DeepSeek open-sources inference framework DeepInfer
A Chinese-language tech report says DeepSeek has open-sourced its inference framework DeepInfer. The report states this is not a model but the middle layer that determines compute costs and electricity bills, describing it as the final piece of the serving chain. It says that when large numbers of users call the service, the inference framework coordinates and schedules large compute clusters, and its efficiency directly determines AI service compute cost and electricity cost. The report notes that ordinary users do not feel this layer, though it operates every day, framing training as making models \"learn\" and inference as making them \"usable.\" The excerpt provides no version number, license, repository link, release date, or performance benchmarks, and no publisher is identified in the supplied text.
The report frames DeepInfer as the serving-layer component that determines compute and electricity costs for large-scale AI services, describing its open-sourcing as completing the serving chain. It offers no license, repository, or benchmark details, so its practical reuse cannot be assessed from the supplied text.
DeepSeek 把压箱底的推理框架开源了。这次不是模型，是那个决定算力成本和电费多少的中间层——DeepInfer。推理框架这个角色，普通用户感受不到，但它每天都在起作用。
训练让模型「学有所成」，推理让模型「为人所用」——海量用户调用时，是推理框架在统筹调度庞大的算力集群，它的效率直接决定 AI 服务的算力成本和电...