Mixtral 8x22B needs ~109.1 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~153 tok/s.
Operating mode
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
152.7 tok/s
TTFT
1268 ms
Safe context
66K
Memory
109.1 GB / 188.0 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 152.7 tok/s | 692 ms | 66K |
| Coding | B | Runs well | 152.7 tok/s | 1268 ms | 66K |
| Agentic Coding | B | Runs well | 152.7 tok/s | 1845 ms | 66K |
| Reasoning | B | Runs well | 152.7 tok/s | 1499 ms | 66K |
| RAG | B | Runs well | 152.7 tok/s | 2306 ms | 66K |
How Mixtral 8x22B (141B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 55.0 GB | Low | B56 |
Q3_K_S | 3 | 69.1 GB | Low | B57 |
NVFP4 | 4 | 79.0 GB | Medium | B59 |
Q4_K_M | 4 | 86.0 GB | Medium | B59 |
Q5_K_M | 5 | 101.5 GB | High | B61 |
Q6_K | 6 | 115.6 GB | High | B61 |
Q8_0Best for your GPU | 8 | 150.9 GB | Very High | B61 |
F16 | 16 | 289.0 GB | Maximum | F0 |
Copy-paste commands to run Mixtral 8x22B on your machine.
Run
ollama run mixtral:8x22bYes, H100 NVL 188GB can run Mixtral 8x22B with a B grade (Runs well). Expected decode speed: 152.7 tok/s.
Mixtral 8x22B (141B parameters) requires approximately 109.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Mixtral 8x22B is Q4_K_M, which balances quality and memory efficiency.
On H100 NVL 188GB, Mixtral 8x22B achieves approximately 152.7 tokens per second decode speed with a time-to-first-token of 1268ms using Q4_K_M quantization.
For coding workloads, Mixtral 8x22B on H100 NVL 188GB receives a B grade with 152.7 tok/s and 66K context.
On H100 NVL 188GB, Mixtral 8x22B can safely use up to 66K tokens of context. The model's official context limit is 66K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mixtral-8x22b-on-h100-nvl-188gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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