The DeepSeek WeChat official account cover mistakenly wrote "inclusive" as "HP", having previously open-sourced the inference framework DeepInfer
The cover of the DeepSeek WeChat official account article "DeepSeek Open-Sources Its Inference Framework: Toward a Truly Inclusive Future" mistakenly typed "inclusive" as "HP", colliding with the computer brand HP (Hewlett-Packard); the cover has now been corrected back to "Toward a Truly Inclusive Future". The article announced that DeepSeek will fully open-source its internal core inference framework DeepInfer, making public to the community the underlying inference engine and deployment solution that support large-scale online services, helping developers and enterprises improve throughput, reduce latency, and build private or public cloud AI services.
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Awkward! DeepSeek Official Account Cover Makes a Blunder: 'Inclusive' Becomes 'HP'
Kuai Technology Download the App for Exclusive Early Access October 22, 2026, 17:31:26 From Henan Updated October 22, 2026, 18:34:38
Kuai Technology, October 22 — A rather dramatic little episode has recently emerged in the AI world: before anyone could carefully study the technical details of an official DeepSeek announcement post, it went viral because of a typo on its cover.
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Many netizens let their imaginations run wild, joking that DeepSeek had inadvertently given HP a free wave of traffic and advertising; others playfully called on HP executives to seize the opportunity and approach DeepSeek to discuss a partnership.
The amusing mistake was quickly spotted by the official team, and the cover image has now been urgently corrected, with the text restored to "Toward a Truly Inclusive Future," bringing the little blunder to a happy ending.
Jokes aside, the real focus of this incident is the significance of the article itself. DeepSeek recently officially published a post announcing the full open-sourcing of its core internal inference framework, DeepInfer.
Developers familiar with DeepSeek's pace know that this team has been continuously doubling down on the open-source track, having previously released multiple large models, the TileLang compilation toolchain, and accompanying inference operator libraries.
This time, they have directly made public the underlying inference engine that supports large-scale online services, offering a full set of deployment solutions honed in production environments — a display of full sincerity.
The official announcement cited the saying "Do good deeds together with others, and share clever skills with others" to explain its original intent. Simply put, for large models to be deployed, strong model parameters alone are not enough; the inference framework is the key to determining throughput, latency, and computing bills.
Many small and medium-sized teams and enterprises have obtained open-source large models but are stuck at the deployment stage: they cannot handle high-concurrency requests, latency fluctuates widely, and computing costs remain high, with the costs of private deployment and public cloud launch deterring many players.
DeepInfer's open-sourcing targets exactly this pain point. DeepSeek hopes to share the large-scale inference optimization experience accumulated in internal real-world practice with the entire community, helping developers and enterprises optimize online service metrics, increase throughput, reduce response latency, and smoothly build private or public cloud AI services.
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