Can the NVIDIA RTX 5090 run Gemma 3 27B?

RTX 5090 × Gemma 3 27B8K context
YesRuns fully on the GPU
Memory at Q6_K27.2 GB of 32 GB
Weights 22.5 GBKV cache 4.2 GBRuntime 0.6 GB
QuantQ6_KExcellent
Memory27.2 GBof 32 GB usable
Speed~48tokens per second
  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 Gemma 3 27B fully in VRAM at Q6_K (excellent), using about 27.2 GB of the 32 GB available, at roughly 48 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 3 27B:

ollama run gemma3:27b

Ollama's default download is Q4_K_M (about 21.4 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 5090? Run Gemma 3 27B in the cloud.

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

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 quality59.6 GBToo big—
Q8_0Near-lossless33.9 GBToo big—
Q6_KExcellent27.2 GBFits~48 tok/s
Q5_K_MVery good24.2 GBFits~55 tok/s
Q4_K_MGood, most popular21.4 GBFits~65 tok/s
Q3_K_MNoticeably degraded18.2 GBFits~80 tok/s
Q2_KHeavily degraded15 GBFits~105 tok/s

Frequently asked questions

Can NVIDIA RTX 5090 run Gemma 3 27B?

Yes. The NVIDIA RTX 5090 can run Gemma 3 27B fully in VRAM at Q6_K (excellent), using about 27.2 GB of the 32 GB available, at roughly 48 tokens/second.

How much VRAM does Gemma 3 27B need?

About 21.4 GB at Q4_K_M with 8,192 tokens of context, and about 59.6 GB at full FP16 precision.

How fast is Gemma 3 27B on the NVIDIA RTX 5090?

Roughly 48 tokens per second at Q6_K, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.