Running GLM 5.2 on B200 SXM
GLM 5.2 has 744 billion parameters. B200 SXM offers 1,440 GB of HBM3e across 8 GPUs memory. This page puts the two side by side.
How much memory does GLM 5.2 need?
Weights take the parameter count multiplied by the format size, plus a 15% runtime margin for activations and buffers. The attention cache sits on top: it grows with context length and with the number of concurrent requests, so it is sized case by case.
| Format | Weights in memory | On this machine | What the format costs |
|---|---|---|---|
| FP16 | 1,711 GB | does not fit | full precision, the quality reference |
| FP8 | 856 GB | fits | negligible loss on most tasks |
| NVFP4 | 428 GB | fits | Blackwell format, native FP4 compute |
| Q4 | 428 GB | fits | block quantisation, broadly supported |
What is left to serve requests?
GLM 5.2 fits comfortably on B200 SXM. In FP8, its weights take about 856 GB of the 1,440 GB available, leaving 584 GB for the attention cache and concurrency. The remaining margin decides how many concurrent requests and how much context the machine sustains. A margin below a quarter of memory forces a limit on context or on concurrency.
Where else can GLM 5.2 run?
- 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 B300 SXM
See the GLM 5.2 and B200 SXM fact sheets.
How much memory does GLM 5.2 need?
In FP8, weights take about 856 GB including the runtime margin. The attention cache sits on top and depends on context.
Does GLM 5.2 fit on B200 SXM?
GLM 5.2 fits comfortably on B200 SXM. In FP8, its weights take about 856 GB of the 1,440 GB available, leaving 584 GB for the attention cache and concurrency.
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.