DeepSeek's Liang Wenfeng Unveils NSA: A Game-Changing Attention Architecture

DeepSeek's NSA introduces a fast, hardware-aligned sparse attention mechanism for efficient long-context training and inference in large models.

Feb 18, 2025

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DeepSeek's New Paper is Here! The related news, just posted on 𝕏, has already attracted a huge amount of user traffic.

According to reports, DeepSeek’s new paper introduces a novel attention mechanism — NSA.

This is a locally trainable sparse attention mechanism designed for ultra-fast long-context training and inference, with features that align well with the hardware.

Just five hours after the release of the new research, it had nearly 730,000 views.

At this point, it seems DeepSeek's achievements are getting more attention than OpenAI’s.

It’s worth mentioning that Liang Wenfeng, founder of Huansquare Technology and DeepSeek, is also one of the authors of the paper. This has become a hot topic among many online users.

Next, let’s take a look at the research that Liang Wenfeng personally participated in and what it’s about.

AI Disruption

DeepSeek's Liang Wenfeng Unveils NSA: A Game-Changing Attention Architecture

DeepSeek's NSA introduces a fast, hardware-aligned sparse attention mechanism for efficient long-context training and inference in large models.

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