GPU HEAD-TO-HEAD

NVIDIA RTX 2080 Super vs NVIDIA RTX 3070 Ti

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 2080 Super (8 GB) compares against the NVIDIA RTX 3070 Ti (8 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Turing 8 GB VRAM

NVIDIA RTX 2080 Super

  • Memory Bandwidth: 496 GB/s (GDDR6 256-bit)
  • Fits fully in VRAM: 25 popular models
  • Power Draw (TDP): 250W
  • Largest recommended (Q4): 8B
View all NVIDIA RTX 2080 Super models →
NVIDIA · Ampere 8 GB VRAM

NVIDIA RTX 3070 Ti

  • Memory Bandwidth: 608 GB/s (GDDR6X 256-bit)
  • Fits fully in VRAM: 25 popular models
  • Power Draw (TDP): 290W
  • Largest recommended (Q4): 8B
View all NVIDIA RTX 3070 Ti models →

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

Both graphics cards share the exact same VRAM capacity (8 GB), meaning they can run the exact same parameter counts and quantization levels.

The deciding factor is memory bandwidth: The NVIDIA RTX 3070 Ti leads with 608 GB/s vs 496 GB/s (23.0% faster memory), resulting in noticeably faster inference.

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