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Can the NVIDIA RTX 5090 run Qwen3.8 27B?

RTX 5090 × Qwen3.8 27B8K context
YesRuns fully on the GPU
Memory at Q8_030.7 GB of 32 GB
Weights 29.5 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~36tokens per second
Max context26Ktokens that fit at Q8_0
  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 5090 can run Qwen3.8 27B fully in VRAM at Q8_0 (near-lossless), using about 30.7 GB of the 32 GB available, at roughly 36 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3.8 27B:

ollama run qwen3.8:27b

Ollama's default download is Q4_K_M (about 18 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 5090

Run it in the cloud

No NVIDIA RTX 5090? Run Qwen3.8 27B 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 32 GB the NVIDIA RTX 5090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality56.7 GBToo big—
Q8_0Near-lossless30.7 GBFits~36 tok/s
Q6_KExcellent23.9 GBFits~47 tok/s
Q5_K_MVery good20.9 GBFits~54 tok/s
Q4_K_MGood, most popular18 GBFits~64 tok/s
Q3_K_MNoticeably degraded14.7 GBFits~79 tok/s
Q2_KHeavily degraded11.6 GBFits~103 tok/s

Measured speed from real RTX 5090 owners

Tokens per second that people measured on their own NVIDIA RTX 5090, next to our estimate.

No one has measured Qwen3.8 27B on the NVIDIA RTX 5090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5090? Add your real speed

One command times Qwen3.8 27B 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 -- qwen3.8:27b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3.8:27b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen3.8 27B comfortably

Models that run well on the NVIDIA RTX 5090

Frequently asked questions

Can NVIDIA RTX 5090 run Qwen3.8 27B?

Yes. The NVIDIA RTX 5090 can run Qwen3.8 27B fully in VRAM at Q8_0 (near-lossless), using about 30.7 GB of the 32 GB available, at roughly 36 tokens/second.

How much VRAM does Qwen3.8 27B need?

About 18 GB at Q4_K_M with 8,192 tokens of context, and about 56.7 GB at full FP16 precision.

How fast is Qwen3.8 27B on the NVIDIA RTX 5090?

Roughly 36 tokens per second at Q8_0, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.