GPU HEAD-TO-HEAD

AMD Radeon RX 7900 XT vs NVIDIA RTX 5080

Which graphics card is better for running local language models? Here is how the AMD Radeon RX 7900 XT (20 GB) compares against the NVIDIA RTX 5080 (16 GB) in real memory headroom, supported model architectures, and generation speed.

AMD · RDNA 3 20 GB VRAM

AMD Radeon RX 7900 XT

  • Memory Bandwidth: 800 GB/s (GDDR6 320-bit)
  • Fits fully in VRAM: 36 popular models
  • Power Draw (TDP): 315W
  • Largest recommended (Q4): 20B–22B
View all AMD Radeon RX 7900 XT models →
NVIDIA · Blackwell 16 GB VRAM

NVIDIA RTX 5080

  • Memory Bandwidth: 960 GB/s (GDDR7 256-bit)
  • Fits fully in VRAM: 34 popular models
  • Power Draw (TDP): 400W
  • Largest recommended (Q4): 20B–22B
View all NVIDIA RTX 5080 models →

The AI Local Check Verdict: Which GPU should you buy for AI?

The Classic Headroom vs Speed Trade-off: The AMD Radeon RX 7900 XT has 4 GB more VRAM, allowing it to fit larger models that cannot run locally on the NVIDIA RTX 5080.

However, the NVIDIA RTX 5080 has a higher memory bandwidth (960 GB/s vs 800 GB/s). For models that comfortably fit in 16 GB VRAM, the NVIDIA RTX 5080 will generate tokens roughly 20.0% faster. Choose the AMD Radeon RX 7900 XT if you prioritize model size flexibility, or the NVIDIA RTX 5080 if you prioritize token generation speed on models up to 16 GB.

Models that fit on AMD Radeon RX 7900 XT, but NOT on NVIDIA RTX 5080

These models run entirely in GPU VRAM on the AMD Radeon RX 7900 XT, but require slow system RAM offload on the NVIDIA RTX 5080:

Model Size Downloads AMD Radeon RX 7900 XT NVIDIA RTX 5080
ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF 31.58B 249,888 Fits in VRAM Offload (Slow)
unsloth/Qwen3-Coder-Next-GGUF 79.67B 169,899 Fits in VRAM Offload (Slow)

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