Can Falcon 40B Instruct run on B100 192GB?
YES — Runs Great
Falcon 40B Instruct needs ~51.0 GB VRAM. B100 192GB has 192.0 GB. With Q5_K_M quantization, expect ~238 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
258.8 tok/s
TTFT
748 ms
Safe context
8K
Memory
51.0 GB / 192.0 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 | B | Runs well | 238.0 tok/s | 444 ms | 8K |
| Coding | B | Runs well | 238.0 tok/s | 813 ms | 8K |
| Agentic Coding | B | Runs well | 238.0 tok/s | 1183 ms | 8K |
| Reasoning | B | Runs well | 238.0 tok/s | 961 ms | 8K |
| RAG | B | Runs well | 238.0 tok/s | 1479 ms | 8K |
Quantization options
How Falcon 40B Instruct (40B params) fits at each quantization level on B100 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B58 |
Q3_K_S | 3 | 19.6 GB | Low | B58 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Falcon 40B Instruct on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "tiiuae/falcon-40b-instruct" \
--hf-file "falcon-40b-instruct-Q5_K_M.gguf" \
-c 4096 -ngl 99