Can I Run Qwen 2.5 VL on NVIDIA A100 80GB (PCIe)?
作者： Jakub Rusinowski · 最后更新： 2026年7月21日
Yes, comfortably — 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 ~32.2 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~25 tok/s (est.), with room for up to 64K context.
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NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
Qwen 2.5 VL 72B Instruct on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 150.3 GB | ✗ No | — | — |
| Q8_0 | 81.5 GB | ✗ No | — | — |
| Q6_K | 63.7 GB | ✓ Yes | 32K | — |
| Q5_K_M | 55.5 GB | ✓ Yes | 64K | — |
| Q4_K_M | 47.8 GB | ✓ Yes | 64K | — |
| Q3_K_M | 34.8 GB | ✓ Yes | 64K | — |
| 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 80 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 A100 80GB (PCIe): 8K 47.8 GB · 32K 55.9 GB · 125K 87.1 GB ✗. Past 125K it no longer fits 80 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 A100 80GB (PCIe) (at 8K context)
| Qwen 2.5 VL 72B Instruct | Q4_K_M · 47.8 GB at 8K context · ~25 tok/s (est.) |
| Qwen 2.5 VL 7B Instruct | Q4_K_M · 6.3 GB at 8K context · ~152 tok/s (est.) |
At 2 hrs/day, buying (~$15,000) beats renting at $0.77/hr after about 27.1 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 A100 80GB (PCIe) enough to run Qwen 2.5 VL locally?
Yes, comfortably — 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 ~32.2 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~25 tok/s (est.), with room for up to 64K context.
What's the best Qwen 2.5 VL size for the NVIDIA A100 80GB (PCIe)?
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 ~25 tokens/sec, up to 64K context.
Every Qwen 2.5 VL size on the NVIDIA A100 80GB (PCIe)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 VL 72B Instruct | 47.8 GB | Runs | ~25 tok/s |
| Qwen 2.5 VL 7B Instruct | 6.3 GB | Runs | ~152 tok/s |
Qwen 2.5 VL on Other GPUs
- Qwen 2.5 VL on NVIDIA H100 80GB (PCIe)
- Qwen 2.5 VL on Apple M2 Max
- Qwen 2.5 VL on Apple M1 Max
- Qwen 2.5 VL on Apple M5 Pro
- Qwen 2.5 VL on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
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