Can B200 192GB SXM run Llama-4-Scout-17B-16E-Instruct?
NVIDIA · 192 GB HBM3e · 8000 GB/s bandwidth ·
Meta · 109.0B (active 17.0B) · MoE · model ctx up to 10240K
Yes — the B200 192GB SXM (192 GB HBM3e) can run Llama-4-Scout-17B-16E-Instruct. At Q4 with the default 8K context it needs ≈ 64.35 GB VRAM (weights 59.95 GB + KV cache 3.4 GB + 1 GB runtime overhead), which fits within 192 GB. Decode at Q4/8K: ≈ 299.5 tok/s (estimated, batch 1). FP16 needs ≈ 222.4 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
62.65 GB
Yes
299.5est.
Q4
8K default
64.35 GB
Yes
299.5est.
Q4
32K
74.55 GB
Yes
299.5est.
FP16
4K
220.7 GB
No
178.1est.
FP16
8K default
222.4 GB
No
175.4est.
FP16
32K
232.6 GB
No
160.3est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).
VRAM breakdown at 8K context
Quant
Weights
KV cache
Overhead
Total needed
B200 192GB SXM VRAM
Q4
59.95 GB
3.4 GB
1 GB
64.35 GB
192 GB
FP16
218.0 GB
3.4 GB
1 GB
222.4 GB
192 GB
Other GPUs that run Llama-4-Scout-17B-16E-Instruct