Can I Run Qwen 2.5 Family on NVIDIA A100 80GB (PCIe)?
Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — Qwen 2.5 72B Instruct at Q4_K_M needs 47 GB at 8K context (43.5 GB weights + 3.5 GB KV cache/overhead), leaving ~33 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 72B Instruct on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 147.5 GB | ✗ No | — | — |
| Q8_0 | 80 GB | ✓ Yes | 8K | — |
| Q6_K | 62.5 GB | ✓ Yes | 32K | — |
| Q5_K_M | 54.5 GB | ✓ Yes | 64K | — |
| Q4_K_M | 47 GB | ✓ Yes | 64K | — |
| Q3_K_M | 34.2 GB | ✓ Yes | 128K | — |
| Q2_K | 27.2 GB | ✓ Yes | 128K | — |
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 GB · 32K 55 GB · 128K 87.2 GB ✗. Past 128K 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 Family on 8 GB of system RAM, CPU only: runs, but it is tight.
Qwen 2.5 Family Sizes That Fit the NVIDIA A100 80GB (PCIe) (at 8K context)
| Qwen 2.5 72B Instruct | Q4_K_M · 47 GB at 8K context · ~25 tok/s (est.) |
| Qwen 2.5 Coder 32B | Q4_K_M · 22.3 GB at 8K context · ~52 tok/s (est.) |
| Qwen 2.5 14B Instruct | Q4_K_M · 10.9 GB at 8K context · ~101 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 5.9 GB at 8K context · ~160 tok/s (est.) |
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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
Does the NVIDIA A100 80GB (PCIe) have enough VRAM for Qwen 2.5 Family?
Yes, comfortably — Qwen 2.5 72B Instruct at Q4_K_M needs 47 GB at 8K context (43.5 GB weights + 3.5 GB KV cache/overhead), leaving ~33 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~25 tok/s (est.), with room for up to 64K context.
Which quantization of Qwen 2.5 Family should I use on the NVIDIA A100 80GB (PCIe)?
Qwen 2.5 72B Instruct at Q4_K_M quantization needs 47 GB at 8K context (43.5 GB weights + 3.5 GB KV cache/overhead), estimated ~25 tokens/sec, up to 64K context.
Every Qwen 2.5 Family size on the NVIDIA A100 80GB (PCIe)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 47 GB | Runs | ~25 tok/s |
| Qwen 2.5 Coder 32B | 22.3 GB | Runs | ~52 tok/s |
| Qwen 2.5 14B Instruct | 10.9 GB | Runs | ~101 tok/s |
| Qwen 2.5 7B Instruct | 5.9 GB | Runs | ~160 tok/s |
Qwen 2.5 Family on Other GPUs
- Qwen 2.5 Family on NVIDIA H100 80GB (PCIe)
- Qwen 2.5 Family on Apple M2 Max
- Qwen 2.5 Family on Apple M1 Max
- Qwen 2.5 Family on Apple M5 Pro
- Qwen 2.5 Family on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
VRAM Tier
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