NVIDIA vs Broadcom 2026: AI GPU vs Infrastructure
NVIDIA dominates AI and GPU computing with $60.9B revenue (2024) and 88% data center GPU market share, while Broadcom leads infrastructure networking with $63.6B revenue and serves broader telecom/data center connectivity markets. NVIDIA's growth trajectory is steeper due to AI boom dominance, but Broadcom has more diversified revenue streams.
NVIDIA Corporation
AI and GPU computing leader with dominant data center processor market share
Growth investors betting on AI infrastructure dominance, companies needing maximum compute density for LLMs, cloud providers requiring competitive AI offerings
Broadcom Inc.
Infrastructure semiconductor leader in networking, broadband, and wireless connectivity
Value-oriented investors wanting semiconductor exposure with diversification, infrastructure operators needing networking/broadband solutions, portfolios seeking lower volatility than pure-play AI
Quick Answer
AI SummaryNVIDIA dominates AI and GPU computing with $60.9B revenue (2024) and 88% data center GPU market share, while Broadcom leads infrastructure networking with $63.6B revenue and serves broader telecom/data center connectivity markets. NVIDIA's growth trajectory is steeper due to AI boom dominance, but Broadcom has more diversified revenue streams.
Our Verdict
AI-assistedChoose NVIDIA if you're investing in AI computing leadership, GPU innovation, and highest-growth semiconductor exposure—its 88% AI chip market dominance and 126% YoY growth are unmatched. Choose Broadcom if you prefer a diversified infrastructure play with exposure to networking, wireless, broadband, and storage—offering more stability and lower valuation volatility despite slower growth.
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TIE — neck and neck
Choose NVIDIA Corporation if
Growth investors betting on AI infrastructure dominance, companies needing maximum compute density for LLMs, cloud providers requiring competitive AI offerings
Choose Broadcom Inc. if
Value-oriented investors wanting semiconductor exposure with diversification, infrastructure operators needing networking/broadband solutions, portfolios seeking lower volatility than pure-play AI
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Key Differences at a Glance
- 2024 Revenue:✓ Broadcom Inc. wins($63.6 billion vs $60.9 billion)
- Data Center GPU Market Share:✓ NVIDIA Corporation wins(88% (dominant) vs Not applicable)
- Primary Business Focus:AI processors, GPUs, data center computing vs Networking, infrastructure, broadband semiconductors
Key Facts & Figures
47 numeric metrics compared
| Metric | NVIDIA Corporation | Broadcom Inc. | Ratio |
|---|---|---|---|
| GPU Memory (Consumer Flagship)(GB) | 12 GB GDDR6X (RTX 4070) | — | — |
| CUDA/GPU Cores (RTX 4070)(cores) | 5,888 CUDA cores | — | — |
| Employee Satisfaction Score(%) | 76-78% | — | — |
| Memory Interface Width (RTX 4070)(bits) | 192-bit | — | — |
| x86 Server CPU Market Share(%) | 15% | — | — |
| Flagship Consumer GPU Performance(TFLOPS (FP32)) | 24 TFLOPS (RTX 5090) | — | — |
| Consumer GPU Price Entry Point(USD) | $249 (RTX 4060) | — | — |
| CUDA/OneAPI Framework Support(% of major ML frameworks) | 99% optimized for CUDA | — | — |
| Professional GPU VRAM Options(GB) | 48GB (RTX 4000 Ada) | — | — |
| Years in Discrete GPU Business(years) | 26 years (since 1999) | — | — |
| Market Capitalization(USD trillions) | $3,400 billion | $290 billion | |
| Total Annual Revenue (FY2024)(USD (billions)) | $60.9 billion | $61.3 billion | |
| Data Center/Infrastructure Revenue Growth(% YoY) | +126% | +24% | |
| Operating Margin(%) | 51% | 28% | |
| Data Center Revenue as % of Total(%) | 77% | 38% (Networking) | |
| AI GPU Market Share(%) | 88% | <5% | |
| Price-to-Earnings Ratio(P/E multiple) | 65.2x | 28.4x | |
| Number of Product Categories(count) | 3 (GPUs, CPUs, networking) | 6 (networking, broadband, optical, wireless, storage, infrastructure) | |
| Data Center Market Share (2026)(%) | 88% | — | — |
| H100/MI300X FP8 Compute Performance(TFLOPS) | 141 TFLOPS | — | — |
| Flagship Consumer GPU Price(USD) | $1,599 (RTX 4090) | — | — |
| Gaming GPU Market Share(%) | 80% | — | — |
| CUDA/ROCm Optimized Applications(applications) | 81,000+ CUDA apps | — | — |
| H100/MI300X Power Consumption(watts) | 700W (H100) | — | — |
| Fortune 500 AI Adoption Rate(%) | 82% | — | — |
| RTX 4080 vs RX 7900 XTX Gaming FPS (4K Ultra)(fps) | 87 fps avg | — | — |
| Discrete GPU Market Share (2025)(%) | 88% | — | — |
| Flagship GPU Price(USD) | $1,999 (RTX 4090) | — | — |
| 4K Gaming Performance (Ultra Settings)(fps) | 180 fps avg (RTX 4090) | — | — |
| Data Center Revenue (2025)(USD billions) | $60.9B | — | — |
| Professional Software Support(%) | 95% (CUDA native support) | — | — |
| Power Consumption (Flagship)(watts) | 575W (RTX 4090) | — | — |
| Maximum Flagship VRAM(GB) | 48GB (RTX 6000 Ada workstation) | — | — |
| AI/ML Ecosystem Maturity(years) | 15+ years (CUDA established 2007) | — | — |
| Discrete GPU Market Share (2024)(%) | 88% | — | — |
| Data Center Revenue (2023)(USD Billions) | $60.9B | — | — |
| RTX 4090 / RX 7900 XTX Performance (Gaming)(FPS at 4K Ultra) | 145 FPS (Cyberpunk 2077) | — | — |
| H100 / MI300X AI Training (Peak TFLOPS FP8)(TFLOPS) | 141 TFLOPS | — | — |
| CUDA vs ROCm Library Ecosystem Size(Libraries) | 2,000,000+ CUDA libs | — | — |
| GPU Power Consumption (High-end)(Watts) | 450W (RTX 4090) | — | — |
| Server CPU Market Share(%) | 20% (GPU/AI servers) | — | — |
| Desktop CPU Market Share (2024)(%) | 45% (Ryzen strength) | — | — |
| Annual Revenue (2024)(USD billions) | $60.9B | $63.6B | |
| Year-over-Year Revenue Growth(%) | 126% | 42% | |
| Data Center/AI Market Share Position(%) | 88% GPU market share | Not applicable in GPUs | — |
| Price-to-Earnings Ratio (2024)(P/E multiple) | ~60x | ~30x | |
| Employee Headcount(thousands) | 28,000+ | 20,000+ |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- $60.9 billion2024 Revenue$63.6 billion(winner)
- 88% (dominant)(winner)Data Center GPU Market ShareNot applicable
- AI processors, GPUs, data center computingPrimary Business FocusNetworking, infrastructure, broadband semiconductors
- 126% growth year-over-year(winner)YoY Revenue Growth (2024)42% growth year-over-year
- 51%(winner)Operating Margin (2024)28%
- 28,000+(winner)Employee Count20,000+
- ~80% of revenue from AI/data center(winner)AI/ML Revenue Dependency~15% from AI-adjacent infrastructure
- 2024 Revenue
NVIDIA Corporation
$60.9 billion
Broadcom Inc.
$63.6 billion(winner)
- Data Center GPU Market Share
NVIDIA Corporation
88% (dominant)(winner)
Broadcom Inc.
Not applicable
- Primary Business Focus
NVIDIA Corporation
AI processors, GPUs, data center computing
Broadcom Inc.
Networking, infrastructure, broadband semiconductors
- YoY Revenue Growth (2024)
NVIDIA Corporation
126% growth year-over-year(winner)
Broadcom Inc.
42% growth year-over-year
- Operating Margin (2024)
NVIDIA Corporation
51%(winner)
Broadcom Inc.
28%
- Employee Count
NVIDIA Corporation
28,000+(winner)
Broadcom Inc.
20,000+
- AI/ML Revenue Dependency
NVIDIA Corporation
~80% of revenue from AI/data center(winner)
Broadcom Inc.
~15% from AI-adjacent infrastructure
Full Comparison
| Attribute | NVIDIA Corporation | Broadcom Inc. |
|---|---|---|
| GPU Memory (Consumer Flagship)(GB) | 12 GB GDDR6X (RTX 4070) | — |
| CUDA/GPU Cores (RTX 4070)(cores) | 5,888 CUDA cores | — |
| Memory Interface Width (RTX 4070)(bits) | 192-bit | — |
| Employee Satisfaction Score(%) | 76-78% | — |
| Snapdragon 6 Gen 5 App Launch Speed Improvement(%) | N/A - GPU focus | — |
| Screen Stutter Reduction (Snapdragon 6 Gen 5)(%) | N/A - GPU focus | — |
| H100/MI300X FP8 Compute Performance(TFLOPS) | 141 TFLOPS | — |
| RTX 4080 vs RX 7900 XTX Gaming FPS (4K Ultra)(fps) | 87 fps avg | — |
| 2026 Major Product Launches | DLSS 4.5, RTX Remix, 20 new GDC games | — |
| x86 Server CPU Market Share(%) | 15% | — |
| AI GPU Market Share(%) | 88%(winner) | <5% |
| Data Center Market Share (2026)(%) | 88% | — |
| Gaming GPU Market Share(%) | 80% | — |
| Discrete GPU Market Share (2025)(%) | 88% | — |
Show 5 more attributesData Center Revenue (2025)(USD billions) $60.9B — Discrete GPU Market Share (2024)(%) 88% — Server CPU Market Share(%) 20% (GPU/AI servers) — Desktop CPU Market Share (2024)(%) 45% (Ryzen strength) — Data Center/AI Market Share Position(%) 88% GPU market share Not applicable in GPUs | ||
| Flagship Consumer GPU Performance(TFLOPS (FP32)) | 24 TFLOPS (RTX 5090) | — |
| RTX 4090 / RX 7900 XTX Performance (Gaming)(FPS at 4K Ultra) | 145 FPS (Cyberpunk 2077) | — |
| Consumer GPU Price Entry Point(USD) | $249 (RTX 4060) | — |
| Flagship Consumer GPU Price(USD) | $1,599 (RTX 4090) | — |
| Flagship GPU Price(USD) | $1,999 (RTX 4090) | — |
| CUDA/OneAPI Framework Support(% of major ML frameworks) | 99% optimized for CUDA | — |
| CUDA/ROCm Optimized Applications(applications) | 81,000+ CUDA apps | — |
| Professional Software Support(%) | 95% (CUDA native support) | — |
| AI/ML Ecosystem Maturity(years) | 15+ years (CUDA established 2007) | — |
| Professional GPU VRAM Options(GB) | 48GB (RTX 4000 Ada) | — |
| Years in Discrete GPU Business(years) | 26 years (since 1999) | — |
| Market Capitalization(USD trillions) | $3,400 billion(winner) | $290 billion |
| Total Annual Revenue (FY2024)(USD (billions)) | $60.9 billion | $61.3 billion(winner) |
| Annual Revenue (2024)(USD billions) | $60.9B | $63.6B(winner) |
| Data Center/Infrastructure Revenue Growth(% YoY) | +126%(winner) | +24% |
| Year-over-Year Revenue Growth(%) | 126%(winner) | 42% |
| Operating Margin(%) | 51%(winner) | 28% |
| Data Center Revenue as % of Total(%) | 77% | 38% (Networking) |
| Price-to-Earnings Ratio(P/E multiple) | 65.2x | 28.4x(winner) |
| Number of Product Categories(count) | 3 (GPUs, CPUs, networking) | 6 (networking, broadband, optical, wireless, storage, infrastructure)(winner) |
| H100/MI300X Power Consumption(watts) | 700W (H100) | — |
| Power Consumption (Flagship)(watts) | 575W (RTX 4090) | — |
| GPU Power Consumption (High-end)(Watts) | 450W (RTX 4090) | — |
| Fortune 500 AI Adoption Rate(%) | 82% | — |
| 4K Gaming Performance (Ultra Settings)(fps) | 180 fps avg (RTX 4090) | — |
| Maximum Flagship VRAM(GB) | 48GB (RTX 6000 Ada workstation) | — |
| Data Center Revenue (2023)(USD Billions) | $60.9B | — |
| H100 / MI300X AI Training (Peak TFLOPS FP8)(TFLOPS) | 141 TFLOPS | — |
| CUDA vs ROCm Library Ecosystem Size(Libraries) | 2,000,000+ CUDA libs | — |
| Price-to-Earnings Ratio (2024)(P/E multiple) | ~60x | ~30x(winner) |
| Employee Headcount(thousands) | 28,000+ | 20,000+ |
| Business Diversification Score(revenue streams) | Concentrated: AI chips 80%, gaming 15%, professional visualization 5% | Diversified: Networking, wireless, broadband, storage, AI infrastructure |
NVIDIA CorporationBroadcom Inc.Show 5 more attributes
Pros & Cons
10 pros·4 cons across both
NVIDIA Corporation
Pros
- 88% data center GPU market share (uncontested dominance in AI chips)
- 126% YoY revenue growth (2024), fastest growth among major semiconductor firms
- 51% operating margin (highest profitability in semiconductor industry)
- CUDA ecosystem with 20+ million developers locked into proprietary platform
- H100/H200/Blackwell GPUs setting industry standard for LLM training
Cons
- Extreme valuation at ~60x P/E (2024), pricing in perfect execution for years
- Concentrated risk: ~80% revenue dependent on AI/data center boom that could cool
Broadcom Inc.
Pros
- $63.6B revenue (2024)—larger total scale than NVIDIA across diversified markets
- Market-leading positions in optical networking, broadband semiconductors, and infrastructure switches
- 28% operating margin with 42% YoY growth provides balanced profitability and expansion
- Exposure to multiple growth vectors: 5G/6G wireless, data center networking, optical interconnect, automotive
- Lower valuation at ~30x P/E provides margin of safety vs. NVIDIA's AI premium
Cons
- Limited exposure to generative AI boom (only ~15% of revenue growth from AI-adjacent areas)
- Slower growth rate (42% YoY) means missing out on explosive AI semiconductor momentum
Frequently Asked Questions
5 questions
NVIDIA has steeper growth momentum (126% YoY growth vs. Broadcom's 42%), but carries significantly higher valuation risk at 60x P/E. Broadcom at 30x P/E offers steadier appreciation with lower downside risk. NVIDIA wins on growth rate; Broadcom on risk-adjusted returns.
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