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// RUN — FITS
Can the NVIDIA A100 PCIe 80GB run CausalLM 34B β?
Yes — here's how fast and up to what context, with real measured numbers.
CausalLM 34B β on the NVIDIA A100 PCIe 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 13k | 20.5-24.5 t/s | ~0.4-0.5 (slow) |
| Q8 | yes | 144k | 41.1-48.9 t/s | ~0.8-1 (slow) |
| Q4 | yes | 202k | 73.3-87.4 t/s | ~1.5-1.8 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA A100 PCIe 80GB run CausalLM 34B β?▶
Yes. At Q4 it generates ~73.3-87.4 tok/s and fits up to 202k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.5-1.8 tok/s.
How much context fits?▶
At Q4, up to about 202k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.