GeForce RTX 3080 10GB vs GeForce RTX 3090 for Local AI
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Which GPU is better for local AI workloads?
The 3080's 10GB handles 8B models and SD 1.5 but strains on SDXL; the 3090 runs 32B LLMs at Q4 comfortably. The 3080's 760 GB/s bandwidth is respectable, but capacity rules inference. Used 3090 pricing reflects its AI demand.
Spec comparison: what actually differs
The table below is computed live from our hardware database. Positive deltas favor the GeForce RTX 3080 10GB.
| Specification | GeForce RTX 3080 10GB | GeForce RTX 3090 | Difference |
|---|---|---|---|
| VRAM | 10 | 24 | -58% |
| Memory bandwidth | 760 | 936 | -19% |
| Memory type | GDDR6X | GDDR6X | — |
| Memory bus | 320 | 384 | — |
| TDP | 320 | 350 | -9% |
| CUDA cores | 8704 | 10496 | -17% |
| Architecture | Ampere | Ampere | — |
| Launch MSRP | $699 | $1,499 | -53% |
| Street price | $699 | $1,499 | -53% |
What about price?
Which one should you buy for LLMs and image generation?
GeForce RTX 3080 10GB
Buy a cheap used 3080 for 8B/SD1.5 budgets.
Full specs & benchmarks →GeForce RTX 3090
Buy the used 3090 — the budget 24GB standard.
Full specs & benchmarks →Is it faster for LLM inference?
8B class both; 14B/32B only on 3090.
How does it handle image generation?
SDXL marginal on 10GB; comfortable on 24GB.
Which AI models fit on each card?
Computed from our model VRAM database at Q4 quantization: GeForce RTX 3080 10GB has 10 GB, GeForce RTX 3090 has 24 GB.
Fit only on the GeForce RTX 3090 (24 GB)
Fit on both cards
Frequently asked questions
3080 vs 3090 for LLMs?
3090: 24GB holds 32B at Q4 while the 3080's 10GB stops near 8B. The 3080 suits budget image generation with SD 1.5.