GeForce RTX 3090
NVIDIA · Consumer GPU · 2020
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Price checked Jul 23, 2026
Performance Benchmarks
Image Generation all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
| SDXL Turbo FP16 | images per minute |
45
img/min
ComfyUI · 2025-06-01
|
Independent benchmark Puget Systems Hardware Testing ↗ |
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
Llama-3.1-8B
Q4_K_M Token generation: single user, batch 1, 4k context, mean of 3 runs |
tokens per second |
85
tok/s
llama.cpp b3500 (CUDA) · 2026-05-22
|
Unverified community MyAIHardware llama.cpp Benchmarks ↗ |
|
Llama-3.1-8B
Q4_K_M Prompt processing: 512-token prompt, batch 1, mean of 3 runs |
prompt tokens per second |
2,400
tok/s
llama.cpp b3500 (CUDA) · 2026-05-22
|
Unverified community MyAIHardware llama.cpp Benchmarks ↗ |
|
Qwen3-8B
Q4_K_XL Token generation: 16K context, batch 1, Ubuntu 24.04, on-hardware lab measurement |
tokens per second |
87.5
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 3090 run local LLMs?
Yes, if the model fits in its 24 GB of memory — VRAM capacity decides which models load at all, while its 936 GB/s of bandwidth decides how fast tokens generate. With 24 GB or more it can hold large quantized models such as 70B-class LLMs in reduced precision, and our model pages list exact VRAM fits per model.
How much VRAM does the GeForce RTX 3090 have?
GeForce RTX 3090 has 24 GB of video memory with 936 GB/s of memory bandwidth and a 350 W TDP , per the specification values in our hardware database.
Is the GeForce RTX 3090 worth it for AI workloads?
At a $1,499 MSRP, its value depends on whether your models fit in 24 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.
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