Can I run Kimi-Dev-72B on an NVIDIA H200?

Probably, at 4-bit

The published weights are too big, but a 4-bit version (about 40.9 GB) would fit, with room for ≈ 128K tokens of context. The site hasn't analyzed a GGUF of Kimi-Dev-72B yet.

Files and context on NVIDIA H200

Each file of Kimi-Dev-72B (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.

Kimi-Dev-72B 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.