NVIDIA · 141 GB HBM3e · 4800 GB/s bandwidth ·
Microsoft · 14.7B · model ctx up to 32K
Yes — the H200 141GB SXM5 (141 GB HBM3e) can run Phi-4-reasoning. At Q4 with the default 8K context it needs ≈ 12.03 GB VRAM (weights 8.09 GB + KV cache 2.94 GB + 1 GB runtime overhead), which fits within 141 GB. Decode at Q4/8K: ≈ 207.8 tok/s (estimated, batch 1). FP16 (≈ 33.34 GB) also fits, at ≈ 57.1 tok/s (estimated). 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
10.56 GB
Yes
207.8est.
Q4
8K default
12.03 GB
Yes
207.8est.
Q4
32K
20.84 GB
Yes
207.8est.
FP16
4K
31.87 GB
Yes
57.1est.
FP16
8K default
33.34 GB
Yes
57.1est.
FP16
32K
42.16 GB
Yes
57.1est.
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).