Can Phi-4-reasoning-plus 14B run on H100 NVL 188GB?
YES — Runs Great
Phi-4-reasoning-plus 14B needs ~32.0 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~206 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
205.8 tok/s
TTFT
941 ms
Safe context
33K
Memory
32.0 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 | S | Runs well | 205.8 tok/s | 513 ms | 33K |
| Coding | S | Runs well | 205.8 tok/s | 941 ms | 33K |
| Agentic Coding | S | Runs well | 205.8 tok/s | 1368 ms | 33K |
| Reasoning | S | Runs well | 205.8 tok/s | 1112 ms | 33K |
| RAG | S | Runs well | 205.8 tok/s | 1710 ms | 33K |
Quantization options
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.7 GB | Low | A77 |
Q3_K_S | 3 | 7.2 GB | Low | A77 |
NVFP4 | 4 | 8.2 GB | Medium | A77 |
Q4_K_M | 4 | 9.0 GB | Medium | A77 |
Q5_K_M | 5 | 10.6 GB | High | A77 |
Q6_K | 6 | 12.1 GB | High | A77 |
Q8_0 | 8 | 15.7 GB | Very High | A77 |
F16Best for your GPU | 16 | 30.1 GB | Maximum | A78 |
Get started
Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.
Run
ollama run phi4-reasoningYour hardware
More models your H100 NVL 188GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 91.6 tok/s | ||
| 30.5B | S | 955.4 tok/s | ||
| 27B | S | 378 tok/s | ||
| 27B | S | 378 tok/s | ||
| 122B | S | 254 tok/s |
Frequently asked questions
Can H100 NVL 188GB run Phi-4-reasoning-plus 14B?
Yes, H100 NVL 188GB can run Phi-4-reasoning-plus 14B with a S grade (Runs well). Expected decode speed: 205.8 tok/s.
How much VRAM does Phi-4-reasoning-plus 14B need?
Phi-4-reasoning-plus 14B (14.699999809265137B parameters) requires approximately 32.0 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi-4-reasoning-plus 14B?
The recommended quantization for Phi-4-reasoning-plus 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi-4-reasoning-plus 14B run at on H100 NVL 188GB?
On H100 NVL 188GB, Phi-4-reasoning-plus 14B achieves approximately 205.8 tokens per second decode speed with a time-to-first-token of 941ms using Q4_K_M quantization.
Can H100 NVL 188GB run Phi-4-reasoning-plus 14B for coding?
For coding workloads, Phi-4-reasoning-plus 14B on H100 NVL 188GB receives a S grade with 205.8 tok/s and 33K context.
What context window can Phi-4-reasoning-plus 14B use on H100 NVL 188GB?
On H100 NVL 188GB, Phi-4-reasoning-plus 14B 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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