Kimi Linear 48B A3B needs ~51.8 GB VRAM. B100 192GB has 192.0 GB. With Q4_K_M quantization, expect ~184 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
183.6 tok/s
TTFT
1054 ms
Safe context
1.0M
Memory
51.8 GB / 192.0 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 | A | Runs well | 183.6 tok/s | 575 ms | 1.0M |
| Coding | A | Runs well | 183.6 tok/s | 1054 ms | 1.0M |
| Agentic Coding | A | Runs well | 183.6 tok/s | 1534 ms | 1.0M |
| Reasoning | A | Runs well | 183.6 tok/s | 1246 ms | 1.0M |
| RAG | A | Runs well | 183.6 tok/s | 1917 ms | 1.0M |
How Kimi Linear 48B A3B (48B params) fits at each quantization level on B100 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | B70 |
Q3_K_S | 3 | 23.5 GB | Low | A70 |
NVFP4 | 4 |
Copy-paste commands to run Kimi Linear 48B A3B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "moonshotai/Kimi-Linear-48B-A3B-Instruct" \
--hf-file "Kimi-Linear-48B-A3B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 77.9 tok/s | ||
| 122B | S |
Yes, B100 192GB can run Kimi Linear 48B A3B with a A grade (Runs well). Expected decode speed: 183.6 tok/s.
Kimi Linear 48B A3B (48B parameters) requires approximately 51.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Kimi Linear 48B A3B is Q4_K_M, which balances quality and memory efficiency.
On B100 192GB, Kimi Linear 48B A3B achieves approximately 183.6 tokens per second decode speed with a time-to-first-token of 1054ms using Q4_K_M quantization.
For coding workloads, Kimi Linear 48B A3B on B100 192GB receives a A grade with 183.6 tok/s and 1.0M context.
On B100 192GB, Kimi Linear 48B A3B can safely use up to 1.0M tokens of context. The model's official context limit is 1.0M, 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/kimi-linear-48b-a3b-on-b100-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
26.9 GB |
| Medium |
| A71 |
Q4_K_M | 4 | 29.3 GB | Medium | A71 |
Q5_K_M | 5 | 34.6 GB | High | A72 |
Q6_K | 6 | 39.4 GB | High | A72 |
Q8_0 | 8 | 51.4 GB | Very High | A73 |
F16Best for your GPU | 16 | 98.4 GB | Maximum | A79 |
| 205.3 tok/s |
| 284B | S | 110 tok/s |
| 119B | S | 222.6 tok/s |
| 117B | S | 81.9 tok/s |