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// RUN — FITS
Can the Intel Gaudi 3 run Kimi Linear?
Yes — here's how fast and up to what context, with real measured numbers.
Kimi Linear on the Intel Gaudi 3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 62k | 22.4-27.8 t/s | ~0.2-0.3 (slow) |
| Q8 | yes | 208k | 44.7-55.5 t/s | ~0.5-0.6 (slow) |
| Q4 | yes | 273k | 79.8-99.1 t/s | ~0.9-1.1 (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 Intel Gaudi 3 run Kimi Linear?▶
Yes. At Q4 it generates ~79.8-99.1 tok/s and fits up to 273k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~0.9-1.1 tok/s.
How much context fits?▶
At Q4, up to about 273k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.