RTX 5080 vs RTX 5090
The RTX 5090 delivers 60% more CUDA cores (21,760 vs 14,080) and 36% higher memory bandwidth (1,792 GB/s vs 576 GB/s) compared to the RTX 5080, positioning it as the flagship for extreme 4K gaming and professional workloads, while the RTX 5080 provides better value for high-performance 4K gaming and content creation.
GeForce RTX 5080
High-end flagship GPU with 14,080 CUDA cores and 16GB GDDR7 for premium 4K gaming and professional workloads.
4K gamers, content creators, and professionals wanting flagship performance with efficient power consumption and standard PSU requirements.
GeForce RTX 5090
Extreme flagship GPU with 21,760 CUDA cores and 32GB GDDR7 for ultra-high-performance 4K/8K gaming and professional AI/ML applications.
Professional AI/ML researchers, extreme 4K/8K gamers, 3D artists handling massive datasets, and content creators requiring maximum computational headroom.
Quick Answer
AI SummaryThe RTX 5090 delivers 60% more CUDA cores (21,760 vs 14,080) and 36% higher memory bandwidth (1,792 GB/s vs 576 GB/s) compared to the RTX 5080, positioning it as the flagship for extreme 4K gaming and professional workloads, while the RTX 5080 provides better value for high-performance 4K gaming and content creation.
Our Verdict
AI-assistedChoose the RTX 5090 if you demand maximum 4K gaming performance at 120+ fps, run demanding AI workloads, or work with massive 3D datasets requiring 32GB VRAM—the performance uplift justifies the 575W PSU investment. Choose the RTX 5080 if you prioritize efficient 4K gaming (80-85 fps), content creation workflows, and require lower power consumption while maintaining flagship-tier performance at better efficiency.
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Choose GeForce RTX 5080 if
4K gamers, content creators, and professionals wanting flagship performance with efficient power consumption and standard PSU requirements.
Choose GeForce RTX 5090 if
Best pickProfessional AI/ML researchers, extreme 4K/8K gamers, 3D artists handling massive datasets, and content creators requiring maximum computational headroom.
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Key Differences at a Glance
- CUDA Cores:✓ GeForce RTX 5090 wins(21,760 cores vs 14,080 cores)
- Memory Bandwidth:✓ GeForce RTX 5090 wins(1,792 GB/s vs 576 GB/s)
- VRAM Configuration:✓ GeForce RTX 5090 wins(32 GB GDDR7 vs 16 GB GDDR7)
Key Facts & Figures
8 numeric metrics compared
| Metric | GeForce RTX 5080 | GeForce RTX 5090 | Ratio |
|---|---|---|---|
| CUDA Cores(cores) | 14,080 | 21,760 | -35% |
| Memory Capacity(GB) | 16 GB GDDR7 | 32 GB GDDR7 | -50% |
| Memory Bandwidth(GB/s) | 576 GB/s | 1,792 GB/s | -68% |
| Power Consumption (TDP)(W) | 320W | 575W | -44% |
| 4K Gaming Performance (Ultra Settings)(fps) | 80-85 fps | 120-130 fps | -34% |
| FP32 Performance(TFLOPS) | ~700 TFLOPS | ~1,456 TFLOPS | -52% |
| Estimated MSRP(USD) | $1,999 | $1,999 | |
| Recommended PSU(W) | 750W minimum | 1000W minimum | -25% |
Sourced from publicly available data · Jul 2026
Key Differences
7 attributes compared head-to-head
- 14,080 coresCUDA Cores21,760 cores
- 576 GB/sMemory Bandwidth1,792 GB/s
- 16 GB GDDR7VRAM Configuration32 GB GDDR7
- 320WTDP (Power Consumption)575W
- $1,999 USDEstimated MSRP$1,999 USD
- ~80-85 fps at ultra settings4K Gaming Performance Uplift~120-130 fps at ultra settings
- ~700 TFLOPS FP32Professional AI/ML Performance~1,456 TFLOPS FP32
- CUDA Cores
GeForce RTX 5080
14,080 cores
GeForce RTX 5090
21,760 cores
- Memory Bandwidth
GeForce RTX 5080
576 GB/s
GeForce RTX 5090
1,792 GB/s
- VRAM Configuration
GeForce RTX 5080
16 GB GDDR7
GeForce RTX 5090
32 GB GDDR7
- TDP (Power Consumption)
GeForce RTX 5080
320W
GeForce RTX 5090
575W
- Estimated MSRP
GeForce RTX 5080
$1,999 USD
GeForce RTX 5090
$1,999 USD
- 4K Gaming Performance Uplift
GeForce RTX 5080
~80-85 fps at ultra settings
GeForce RTX 5090
~120-130 fps at ultra settings
- Professional AI/ML Performance
GeForce RTX 5080
~700 TFLOPS FP32
GeForce RTX 5090
~1,456 TFLOPS FP32
Full Comparison
| Attribute | GeForce RTX 5080 | GeForce RTX 5090 |
|---|---|---|
| CUDA Cores(cores) | 14,080 | 21,760 |
| Memory Capacity(GB) | 16 GB GDDR7 | 32 GB GDDR7 |
| Memory Bandwidth(GB/s) | 576 GB/s | 1,792 GB/s |
| Power Consumption (TDP)(W) | 320W | 575W |
| 4K Gaming Performance (Ultra Settings)(fps) | 80-85 fps | 120-130 fps |
| FP32 Performance(TFLOPS) | ~700 TFLOPS | ~1,456 TFLOPS |
| Estimated MSRP(USD) | $1,999 | $1,999 |
| Recommended PSU(W) | 750W minimum | 1000W minimum |
GeForce RTX 5080GeForce RTX 5090Pros & Cons
10 pros·4 cons across both
GeForce RTX 5080
Pros
- 14,080 CUDA cores deliver strong 4K gaming at 80-85 fps ultra settings
- 320W TDP allows standard 750W PSU compatibility without upgrades
- 16GB GDDR7 sufficient for most 4K gaming and professional workflows
- Excellent price-to-performance ratio at $1,999 MSRP
- DLSS 4 with Frame Generation supports 100+ popular AAA titles
Cons
- 60% fewer CUDA cores than RTX 5090 limits extreme 4K/8K performance ceilings
- 16GB VRAM insufficient for large-scale AI model training or massive dataset processing
GeForce RTX 5090
Pros
- 21,760 CUDA cores deliver 120-130 fps at 4K ultra settings with ray tracing
- 32GB GDDR7 VRAM ideal for large-scale AI training, 3D rendering, and video processing
- 1,792 GB/s memory bandwidth 3.1x higher than RTX 5080 for data-intensive workflows
- 1,456 TFLOPS FP32 performance enables professional-grade compute workloads
- DLSS 4 Frame Generation optimized for maximum throughput on demanding titles
Cons
- 575W TDP requires 1000W+ PSU, forcing expensive power supply upgrades for most users
- Double the price in real-world availability despite matching MSRP—significant market premium
Frequently Asked Questions
5 questions
For 4K gaming at 120+ fps with ray tracing, the RTX 5090's 50% performance uplift justifies the investment if you have a 1000W PSU or budget $200-300 for an upgrade. However, if 80-85 fps satisfies your gaming needs, the RTX 5080's superior efficiency makes it the better value choice. Professional AI/ML users will see clear ROI from the 32GB VRAM and 2.1x compute performance.
Resources & Learn More
Curated sources to dive deeper
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Wikipedia
- W
GeForce RTX 5080 on Wikipedia
High-end flagship GPU with 14,080 CUDA cores and 16GB GDDR7 for premium 4K gaming and professional workloads.
- W
GeForce RTX 5090 on Wikipedia
Extreme flagship GPU with 21,760 CUDA cores and 32GB GDDR7 for ultra-high-performance 4K/8K gaming and professional AI/ML applications.
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