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Can the NVIDIA RTX 4080 Super run Gemma 3 27B?

RTX 4080 Super × Gemma 3 27B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M15.1 GB of 16 GB
Weights 13.4 GBKV cache 1.1 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Speed~33tokens per second
Max context17Ktokens that fit at Q3_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

Only just. Gemma 3 27B fits on the NVIDIA RTX 4080 Super at Q3_K_M, which costs noticeable quality. Expect about 33 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default gemma3:27b download is Q4_K_M, which needs about 18.3 GB, more than the 16 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4080 Super

Run it in the cloud

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4080 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality56.5 GBToo big—
Q8_0Near-lossless30.8 GBToo big—
Q6_KExcellent24.2 GBToo big—
Q5_K_MVery good21.2 GBToo big—
Q4_K_MGood, most popular18.3 GBToo big—
Q3_K_MNoticeably degraded15.1 GBFits~33 tok/s
Q2_KHeavily degraded12 GBFits~43 tok/s

Measured speed from real RTX 4080 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4080 Super, next to our estimate.

No one has measured Gemma 3 27B on the NVIDIA RTX 4080 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080 Super? Add your real speed

One command times Gemma 3 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 -- gemma3:27b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma3:27b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 3 27B comfortably

Check Radeon RX 7900 XT prices

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run Gemma 3 27B?

Only just. Gemma 3 27B fits on the NVIDIA RTX 4080 Super at Q3_K_M, which costs noticeable quality. Expect about 33 tokens/second. A card with more memory is a better experience.

How much VRAM does Gemma 3 27B need?

About 18.3 GB at Q4_K_M with 8,192 tokens of context, and about 56.5 GB at full FP16 precision.

How fast is Gemma 3 27B on the NVIDIA RTX 4080 Super?

Roughly 33 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.