RTX 5080 vs RTX 5090: Gaming & AI Performance 2026
The RTX 5090 delivers 36% more CUDA cores (21,760 vs 14,080) and 55% higher memory bandwidth (1,792 GB/s vs 576 GB/s), making it substantially more powerful for high-end gaming and AI workloads, while the RTX 5080 offers better value for 1440p and entry-level 4K gaming.
NVIDIA RTX 5080
Mid-to-high-end GPU with 14,080 CUDA cores and 14GB VRAM for flagship 1440p/4K gaming
Gamers targeting 1440p/4K performance, 3D artists, and content creators wanting efficient mid-range performance without maximum compute power
NVIDIA RTX 5090
Flagship GPU with 21,760 CUDA cores and 32GB VRAM for extreme gaming and AI computation
AI researchers, professional compute workload users, high-end data center deployments, and enthusiasts demanding maximum 4K/8K gaming performance with ray tracing
Quick Answer
AI SummaryThe RTX 5090 delivers 36% more CUDA cores (21,760 vs 14,080) and 55% higher memory bandwidth (1,792 GB/s vs 576 GB/s), making it substantially more powerful for high-end gaming and AI workloads, while the RTX 5080 offers better value for 1440p and entry-level 4K gaming.
Our Verdict
AI-assistedChoose the RTX 5090 if you're running compute-intensive AI inference, training large models, or targeting stable 4K 120+ fps gaming with maximum settings. Choose the RTX 5080 if you're gaming at 1440p/4K 60fps, want better power efficiency, prefer lower heat output, or need the best value for mainstream gaming and content creation.
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Choose NVIDIA RTX 5080 if
Gamers targeting 1440p/4K performance, 3D artists, and content creators wanting efficient mid-range performance without maximum compute power
Choose NVIDIA RTX 5090 if
Best pickAI researchers, professional compute workload users, high-end data center deployments, and enthusiasts demanding maximum 4K/8K gaming performance with ray tracing
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Key Differences at a Glance
- CUDA Cores:✓ NVIDIA RTX 5090 wins(21,760 cores vs 14,080 cores)
- Memory Bandwidth:✓ NVIDIA RTX 5090 wins(1,792 GB/s vs 576 GB/s)
- VRAM:✓ NVIDIA RTX 5090 wins(32 GB GDDR7 vs 14 GB GDDR7)
Key Facts & Figures
29 numeric metrics compared
| Metric | NVIDIA RTX 5080 | NVIDIA RTX 5090 | Ratio |
|---|---|---|---|
| CUDA Cores(cores) | 14,080 | 21,760 | |
| Memory Interface(bit) | 320-bit | — | — |
| Memory Bandwidth(GB/s) | 576 | 1,792 | |
| FP32 Performance(TFLOPS) | 54.9 TFLOPS | — | — |
| Boost Clock(GHz) | 2.55 GHz | — | — |
| VRAM Capacity(GB) | 16 GB GDDR7 | — | — |
| Power Consumption(W) | 575W TDP | — | — |
| Launch Price (MSRP)(USD) | $999 | — | — |
| Boost Clock Speed(MHz) | 2,655 MHz | — | — |
| 4K Gaming Performance (avg FPS)(FPS) | 165 FPS (ultra settings) | — | — |
| TDP (Power Consumption)(W) | 575W | — | — |
| FP32 Tensor Performance(TFLOPS) | 1,457 TFLOPS | — | — |
| Recommended Retail Price (USD)(USD) | $2,199 | — | — |
| Peak FP32 Performance(TFLOPS) | 1,457 | 2,280 | |
| Ray Tracing (RT) Performance(TFLOPS) | 364 | 570 | |
| Memory Capacity(GB) | 16 | 32 | |
| Power Consumption (TDP)(W) | 320W | 575W | |
| 1440p Gaming (avg. fps in modern AAA)(fps) | 165 | 240 | |
| Launch MSRP(USD) | $1,999 | $1,999 | |
| CUDA Cores(cores) | 10,240 | — | — |
| Memory Bandwidth(GB/s) | 576 | — | — |
| TDP (Power Consumption)(W) | 320 | — | — |
| Manufacturing Process(nm) | 5 | — | — |
| Expected 4K Gaming Performance(%) | +35-40% vs 4080S | — | — |
| MSRP Launch Price(USD) | 1,999 | — | — |
| VRAM(GB) | 14GB GDDR7 | 32GB GDDR7 | |
| Estimated MSRP(USD) | $1,999 | $2,199 | |
| Estimated 4K Gaming Performance(fps) | 60-90 fps (max settings) | 120+ fps (max settings) | |
| AI Inference Throughput (Large Models)(TFLOPS) | ~141 TFLOPS (FP32) | ~219 TFLOPS (FP32) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- 14,080 coresCUDA Cores21,760 cores(winner)
- 576 GB/sMemory Bandwidth1,792 GB/s(winner)
- 14 GB GDDR7VRAM32 GB GDDR7(winner)
- 320W(winner)TDP575W
- $1,999(winner)Estimated MSRP$2,199
- $0.142 per TFLOP(winner)Performance Per Dollar$0.103 per TFLOP
- 8.1 TB/s effectiveMax Memory Throughput (AI Workloads)25.2 TB/s effective(winner)
- CUDA Cores
NVIDIA RTX 5080
14,080 cores
NVIDIA RTX 5090
21,760 cores(winner)
- Memory Bandwidth
NVIDIA RTX 5080
576 GB/s
NVIDIA RTX 5090
1,792 GB/s(winner)
- VRAM
NVIDIA RTX 5080
14 GB GDDR7
NVIDIA RTX 5090
32 GB GDDR7(winner)
- TDP
NVIDIA RTX 5080
320W(winner)
NVIDIA RTX 5090
575W
- Estimated MSRP
NVIDIA RTX 5080
$1,999(winner)
NVIDIA RTX 5090
$2,199
- Performance Per Dollar
NVIDIA RTX 5080
$0.142 per TFLOP(winner)
NVIDIA RTX 5090
$0.103 per TFLOP
- Max Memory Throughput (AI Workloads)
NVIDIA RTX 5080
8.1 TB/s effective
NVIDIA RTX 5090
25.2 TB/s effective(winner)
Full Comparison
| Attribute | NVIDIA RTX 5080 | NVIDIA RTX 5090 |
|---|---|---|
| CUDA Cores(cores) | 14,080 | 21,760(winner) |
| Memory Interface(bit) | 320-bit | — |
| Boost Clock(GHz) | 2.55 GHz | — |
| Memory Bandwidth(GB/s) | 576 | 1,792(winner) |
| VRAM Capacity(GB) | 16 GB GDDR7 | — |
| Memory Configuration | 16GB GDDR7 | — |
| VRAM(GB) | 14GB GDDR7 | 32GB GDDR7(winner) |
| Memory Configuration | 14GB GDDR7 with 448-bit interface | 32GB GDDR7 with 576-bit interface |
| FP32 Performance(TFLOPS) | 54.9 TFLOPS | — |
| Power Consumption(W) | 575W TDP | — |
| TDP (Power Consumption)(W) | 575W | — |
| TDP (Power Consumption)(W) | 320 | — |
| Launch Price (MSRP)(USD) | $999 | — |
| MSRP Launch Price(USD) | 1,999 | — |
| Estimated MSRP(USD) | $1,999(winner) | $2,199 |
| Boost Clock Speed(MHz) | 2,655 MHz | — |
| 4K Gaming Performance (avg FPS)(FPS) | 165 FPS (ultra settings) | — |
| FP32 Tensor Performance(TFLOPS) | 1,457 TFLOPS | — |
| Peak FP32 Performance(TFLOPS) | 1,457 | 2,280(winner) |
| Memory Bandwidth(GB/s) | 576 | — |
| Expected 4K Gaming Performance(%) | +35-40% vs 4080S | — |
| Recommended Retail Price (USD)(USD) | $2,199 | — |
| DLSS Frame Generation | DLSS 4 (native frame gen) | — |
| Ray Tracing (RT) Performance(TFLOPS) | 364 | 570(winner) |
| Memory Capacity(GB) | 16 | 32(winner) |
| CUDA Cores(cores) | 10,240 | — |
| Manufacturing Process(nm) | 5 | — |
| Power Consumption (TDP)(W) | 320W(winner) | 575W |
| 1440p Gaming (avg. fps in modern AAA)(fps) | 165 | 240(winner) |
| Launch MSRP(USD) | $1,999 | $1,999 |
| Architecture Generation | Blackwell (2025) | — |
| Estimated 4K Gaming Performance(fps) | 60-90 fps (max settings) | 120+ fps (max settings)(winner) |
| AI Inference Throughput (Large Models)(TFLOPS) | ~141 TFLOPS (FP32) | ~219 TFLOPS (FP32)(winner) |
Pros & Cons
10 pros·4 cons across both
NVIDIA RTX 5080
Pros
- 320W TDP with efficient power delivery and lower heat output
- 14GB GDDR7 memory sufficient for most gaming and content creation tasks
- $200 lower price point ($1,999 vs $2,199)
- Better power-to-performance ratio for mainstream use cases
- Excellent 1440p and stable 4K 60fps gaming at high settings
Cons
- 36% fewer CUDA cores limits performance in AI workloads and compute tasks
- Significantly reduced memory bandwidth (576 GB/s vs 1,792 GB/s) impacts large dataset processing
NVIDIA RTX 5090
Pros
- 21,760 CUDA cores enable 36% higher raw compute performance than RTX 5080
- 32GB GDDR7 VRAM handles large AI models, 8K data processing, and complex workloads
- 1,792 GB/s memory bandwidth—3.1x higher than RTX 5080 for massive throughput
- Supports dual-GPU configurations for professional AI training with PCIe 5.0
- Stable 4K 120+ fps gaming with maximum settings and ray tracing
Cons
- 575W TDP requires robust PSU (1200W+ recommended) and generates significant heat
- $200 premium ($2,199 MSRP) with lower cost-efficiency per TFLOP than RTX 5080
Frequently Asked Questions
5 questions
The RTX 5090 is the clear choice. Testing shows it achieves 120+ fps at 4K with maximum ray tracing settings, while the RTX 5080 averages 60-90 fps at the same settings. For competitive 144fps gaming at 4K, only the RTX 5090 reaches this milestone in demanding titles like Cyberpunk 2077 and Avatar: Frontiers of Pandora.
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