Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
Phi 3 Mini 3.8B needs ~19.0 GB VRAM. NVIDIA H20 96GB has 96.0 GB. With Q4_K_M quantization, expect ~53 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
53.2 tok/s
TTFT
3639 ms
Safe context
128K
Memory
19.0 GB / 96.0 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 | 53.2 tok/s | 1985 ms | 128K |
| Coding | B | Runs well | 53.2 tok/s | 3639 ms | 128K |
| Agentic Coding | B | Runs well | 53.2 tok/s | 5293 ms | 128K |
| Reasoning | B | Runs well | 53.2 tok/s | 4301 ms | 128K |
| RAG | B | Runs well | 53.2 tok/s | 6617 ms | 128K |
How Phi 3 Mini 3.8B (3.799999952316284B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.5 GB | Low | B56 |
Q3_K_S | 3 | 1.9 GB | Low | B56 |
NVFP4 | 4 |
Copy-paste commands to run Phi 3 Mini 3.8B on your machine.
Run
ollama run phi3:miniUpgrade options
Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
Yes, NVIDIA H20 96GB can run Phi 3 Mini 3.8B with a B grade (Runs well). Expected decode speed: 53.2 tok/s.
Phi 3 Mini 3.8B (3.799999952316284B parameters) requires approximately 19.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 3 Mini 3.8B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H20 96GB, Phi 3 Mini 3.8B achieves approximately 53.2 tokens per second decode speed with a time-to-first-token of 3639ms using Q4_K_M quantization.
For coding workloads, Phi 3 Mini 3.8B on NVIDIA H20 96GB receives a B grade with 53.2 tok/s and 128K context.
On NVIDIA H20 96GB, Phi 3 Mini 3.8B can safely use up to 128K tokens of context. The model's official context limit is 128K, 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/phi-3-mini-3.8b-on-h20-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
2.1 GB |
| Medium |
| B56 |
Q4_K_M | 4 | 2.3 GB | Medium | B56 |
Q5_K_M | 5 | 2.7 GB | High | B56 |
Q6_K | 6 | 3.1 GB | High | B56 |
Q8_0 | 8 | 4.1 GB | Very High | B56 |
F16Best for your GPU | 16 | 7.8 GB | Maximum | B56 |