Run Qwen3.8 27B on a DGX Spark
Text and code, a 1M-token window, by Qwen. NVFP4 (RadixArk) with a DFlash2 drafter, on SGLang 0.5.22.
Qwen's 27B in NVFP4 (RadixArk's build), served by SGLang 0.5.22 with a DFlash2 drafter, with a window of a million tokens. On an ASUS Ascent GX10 with 128 GB: 65.2 to 68.5 tok/s, greedy median in two runs, one request (2026-11-05).
Measured
65.2 to 68.5tok/s
greedy median in two runs, one request (2026-11-05)
- 44.0 tok/s alone and 80.6 in all at 4 requests on 8,192-token prompts
- A window of a million tokens
- GSM8K 99.2% on 250 problems
- Measured on
- an ASUS Ascent GX10 with 128 GB, the project's reference box
- How
- ./bench.sh and SGLang's official benchmark, 2026-11-05 (v1.44.0)
- Source
- BENCHMARKS.md
Load it
From the cockpit: open the Lanes view, pick Qwen3.8 27B and press Load. From a terminal, in the repo folder on the box:
./switch-model.sh stock # switches the boot, then prints the commands to runswitch-model.sh never restarts an engine itself: it prints the exact stop and start commands. The cockpit's Load runs them for you.
Other checkpoints of the same lane load the same way: fp8, uncensored, uncensored-fp8.
On a 64 GB DGX Spark
Yes, without the 1M window: two requests at a time, 59,625 tokens of KV (one prompt of up to 54,855 tokens), 67.2 tok/s greedy median, measured at a 64 GB budget on the reference box. What runs on 64 GB
Use it from your tools
The box serves OpenAI- and Anthropic-compatible APIs on port 30001, with an API key. Claude Code, opencode, Open WebUI and the OpenAI and Anthropic SDKs point there instead of a cloud: see Claude Code with a local model and opencode with a local model.
Install it
One command, on stock DGX OS. The same command updates it later.
curl -fsSL https://get.alzeo.ai | bashQuestions about Qwen3.8 27B on a DGX Spark
Can a DGX Spark run Qwen3.8 27B?
Yes. Qwen's 27B in NVFP4 (RadixArk's build), served by SGLang 0.5.22 with a DFlash2 drafter, with a window of a million tokens. The installer of Alzeo sets it up, and the cockpit loads it with one button.
How fast is Qwen3.8 27B on a DGX Spark?
65.2 to 68.5 tok/s, greedy median in two runs, one request (2026-11-05), measured on an ASUS Ascent GX10 with 128 GB. 44.0 tok/s alone and 80.6 in all at 4 requests on 8,192-token prompts. A window of a million tokens. GSM8K 99.2% on 250 problems.
Does Qwen3.8 27B run on a 64 GB DGX Spark?
Yes, without the 1M window: two requests at a time, 59,625 tokens of KV (one prompt of up to 54,855 tokens), 67.2 tok/s greedy median, measured at a 64 GB budget on the reference box.
The other lanes
- QwenQwen3.8 Flash-Next47.9 tok/s, on code, with FLASH_TIER=context
- NVIDIAQwen3.8 Flash-Next FP4-Local55.4 tok/s, greedy median, at its default effort
- NVIDIANemotron 3.5 Bolt140 tok/s, rewriting code, one request, reasoning off
- NVIDIANemotron 3.5 Super VL69.5 tok/s, rewriting code, one request, reasoning off
- Ornith AIOrnith 1.5 122B42.4 tok/s, greedy median, one request
- Aleph AlphaKolibri-148.0 tok/s, one request
- QwenQwen-Image 2.17.5 s, with its Turbo, per 1024×1024 image
- MiniMaxMiniMax-H3126.2 to 127.9 s, with the Turbo adapter, for 4 s of 480P video