YOUR AI, WITH YOUR CHOSEN MODEL

GLM-5.3

A large model for demanding work. The original version needs a custom server platform.

We’ll prepare the hardware, model and a convenient interfaceEstimate a custom server

COMPLETE-SYSTEM CONFIGURATION AND PRICE

A server for your requirements.

There is no suitable base-catalogue system for this original version. We’ll prepare a separate configuration and preliminary price.

Tested on your tasks before handover.Time to first response, speed and concurrent operation are part of the agreed test. Headcount alone does not determine workload.

MANUFACTURER ALTERNATIVES

Configurations from established manufacturers.

These platforms are candidates for testing the chosen version. The system, price and operating profile will be confirmed before ordering.

Lenovo3U rack

For large original models

ThinkSystem SR675i V3 · CF3F

A fixed factory configuration for demanding AI services and several work scenarios.

8 × RTX PRO 6000 Blackwell Server Edition 96 GB1,5 TB ECC RDIMM · 24 × 64 GB768 GB combined GPU memory · model placement subject to testing

Fixed manufacturer configuration

Complete systemPrice on requestWe’ll confirm price and supply availability

MODELS TO TESTGLM-5.3 · FP8 MiniMax-M3-MXFP8 · MXFP8 DeepSeek-V4.1-Flash · FP4/FP8

Request price and lead time

Configuration and verification

CPU: 2 × AMD EPYC 9535 · 64 cores each
RAM: 1,5 TB ECC RDIMM · 24 × 64 GB
Storage: 2 × 960 GB M.2 + 2 × 3,84 TB E3.S NVMe
Power: 4 × 2600 W Titanium · 230 V

Official CF3F BOM: 4 × BlueField-3 B3140H 400G and 1 × B3220 2 × 200G, CBK8 GPUs. Main components are fixed in CTO. 768 GB is the sum of GPU memory, not a single memory bank. GLM files are about 703.74 GiB: runtime headroom and engine must be checked separately.

GPU support is published by the manufacturer. The selected model has not yet been tested.

Official specification

Lenovo3U rack

For the largest workloads

ThinkSystem SR675 V3

A server with high accelerator-memory capacity for original models and engineering performance validation.

8 × NVIDIA H200 NVL 141 GB1,5 TB ECC RDIMM · 24 × 64 GB1128 GB combined GPU memory · model placement subject to testing

Our proposed configuration for a factory enquiry

Complete systemPrice on requestWe’ll confirm price and supply availability

MODELS TO TESTGLM-5.3 · FP8 MiniMax-M3-MXFP8 · MXFP8 DeepSeek-V4.1-Flash · FP4/FP8

Request price and lead time

Configuration and verification

CPU: 2 × AMD EPYC 9535 · 64 cores each
RAM: 1,5 TB ECC RDIMM · 24 × 64 GB
Storage: 2 × 960 GB M.2 + 2 × 3,84 TB NVMe
Power: 4 × 2600 W Titanium; 230 V, verify redundancy

H200 NVL C3V3: up to eight in the 8DW variant, EPYC 9005 and C5WW. NVLink bridges pairs or groups of four; it is not a full eight-GPU NVSwitch fabric. Supply specifically to China, part numbers and terms need separate confirmation.

GPU support is published by the manufacturer. The selected model has not yet been tested.

Official specification

Manufacturer catalogue

Technical model detailsFormat, memory, exact version and sizing conditions

The original FP8 checkpoint requires a large GPU platform. Context memory, GPU distribution and the full configuration are sized for a specific workload.

WEIGHT FILES703.74 GiB

FORMATOfficial FP8

NATIVE CONTEXTNot confirmed in the review

Example technical selection: 4 simultaneous requests, 32K context, BF16 KV. These are example conditions, not your requirements. The original model format needs an expanded platform. A reduced format is considered only as a separate version. The native context limit is not confirmed here; the selected length needs testing.

Size is the sum of safetensors files, not measured memory use during inference. Context, buffers, loading and execution need additional resources.

Repository: zai-org/GLM-5.3
Revision: aca966e4e02791568aa6a4ced368624b3d897f42
File size: 755,632,050,320 bytes
Verified: 11 October 2026

Official model version Configure model and workload

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