Can Mixtral 8x7B run on H100 NVL 188GB?
YES — Runs Great
Mixtral 8x7B needs ~50.6 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~455 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
454.5 tok/s
TTFT
426 ms
Safe context
33K
Memory
50.6 GB / 188.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 454.5 tok/s | 350 ms | 33K |
| Coding | B | Runs well | 454.5 tok/s | 426 ms | 33K |
| Agentic Coding | B | Runs well | 454.5 tok/s | 620 ms | 33K |
| Reasoning | B | Runs well | 454.5 tok/s | 503 ms | 33K |
| RAG | B | Runs well | 454.5 tok/s | 775 ms | 33K |
Quantization options
How Mixtral 8x7B (47B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.3 GB | Low | C53 |
Q3_K_S | 3 | 23.0 GB | Low | C53 |
NVFP4 | 4 | 26.3 GB | Medium | C54 |
Q4_K_M | 4 | 28.7 GB | Medium | C54 |
Q5_K_M | 5 | 33.8 GB | High | C55 |
Q6_K | 6 | 38.5 GB | High | B55 |
Q8_0 | 8 | 50.3 GB | Very High | B57 |
F16Best for your GPU | 16 | 96.4 GB | Maximum | B62 |
Get started
Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralFrequently asked questions
Can H100 NVL 188GB run Mixtral 8x7B?
Yes, H100 NVL 188GB can run Mixtral 8x7B with a B grade (Runs well). Expected decode speed: 454.5 tok/s.
How much VRAM does Mixtral 8x7B need?
Mixtral 8x7B (47B parameters) requires approximately 50.6 GB of memory with Q4_K_M quantization.
What is the best quantization for Mixtral 8x7B?
The recommended quantization for Mixtral 8x7B is Q4_K_M, which balances quality and memory efficiency.
What speed will Mixtral 8x7B run at on H100 NVL 188GB?
On H100 NVL 188GB, Mixtral 8x7B achieves approximately 454.5 tokens per second decode speed with a time-to-first-token of 426ms using Q4_K_M quantization.
Can H100 NVL 188GB run Mixtral 8x7B for coding?
For coding workloads, Mixtral 8x7B on H100 NVL 188GB receives a B grade with 454.5 tok/s and 33K context.
What context window can Mixtral 8x7B use on H100 NVL 188GB?
On H100 NVL 188GB, Mixtral 8x7B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.
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