Rent a GPU

Can the NVIDIA RTX 3090 Ti run Qwen3 30B-A3B?

RTX 3090 Ti × Qwen3 30B-A3B8K context
YesRuns fully on the GPU
Memory at Q5_K_M23.1 GB of 24 GB
Weights 21.7 GBKV cache 0.8 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~258tokens per second
Max context16Ktokens that fit at Q5_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 3090 Ti can run Qwen3 30B-A3B fully in VRAM at Q5_K_M (very good), using about 23.1 GB of the 24 GB available, at roughly 258 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 30B-A3B:

ollama run qwen3:30b

Ollama's default download is Q4_K_M (about 19.9 GB here). You have room for Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 3090 Ti

Run it in the cloud

No NVIDIA RTX 3090 Ti? Run Qwen3 30B-A3B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24 GB the NVIDIA RTX 3090 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality62.4 GBToo big—
Q8_0Near-lossless33.8 GBToo big—
Q6_KExcellent26.4 GBToo big—
Q5_K_MVery good23.1 GBFits~258 tok/s
Q4_K_MGood, most popular19.9 GBFits~302 tok/s
Q3_K_MNoticeably degraded16.3 GBFits~375 tok/s
Q2_KHeavily degraded12.8 GBFits~489 tok/s

Measured speed from real RTX 3090 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 3090 Ti, next to our estimate.

No one has measured Qwen3 30B-A3B on the NVIDIA RTX 3090 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 3090 Ti? Add your real speed

One command times Qwen3 30B-A3B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwen3:30b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3:30b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3 30B-A3B comfortably

Models that run well on the NVIDIA RTX 3090 Ti

Frequently asked questions

Can NVIDIA RTX 3090 Ti run Qwen3 30B-A3B?

Yes. The NVIDIA RTX 3090 Ti can run Qwen3 30B-A3B fully in VRAM at Q5_K_M (very good), using about 23.1 GB of the 24 GB available, at roughly 258 tokens/second.

How much VRAM does Qwen3 30B-A3B need?

About 19.9 GB at Q4_K_M with 8,192 tokens of context, and about 62.4 GB at full FP16 precision.

How fast is Qwen3 30B-A3B on the NVIDIA RTX 3090 Ti?

Roughly 258 tokens per second at Q5_K_M, estimated from the NVIDIA RTX 3090 Ti's 1008 GB/s memory bandwidth.