Can I Run Mistral Small 4 on NVIDIA DGX Spark?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
Yes, comfortably — Mistral Small 4 119B-A6.5B at Q4_K_M needs 75.5 GB at 8K context (71.8 GB weights + 3.7 GB KV cache/overhead), leaving ~52.5 GB of the NVIDIA DGX Spark's 128 GB, at ~15 tok/s (est.), with room for up to 128K context.
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NVIDIA DGX Spark Specs
| VRAM | 128 GB |
| Memory Bandwidth | 273 GB/s |
Mistral Small 4 119B-A6.5B on the NVIDIA DGX Spark: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 241.7 GB | ✗ No | — | — |
| Q8_0 | 130.1 GB | ✗ No | — | — |
| Q6_K | 101.2 GB | ✓ Yes | 64K | — |
| Q5_K_M | 88 GB | ✓ Yes | 64K | — |
| Q4_K_M | 75.5 GB | ✓ Yes | 128K | — |
| Q3_K_M | 54.4 GB | ✓ Yes | 128K | — |
| Q2_K | 42.8 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 128 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 DGX Spark: 8K 75.5 GB · 32K 84.1 GB · 128K 118.3 GB. Every window this model publishes still fits 128 GB.
No compatible GPU? Mistral Small 4 119B-A6.5B on 64 GB of system RAM, CPU only: runs.
Mistral Small 4 Sizes That Fit the NVIDIA DGX Spark (at 8K context)
| Mistral Small 4 119B-A6.5B | Q4_K_M · 75.5 GB at 8K context · ~15 tok/s (est.) |
At 2 hrs/day, buying (~$4,699) beats renting at $0.77/hr after about 8.5 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
Mistral Small 4 on the NVIDIA DGX Spark — does it fit?
Yes, comfortably — Mistral Small 4 119B-A6.5B at Q4_K_M needs 75.5 GB at 8K context (71.8 GB weights + 3.7 GB KV cache/overhead), leaving ~52.5 GB of the NVIDIA DGX Spark's 128 GB, at ~15 tok/s (est.), with room for up to 128K context.
Which Mistral Small 4 variant fits best on the NVIDIA DGX Spark?
Mistral Small 4 119B-A6.5B at Q4_K_M quantization needs 75.5 GB at 8K context (71.8 GB weights + 3.7 GB KV cache/overhead), estimated ~15 tokens/sec, up to 128K context.
Mistral Small 4 on Other GPUs
- Mistral Small 4 on Apple M4 Max
- Mistral Small 4 on Apple M3 Max
- Mistral Small 4 on Apple M1 Ultra
- Mistral Small 4 on Apple M5 Max
- Mistral Small 4 on AMD Ryzen AI Max+ 395
Popular Models on the NVIDIA DGX Spark
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Mistral Small 4 Model Page | NVIDIA DGX Spark GPU Page | VRAM calculator | Check Your Hardware