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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/GLM-5/on NVIDIA A800 80GB

Can it run?

Can NVIDIA A800 80GB run GLM-5?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

9.7 tok/s

TTFT

19968 ms

Safe context

4K

Memory

470.5 GB / 80.0 GB

Memory breakdown

Weights453.8 GB
KV Cache6.3 GB
Runtime2.4 GB
Headroom8.0 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy9.7 tok/s29045 ms5K
ChatFToo heavy9.7 tok/s10892 ms4K
CodingFToo heavy9.7 tok/s19968 ms4K
RAGFToo heavy9.7 tok/s36306 ms5K
ReasoningFToo heavy9.7 tok/s23599 ms4K

Quantization options

How GLM-5 (744B params) fits at each quantization level on NVIDIA A800 80GB (80.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
290.2 GB
LowF0
Q3_K_S
3
364.6 GB
LowF0
NVFP4
4
416.6 GB
MediumF0
Q4_K_M
4
453.8 GB
MediumF0
Q5_K_M
5
535.7 GB
HighF0
Q6_K
6
610.1 GB
HighF0
Q8_0
8
796.1 GB
Very HighF0
F16
16
1525.2 GB
MaximumF0
See all results for NVIDIA A800 80GBSee all hardware for GLM-5