Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, but it's tight — Qwen 2.5 VL 72B Instruct at Q4_K_M needs 44.315250000000006 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, leaving only ~3.7 GB, ~19 tok/s (est.) with room for up to 8K context.
| VRAM | 48 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 48 GB? | Max context |
|---|---|---|---|
| F16 | 148.9 GB | ✗ No | — |
| Q8_0 | 80.1 GB | ✗ No | — |
| Q6_K | 62.3 GB | ✗ No | — |
| Q5_K_M | 54.2 GB | ✗ No | — |
| Q4_K_M | 46.5 GB | ✓ Yes | 8K |
| Q3_K_M | 33.4 GB | ✓ Yes | 32K |
| Q2_K | 26.3 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “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.
| Qwen 2.5 VL 72B Instruct | Q4_K_M · 44.315250000000006 GB · ~19 tok/s (est.) |
| Qwen 2.5 VL 7B Instruct | Q4_K_M · 5.005087499999999 GB · ~123 tok/s (est.) |
At 2 hrs/day, buying (~$6,799) beats renting at $0.77/hr after about 12.3 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.
Yes, but it's tight — Qwen 2.5 VL 72B Instruct at Q4_K_M needs 44.315250000000006 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, leaving only ~3.7 GB, ~19 tok/s (est.) with room for up to 8K context.
Qwen 2.5 VL 72B Instruct at Q4_K_M quantization (44.315250000000006 GB), estimated ~19 tokens/sec, up to 8K context.
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