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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Command A 111B/on NVIDIA H800 80GB

Can it run?

Can NVIDIA H800 80GB run Command A 111B?

DPoor

Very compromised (needs ~11 GB host RAM)

Using Q4_K_M in vLLM

Capabilities:

Fit status

Very compromised (needs ~11 GB host RAM)

Decode

33.0 tok/s

TTFT

5870 ms

Safe context

13K

Memory

95.5 GB / 80.0 GB

Offload

20%

Memory breakdown

Weights67.7 GB
KV Cache17.3 GB
Runtime2.4 GB
Headroom8.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy35.9 tok/s7847 ms23K
ChatCVery compromised (needs ~5.3 GB host RAM)34.5 tok/s3062 ms7K
CodingDVery compromised (needs ~11 GB host RAM)33.0 tok/s5870 ms13K
RAGFToo heavy35.9 tok/s9808 ms23K
ReasoningDVery compromised (needs ~11 GB host RAM)33.0 tok/s6937 ms13K

Quantization options

How Command A 111B (111B params) fits at each quantization level on NVIDIA H800 80GB (80.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
43.3 GB
LowC41
Q3_K_SBest for your GPU
3
54.4 GB
LowC44
NVFP4
4
62.2 GB
MediumC44
Q4_K_M
4
67.7 GB
MediumC44
Q5_K_M
5
79.9 GB
HighC44
Q6_K
6
91.0 GB
HighF0
Q8_0
8
118.8 GB
Very HighF0
F16
16
227.6 GB
MaximumF0

Get started

Ollama
ollama run command-a-111b
HuggingFace
huggingface-cli download command-a-111b

Upgrade options

Hardware that runs Command A 111B well

AppleMac Studio M2 Ultra 128GBBest value
D6.7 tok/s decode

~$3,999 MSRP

AMDAMD Instinct MI350X 288GBBudget pick
C86.3 tok/s decode

~$8,000 MSRP

NVIDIANVIDIA H200 141GBBiggest leap
B59.5 tok/s decode

~$30,000 MSRP

NVIDIANVIDIA H200 PCIe 141GBNVIDIA upgrade
B59.5 tok/s decode

~$30,000 MSRP

See all results for NVIDIA H800 80GBSee all hardware for Command A 111B