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// RUN — FITS
Can the NVIDIA A100 PCIe 80GB run Prithvi WxC?
Yes — here's how fast and up to what context, with real measured numbers.
Prithvi WxC on the NVIDIA A100 PCIe 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1030k | 307.1-366 t/s | ~6.3-7.6 (slow) |
| Q8 | yes | 1065k | 614.2-731.9 t/s | ~12.7-15.1 (slow) |
| Q4 | yes | 1081k | 1096.7-1307 t/s | ~22.7-27 (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 Prithvi WxC?▶
Yes. At Q4 it generates ~1096.7-1307 tok/s and fits up to 1081k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~22.7-27 tok/s.
How much context fits?▶
At Q4, up to about 1081k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.