Can I Run Qwen3-Coder on NVIDIA A100 80GB (PCIe)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
Yes, comfortably — Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), leaving ~28.4 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~209 tok/s (est.), with room for up to 64K context.
See what else this hardware can run →
lub porównaj w Vast.ai od $0.77/godz. (typical low · varies)
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NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
Qwen3-Coder-Next (80B-A3B MoE) on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 163.3 GB | ✗ No | — | — |
| Q8_0 | 88.3 GB | ✗ No | — | — |
| Q6_K | 68.9 GB | ✓ Yes | 32K | — |
| Q5_K_M | 60 GB | ✓ Yes | 64K | — |
| Q4_K_M | 51.6 GB | ✓ Yes | 64K | — |
| Q3_K_M | 37.4 GB | ✓ Yes | 128K | — |
| Q2_K | 29.6 GB | ✓ Yes | 128K | — |
Assumes an 8K-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 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 51.6 GB · 32K 59 GB · 128K 88.8 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? Qwen3-Coder-Next (80B-A3B MoE) on 96 GB of system RAM, CPU only: runs.
Qwen3-Coder Sizes That Fit the NVIDIA A100 80GB (PCIe) (at 8K context)
| Qwen3-Coder-Next (80B-A3B MoE) | Q4_K_M · 51.6 GB at 8K context · ~209 tok/s (est.) |
| Qwen3-Coder 30B-A3B (MoE) | Q4_K_M · 20 GB at 8K context · ~236 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
Does the NVIDIA A100 80GB (PCIe) have enough VRAM for Qwen3-Coder?
Yes, comfortably — Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), leaving ~28.4 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~209 tok/s (est.), with room for up to 64K context.
Which quantization of Qwen3-Coder should I use on the NVIDIA A100 80GB (PCIe)?
Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M quantization needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), estimated ~209 tokens/sec, up to 64K context.
Every Qwen3-Coder size on the NVIDIA A100 80GB (PCIe)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen3-Coder 480B-A35B (MoE) | 291.6 GB | Does not fit | — |
| Qwen3-Coder-Next (80B-A3B MoE) | 51.6 GB | Runs | ~209 tok/s |
Qwen3-Coder on Other GPUs
- Qwen3-Coder on NVIDIA H100 80GB (PCIe)
- Qwen3-Coder on Apple M2 Max
- Qwen3-Coder on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
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