Physix Frontier · News Briefing Card (IT Home · Sep 10, 2026)
DeepSeek V4.1 Flash Launches on National Supercomputing Internet
KEY FACTS
- The DeepSeek V4.1 Flash model has officially integrated with the National Supercomputing Internet platform.
- The model features a 552B parameter MoE architecture utilizing an asymmetric Causal structure.
- Compared to its predecessor, HBM requirements have dropped to one-quarter and SSD needs to one-eighth.
- After large-scale reinforcement learning post-training, it outperforms flagship models like V4 Pro in benchmarks.
KEY DATA
552BTotal Parameters
8BInput Activation
16BOutput Activation
To 1/4HBM Requirement Reduction
PHYSIX OBSERVATION
This move marks a critical breakthrough for domestic large models in infrastructure adaptation and inference cost optimization. By aggressively compressing KV Cache, it significantly lowers memory barriers for Agent scenarios, making high-performance models easier to deploy at scale. This is not just technical iteration but signals a shift in AI applications from 'competing on compute' to 'competing on efficiency,' benefiting small developers and edge-side intelligence deployment.
Source: IT Home report
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