Can I run gemma-4-E4B-it-GGUF on an NVIDIA H200?

Yes

Its BF16 file (15.1 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 128K tokens of context.

Full analysis of gemma-4-E4B-it-GGUF Everything that runs on NVIDIA H200 Get the BF16 file on Hugging Face

ollama run hf.co/unsloth/gemma-4-E4B-it-GGUF:BF16

Files and context on NVIDIA H200

Each file of gemma-4-E4B-it-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On NVIDIA H200	Context (16-bit)	Context (8-bit)
BF16	15.1 GB	Fits	128K	128K
UD-Q8_K_XL	8.71 GB	Fits	128K	128K
Q8_0	8.19 GB	Fits	128K	128K
UD-Q6_K_XL	7.46 GB	Fits	128K	128K
Q6_K	7.07 GB	Fits	128K	128K
UD-Q5_K_XL	6.66 GB	Fits	128K	128K
Q5_K_M	5.48 GB	Fits	128K	128K
Q5_K_S	5.40 GB	Fits	128K	128K
UD-Q4_K_XL	5.13 GB	Fits	128K	128K
Q4_1	5.07 GB	Fits	128K	128K
Q4_K_M	4.98 GB	Fits	128K	128K
Q4_K_S	4.84 GB	Fits	128K	128K
Q4_0	4.84 GB	Fits	128K	128K
IQ4_NL	4.84 GB	Fits	128K	128K
IQ4_XS	4.72 GB	Fits	128K	128K
UD-Q3_K_XL	4.59 GB	Fits	128K	128K
Q3_K_M	4.06 GB	Fits	128K	128K
Q3_K_S	3.86 GB	Fits	128K	128K
UD-Q2_K_XL	3.76 GB	Fits	128K	128K
UD-IQ3_XXS	3.72 GB	Fits	128K	128K
UD-IQ2_M	3.55 GB	Fits	128K	128K

gemma-4-E4B-it-GGUF on other hardware

Popular models that run on NVIDIA H200

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.