z-AI
glm-5.3-flash
Container
z-AI
glm-5.3-flash

The GLM-5.3-Flash NIM container provides OpenAI-compatible inference APIs for deploying GLM-5.3-Flash on NVIDIA GPU-accelerated systems. It uses vLLM and includes NVIDIA Dynamo 1.4.1 in the same container.

GLM-5.3-Flash NIM Overview

Description

The GLM-5.3-Flash NIM container provides OpenAI-compatible inference APIs for deploying GLM-5.3-Flash on NVIDIA GPU-accelerated systems. It uses vLLM and includes NVIDIA Dynamo 1.4.1 in the same container.

This model is ready for commercial or non-commercial use.

Third-Party Community Consideration

The model embedded in the container is not owned or developed by NVIDIA. It was developed by Z.ai; see link to Non-NVIDIA GLM-5.3-Flash Model Card.

License/Terms of Use:

GOVERNING DOWNLOAD TERMS: Use of this container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography

Global

Release Date

NGC 08/31/2026 via GLM-5.3-Flash NIM Container on NGC

Program Classes

The GLM-5.3-Flash NIM Container includes the following model:

Model Name & LinkUse CaseHow to Pull the Model
GLM-5.3-FlashCoding, reasoning, agentic, long-context, and multimodal workloads.Automatic (embedded in container)

Deployment Details

The container exposes an OpenAI-compatible /v1/chat/completions endpoint for text and multimodal inference.

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Reference(s)

Ethical Considerations

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Please make sure you have proper rights and permissions for all input image and video content; if image or video includes people, personal health information, or intellectual property, the image or video generated will not blur or maintain proportions of image subjects included.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM documentation for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (NVIDIA Developer Forums).

Publisher
z-AI
LicenseNVIDIA proprietary
Latest Tag2.1.2-variant
UpdatedSeptember 2, 2026 UTC
Compressed Size12.26 GB
Multinode SupportNo
Multi-Arch SupportYes