Unverified50% confidenceFactExact time
The production solution introduced by DeepSeek deploys visual encoding, prefill and decode separately, each with its own machines, so they can scale independently for different resource bottlenecks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/21/2026
First Seen
Valid until: 1/19/2027
Sources
Related Entities
Related Claims
UnverifiedThe new DeepSeek model adopts an encoder-decoder hybrid architecture, splitting the 40-layer network in the middle, with the bottom 20 layers serving as the encoder and the top 20 layers as the decoder.75% similarUnverifiedDeepSeek is the first organization to fully open-source the spatiotemporal composability programming paradigm featuring 'declarative dependencies + automatic orchestration'.72% similarUnverifiedThe six components have distinct roles: DeepGEMM accelerates general matrix operations, DeepEP handles large-scale cross-device communication, TileKernels provides common vector computation and memory access operators, FlashMLA provides sparse attention operators, and DeepSelect performs efficient data selection.72% similarUnverifiedDeepSeek adopts a PD-separated architecture, deploying the Pre-fill stage and the Decode stage on different machines: an 8-card server for reading the question and a 64-to-128-card supernode for writing the answer.72% similarUnverifiedDeepSeek bundled with the weights a minimalist PyTorch inference implementation covering the vision encoder and MoE structure.71% similar
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