~$2,499 MSRP
Can SmolLM3 3B run on NVIDIA H800 80GB?
YES — Runs Great
SmolLM3 3B needs ~13.0 GB VRAM. NVIDIA H800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~42 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
42.0 tok/s
TTFT
4610 ms
Safe context
128K
Memory
13.0 GB / 80.0 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 | C | Runs well | 42.0 tok/s | 2514 ms | 128K |
| Coding | C | Runs well | 42.0 tok/s | 4610 ms | 128K |
| Agentic Coding | C | Runs well | 42.0 tok/s | 6705 ms | 128K |
| Reasoning | C | Runs well | 42.0 tok/s | 5448 ms | 128K |
| RAG | C | Runs well | 42.0 tok/s | 8381 ms | 128K |
Quantization options
How SmolLM3 3B (3B params) fits at each quantization level on NVIDIA H800 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | C47 |
Q3_K_S | 3 | 1.5 GB | Low | C47 |
NVFP4 | 4 | 1.7 GB | Medium | C47 |
Q4_K_M | 4 | 1.8 GB | Medium | C47 |
Q5_K_M | 5 | 2.2 GB | High | C47 |
Q6_K | 6 | 2.5 GB | High | C47 |
Q8_0 | 8 | 3.2 GB | Very High | C47 |
F16Best for your GPU | 16 | 6.1 GB | Maximum | C48 |
Get started
Copy-paste commands to run SmolLM3 3B on your machine.
Run
lms load SmolLM3-3B && lms server startUpgrade options
Hardware that runs SmolLM3 3B well
~$3,999 MSRP
Adds memory headroom for longer context windows and future model growth.
