Visualizing Nvidia’s Revenue, by Product Line (2019-2024)
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Since the AI boom, the key drivers of Nvidia’s revenue have shifted significantly.
Today, data center processors for analytics and AI have quickly become Nvidia’s largest source of revenue, surpassing the company’s historical main business line of GPUs (graphic processing units). Given the surging demand for hardware that drives AI models, Nvidia’s revenues reached $22.1 billion in the last quarter—a 265% jump from the year before.
This graphic breaks down Nvidia’s revenue by product line, based on Affinity data powered by Syntax.
Nvidia’s data center business has witnessed explosive growth, accelerating 409% compared to the fourth quarter of last year.
The analytics and AI unit includes H100 graphics cards that power AI systems, each made up of 80 billion transistors that allow it to compute vast amounts of data used in training large language models. Big tech companies are spending billions on these graphic cards in order to power their computing infrastructure. Meta, for instance, plans to use 350,000 H100 graphics cards in 2024 alone.
The next biggest source of revenue are GPUs for computers, making up 17.1% of total revenues. Nvidia played a key role in developing these specialized chips which are an important component in PCs. Together, these two product lines make up 95.1% of Nvidia’s revenues, while GPUs for 3D visualization and automotive generate only a fraction of all revenues.
Looking ahead, Nvidia’s graphics chips will likely make up a greater share of revenues as demand continues to grow. In fact, the company recently stated that its facing challenges in keeping up with demand and that it is working to allocate chips fairly across customers, prioritizing those that are able to put them to use immediately.
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Since the AI boom, the key drivers of Nvidia’s revenue have shifted significantly.
Today, data center processors for analytics and AI have quickly become Nvidia’s largest source of revenue, surpassing the company’s historical main business line of GPUs (graphic processing units). Given the surging demand for hardware that drives AI models, Nvidia’s revenues reached $22.1 billion in the last quarter—a 265% jump from the year before.
This graphic breaks down Nvidia’s revenue by product line, based on Affinity data powered by Syntax.
Nvidia’s data center business has witnessed explosive growth, accelerating 409% compared to the fourth quarter of last year.
The analytics and AI unit includes H100 graphics cards that power AI systems, each made up of 80 billion transistors that allow it to compute vast amounts of data used in training large language models. Big tech companies are spending billions on these graphic cards in order to power their computing infrastructure. Meta, for instance, plans to use 350,000 H100 graphics cards in 2024 alone.
The next biggest source of revenue are GPUs for computers, making up 17.1% of total revenues. Nvidia played a key role in developing these specialized chips which are an important component in PCs. Together, these two product lines make up 95.1% of Nvidia’s revenues, while GPUs for 3D visualization and automotive generate only a fraction of all revenues.
Looking ahead, Nvidia’s graphics chips will likely make up a greater share of revenues as demand continues to grow. In fact, the company recently stated that its facing challenges in keeping up with demand and that it is working to allocate chips fairly across customers, prioritizing those that are able to put them to use immediately.
enqira - Zenqira Training - Join Zenqira to Become Part of a Decentralized Computing Network and Start Earning GLM Tokens Daily!
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https://zenqira.com/Presentation.pdf
https://zenqira.com/u/btc153
Building and scaling AI models
Develop, train, and deploy AI applications on a distributed cloud.
Perfect for AI developers. A powerful, hassle-free experience that “just works.”
https://zenqira.com/
our mission
Integrate 1 million GPUs into DePIN (Decentralized Physical Infrastructure Network).
Our main challenge was to build the infrastructure needed to accommodate a robust back-end trading system with significant computing power.
lack of computing
Faced directly with the limitations of existing compute providers, we dived deeper into the world of distributed computing and created our own solutions to the lack of computing power.
This pursuit ultimately led to a decentralized cluster solution within the Decentralized Physical Infrastructure Network (DePIN).
This infrastructure requires MLOps and DevOps teams. But Ray's discovery accelerated backend development from more than six months to less than 60 days.
Integrating Ray and deploying GPU clusters presented an obstacle: high GPU costs from on-demand cloud providers.
expensive computing power
For example, the high price of NVIDIA A100 cards, over $80 per card per day, has been a major obstacle.
More than 50 cards were required each month, resulting in costs exceeding $100,000. These financial challenges were just as important to us as they are to other ML startups.
Sparking the DePIN Revolution
Despite these high costs, AI computing requirements are growing tenfold every 18 months. OpenAI's lease of over 300,000 CPUs and 10,000 GPUs for GPT-3 training is only the beginning of this compute-intensive era.
Zenqira emerged out of necessity. With a vision born of urgency, we launched the DePIN revolution. Golem Network embraces a future where computing power has no limits.
Develop, train, and deploy AI applications on a distributed cloud.
Perfect for AI developers. A powerful, hassle-free experience that “just works.”
https://zenqira.com/
our mission
Integrate 1 million GPUs into DePIN (Decentralized Physical Infrastructure Network).
Our main challenge was to build the infrastructure needed to accommodate a robust back-end trading system with significant computing power.
lack of computing
Faced directly with the limitations of existing compute providers, we dived deeper into the world of distributed computing and created our own solutions to the lack of computing power.
This pursuit ultimately led to a decentralized cluster solution within the Decentralized Physical Infrastructure Network (DePIN).
This infrastructure requires MLOps and DevOps teams. But Ray's discovery accelerated backend development from more than six months to less than 60 days.
Integrating Ray and deploying GPU clusters presented an obstacle: high GPU costs from on-demand cloud providers.
expensive computing power
For example, the high price of NVIDIA A100 cards, over $80 per card per day, has been a major obstacle.
More than 50 cards were required each month, resulting in costs exceeding $100,000. These financial challenges were just as important to us as they are to other ML startups.
Sparking the DePIN Revolution
Despite these high costs, AI computing requirements are growing tenfold every 18 months. OpenAI's lease of over 300,000 CPUs and 10,000 GPUs for GPT-3 training is only the beginning of this compute-intensive era.
Zenqira emerged out of necessity. With a vision born of urgency, we launched the DePIN revolution. Golem Network embraces a future where computing power has no limits.
Golem (GLM) Price Predictions 2024 | Forecast 2025, 2030 Upto 2050 - CryptoOfficiel
https://cryptoofficiel.com/predictions/golem-price-prediction/?TRILLION
https://cryptoofficiel.com/predictions/golem-price-prediction/?TRILLION
CryptoOfficiel
Golem (GLM) Price Predictions 2024 | Forecast 2025, 2030 Upto 2050 - CryptoOfficiel
Find Golem (GLM) price prediction for the current bull season of 2024–25 and forecast for the upcoming market cycles of 2025, 2030, and up to 2050 based on the fundamentals of this decentralized computing platform and its historical price data sets. In this…
Maximize AI Opportunities: Earn Passive Income with Zenqira!
In the dynamic realm of technology, artificial intelligence reigns supreme, yet its progress is often impeded by the scarcity of high-performance computing resources, particularly GPUs. Enter Zenqira, pioneering a revolution in cloud computing. Our platform democratizes GPU access, tackling shortages head-on by enabling decentralized rental and lending of GPU nodes. Experience seamless transactions, cost transparency, and efficiency, while unlocking passive income opportunities by lending your GPU assets. Whether you're a startup or an industry giant, Zenqira caters to your AI processing needs with on-demand server access, simplifying the integration of advanced AI capabilities into your systems. Beyond traditional platforms, Zenqira offers GLM rewards, paving the way for passive income generation. Join our community-driven ecosystem and be a part of shaping the future of AI and GPU technology with Zenqira.
#CloudComputing #AI #GPU #TechInnovation #Decentralization #depin #GPUAccess #PassiveIncome #TechCommunity #AIProcessing #TechRevolution #Zenqira #GLMRewards #CommunityDriven #FutureTech #TechIndustry
In the dynamic realm of technology, artificial intelligence reigns supreme, yet its progress is often impeded by the scarcity of high-performance computing resources, particularly GPUs. Enter Zenqira, pioneering a revolution in cloud computing. Our platform democratizes GPU access, tackling shortages head-on by enabling decentralized rental and lending of GPU nodes. Experience seamless transactions, cost transparency, and efficiency, while unlocking passive income opportunities by lending your GPU assets. Whether you're a startup or an industry giant, Zenqira caters to your AI processing needs with on-demand server access, simplifying the integration of advanced AI capabilities into your systems. Beyond traditional platforms, Zenqira offers GLM rewards, paving the way for passive income generation. Join our community-driven ecosystem and be a part of shaping the future of AI and GPU technology with Zenqira.
#CloudComputing #AI #GPU #TechInnovation #Decentralization #depin #GPUAccess #PassiveIncome #TechCommunity #AIProcessing #TechRevolution #Zenqira #GLMRewards #CommunityDriven #FutureTech #TechIndustry
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Maximize AI Opportunities: Earn Passive Income with Zenqira!
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Maximize AI Opportunities: Earn Passive Income with Zenqira!
In the dynamic realm of technology, artificial intelligence reigns supreme, yet its progress is often impeded by the scarcity of high-performance computing resources, particularly GPUs. Enter Zenqira, pioneering a revolution in cloud computing. Our platform…