GPU HEAD-TO-HEAD

NVIDIA RTX 5070 vs NVIDIA RTX 2080 Ti

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5070 (12 GB) compares against the NVIDIA RTX 2080 Ti (11 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Blackwell 12 GB VRAM

NVIDIA RTX 5070

  • Memory Bandwidth: 672 GB/s (GDDR7 192-bit)
  • Fits fully in VRAM: 33 popular models
  • Power Draw (TDP): 250W
  • Largest recommended (Q4): 14B
View all NVIDIA RTX 5070 models →
NVIDIA · Turing 11 GB VRAM

NVIDIA RTX 2080 Ti

  • Memory Bandwidth: 616 GB/s (GDDR6 352-bit)
  • Fits fully in VRAM: 31 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 5070 is the clear winner for local AI. It provides both 1 GB more VRAM and higher memory bandwidth (672 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 5070, but NOT on NVIDIA RTX 2080 Ti

These models run entirely in GPU VRAM on the NVIDIA RTX 5070, but require slow system RAM offload on the NVIDIA RTX 2080 Ti:

Model Size Downloads NVIDIA RTX 5070 NVIDIA RTX 2080 Ti
unsloth/gpt-oss-20b-GGUF 20.91B 615,143 Fits in VRAM Offload (Slow)
unsloth/flint-GGUF 39.79B 331,924 Fits in VRAM Offload (Slow)

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