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Decision Summary
💾 Most VRAM: GeForce RTX 5090
⚡ Best Bandwidth: GeForce RTX 5090
💰 Lowest Price: Radeon RX 7900 XTX
🎯 Best Value: Radeon RX 7900 XTX
🔌 Lowest Power: Radeon RX 7900 XTX
Radeon RX 7900 XTX
Excellent for image generation
Handles Flux, SDXL, and large LoRA stacks with room to spare.
Memory fitFits 70B (Q4 with offloading), 34B (Q8), SDXL, Flux
SoftwareModerate — ROCm support improving; some frameworks may need workarounds
Build req.650W+ PSU, 2-3 slots
Value$41.63/GB
✓ Buy if• Anyone running 34B+ models or doing serious image generation
✕ Avoid if• Users who need CUDA-only frameworks without workarounds
↔ Alternatives
More capable: GeForce RTX 5090
GeForce RTX 5090
Excellent for image generation
Handles Flux, SDXL, and large LoRA stacks with room to spare.
Memory fitFits 70B (Q4 with offloading), 34B (Q8), SDXL, Flux
SoftwareEasy — CUDA ecosystem, everything works out of the box
Build req.850W+ PSU, 3+ slots, high airflow case
Value$62.47/GB
✓ Buy if• Anyone running 34B+ models or doing serious image generation
• Users wanting maximum software compatibility (CUDA, PyTorch, vLLM, ComfyUI)
• Users wanting maximum software compatibility (CUDA, PyTorch, vLLM, ComfyUI)
✕ Avoid if• Users with PSU or thermal constraints (needs 575W TDP)
↔ Alternatives
Cheaper: Radeon RX 7900 XTX
Full Specifications
⚡
AI Performance
2 specs
| Specification | Radeon RX 7900 XTX | GeForce RTX 5090 |
|---|---|---|
| Cuda Cores | — | 21760 |
| Stream Processors | 6144 | — |
💾
Memory & Model Capacity
4 specs
| Specification | Radeon RX 7900 XTX | GeForce RTX 5090 |
|---|---|---|
| Vram Gb | 24 | 32 ✓ |
| Vram Type | GDDR6 | GDDR7 |
| Memory Bus | 384 | 512 ✓ |
| Memory Bandwidth Gbps | 960 | 1792 ✓ |
🔌
Power, Cooling & Physical
2 specs
| Specification | Radeon RX 7900 XTX | GeForce RTX 5090 |
|---|---|---|
| Tdp Watts | 355 | 575 ✓ |
| Pcie Interface | PCIe 4.0 x16 | PCIe 5.0 x16 |
📋
General Specifications
1 specs
| Specification | Radeon RX 7900 XTX | GeForce RTX 5090 |
|---|---|---|
| Architecture | RDNA 3 | Blackwell |
AI Inference Benchmarks
Tokens per second (higher is better). Benchmark configurations may vary — see methodology.
Sources: www.myaihardware.com, www.tomshardware.com, www.hardware-corner.net
| Model | Radeon RX 7900 XTX | GeForce RTX 5090 |
|---|---|---|
| Llama-3.1-8B | 76 t/s | 215 t/s |
| SDXL Turbo | — | — |
| FLUX.1-dev | — | — |
| Llama-2-13B | — | — |
| Llama-3-70B EST | — | 42 t/s |
| Llama-3-8B | — | — |
| Mistral-7B | — | — |
| Phi-3.5-mini | — | — |
| Qwen3-8B | — | 145.3 t/s |
| Stable Diffusion 1.5 | — | — |
| Stable Diffusion 1.5 INT8 | — | — |
| Stable Diffusion XL | — | — |
📋 Methodology & Data Quality
Last reviewed: Aug 30, 2026
Scoring version: 1.0.0
Data sources: Manufacturer specifications, community benchmarks (llama.cpp, Ollama, vLLM), MLPerf, Tom's Hardware, Reddit r/LocalLLaMA.
Estimates: Clearly labeled as Estimated or Calculated where used. No fabricated benchmarks.
Limitations: Benchmark configurations vary by source. Normalization is documented in our methodology page.