Can an RTX 5090 run Gemma-2-9b-it?
llm-speed has not measured Gemma-2-9b-it on RTX 5090 itself yet, so there is no llm-speed verdict. 1 community-submitted run exists (fastest 152.7 tok/s at an unreported quant on llama.cpp); community-submitted, not measured by llm-speed, so it gives no verdict.
1 signed run on llm-speed. Single-request decode speed in tokens per second; the short-chat workload unless noted. This run is community-submitted (signed on the submitter's own machine, not measured by llm-speed, and not used for llm-speed verdicts). Verdicts and headline numbers use only llm-speed's own runs and fit tests.
Measured tok/s by quant and runtime
| Quant | Runtime | Build | Decode tok/s (best run) | Workload | Runs | Source |
|---|---|---|---|---|---|---|
| not reported | llama.cpp | not reported | 152.7 | chat-short | 1 | Community-submitted |
llm-speed has not measured this pair itself, so there is no llm-speed verdict or fastest quant. The rows above are community-submitted, not measured by llm-speed.
VRAM: not recorded for these runs. The VRAM calculator gives an estimate (predicted, not measured).
Every measured row
| Run | Date (UTC) | Workload | Quant | Runtime / build | Prompt tokens | Output tokens | Decode tok/s | Prefill tok/s | TTFT ms | VRAM GiB | Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
| r__b_bzmmab_8 | 2026-07-01 | chat-short | – | llama.cpp · not reported | 0 | 256 | 152.7 | – | 59 | – | Community-submitted |
Questions
Can an RTX 5090 run Gemma-2-9b-it?
llm-speed has not measured Gemma-2-9b-it on RTX 5090 itself yet, so there is no llm-speed verdict. 1 community-submitted run exists (fastest 152.7 tok/s at an unreported quant on llama.cpp); community-submitted, not measured by llm-speed, so it gives no verdict.
What did community runs measure for Gemma-2-9b-it on an RTX 5090?
1 community-submitted run (community-submitted, not measured by llm-speed): not reported on llama.cpp: 152.7 tok/s. They are listed for reference and give no llm-speed verdict.