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Serving Kimi K2.7 Code with Triton Inference Server

Kimi K2.7 Code has 1000 billion parameters. Triton Inference Server targets industrial deployment across several models. This page gives the memory required and the platforms that qualify.

Short answer. Triton Inference Server serves Kimi K2.7 Code as soon as the machine offers at least 575 GB of memory, the weight footprint in NVFP4. 6 of the 8 platforms in the catalogue meet that bar.

What is the minimum memory?

Kimi K2.7 Code totals 1000 billion parameters. In NVFP4 its weights take about 575 GB including the runtime margin. In FP8 the footprint doubles, to about 1,150 GB. The attention cache sits on top and depends on the context served.

What is Triton Inference Server for?

Triton Inference Server targets industrial deployment across several models. See the Triton Inference Server and Kimi K2.7 Code fact sheets.

On which platforms?

How much memory for Kimi K2.7 Code with Triton Inference Server?

About 575 GB in NVFP4 for the weights, excluding the attention cache.

Does Triton Inference Server suit Kimi K2.7 Code?

Triton Inference Server serves Kimi K2.7 Code as soon as the machine offers at least 575 GB of memory, the weight footprint in NVFP4. 6 of the 8 platforms in the catalogue meet that bar.

Method

Parameter counts and memory figures come from the site fact sheets. Memory footprints are calculated, not measured: a reading on real hardware may differ depending on the engine and the exact weight format. Prices are indicative and not contractual.