Deepseek Launches Open‑Source Inference Engine DeepInfer
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Deepseek has released the open‑source inference engine DeepInfer, built on top of vLLM and designed for distributed processing. The framework aims to cut the cost and energy consumption of running large language models. By making the engine publicly available, Deepseek intends to help the community lower compute expenses, while also putting pricing pressure on Western AI vendors.
Written with AI from the reporting · updated 10/20/2026
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New at this step ·Deepseek Open‑Sources DeepInfer, an Optimized Inference Engine for Its V4.1‑Flash Model
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1 developments10/21/2026, 3:45:12 AM
Deepseek Open‑Sources DeepInfer, an Optimized Inference Engine for Its V4.1‑Flash ModelThe Decoder
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- 1Oct 21, 00:00recorded Oct 21, 03:45single sourcerevised
Deepseek 开源 DeepInfer 推理引擎
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- The Decoder · Oct 21, 02:56Deepseek Open‑Sources DeepInfer, an Optimized Inference Engine for Its V4.1‑Flash Model
Deepseek has released DeepInfer, an open‑source inference framework under the Apache License 2.0, designed to run its V4.1‑Flash model quickly and cheaply at scale. Built on vLLM with custom compute kernels and distributed processing across multiple chips, DeepInfer also includes a recipe that mimics the official Deepseek API token processing for self‑hosted deployments. The company says the move will lower compute costs, reduce energy use, and make AI more affordable, while also adding pricing pressure on Western providers such as OpenAI and Anthropic.
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- The DecoderSelectedDeepseek Open‑Sources DeepInfer, an Optimized Inference Engine for Its V4.1‑Flash Model
Deepseek has released DeepInfer, an open‑source inference framework under the Apache License 2.0, designed to run its V4.1‑Flash model quickly and cheaply at scale. Built on vLLM with custom compute kernels and distributed processing across multiple chips, DeepInfer also includes a recipe that mimics the official Deepseek API token processing for self‑hosted deployments. The company says the move will lower compute costs, reduce energy use, and make AI more affordable, while also adding pricing pressure on Western providers such as OpenAI and Anthropic.