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Can the NVIDIA RTX 4080 Super run Gemma 2 9B?

RTX 4080 Super × Gemma 2 9B8K context
YesRuns fully on the GPU
Memory at Q8_012.5 GB of 16 GB
Weights 9.8 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~45tokens per second
Max context8Kthe model's full window
  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 4080 Super can run Gemma 2 9B fully in VRAM at Q8_0 (near-lossless), using about 12.5 GB of the 16 GB available, at roughly 45 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 2 9B:

ollama run gemma2:9b

Ollama's default download is Q4_K_M (about 8.3 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 4080 Super

Run it in the cloud

No NVIDIA RTX 4080 Super? Run Gemma 2 9B 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 16 GB the NVIDIA RTX 4080 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality21.2 GBToo big—
Q8_0Near-lossless12.5 GBFits~45 tok/s
Q6_KExcellent10.3 GBFits~58 tok/s
Q5_K_MVery good9.3 GBFits~67 tok/s
Q4_K_MGood, most popular8.3 GBFits~79 tok/s
Q3_K_MNoticeably degraded7.2 GBFits~98 tok/s
Q2_KHeavily degraded6.2 GBFits~127 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 2 9B 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 2 9B 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 -- gemma2:9b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma2:9b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 2 9B comfortably

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run Gemma 2 9B?

Yes. The NVIDIA RTX 4080 Super can run Gemma 2 9B fully in VRAM at Q8_0 (near-lossless), using about 12.5 GB of the 16 GB available, at roughly 45 tokens/second.

How much VRAM does Gemma 2 9B need?

About 8.3 GB at Q4_K_M with 8,192 tokens of context, and about 21.2 GB at full FP16 precision.

How fast is Gemma 2 9B on the NVIDIA RTX 4080 Super?

Roughly 45 tokens per second at Q8_0, estimated from the NVIDIA RTX 4080 Super's 736 GB/s memory bandwidth.