Can I Run Qwen 2.5 VL on NVIDIA RTX 6000 Ada Generation?
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 47.8 GB at 8K context (44.3 GB weights + 3.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~19 tok/s (est.), with room for up to 8K context.
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NVIDIA RTX 6000 Ada Generation Specs
| VRAM | 48 GB |
| Memory Bandwidth | 960 GB/s |
Qwen 2.5 VL 72B Instruct on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 150.3 GB | ✗ No | — | — |
| Q8_0 | 81.5 GB | ✗ No | — | — |
| Q6_K | 63.7 GB | ✗ No | — | — |
| Q5_K_M | 55.5 GB | ✗ No | — | — |
| Q4_K_M | 47.8 GB | ✓ Yes | 8K | — |
| Q3_K_M | 34.8 GB | ✓ Yes | 32K | — |
| Q2_K | 27.6 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache. 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 RTX 6000 Ada Generation: 8K 47.8 GB · 32K 55.9 GB ✗ · 125K 87.1 GB ✗. Past 32K it no longer fits 48 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen 2.5 VL on 8 GB of system RAM, CPU only: runs, but it is tight.
Qwen 2.5 VL Sizes That Fit the NVIDIA RTX 6000 Ada Generation (at 8K context)
| Qwen 2.5 VL 72B Instruct | Q4_K_M · 47.8 GB at 8K context · ~19 tok/s (est.) |
| Qwen 2.5 VL 7B Instruct | Q4_K_M · 6.3 GB at 8K context · ~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.
FAQ
Is the NVIDIA RTX 6000 Ada Generation enough to run Qwen 2.5 VL locally?
Yes, but it's tight — Qwen 2.5 VL 72B Instruct at Q4_K_M needs 47.8 GB at 8K context (44.3 GB weights + 3.5 GB KV cache/overhead), leaving ~0.2 GB of the NVIDIA RTX 6000 Ada Generation's 48 GB, at ~19 tok/s (est.), with room for up to 8K context.
What's the best Qwen 2.5 VL size for the NVIDIA RTX 6000 Ada Generation?
Qwen 2.5 VL 72B Instruct at Q4_K_M quantization needs 47.8 GB at 8K context (44.3 GB weights + 3.5 GB KV cache/overhead), estimated ~19 tokens/sec, up to 8K context.
Every Qwen 2.5 VL size on the NVIDIA RTX 6000 Ada Generation
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 VL 72B Instruct | 47.8 GB | Runs | ~19 tok/s |
| Qwen 2.5 VL 7B Instruct | 6.3 GB | Runs | ~123 tok/s |
Qwen 2.5 VL on Other GPUs
Popular Models on the NVIDIA RTX 6000 Ada Generation
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Qwen 2.5 VL Model Page | NVIDIA RTX 6000 Ada Generation GPU Page | VRAM calculator | Check Your Hardware