DeepSeek Open-Sources DeepInfer Inference Framework
DeepSeek releases DeepInfer under the Apache 2.0 license, powering DeepSeek-V4.1-Flash with support for NVIDIA SM100 and Huawei Ascend 950.
Stock photo for illustration only, not from the actual event
- DeepSeek open-sources the DeepInfer framework under Apache 2.0
- Serves as the production inference backend for DeepSeek-V4.1-Flash
- Engineered for NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs
- Currently ships exclusively with offline inference capabilities
DeepSeek has officially open-sourced DeepInfer, an inference framework released under the Apache 2.0 license that acts as the core production backend powering DeepSeek-V4.1-Flash. The release marks a significant step in sharing the company's internal infrastructure tools with the broader developer community.
In terms of hardware compatibility, DeepInfer is specifically targeted at high-performance accelerators. The framework provides native support for NVIDIA SM100 GPUs as well as Huawei Ascend 950 NPUs, allowing engineering teams to optimize their workloads across different silicon architectures.
Releasing a production-grade inference framework as open source demonstrates DeepSeek's commitment to ecosystem transparency. By supporting both NVIDIA hardware and alternative accelerators like Huawei Ascend, the framework addresses hardware diversification needs for large-scale AI deployments.
Stock photo for illustration only, not from the actual event
Regarding its operational scope, DeepInfer currently ships with support for offline inference only. This configuration makes it well-suited for batch processing and backend computational workloads that do not require real-time interactive response times.
This release provides developers and researchers with direct access to the same foundational tooling used in production environments, paving the way for further customization and performance tuning in large language model operations.
Source: MarkTechPost
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