-a-service platform that includes cloud-based AI infrastructure and software, customizable, pre-trained AI models, and access to NVIDIA experts. We've partnered with leading cloud service providers to host this service in their data centers.

-Game

"RTX has become the leader in AI PCs"

Gaming is the largest entertainment industry, and PC is the main platform. Many factors have driven its growth, including new high-value games and franchises, the continued rise of competitive gaming or esports, social connectivity, and the growing popularity of game streamers, modders, or players and creators of remastered games.

Our gaming platform leverages our GPUs and advanced software to enhance the gaming experience with smoother, higher-quality graphics. We developed NVIDIA RTX to bring next-generation graphics and artificial intelligence to gaming. NVIDIA RTX features ray tracing technology for real-time, cinematic-quality rendering. Ray tracing is a computationally intensive technique that has long been used for special effects in the film industry that simulates the physical behavior of light to achieve greater realism in computer-generated scenes. NVIDIA RTX also features Deep Learning Super Sampling (NVIDIA DLSS), which boosts frame rates while generating beautiful, crisp images for games. RTX GPUs will also accelerate the next generation of AI applications. With over 100 million AI-enabled PCs, over 500 RTX AI-enabled apps and games, and a robust suite of development tools, RTX has become a leader in AI PCs.

Our products for the gaming market include GeForce RTX and GeForce GTX GPUs for gaming desktops and laptops, GeForce NOW cloud gaming for playing PC games on low-power devices, and SOC and development services for consoles.

- Professional visualization

"Building Virtual Worlds"

We serve the professional visualization market by working closely with independent software vendors (ISVs) to optimize their products for NVIDIA GPUs. Our GPU computing platform increases productivity and introduces new capabilities for critical workflows in many areas, such as design and manufacturing and digital content creation. Design and manufacturing includes computer-aided design, architectural design, consumer product manufacturing, medical instrumentation, and aerospace. Digital content creation includes professional video editing and post-production, film special effects, and broadcast TV graphics.

The NVIDIA RTX platform uses ray tracing in real-time to render cinematic-quality, photorealistic objects and environments with physically accurate shadows, reflections, and refractions. Many of the leading 3D design and content creation applications developed by our ecosystem partners now support RTX, allowing professionals to accelerate and transform their workflows with NVIDIA RTX GPUs and software.

-Car

"A complete end-to-end solution for autonomous driving"

The automotive market consists of autonomous driving and in-vehicle cockpit computing platform solutions. With our technology leadership in artificial intelligence and our long-standing relationship with the automotive industry, we will provide a complete end-to-end solution for the autonomous driving market under the DRIVE Hyperion brand." We have already demonstrated the multiple applications of AI in automobiles: AI can drive a car as a pilot in fully autonomous mode, or assist a human driver as a co-pilot while creating a safer driving experience.

DRIVE Hyperion includes high-performance, energy-efficient DRIVE AGX computing hardware, a suite of reference sensors to support fully autonomous driving functions, and an open, modular DRIVE software platform for autonomous driving, mapping and parking services, and intelligent in-vehicle experiences.

In addition, we offer NVIDIA DRIVE Sim, a scalable data center-based simulation solution, digital cockpit development based on NVIDIA Omniverse software, and testing and validating autonomous driving platforms. Our unique end-to-end software-defined approach, with continuous innovation and continuous development, enables the vehicle to receive over-the-air updates, adding new features and functionality throughout the vehicle's lifecycle.

Business Strategy

"Solve more complex problems in less time and with less power"

NVIDIA's key strategies for shaping a holistic approach to business include:

- Advancing NVIDIA's accelerated computing platform. Our accelerated computing platform can solve complex problems in less time and with lower power consumption than other computing methods. In fact, it can help solve problems that were previously thought unsolvable. By innovating at the architecture, chip design, system, interconnect, and software layers, we are committed to delivering a sustained leap in performance beyond Moore's Law. This full-stack approach to innovation allows us to deliver an order of magnitude performance advantage over traditional approaches in our target markets, including data centers, gaming, professional visualization, and automotive. While the computing needs of these end markets are diverse, we leverage our GPU, CUDA, and networking technologies as the fundamental building blocks to address them with a unified underlying architecture. The programmable nature of our architecture allows us to leverage our investments in research and development: by using a variety of software stacks developed in-house or by third-party developers and partners, we can support several multi-billion dollar end markets by sharing the underlying technology. We use this platform approach in each of our target markets.

- Extend our technology and platform leadership in AI. We provide a complete end-to-end accelerated computing platform for artificial intelligence to solve training and inference problems. This includes full-stack data center-scale compute and networking solutions across processing units, interconnects, systems, and software. Our computing solution includes all three major processing units – GPU, CPU, and DPU – in an AI server. GPUs are a great fit for AI, and we will continue to add AI-specific features to our GPU architecture to further expand our leadership position." In addition, we offer DGX Cloud, an AI training-as-a-service platform, and NeMo, a complete solution for building enterprise-ready large language models (LLMs) using open-source and proprietary LLMs created by NVIDIA and third parties. Our large and expanding ecosystem strengthens our leadership in AI technology in a virtuous cycle. Our computing platform is available from virtually every major server manufacturer and CSP, as well as our own AI supercomputer. More than 4.7 million developers around the world use CUDA and our other software tools to help us deploy our technology in our target markets. Through our Inception program, we have partnered with hundreds of universities and thousands of start-ups to educate them about AI. In addition, our Deep Learning Institute provides guidance on how to use our accelerated computing platform to design, train, and deploy the latest technologies for neural networks in applications.

- Extend our technology and platform leadership in computer graphics. We believe that computer graphics, combined with artificial intelligence, are fundamental to the continuous development and evolution of computers. We use our R&D resources to enhance the user experience for consumer entertainment and professional visualization applications, creating new virtual worlds and simulation capabilities. Our technology plays an important role in advancing the gaming, design, and creative industries, as developers can leverage our libraries and algorithms to deliver optimized experiences on our GeForce and NVIDIA RTX platforms. Our computer graphics platform leverages AI end-to-end, from developer tools and cloud services to Tensor Cores, which is included in all RTX-class GPUs. For example, the NVIDIA Avatar Cloud Engine (ACE) is a suite of technologies that help developers run generative AI in the cloud or on a local PC to bring digital avatars to life. GeForce Experience enhances every player's experience by optimizing PC settings and allowing gameplay to be recorded and shared. Our Studio driver enhances and accelerates many popular creative applications. Omniverse is real-time 3D design collaboration and virtual world simulation software that enables artists, designers, and creators to connect and collaborate across leading design applications. We also enable interactive graphics applications, such as gaming, film and photo editing and design software, to be accessible virtually anywhere through our cloud platforms, such as Enterprise vGPUs and GeForce NOW for Gaming.

- Advancing leading autonomous vehicle platforms. We believe that the advent of autonomous vehicles (AVs) and electric vehicles (EVs) will revolutionize the transportation industry. The algorithms required for autonomous driving – such as perception, localization, and planning – are too complex for traditional hand-coding methods, so multiple neural networks will be used. In addition, EV manufacturers are looking for the next generation of centralized automotive computers that integrate a wide range of intelligent functions into a single AI computing platform. As a result, our DRIVE products provide AI-based hardware and software solutions for the autonomous and electric vehicle markets, designed and implemented from the ground up in accordance with automotive safety standards, which we will bring to market through partnerships with automotive OEMs, tier-1s and start-ups. Our autonomous driving solutions also include GPU-based hardware for training neural networks prior to in-vehicle deployment, as well as re-emulating their operation prior to any over-the-air software updates. We believe that our comprehensive, top-down, end-to-end approach will help the transportation industry solve the complexities posed by autonomous driving.

- Exploit our intellectual property (IP). We believe that our intellectual property is a valuable asset, and we can access it through licensing and development agreements when our customers and partners want to build these features directly into their own products, or for us to implement through custom development. Such licensing and development arrangements can further expand the scope of our technology.

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0, 0, .15);--weui-FG-5: rgba(0, 0, 0, .05);--weui-RED: #dc3636;--weui-ORANGERED: #d14730;--weui-ORANGE: #e17719;--weui-YELLOW: #bb8e00;--weui-GREEN: #4f8400;--weui-LIGHTGREEN: #2e8800;--weui-FIRE: #018942;--weui-BLUE: #007dbb;--weui-INDIGO: #0075e2;--weui-PURPLE: #6265f1;--weui-WHITE: #fff;--weui-LINK: #576b95;--weui-TEXTGREEN: #06ae56;--weui-FG: #000;--weui-BG: #fff;--weui-TAG-TEXT-RED: rgba(250, 81, 81, .6);--weui-TAG-BACKGROUND-RED: rgba(250, 81, 81, .1);--weui-TAG-TEXT-ORANGE: #e17719;--weui-TAG-BACKGROUND-ORANGE: rgba(225, 119, 25, .1);--weui-TAG-TEXT-GREEN: #06ae56;--weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .1);--weui-TAG-TEXT-BLUE: #007dbb;--weui-TAG-BACKGROUND-BLUE: rgba(0, 125, 187, .1);--weui-TAG-TEXT-BLACK: rgba(0, 0, 0, . 5);--weui-TAG-BACKGROUND-BLACK: rgba(0, 0, 0, .05)}}@media screen and (min-width:1024px){body:not(.pages_skin_pc) .wx-root[data-weui-mode=care][data-weui-theme=dark],body:not(.pages_skin_pc) body[data-weui-mode=care][data-weui-theme=dark]{--weui-BG-0: #111;--weui-BG-1: #1e1e1e;--weui-BG-2: #191919;--weui-BG-3: #202020;--weui-BG-4: #404040;--weui-BG-5: #2c2c2c;--weui-FG-0: rgba(255, 255, 255, .85);--weui-FG-HALF: rgba(255, 255, 255, .65);--weui-FG-1: rgba(255, 255, 255, .55);--weui-FG-2: rgba(255, 255, 255, .35);--weui-FG-3: rgba(255, 255, 255, .. 1);--weui-FG-4: rgba(255, 255, 255, .15);--weui-FG-5: rgba(255, 255, 255, .1);--weui-RED: #fa5151;--weui-ORANGERED: #ff6146;--weui-ORANGE: #c87d2f;--weui-YELLOW: #cc9c00;--weui-GREEN: #74a800;--weui-LIGHTGREEN: #3eb575;--weui-BRAND: #07c160;--weui-BLUE: #10aeff;--weui-INDIGO: #1196ff;--weui-PURPLE: #8183ff;--weui-WHITE: rgba(255, 255, 255, .8);--weui-LINK: #7d90a9;--weui-TEXTGREEN: #259c5c;--weui-FG: #fff;--weui-BG: #000;--weui-TAG-TEXT-RED: rgba(250, 81, 81, .6);--weui-TAG-BACKGROUND-RED: rgba(250, 81, 81, .1);--weui-TAG-TEXT-ORANGE: rgba(250, 157, 59, .6);--weui-TAG-BACKGROUND-ORANGE: rgba(250, 157, 59, .1);--weui-TAG-TEXT-GREEN: rgba(6, 174, 86, .6);--weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .1);--weui-TAG-TEXT-BLUE: rgba(16, 174, 255, .6);--weui-TAG-BACKGROUND-BLUE: rgba(16, 174, 255, .1);--weui-TAG-TEXT-BLACK: rgba(255, 255, 255, .5);--weui-TAG-BACKGROUND-BLACK: rgba(255, 255, 255, .05)}}@media screen and (min-width:1024px){body:not(.pages_skin_pc) .wx-root,body:not(.pages_skin_pc) body{--appmsgExtra-BG: #F7F7F7}}@media screen and (min-width:1024px){body:not(.pages_skin_pc) .wx-root[data-weui-theme=dark],body:not(.pages_skin_pc) body[data-weui-theme=dark]{--weui-BG-0: #111;--weui-BG-1: #1e1e1e;--weui-BG-2: #191919;--weui-BG-3: #202020;--weui-BG-4: #404040;--weui-BG-5: #2c2c2c;--weui-FG-0: rgba(255, 255, 255, .. 8);--weui-FG-HALF: rgba(255, 255, 255, .6);--weui-FG-1: rgba(255, 255, 255, .5);--weui-FG-2: rgba(255, 255, 255, .3);--weui-FG-3: rgba(255, 255, 255, .1);--weui-FG-4: rgba(255, 255, 255, .15);--weui-FG-5: rgba(255, 255, .1);--weui-RED: #fa5151;--weui-ORANGERED: #ff6146;--weui-ORANGE: #c87d2f;--weui-YELLOW: #cc9c00;--weui-GREEN: #74a800;--weui-LIGHTGREEN: #3eb575;--weui-FIRE: #07c160;--weui-BLUE: #10aeff;;--weui-INDIGO: #1196ff;--weui-PURPLE: #8183ff;--weui-WHITE: rgba(255, 255, 255, .8);--weui-LINK: #7d90a9;--weui-TEXTGREEN: #259c5c;--weui-FG: #fff;--weui-BG: #000;--weui-TAG-TEXT-RED: rgba(250, 81, 81, .6);--weui-TAG-BACKGROUND-RED: rgba(250, 81, 81, .1);--weui-TAG-TEXT-ORANGE: rgba(250, 157, 59, .6);--weui-TAG-BACKGROUND-ORANGE: rgba(250, 157, 59, .1);--weui-TAG-TEXT-GREEN: RGBA(6, 174, 86, .) 6);--weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .1);--weui-TAG-TEXT-BLUE: rgba(16, 174, 255, .6);--weui-TAG-BACKGROUND-BLUE: rgba(16, 174, 255, .1);--weui-TAG-TEXT-BLACK: rgba(255, 255, 255, .5);--weui-TAG-BACKGROUND-BLACK: rgba(255, 255, 255, .05)}}@media screen and (min-width:1024px){body:not(.pages_skin_pc) .wx-root[data-weui-theme=dark],body:not(.pages_skin_pc) body[data-weui-theme=dark]{--appmsgExtra-BG: #121212}}@media screen and (min-width:1024px){body:not(.pages_skin_pc)body:not(.pages_skin_pc){background:var(--weui-BG-2)}}@media screen and (min-width:1024px) and (prefers-color-scheme:dark){body:not(.pages_skin_pc) .wx-root[data-weui-mode=care]:not([data-weui-theme=light]),body:not(.pages_skin_pc) body[data-weui-mode=care]:not([data-weui-theme=light]){--weui-BG-0: #111;--weui-BG-1: #1e1e1e;--weui-BG-2: #191919;--weui-BG-3: #202020;--weui-BG-4: #404040;--weui-BG-5: #2c2c2c;--weui-FG-0: rgba(255, 255, 255, .. 85);--weui-FG-HALF: rgba(255, 255, 255, .65);--weui-FG-1: rgba(255, 255, 255, .55);--weui-FG-2: rgba(255, 255, 255, .35);--weui-FG-3: rgba(255, 255, 255, .1);--weui-FG-4: rgba(255, 255, 255, .15);--weui-FG-5: rgba(255, 255, 255, .1);--weui-RED: #fa5151;--weui-ORANGERED: #ff6146;--weui-ORANGE: #c87d2f;--weui-YELLOW: #cc9c00;--weui-GREEN: #74a800;--weui-LIGHTGREEN: #3eb575;--weui-FIRE: #07c160;--weui-BLUE: #10aeff;--weui-INDIGO: #1196ff;;--weui-PURPLE: #8183ff;--weui-WHITE: rgba(255, 255, 255, .8);--weui-LINK: #7d90a9;--weui-TEXTGREEN: #259c5c;--weui-FG: #fff;--weui-BG: #000;--weui-TAG-TEXT-RED: rgba(250, 81, 81, .6);--weui-TAG-BACKGROUND-RED: rgba(250, 81, 81, .1);--weui-TAG-TEXT-ORANGE: rgba(250, 157, 59, .6);--weui-TAG-BACKGROUND-ORANGE: rgba(250, 157, 59, .1);--weui-TAG-TEXT-GREEN: rgba(6, 174, 86, .6); --weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .) 1);--weui-TAG-TEXT-BLUE: rgba(16, 174, 255, .6);--weui-TAG-BACKGROUND-BLUE: rgba(16, 174, 255, .1);--weui-TAG-TEXT-BLACK: rgba(255, 255, 255, .5);--weui-TAG-BACKGROUND-BLACK: rgba(255, 255, 255, .05)}}@media screen and (min-width:1024px) and (prefers-color-scheme:dark){body:not(.pages_skin_pc) .wx-root:not([data-weui-theme=light]),body:not(.pages_skin_pc) body:not([data-weui-theme=light]){--weui-BG-0: #111;--weui-BG-1: #1e1e1e;--weui-BG-2: #191919;--weui-BG-3: #202020;--weui-BG-4: #404040;--weui-BG-5: #2c2c2c;--weui-FG-0: rgba(255, 255, 255, .8);--weui-FG-HALF: rgba(255, 255, 255, .6);--weui-FG-1: rgba(255, 255, 255, .5);--weui-FG-2: rgba(255, 255, 255, .3);--weui-FG-3: rgba(255, 255, 255, .1);--weui-FG-4: rgba(255, 255, 255, .15);--weui-FG-5: rgba(255, 255, 255, .1);--weui-RED: #fa5151;--weui-ORANGERED: #ff6146;--weui-ORANGE: #c87d2f;--weui-YELLOW: #cc9c00;--weui-GREEN: #74a800;--weui-LIGHTGREEN: #3eb575;;--weui-FIRE: #07c160;--weui-BLUE: #10aeff;--weui-INDIGO: #1196ff;--weui-PURPLE: #8183ff;--weui-WHITE: rgba(255, 255, 255, .8);--weui-LINK: #7d90a9;--weui-TEXTGREEN: #259c5c;--weui-FG: #fff;--weui-BG: #000;--weui-TAG-TEXT-RED: rgba(250, 81, 81, .6);--weui-TAG-BACKGROUND-RED: rgba(250, 81, 81, .1);--weui-TAG-TEXT-ORANGE: rgba(250, 157, 59, .6);--weui-TAG-BACKGROUND-ORANGE: rgba(250, 157, 59, .1);--weui-TAG-TEXT-GREEN: rgba(6, 174, 86, .. 6);--weui-TAG-BACKGROUND-GREEN: rgba(6, 174, 86, .1);--weui-TAG-TEXT-BLUE: rgba(16, 174, 255, .6);--weui-TAG-BACKGROUND-BLUE: rgba(16, 174, 255, .1);--weui-TAG-TEXT-BLACK: rgba(255, 255, 255, .5);--weui-TAG-BACKGROUND-BLACK: rgba(255, 255, 255, .05)}}@media screen and (min-width:1024px) and (prefers-color-scheme:dark){body:not(.pages_skin_pc) .wx-root:not([data-weui-theme=light]), 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