Can MI300X 192GB run Llama-4-Scout-17B-16E-Instruct?
AMD · 192 GB HBM3 · 5300 GB/s bandwidth ·
Meta · 109.0B (active 17.0B) · MoE · model ctx up to 10240K
Yes — the MI300X 192GB (192 GB HBM3) 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: ≈ 198.4 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
198.4est.
Q4
8K default
64.35 GB
Yes
198.4est.
Q4
32K
74.55 GB
Yes
198.4est.
FP16
4K
220.7 GB
No
118.0est.
FP16
8K default
222.4 GB
No
116.2est.
FP16
32K
232.6 GB
No
106.2est.
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
MI300X 192GB 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