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