microsoft/Phi-3-medium-4k-instruct
14B params · est. 8.4 GB Q4
NVIDIA GH200 Grace Hopper 480GB: likely fitNVIDIA H100 SXM5 80GB: likely fit
Head-to-head
NVIDIA GH200 Grace Hopper 480GB vs NVIDIA H100 SXM5 80GB
Dedicated comparison page for two real hardware profiles. This is built from your benchmark database, trust metadata, and buyer flow instead of generic spec-sheet comparisons.
Device profile
NVIDIA GH200 Grace Hopper 480GB
Compared here against NVIDIA H100 SXM5 80GB.
Curated Aggregate·2025-02-25144GB / $44k
Best LLM
380 tok/s
VRAM
144 GB
TDP
1000 W
Rating
8.9
Device profile
NVIDIA H100 SXM5 80GB
70B FP16 with substantial context, 405B Q4 with headroom. Production multi-tenant serving at batch 8-64 via TensorRT-LLM or vLLM.
Curated Aggregate·2026-04-0980GB / $25k
Best LLM
612 tok/s
VRAM
80 GB
TDP
700 W
Rating
9.4
Quick verdict
NVIDIA GH200 Grace Hopper 480GB scores 8.9 while NVIDIA H100 SXM5 80GB scores 9.4 on MyAIHardware's composite rating.
NVIDIA GH200 Grace Hopper 480GB wins VRAM capacity.
NVIDIA H100 SXM5 80GB is the lower-power path.
On shared workload evidence, Mistral 7B Q4 is benchmarked at 305 tok/s for NVIDIA GH200 Grace Hopper 480GB and 295 tok/s for NVIDIA H100 SXM5 80GB.
| Metric | NVIDIA GH200 Grace Hopper 480GB | NVIDIA H100 SXM5 80GB |
|---|---|---|
| MyAI rating | 8.9 | 9.4 |
| Best LLM | 380 tok/s | 612 tok/s |
| VRAM | 144 GB | 80 GB |
| TDP | 1000 W | 700 W |
| MSRP | $44k | $25k |
| Workloads | 4 | 13 |
Shared benchmark rows
Mistral 7B Q4
Mistral 7B
NVIDIA GH200 Grace Hopper 480GB
305 tok/s
Q4_K_M / 144GB / 2024-08-04
NVIDIA H100 SXM5 80GB
295 tok/s
Q4_K_M / 80GB / 2025-05-08
Gemma 2 9B Q4
Gemma 2 9B
NVIDIA GH200 Grace Hopper 480GB
248 tok/s
Q4_K_M / 144GB / 2024-10-26
NVIDIA H100 SXM5 80GB
215 tok/s
Q4_K_M / 80GB / 2024-10-14
Llama 3 70B Q4
Llama 3 70B Q4
NVIDIA GH200 Grace Hopper 480GB
95.0 tok/s
Q4_K_M / 96GB / 2025-02-18
NVIDIA H100 SXM5 80GB
66.0 tok/s
Q4_K_M / 80GB / 2024-06-24
External quality layer
Best open models likely to fit this class
This shortlist cross-references the external OpenEvals snapshot with an approximate Q4-class VRAM estimate. Use it to sanity-check whether the hardware you are comparing can host strong open models, not just benchmark toy workloads.
91.0
Qwen/Qwen2-72B
73B params · est. 43.6 GB Q4
NVIDIA GH200 Grace Hopper 480GB: likely fitNVIDIA H100 SXM5 80GB: likely fit
microsoft/Phi-3.5-mini-instruct
3.8B params · est. 2.3 GB Q4
NVIDIA GH200 Grace Hopper 480GB: likely fitNVIDIA H100 SXM5 80GB: likely fit
internlm/internlm2_5-7b-chat
7.7B params · est. 4.6 GB Q4
NVIDIA GH200 Grace Hopper 480GB: likely fitNVIDIA H100 SXM5 80GB: likely fit