Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Qwen 3.6 35B-A3B needs 21.1 GB at Q4_K_M and the NVIDIA L40S has 48 GB, leaving about 26.9 GB of headroom, at roughly 176 tok/s (estimated) with room for up to 64K of context.
See what else this hardware can run →
| Model | Qwen 3.6 35B-A3B |
| Parameters | 35B (3B active) |
| Quantization | Q4_K_M |
| VRAM needed | 21.1 GB |
| NVIDIA L40S VRAM | 48 GB |
| Verdict | Runs |
| Max context | 64K |
| Estimated speed | ~176 tok/s |
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.7 GB | ✗ No | — | — |
| Q8_0 | 38.9 GB | ✓ Yes | 32K | Build for this |
| Q6_K | 30.4 GB | ✓ Yes | 64K | — |
| Q5_K_M | 26.5 GB | ✓ Yes | 64K | Build for this |
| Q4_K_M | 22.9 GB | ✓ Yes | 64K | Build for this |
| Q3_K_M | 16.7 GB | ✓ Yes | 128K | — |
| Q2_K | 13.2 GB | ✓ Yes | 128K | — |
Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA L40S: 8K 23.8 GB · 32K 29.4 GB · 128K 52 GB ✗. Past 128K it no longer fits 48 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Qwen 3.6 35B-A3B on 32 GB of system RAM, CPU only: runs, but it is tight.
Running Qwen 3.6 35B-A3B on this card:
At 2 hrs/day, buying (~$7,499) beats renting at $0.34/hr after about 30.6 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Qwen 3.6 sizes on the NVIDIA L40S | Qwen 3.6 35B-A3B model page | NVIDIA L40S GPU page | Check your hardware