Network. Pexels Images.
This article covers the revenue distribution of Nvidia’s data center. Nvidia’s data center revenue consists of two major streams: Compute and Networking.
You may find more information about Nvidia’s Compute and Networking platforms here: Data Center, Compute, and Networking.
Let’s get started.
Investors interested in Nvidia’s other key statistics may find more resources on these pages:
Revenue
- Nvidia revenue by segment: compute & networking and graphics,
- Nvidia revenue by platform: data center, gaming, automotive, etc.,
- Nvidia revenue by country: U.S., Singapore, Taiwan, China, etc.,
Profit margin
R&D Expenditures
Other Statistics
- Nvidia inventory levels, days sales, and turnover ratio,
- Nvidia financial health: debt, payment due, and liquidity,
Please use the table of contents to navigate this page.
Table Of Contents
Definitions And Overview
O2. What drives Nvidia’s significant revenue growth within the Compute platform?
Insight & Summary of Observed Trends
Z1. Insight & Summary of Nvidia’s Data Center Revenue
Data Center Statistics
Compute and Networking Segment Statistics
B1. Revenue from Compute and Networking
Reference, Credits, and Disclosure
S1. References and Credits
S2. Disclosure
Definitions
To help readers understand the content better, the following terms and glossaries have been provided.
Data Center: Nvidia’s Data Center platform is focused on accelerating the most compute-intensive workloads, such as AI, data analytics, graphics, and scientific computing, delivering significantly better performance and power efficiency relative to conventional CPU-only approaches.
It is deployed in cloud, hyperscale, on-premises and edge data centers. The platform consists of compute and networking offerings typically delivered to customers as systems, subsystems, or modules, along with software and services.
Compute: Nvidia’s compute offerings include supercomputing platforms and servers, bringing together its energy efficient GPUs, CPUs, interconnects, and fully optimized AI and HPC software stacks.
In addition, they include Nvidia’s AI Enterprise software; DGX Cloud service; and a growing body of acceleration libraries, APIs, SDKs, and domain-specific application frameworks
Networking: Nvidia’s networking offerings include end-to-end platforms for InfiniBand and Ethernet, consisting of network adapters, cables, DPUs, switch chips and systems, as well as a full software stack.
This has enabled Nvidia to architect data center-scale computing platforms that can interconnect thousands of compute nodes with high-performance networking.
While historically the server was the unit of computing, as AI and HPC workloads have become extremely large spanning thousands of compute nodes, the data center has become the new unit of computing, with networking as an integral part.
Data Center Customers: Nvidia’s customers include the world’s leading public cloud and consumer internet companies, thousands of enterprises and startups, and public sector entities.
Nvidia works with industry leaders to help build or transform their applications and data center infrastructure.
The company’s direct customers include original equipment manufacturers, or OEMs, original device manufacturers, or ODMs, system integrators and distributors which Nvidia partners with to help bring their products to market.
Nvidia also has partnerships in automotive, healthcare, financial services, manufacturing, retail, and technology among others, to accelerate the adoption of AI.
What drives Nvidia’s significant revenue growth within the Compute platform?
Nvidia’s significant revenue growth within the Compute platform is primarily driven by the explosive demand for AI training and inference. The Compute platform includes components like processors and memory chips that run applications on servers. This segment has seen remarkable growth due to the increasing adoption of AI technologies across various industries.
In fiscal year 2025, Nvidia’s data center compute revenue grew by 162% year-over-year. This growth is attributed to the high demand for Nvidia’s AI supercomputers, particularly the Blackwell platform. The company’s ability to ramp up massive-scale production of these AI supercomputers has significantly contributed to its revenue growth.
Additionally, Nvidia’s Compute platform plays a crucial role in high-performance computing (HPC), cloud computing, data analytics, and scientific research, further driving its revenue growth.
Insight & Summary of Nvidia’s Data Center Revenue
The following analysis consolidates the trends observed for Nvidia’s data center revenue for the 2018–2026 period.
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Nvidia’s data center business has become the company’s defining growth driver, expanding from under $2 billion in 2018 to nearly $194 billion by 2026. Its share of total revenue surged from 20% to almost 90%, reflecting the structural shift toward AI compute and hyperscale infrastructure demand.
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Within the data center segment, Compute has consistently dominated, rising from 75% of the mix in 2023 to nearly 89% in 2025 before moderating slightly in 2026.
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Networking, while smaller, showed bursts of acceleration — most notably 141% growth in 2026 — indicating strengthening demand for interconnect and high-bandwidth solutions critical to scaling AI workloads.
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Growth rates underscore the extraordinary trajectory: Compute delivered triple-digit expansion in 2024 and 2025 before normalizing, while Networking’s resurgence in 2026 highlights diversification within the segment.
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In summary, Nvidia’s data center revenue profile reflects both scale and resilience, with Compute anchoring profitability and Networking providing incremental growth.
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The observed trends confirm Nvidia’s transformation into the backbone of global AI infrastructure, with its future increasingly tied to enterprise-scale compute and networking ecosystems.
The table below combines all key revenue metrics into a single view for the latest three fiscal years.
Nvidia Consolidated Data Center Performance 3-Year Averages (FY2024–2026)
| Metric | 3-Year Avg. Value |
|---|---|
| Data Center Overall Revenue | |
| Data Center Revenue ($ Millions) | $118,816.00 |
| Total Company Revenue ($ Millions) | $135,785.67 |
| Data Center to Total Revenue Ratio (%) | 85.33% |
| Data Center Breakdown ($ Millions) | |
| Compute Revenue | $101,169.00 |
| Networking Revenue | $17,647.00 |
| Data Center Mix (%) | |
| Compute Mix | 84.83% |
| Networking Mix | 15.17% |
| YoY Growth Rates (%) | |
| Data Center Overall Growth | 142.43% |
| Compute Growth | 155.17% |
| Networking Growth | 108.50% |
Revenue From Data Center
The definition of Nvidia’s Data Center is available here: Data Center.
Data Center Overall Revenue 3-Year Averages (FY2024–2026)
| Metric | 3-Year Avg. Value |
|---|---|
| Data Center Revenue ($ Millions) | $118,816.00 |
| Total Revenue ($ Millions) | $135,785.67 |
| Data Center to Total Revenue Ratio (%) | 85.33% |
Revenue From Compute And Networking
Nvidia’s data center revenue consists of two sources: Compute and Networking. The definitions of these platforms are available here: Compute and Networking.
Within Nvidia’s data center platform, the compute segment is the dominant force, generating the majority of sales. This is clearly illustrated in the accompanying graph, where the revenue from the compute segment significantly outpaces the revenue from the networking market.
Data Center Revenue Breakdown 3-Year Averages (FY2024–2026)
| Metric | 3-Year Avg. Value |
|---|---|
| Compute Revenue ($ Millions) | $101,169.00 |
| Networking Revenue ($ Millions) | $17,647.00 |
Data Center Revenue Mix 3-Year Averages (FY2024–2026)
| Metric | 3-Year Avg. Value |
|---|---|
| Compute Mix (%) | 84.83% |
| Networking Mix (%) | 15.17% |
Data Center Revenue Growth 3-Year Averages (FY2024–2026)
| Metric | 3-Year Avg. Value |
|---|---|
| Data Center Overall Growth (%) | 142.43% |
| Compute Growth (%) | 155.17% |
| Networking Growth (%) | 108.50% |
References and Credits
1. All financial figures presented were obtained and referenced from Nvidia’s quarterly and annual reports published on the company’s investor relations page: Nvidia Financial Reports.
2. Pexels Images.
Disclosure
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