NVIDIA vs Broadcom 2026: AI Dominance vs Infrastructure
NVIDIA is a GPU and AI chip specialist with $60.9B revenue (2024) dominating AI/ML accelerators, while Broadcom is a diversified semiconductor company with $61.3B revenue (2024) focused on infrastructure, networking, and broadband solutions. NVIDIA's market cap ($3.4T) vastly exceeds Broadcom's ($290B) due to explosive AI demand.
NVIDIA Corporation
GPU and AI chip designer dominating AI accelerators, gaming, and data center markets.
Investors seeking pure-play AI infrastructure exposure and companies needing cutting-edge AI accelerators.
Broadcom Inc.
Infrastructure semiconductor leader in networking, broadband, and wireless connectivity
Infrastructure and telecom-focused investors seeking diversified semiconductor exposure without concentration risk.
Quick Answer
AI SummaryNVIDIA is a GPU and AI chip specialist with $60.9B revenue (2024) dominating AI/ML accelerators, while Broadcom is a diversified semiconductor company with $61.3B revenue (2024) focused on infrastructure, networking, and broadband solutions. NVIDIA's market cap ($3.4T) vastly exceeds Broadcom's ($290B) due to explosive AI demand.
Our Verdict
AI-assistedNVIDIA dominates the explosive AI/ML semiconductor market with 88% GPU share and 51.4% operating margins, making it the clear choice for AI infrastructure investors. Broadcom leads in diversified networking and broadband infrastructure with slightly higher absolute revenue but faces slower growth, making it better for stable, traditional telecom/enterprise networking exposure. Choose NVIDIA if betting on AI acceleration; choose Broadcom if seeking exposure to diverse infrastructure and telecom networking.
Was this verdict helpful?
TIE — neck and neck
Choose NVIDIA Corporation if
Investors seeking pure-play AI infrastructure exposure and companies needing cutting-edge AI accelerators.
Choose Broadcom Inc. if
Infrastructure and telecom-focused investors seeking diversified semiconductor exposure without concentration risk.
Track this comparison
Get notified when prices change, new specs ship, or our verdict updates.
Triggers: price change new spec verdict update
No spam. Stop anytime.
Key Differences at a Glance
- Market Capitalization (2024):✓ NVIDIA Corporation wins($3.4 trillion vs $290 billion)
- Primary Market Focus:AI accelerators, GPUs, data center vs Networking, infrastructure, broadband
- AI Chip Market Share:✓ NVIDIA Corporation wins(~88% of AI GPU market (2024) vs <5% (minimal AI chip presence))
Key Facts & Figures
53 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) | — | — |
| 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(Percent (%)) | 82% | — | — |
| 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+ | |
| Market Capitalization(USD (billions)) | $3,300B | $290 billion | |
| Annual Revenue (FY2024)(USD (billions)) | $60.9B | — | — |
| Data Center GPU Market Share(Percent (%)) | 88% | — | — |
| CPU Market Share (x86/x64)(Percent (%)) | ~15% | — | — |
| AI/ML Revenue (2024)(USD (billions)) | $47.4B (78% of total) | — | — |
| Gross Margin (2024)(Percent (%)) | 75.1% | — | — |
| R&D Investment (2024)(USD (billions)) | $8.7B (14% of revenue) | — | — |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- $3.4 trillion(winner)Market Capitalization (2024)$290 billion
- AI accelerators, GPUs, data centerPrimary Market FocusNetworking, infrastructure, broadband
- ~88% of AI GPU market (2024)(winner)AI Chip Market Share<5% (minimal AI chip presence)
- $60.9 billionAnnual Revenue (FY2024)$61.3 billion(winner)
- +126% (2024)(winner)Data Center Revenue Growth YoY+24% (2024)
- 51.4%(winner)Operating Margin (FY2024)28.1%
- GPUs, tensor processors, AI chipsPrimary Product CategoryEthernet switches, optical transport, WiFi/broadband
- Market Capitalization (2024)
NVIDIA Corporation
$3.4 trillion(winner)
Broadcom Inc.
$290 billion
- Primary Market Focus
NVIDIA Corporation
AI accelerators, GPUs, data center
Broadcom Inc.
Networking, infrastructure, broadband
- AI Chip Market Share
NVIDIA Corporation
~88% of AI GPU market (2024)(winner)
Broadcom Inc.
<5% (minimal AI chip presence)
- Annual Revenue (FY2024)
NVIDIA Corporation
$60.9 billion
Broadcom Inc.
$61.3 billion(winner)
- Data Center Revenue Growth YoY
NVIDIA Corporation
+126% (2024)(winner)
Broadcom Inc.
+24% (2024)
- Operating Margin (FY2024)
NVIDIA Corporation
51.4%(winner)
Broadcom Inc.
28.1%
- Primary Product Category
NVIDIA Corporation
GPUs, tensor processors, AI chips
Broadcom Inc.
Ethernet switches, optical transport, WiFi/broadband
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(Percent (%)) | 82% | — |
| Discrete GPU Market Share (2025)(%) | 88% | — |
Show 7 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 Data Center GPU Market Share(Percent (%)) 88% — CPU Market Share (x86/x64)(Percent (%)) ~15% — | ||
| 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) | — |
| Total Annual Revenue (FY2024)(USD (billions)) | $60.9 billion | $61.3 billion(winner) |
| Annual Revenue (2024)(USD billions) | $60.9B | $63.6B(winner) |
| Market Capitalization(USD (billions)) | $3,300B(winner) | $290 billion |
| Annual Revenue (FY2024)(USD (billions)) | $60.9B | — |
| Gross Margin (2024)(Percent (%)) | 75.1% | — |
| 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 |
| AI/ML Revenue (2024)(USD (billions)) | $47.4B (78% of total) | — |
| R&D Investment (2024)(USD (billions)) | $8.7B (14% of revenue) | — |
NVIDIA CorporationBroadcom Inc.Show 7 more attributes
Pros & Cons
10 pros·6 cons across both
NVIDIA Corporation
Pros
- 88% share of AI GPU market with near-monopoly on high-performance accelerators
- Data center revenue grew 126% YoY to $47.0B (2024), accounting for 77% of total revenue
- Operating margin of 51.4% demonstrates exceptional profitability and pricing power
- CUDA software ecosystem creates 10+ year technological moat with 6M+ developers
- H100/H200 GPUs command $30,000-$40,000 per unit with 3-4 quarter lead times
Cons
- Extreme valuation risk with P/E ratio of 65+ creates vulnerability to AI hype correction
- Heavy concentration in single GPU product category exposes to demand cliff if market saturates
- Supply chain constraints and geopolitical export restrictions (China sales ban) limit addressable market
Broadcom Inc.
Pros
- Market-leading position in data center networking with 40+ Ethernet switch products
- Diversified revenue across networking (38%), broadband (31%), and infrastructure (31%) reduces concentration risk
- Established relationships with major cloud providers (AWS, Google, Microsoft, Meta) for switch supply
- Operating margin of 28.1% is healthy and sustainable across diverse product lines
- Strong optical transport and PAM4 technology for next-gen 800G/1.6T data center interconnects
Cons
- Growth rate of 24% significantly lags NVIDIA's 126% data center expansion in booming AI market
- Limited presence in high-margin AI chip segment cedes $50B+ annual market opportunity to NVIDIA
- Network switch commoditization pressure as rivals (Cisco, Juniper, Arista) increase competition
Frequently Asked Questions
5 questions
NVIDIA commands a 65.2x P/E ratio vs. Broadcom's 28.4x due to explosive AI demand and 126% YoY data center growth. Investors are pricing in continued AI infrastructure dominance and NVIDIA's near-monopoly on high-performance GPUs. Broadcom's mature, slower-growth networking business (24% growth) justifies a lower valuation multiple despite similar absolute revenue figures.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
Related Comparisons
12 more to explore
NVIDIA vs Broadcom
technologyNVIDIA vs AMD
technologyNVIDIA vs Intel
technologyNVIDIA vs Qualcomm
technologyNVIDIA vs Intel
technologyNVIDIA vs AMD
technologyNVIDIA vs AMD
technologyiPhone 17 vs Samsung Galaxy S26
technologyPS5 vs Xbox Series X
technologyMac vs Windows
technologyAndroid vs iOS
technologyNVIDIA vs AMD
technology
Related Articles
5 articles
- technology
Best Streaming Services in 2026: Top Picks for Every Budget & Interest
Navigating the crowded streaming landscape in 2026 can be overwhelming. We've tested and ranked the best streaming services that offer the most value, from Netflix's massive library to budget-friendly options like Tubi, helping you cut cable and find your perfect entertainment solution.
Read article - technology
Best Live TV Streaming Services & Plans for Spring 2026: Complete Buyer's Guide
Tired of overpaying for cable? Discover the best live TV streaming services and plans for Spring 2026, including YouTube TV's new genre-based packages starting at $55/month. Our comprehensive guide breaks down pricing, channels, and features to help you cut the cord.
Read article - technology
Philo in 2026: Streaming TV Service Review, Pricing & Reddit Community Insights
Explore Philo's evolution heading into 2026, including pricing tiers, channel lineup, and how it compares to competitors like Sling TV. Discover what the r/PhiloTV Reddit community thinks about the service's current offerings and future prospects.
Read article - technology
Best US Fighter Jets 2026: Top American Combat Aircraft Ranked
Discover the most advanced US fighter jets dominating the skies in 2026. From the legendary F-22 Raptor to the versatile F-35 Lightning II, we rank America's best combat aircraft based on performance, stealth, and air superiority capabilities.
Read article - technology
Philo in 2026: Pricing, Lineup & How It Compares to Sling TV
As we head into 2026, Philo continues to position itself as an affordable streaming alternative for cable TV lovers. Discover what Philo offers, how its pricing stacks up against competitors like Sling TV, and what the Reddit community thinks about its future.
Read article
Explore More
Related comparisons and categories