Original sourcekdnuggets.com
Summary
DeepSeek released the open-source model DeepSeek-V4.1-Flash, using a causal encoder-decoder (CED) and mixture-of-experts (MoE) architecture with CPA2/CSA2, FP4 KV cache, Engram memory, SWA bounded replay, single-pass multi-hop cache (mHC), and DSpark speculative decoding. The model is a 552B-parame…
Key points
- For self-hosting teams wanting to deploy agent models on their own hardware, an efficiency-first open-source architecture directly determines inference costs.
- Open-source model competition is shifting from peak accuracy to cost per token and inference efficiency, which will affect the feasibility of self-hosting and on-premises deployment.
- Developers can study its asymmetric prefill/decode compute, KV reuse, and sparse attention techniques for their own inference engines to lower operating costs.
Editorial note
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