Serving GLM 5.2 with Triton Inference Server
GLM 5.2 has 744 billion parameters. Triton Inference Server targets industrial deployment across several models. This page gives the memory required and the platforms that qualify.
What is the minimum memory?
GLM 5.2 totals 744 billion parameters. In NVFP4 its weights take about 428 GB including the runtime margin. In FP8 the footprint doubles, to about 856 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 GLM 5.2 fact sheets.
On which platforms?
- GLM 5.2 on Mac Studio Ultra
- GLM 5.2 on DGX Station
- GLM 5.2 on RTX PRO 6000 server
- GLM 5.2 on H200 SXM server
- GLM 5.2 on B200 SXM
- GLM 5.2 on B300 SXM
How much memory for GLM 5.2 with Triton Inference Server?
About 428 GB in NVFP4 for the weights, excluding the attention cache.
Does Triton Inference Server suit GLM 5.2?
Triton Inference Server serves GLM 5.2 as soon as the machine offers at least 428 GB of memory, the weight footprint in NVFP4. 7 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.