This turbo container houses the Kimi K2.5 model which is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base.
Kimi k2.5-Turbo Container Overview
Description:
This turbo container houses the Kimi K2.5 model which is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base. It seamlessly integrates vision and language understanding with advanced agentic capabilities, supporting both instant and thinking modes, as well as conversational and agentic paradigms.
This turbo NIM container has following optimizations added -
- FP8 KV cache
- NVFP4 checkpoint
- Expert parallelism
- New FlashInfer attention kernels for backend
- Optimized serving config (batches/tokens)
The container components are ready for commercial use.
License/Terms of Use:
GOVERNING TERMS: Use of this NIM is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products and. Use of this model is governed by the NVIDIA Open Model License Agreement. Additional Information: Modified MIT.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
Kimi k2.5 Turbo NIM:
The Kimi k2.5-Turbo Container includes the Kimi k2.5 model.
| Model Name | Use Case | How to Pull the Model |
|---|---|---|
| Kimi k2.5-turbo | 1T multimodal MoE for high‑capacity video and image understanding with efficient inference. | Automatic |
Deployment Details:
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.
Visit the NVIDIA NIM for VLM page for release documentation, deployment guides and more.
Container Version(s):
nvcr.io/nim/moonshotai/kimi-k2.5-turbo:1.0.0
nvcr.io/nim/moonshotai/kimi-k2.5-turbo:latest
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
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. When downloaded or used in accordance with our terms of service, 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.
Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.
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 VLM NIM page for release documentation, deployment guides and more.
NVIDIA Developer Community Forum
Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NVIDIA NIM documentation for release documentation, deployment guides and more.
NVIDIA Developer Community Forum
For support, visit the NVIDIA Developer Community Forum.