ChainCatcher reports that, in the open-source announcement for DeepSeek V4.1 Flash, DeepSeek stated that organizations with 2,000 GPUs and storage clusters may contact them directly. V4.1 Flash remains open-sourced under the MIT License, with no additional licensing conditions tied to company revenue or business scale. Enterprises with sufficient resources can deploy it independently; contacting DeepSeek is more akin to direct technical collaboration for ultra-large-scale deployments. DeepSeek has not yet announced any official private deployment products or paid services. In the past, after open-sourcing its models, deployment and adaptation were primarily handled by inference frameworks such as SGLang and TensorRT-LLM, along with hardware vendors. This time, DeepSeek has proactively provided direct contact information for large-scale deployments and affirmed its ongoing commitment to supporting the open-source community in adapting new models for inference.
DeepSeek Provides Direct Contact for 2000-GPU Deployments
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Summary
DeepSeek announced a project in its V4.1 Flash open-source update, offering direct contact for companies with 2,000 GPUs and storage clusters. The model remains MIT-licensed, with no revenue-based restrictions. No formal private deployment product or paid service has been launched yet. Previously, deployment was managed through third-party frameworks such as SGLang and TensorRT-LLM. This partnership announcement signals a shift toward providing direct support for large-scale users while preserving access for the open-source community.
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