DeepInfer
Named by 6 kept items in this workspace.
5 items name it under frameworks and tools and 1 under models.
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The items that name it 6
DeepSeek's open-source production inference framework combining speculative decoding, dynamic prefill sizing, decode balancing by request count and KV length, and CPU/GPU scheduling overlap.
DeepSeek's open-source (Apache 2.0) production inference engine behind V4.1 Flash; supports distributed inference, speculative decoding, SWA Bounded Replay, structured output, EP load balancing, async scheduling on NVIDIA SM100 and Huawei Ascend. KV-cache management, PD disaggregation and load balan
DeepSeek's open-source inference engine behind V4.1 Flash, built on vLLM. Supports distributed inference, speculative decoding, SWA Bounded Replay, structured output, batch-invariant inference and deterministic sampling on NVIDIA SM100 and Huawei Ascend 950. KV-cache management, prefill/decode disag
DeepSeek's internal inference stack, released publicly. Likely far more efficient than vLLM or SGLang for DeepSeek models; estimates put DeepSeek's gross margin on tokens served with it at up to 90%.
Open-source, high-performance inference framework that powers DeepSeek's large-scale production services. This release provides offline inference only, under the Apache License 2.0.
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