Can I run it?
Can I run Qwen3 Coder 30B A3B Instruct on NVIDIA H100 SXM 80GB?
Runs
Runs fully on your NVIDIA H100 SXM 80GB at BF16, 8K context, about 271–369 tok/s. Weights 56.9 GB plus 0.75 GB of KV cache — 58.5 GB of 76.0 GB usable. Up to 128K context still fits.
Best quantBF16
Working context8K
Max that fits128K
Speed271–369 tok/s
Weights56.9 GB
KV cache0.75 GB
Total58.5 GB
Usable76.0 GB
Qwen3 Coder 30B A3B Instruct details · NVIDIA H100 SXM 80GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:BF16 -c 8192 -ngl 48
Ollama
ollama run qwen3
LM Studio
lms get unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF # Then load quant BF16
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%.
- BF16 size is the real GGUF file size from Hugging Face.
- CPU runs keep about 4 GB plus a 10% cushion for the OS.
- 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 NVIDIA H100 SXM 80GB? — Runs great, Q8_0, 549–749 tok/s
- Can I run Tiel Coder 35B A3B on NVIDIA H100 SXM 80GB? — Runs great, UD-Q8_K_XL, 527–719 tok/s
- Can I run Kwaipilot KAT Coder V2.5 Dev on NVIDIA H100 SXM 80GB? — Tight fit, BF16, 145–197 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.