SGLang on the NVIDIA RTX 4090
On the NVIDIA RTX 4090, SGLang runs Qwen3.8 27B at 2-bit at a median 67.0 tokens per second for generation, from 1 plain run (64K context).
Speed by model on the NVIDIA RTX 4090
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 | SGLang | Other engines |
|---|---|---|
| Qwen3.8 27B 2-bit | 67.0 t/sone report, 64K context | no other engine reported |
3 SGLang reports on the NVIDIA RTX 4090
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.
- Qwen3.6 35B · 3B active · AWQ 4-bit180.0 t/s(2 cards)
- Qwen3.8 27B · escha 2-bit67.0 t/s
- Qwen3.8 27B · EXL3 3bpw135.4 t/s
Frequently asked
How fast is SGLang on the NVIDIA RTX 4090?
On the NVIDIA RTX 4090, SGLang runs Qwen3.8 27B at 2-bit at a median 67.0 tokens per second for generation, from 1 plain run (64K context).