Can Gaudi 3 128GB run Llama-4-Scout-17B-16E-Instruct?
Intel · 128 GB HBM2e · 3276 GB/s bandwidth ·
Meta · 109.0B (active 17.0B) · MoE · model ctx up to 10240K
Yes — the Gaudi 3 128GB (128 GB HBM2e) 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 128 GB. Decode at Q4/8K: ≈ 122.6 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
122.6est.
Q4
8K default
64.35 GB
Yes
122.6est.
Q4
32K
74.55 GB
Yes
122.6est.
FP16
4K
220.7 GB
No
32.4est.
FP16
8K default
222.4 GB
No
31.9est.
FP16
32K
232.6 GB
No
29.2est.
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
Gaudi 3 128GB VRAM
Q4
59.95 GB
3.4 GB
1 GB
64.35 GB
128 GB
FP16
218.0 GB
3.4 GB
1 GB
222.4 GB
128 GB
Other GPUs that run Llama-4-Scout-17B-16E-Instruct