DeepSeek open-sources new tool to slash AI costs in ‘fight’ against closed-source rivals
Chinese artificial intelligence start-up DeepSeek has fully open-sourced an internally developed framework designed to run AI models efficiently, as a senior researcher at the company described the growing divide between open-source and closed-source AI as a battle between “light and darkness”. The company on Tuesday released DeepInfer, an inference framework tailored to support its…
Chinese artificial intelligence start-up DeepSeek has fully open-sourced an internally developed framework called DeepInfer, which is designed to efficiently run AI models such as its DeepSeek-V4.1-Flash model. The open-source release of DeepInfer aims to slash AI costs and reduce energy consumption by making the technology more affordable.
DeepSeek-V4.1-Flash is an open-weight model that allows third-party cloud providers to serve it on their own infrastructure, enabling the open-sourcing of DeepInfer. The inference framework aims to optimise the serving and running of AI models while retaining previously processed information for more than 72 hours, thus reducing repeated computation and improving cost-efficiency.
DeepSeek's latest open-source release comes amid intensifying competition between open-source and closed-source AI, with Chinese AI companies continuing to roll out more open-weight model upgrades, challenging US rivals like Anthropic and OpenAI.
Written by urgent.news from South China Morning Post's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
