DeepSeek-V4-Flash Overview

Description

The DeepSeek-V4-Flash NIM Container is a deployable inference container for serving DeepSeek-V4-Flash, a third-party sparse Mixture-of-Experts language model optimized for fast coding, reasoning, long-context, and agentic workflows. The container provides OpenAI-compatible APIs for self-hosted deployment through NVIDIA NIM.

This container image is classified as a Pre-Release candidate terms

Third-Party Community Consideration

The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA DeepSeek-V4-Flash Model Card.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software and Model Evaluation license; Use of this model is governed by the NVIDIA Open Model Agreement.

Additional Information: MIT License.

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

Deployment Geography:

Global

Release Date:

NGC 04/27/2026 via DeepSeek-V4-Flash NIM Container on NGC

Program Classes:

The DeepSeek-V4-Flash NIM Container includes the following model:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Model Name & Link	Use Case	How to Pull the Model
DeepSeek-V4-Flash	Text generation, coding, reasoning, long-context, and agentic tool-use workflows	Automatic (embedded in container)

Deployment Details

The DeepSeek-V4-Flash NIM Container exposes OpenAI-compatible APIs for integration into existing applications and workflows.

API Endpoints:

/v1/chat/completions - Chat completions
/v1/models - List available models
/health/ready - Health check

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):

Container Version(s):

1.10.0-variant

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.

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 Container page for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

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

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.

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The container provides OpenAI-compatible APIs for self-hosted deployment through NVIDIA NIM.\n\n*This container image is classified as a Pre-Release candidate [terms](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/)*\n\n## Third-Party Community Consideration\nThe model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA [DeepSeek-V4-Flash Model Card](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash).\n\n## License/Terms of Use:\n**GOVERNING TERMS:** The NIM container is governed by the [NVIDIA Software and Model Evaluation license](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-and-model-evaluation-license/); Use of this model is governed by the [NVIDIA Open Model Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-agreement/).\n\nAdditional Information: [MIT License](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/LICENSE).\n\n**You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.**\n\n## Deployment Geography:\nGlobal\n\n## Release Date:\n**NGC** 04/27/2026 via [DeepSeek-V4-Flash NIM Container on NGC](https://catalog.ngc.nvidia.com/orgs/nim/teams/deepseek-ai/containers/deepseek-v4-flash)\n\n## Program Classes:\n\nThe DeepSeek-V4-Flash NIM Container includes the following model:\n\n| Model Name & Link | Use Case | How to Pull the Model |\n|:------------------|:---------|:---------------------|\n| [DeepSeek-V4-Flash](https://catalog.ngc.nvidia.com/orgs/nim/teams/deepseek-ai/models/deepseek-v4-flash) | Text generation, coding, reasoning, long-context, and agentic tool-use workflows | Automatic (embedded in container) |\n\n## Deployment Details\n\nThe DeepSeek-V4-Flash NIM Container exposes OpenAI-compatible APIs for integration into existing applications and workflows.\n\n**API Endpoints:**\n* `/v1/chat/completions` - Chat completions\n* `/v1/models` - List available models\n* `/health/ready` - Health check\n\nOur 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.\n\n## Reference(s):\n* [DeepSeek-V4-Flash NVIDIA Model Card](https://catalog.ngc.nvidia.com/orgs/nim/teams/deepseek-ai/models/deepseek-v4-flash)\n* [DeepSeek-V4-Flash on HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash)\n\n## Container Version(s):\n1.10.0-variant\n\n## Ethical Considerations:\nNVIDIA 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.\n\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n# Get Help\n\n## Getting started with the NIM\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [NIM Container page](https://catalog.ngc.nvidia.com/orgs/nim/teams/deepseek-ai/containers/deepseek-v4-flash) for release documentation, deployment guides and more.\n\n## NVIDIA Developer Community Forum\nGet access to community knowledge base articles and support cases ([NVIDIA Developer Forums](https://forums.developer.nvidia.com/)).\n\n## Get Help\n\n### Getting started with the NIM\n\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [NVIDIA NIM documentation](https://docs.nvidia.com/nim/large-language-models/latest/about-nim-llm/overview.html) for release documentation, deployment guides and more.\n\n### NVIDIA Developer Community Forum\n\nFor support, visit the [NVIDIA Developer Community Forum](https://forums.developer.nvidia.com/).","DeepSeek-V4-Flash",["D",1777338751944],"Deepseek AI",[258,339],"/api/image/nim/deepseek-ai/containers/deepseek-v4-flash",15232588446,{"_314":315,"_316":317,"_318":319,"_320":26,"_321":322},"hasSignedTag",[308],[],[],[304],[],{"_96":305,"_156":305,"_157":306,"_159":307},"signed images",{"_161":307,"_156":305},"system",{"_96":309,"_156":310,"_157":311,"_159":312},"NVIDIA NIM","nimmcro_nvidia_nim",{"_161":313,"_156":310},"feature","nvidia_nim","governingTerms","

The NIM container is governed by theNVIDIA Software and Model Evaluation license; Use of this model is governed by theNVIDIA Open Model Agreement.Additional Information:MIT.

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The NIM container is governed by theNVIDIA Software and Model Evaluation license; Use of this model is governed by theNVIDIA Open Model Agreement.Additional Information:MIT.

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GOVERNING HOSTING TERMS

[Add container hosting terms here]

Instruction: The following model's nSpect legal request. Please review with the terms above. [Delete this instruction prior to approval]

ADDITIONAL INFORMATION:

DeepSeek-V4-Flash Model for Downloadable NIM (Downloadable NIM): Not Completed

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These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. 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