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// RUN — FITS
Can the FuriosaAI RNGD run Depth Anything V2 Large?
Yes — here's how fast and up to what context, with real measured numbers.
Depth Anything V2 Large on the FuriosaAI RNGD
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 641k | 1453.9-1767.1 t/s | ~38.8-47.1 (slow) |
| Q8 | yes | 646k | 2907.8-3534.1 t/s | ~77.5-94.2 (slow) |
| Q4 | yes | 648k | 5192.6-6311 t/s | ~138.5-168.3 (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 FuriosaAI RNGD run Depth Anything V2 Large?▶
Yes. At Q4 it generates ~5192.6-6311 tok/s and fits up to 648k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~138.5-168.3 tok/s.
How much context fits?▶
At Q4, up to about 648k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.