Hardware › NVIDIA RTX 3090 24GB

NVIDIA RTX 3090 24GB for local AI: price in Australia & what it can run

price unavailableno AU retailer price found
24 GBVRAM (23.5 GB usable)
936 GB/smemory bandwidth
158 tok/smeasured, Llama 2 7B Q4_0

Discontinued; new stock is rare in AU. Used-market pricing not tracked yet.

Benchmark

158.16 tok/s on Llama 2 7B Q4_0, tg128 (llama.cpp llama-bench), CUDA backend. Source: ggml-org/llama.cpp/discussions/15013 scoreboard (checked 2026-10-19).

Specs: NVIDIA published specification (manually entered)

AU prices found

Price unavailable: no matching listing at the retailers we can check.

Community measured

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Which models fit? (8k context)

ModelQuantNeeds / usableFitEst. tok/s
Q4_K_M
464.4 / 23.5 GB
no
–
Q4_K_M
499.4 / 23.5 GB
no
–
Q4_K_M
20.0 / 23.5 GB
fits
330 estimate
Q4_K_M
348.5 / 23.5 GB
no
–
Q4_K_M
15.7 / 23.5 GB
fits
495 estimate
Q4_K_M
45.9 / 23.5 GB
no
–
Q4_K_M
22.5 / 23.5 GB
tight
330 estimate
Q4_K_M
305.3 / 23.5 GB
no
–
Q4_K_M
2.0 / 23.5 GB
fits
638 estimate
Q4_K_M
464.4 / 23.5 GB
no
–
Q4_K_M
195.9 / 23.5 GB
no
–
Q4_K_M
458.4 / 23.5 GB
no
–
Q4_K_M
110.3 / 23.5 GB
no
–
Q4_K_M
18.4 / 23.5 GB
fits
36 estimate
Q4_K_M
20.2 / 23.5 GB
fits
330 estimate
Q4_K_M
9.1 / 23.5 GB
fits
83 estimate
Q4_K_M
23.0 / 23.5 GB
tight
330 estimate
Q4_K_M
81.4 / 23.5 GB
no
–
Q4_K_M
22.1 / 23.5 GB
tight
32 estimate
Q4_K_M
17.2 / 23.5 GB
fits
260 estimate
Q4_K_M
6.0 / 23.5 GB
fits
124 estimate
Q4_K_M
7.1 / 23.5 GB
fits
102 estimate
Q4_K_M
4.1 / 23.5 GB
fits
212 estimate
Q4_K_M
77.0 / 23.5 GB
no
–
Q4_K_M
20.4 / 23.5 GB
fits
330 estimate
MXFP4
12.4 / 23.5 GB
fits
314 estimate
MXFP4
63.5 / 23.5 GB
no
–
Qwen 3 4B older
Q4_K_M
4.6 / 23.5 GB
fits
246 estimate
Qwen 3 8B older
Q4_K_M
7.2 / 23.5 GB
fits
121 estimate
Q4_K_M
23.0 / 23.5 GB
tight
30 estimate
Q4_K_M
6.9 / 23.5 GB
fits
123 estimate
Q4_K_M
6.5 / 23.5 GB
fits
136 estimate

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