Can I run it?

Can I run Qwen3.8 35B A3B Distill on RTX 6000 Ada?

Runs

Runs fully on your RTX 6000 Ada at Q8_0, 8K context, about 157–214 tok/s. Weights 35.2 GB plus 0.19 GB of KV cache — 36.0 GB of 45.1 GB usable. Up to 256K context still fits.

Qwen3.8 35B A3B Distill details · RTX 6000 Ada page · How this estimate is made

Run commands

llama-server -hf empero-ai/Qwen3.8-35B-A3B-Distill-GGUF:Q8_0 -c 8192 -ngl 40

ollama run qwen3.8

lms get empero-ai/Qwen3.8-35B-A3B-Distill-GGUF
# Then load quant Q8_0

Assumptions

• Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
• KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
• Q8_0 size is the real GGUF file size from Hugging Face.
• 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
• Speed is quoted at 8K context, not at the maximum context that still fits.

Larger models that also fit

• Can I run Cyber Tiel Coder 35B A3B GGUF MTP on RTX 6000 Ada? — Runs, Q8_0, 157–215 tok/s
• Can I run Qwen3.5 122B A10B MTP on RTX 6000 Ada? — Tight fit, UD-Q2_K_XL, 145–198 tok/s
• Can I run Qwen3 Next 80B A3B Instruct on RTX 6000 Ada? — Tight fit, UD-Q4_K_XL, 247–337 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.