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Can the NVIDIA RTX 3090 Ti run Gemma 2 9B?

RTX 3090 Ti × Gemma 2 9B8K context
YesRuns fully on the GPU
Memory at FP1621.2 GB of 24 GB
Weights 18.5 GBKV cache 2.1 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~33tokens 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 3090 Ti can run Gemma 2 9B fully in VRAM at FP16 (full quality), using about 21.2 GB of the 24 GB available, at roughly 33 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 FP16, which is full quality: 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 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 24 GB the NVIDIA RTX 3090 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality21.2 GBFits~33 tok/s
Q8_0Near-lossless12.5 GBFits~62 tok/s
Q6_KExcellent10.3 GBFits~80 tok/s
Q5_K_MVery good9.3 GBFits~92 tok/s
Q4_K_MGood, most popular8.3 GBFits~108 tok/s
Q3_K_MNoticeably degraded7.2 GBFits~134 tok/s
Q2_KHeavily degraded6.2 GBFits~175 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 Gemma 2 9B 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 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 3090 Ti

Frequently asked questions

Can NVIDIA RTX 3090 Ti run Gemma 2 9B?

Yes. The NVIDIA RTX 3090 Ti can run Gemma 2 9B fully in VRAM at FP16 (full quality), using about 21.2 GB of the 24 GB available, at roughly 33 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 3090 Ti?

Roughly 33 tokens per second at FP16, estimated from the NVIDIA RTX 3090 Ti's 1008 GB/s memory bandwidth.