GPU HEAD-TO-HEAD

NVIDIA RTX 5080 vs NVIDIA RTX 2080 Ti

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5080 (16 GB) compares against the NVIDIA RTX 2080 Ti (11 GB) in real memory headroom, supported model architectures, and generation speed.

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 →
NVIDIA · Turing 11 GB VRAM

NVIDIA RTX 2080 Ti

  • Memory Bandwidth: 616 GB/s (GDDR6 352-bit)
  • Fits fully in VRAM: 30 popular models
  • Power Draw (TDP): 250W
  • Largest recommended (Q4): 8B
View all NVIDIA RTX 2080 Ti models →

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

The NVIDIA RTX 5080 is the clear winner for local AI. It provides both 5 GB more VRAM and higher memory bandwidth (960 GB/s vs 616 GB/s).

This allows it to run larger model architectures entirely in video memory while also delivering faster token generation speeds on models of all sizes.

Models that fit on NVIDIA RTX 5080, but NOT on NVIDIA RTX 2080 Ti

These models run entirely in GPU VRAM on the NVIDIA RTX 5080, but require slow system RAM offload on the NVIDIA RTX 2080 Ti:

Model Size Downloads NVIDIA RTX 5080 NVIDIA RTX 2080 Ti
unsloth/gpt-oss-20b-GGUF 20.91B 501,909 Fits in VRAM Offload (Slow)
unsloth/Qwen-AgentWorld-35B-A3B-GGUF 34.66B 373,970 Fits in VRAM Offload (Slow)
MaziyarPanahi/Qwen3-30B-A3B-GGUF 30.53B 260,445 Fits in VRAM Offload (Slow)
MaziyarPanahi/Qwen3-32B-GGUF 32.76B 259,844 Fits in VRAM Offload (Slow)

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