Sunk Cost sunkcost.ai Data checked 2026-09-03

Can a NVIDIA GeForce RTX 3090, 24GB run local LLMs?

Yes — 24 of the 39 open models on this site fit in its 23 GB of usable memory, the strongest being Qwen3.8 27B. Whether that saves you money is a different question, and the answer is usually no.

Price$1,499 at launch — discontinued
Memory24 GB, about 23 GB of it addressable by the GPU at 936 GB/s
Best model it runsQwen3.8 27B — Sonnet-class, 38 tok/s
Pay-back against the APIPays back in 19 years at 500k tokens a day

Run the numbers on this machine

What it runs

ModelSpeedClassGood atMemory
Qwen3.8 27BQ4_K_M 38 tok/s Sonnet-class 19 GB
Qwen3.6 27BQ4_K_M 37 tok/s Haiku-class 19 GB
Qwen3.6 35B-A3BQ4_K_M 141 tok/s Haiku-class 23 GB
Muse Glimmer 30BQ4_K_M 39 tok/s Haiku-class 18 GB
Gemma 4 26B-A4BQ4_K_M 104 tok/s Haiku-class 18 GB
GLM-4.7-FlashQ4_K_M 101 tok/s Haiku-class 20 GB
Gemma 4 12BQ4_K_M 88 tok/s Below every hosted tier 8.0 GB
Qwen3.5 9BQ4_K_M 104 tok/s Below every hosted tier 6.8 GB
MiniCPM5 2BQ4_K_M 236 tok/s Below every hosted tier 3.0 GB
Qwen3.5 4BQ4_K_M 184 tok/s Below every hosted tier 3.8 GB
Ling 3.0 tinyQ4_K_M 148 tok/s Below every hosted tier 6.4 GB
Granite 4.2 8BQ4_K_M 65 tok/s Below every hosted tier 11 GB

12 more fit; the calculator lists them all.

The specifics

Chip
GeForce RTX 3090 — Ampere · 24 GB GDDR6X
Memory bandwidth
936 GB/s
Usable by the GPU
23 GB — Bandwidth: 19.5 Gbps × 384-bit bus ÷ 8 = 936 GB/s (19.5 Gbps from TechPowerUp, 384-bit from NVIDIA). Usable memory is the VRAM less 1 GB: the margin llama.cpp's automatic fitting (--fit) leaves free on each device by default (common/common.h, fit_params_target = 1 GiB). Treated as nominal GB, like the other machines here.
Power under load
350 W (published) — 350 W is the maker's rated board power for the card alone. The rest of the PC adds more, and LLM decoding usually draws less than the full rating. NVIDIA recommends a 750 W system power supply.
Availability
Launch price. Two generations old and usually bought used for far less: enter what you paid.
Sources
source 1, source 2, source 3, source 4