Can I Run Devstral on NVIDIA A100 80GB (PCIe)?
Written by Jakub Rusinowski · Last updated September 11, 2026
Yes, but it's tight — Devstral-2 123B at Q4_K_M needs 77.9 GB at 8K context (74.3 GB weights + 3.6 GB KV cache/overhead), leaving ~2.1 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~15 tok/s (est.), with room for up to 8K context.
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NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
Devstral-2 123B on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 249.7 GB | ✗ No | — | — |
| Q8_0 | 134.4 GB | ✗ No | — | — |
| Q6_K | 104.5 GB | ✗ No | — | — |
| Q5_K_M | 90.9 GB | ✗ No | — | — |
| Q4_K_M | 77.9 GB | ✓ Yes | 8K | — |
| Q3_K_M | 56.1 GB | ✓ Yes | 64K | — |
| Q2_K | 44.1 GB | ✓ Yes | 64K | — |
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 77.9 GB · 32K 86.6 GB ✗ · 128K 121.2 GB ✗. Past 32K 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? Devstral on 16 GB of system RAM, CPU only: runs, but it is tight.
Devstral Sizes That Fit the NVIDIA A100 80GB (PCIe) (at 8K context)
| Devstral-2 123B | Q4_K_M · 77.9 GB at 8K context · ~15 tok/s (est.) |
| Devstral Small 2505 24B | Q4_K_M · 16.6 GB at 8K context · ~67 tok/s (est.) |
| Devstral Small 2 24B | Q4_K_M · 16.6 GB at 8K context · ~67 tok/s (est.) |
| Devstral 2 22B | Q4_K_M · 15.7 GB at 8K context · ~72 tok/s (est.) |
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FAQ
Devstral on the NVIDIA A100 80GB (PCIe) — does it fit?
Yes, but it's tight — Devstral-2 123B at Q4_K_M needs 77.9 GB at 8K context (74.3 GB weights + 3.6 GB KV cache/overhead), leaving ~2.1 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~15 tok/s (est.), with room for up to 8K context.
Which Devstral variant fits best on the NVIDIA A100 80GB (PCIe)?
Devstral-2 123B at Q4_K_M quantization needs 77.9 GB at 8K context (74.3 GB weights + 3.6 GB KV cache/overhead), estimated ~15 tokens/sec, up to 8K context.
Every Devstral size on the NVIDIA A100 80GB (PCIe)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 77.9 GB | Runs | ~15 tok/s |
| Devstral Small 2505 24B | 16.6 GB | Runs | ~67 tok/s |
| Devstral Small 2 24B | 16.6 GB | Runs | ~67 tok/s |
Devstral on Other GPUs
Popular Models on the NVIDIA A100 80GB (PCIe)
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
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