Ollama on the NVIDIA RTX 5090
On the NVIDIA RTX 5090, Ollama runs Gemma 4 31B at 4-bit at a median 64.0 tokens per second for generation, from 1 plain run (32K context).
Speed by model on the NVIDIA RTX 5090
Plain runs only: one device, one request, no speculative decoding, the whole model in memory. Each row is one model size at one bit class, with the other engines' plain runs of the same model on this card beside it. Context length and build still differ between runs, and each side shows its own.
| Model | Ollama | Other engines |
|---|---|---|
| Gemma 4 31B 4-bit | 64.0 t/sone report, 32K context | no other engine reported |
3 Ollama reports on the NVIDIA RTX 5090
Newest first. A run on several cards, with speculative decoding, with part of the model in system RAM or with batched requests says so, since each describes a different setup.
- Gemma 4 31B · Q4_K_M64.0 t/s
- Qwen3.8 27B15.0 t/s
- Qwen3.8 27B · Q4_K_M171.0 t/s
Frequently asked
How fast is Ollama on the NVIDIA RTX 5090?
On the NVIDIA RTX 5090, Ollama runs Gemma 4 31B at 4-bit at a median 64.0 tokens per second for generation, from 1 plain run (32K context).