GeForce RTX 4080
NVIDIA · Consumer GPU · 2022
We earn a commission from qualifying purchases · Prices may vary
Price checked Aug 15, 2026
Performance Benchmarks
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
Qwen3-8B
Q4_K_XL Token generation: 16K context, batch 1, Ubuntu 24.04, on-hardware lab measurement |
tokens per second |
77.9
tok/s
llama.cpp llama-bench, CUDA 12.8 · 2025-12-09
|
Unverified community Hardware Corner LLM GPU Rankings ↗ |
Full Specifications
Related GPUs
Common Questions
Can the GeForce RTX 4080 run local LLMs?
Yes, if the model fits in its 16 GB of memory — VRAM capacity decides which models load at all, while its 716.8 GB/s of bandwidth decides how fast tokens generate. 8B-class models at Q4 quantization fit comfortably; larger 70B-class models need a card with more VRAM.
How much VRAM does the GeForce RTX 4080 have?
GeForce RTX 4080 has 16 GB of video memory with 716.8 GB/s of memory bandwidth and a 320 W TDP , per the specification values in our hardware database.
Is the GeForce RTX 4080 worth it for AI workloads?
At a $1,199 MSRP, its value depends on whether your models fit in 16 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.
Guides & Tools
CompareAIHardware.com participates in the Amazon Associates program. As an Amazon Associate, we earn from qualifying purchases.