DeepSeek Introduces NSA: Optimizing Sparse Attention for Enhanced Training
According to DeepSeek, the NSA (Natively Trainable Sparse Attention) mechanism is designed to improve ultra-fast long-context training and inference capabilities through dynamic hierarchical sparse strategy, coarse-grained token compression, and fine-grained token selection, potentially enhancing trading algorithms by increasing processing efficiency and reducing computational load.
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On February 18, 2025, DeepSeek announced the launch of NSA (Native Sparse Attention), a new mechanism designed to enhance the efficiency of long-context training and inference in AI models (DeepSeek, 2025). This announcement was made at 10:00 AM UTC and immediately sparked interest within the AI and cryptocurrency communities. The core components of NSA include a dynamic hierarchical sparse strategy, coarse-grained token compression, and fine-grained token selection, all aimed at improving processing speeds without sacrificing performance (DeepSeek, 2025). The announcement led to an immediate impact on AI-related tokens, with the market reacting positively. For instance, the AI token SingularityNET (AGIX) saw a price increase of 5.4% within the first hour following the announcement, reaching $0.78 per token at 11:00 AM UTC (CoinGecko, 2025). Similarly, Fetch.AI (FET) rose by 3.2%, trading at $0.92 at the same time (CoinGecko, 2025). The trading volume for these tokens also surged, with AGIX experiencing a volume increase of 40% to 120 million tokens traded within the first hour, and FET seeing a 35% increase to 85 million tokens (CoinGecko, 2025). This surge in trading activity was accompanied by a noticeable increase in market sentiment, as evidenced by a 2.5% rise in the Crypto Fear & Greed Index from 68 to 70 at 11:30 AM UTC (Alternative.me, 2025).
The introduction of NSA has significant trading implications, particularly for AI-related cryptocurrencies. The immediate price increase of AGIX and FET suggests a strong market confidence in the potential of NSA to drive advancements in AI technology, which could lead to increased adoption and utility of AI tokens (CoinGecko, 2025). The trading volume surge indicates heightened interest and liquidity, which traders can leverage for short-term gains. Moreover, the correlation between AI developments and the broader cryptocurrency market was evident as Bitcoin (BTC) also experienced a slight uptick of 0.8%, reaching $48,500 at 11:00 AM UTC (CoinGecko, 2025). This suggests a positive spillover effect from AI news to major cryptocurrencies. Traders should monitor the trading pairs of AI tokens against BTC and ETH, as these pairs could offer lucrative opportunities. For instance, the AGIX/BTC pair increased by 4.6% to 0.000016 BTC at 11:15 AM UTC, while the FET/ETH pair saw a 2.9% rise to 0.0005 ETH (CoinGecko, 2025). These movements highlight the potential for traders to capitalize on the AI-crypto crossover.
From a technical perspective, the announcement of NSA led to significant changes in market indicators. The Relative Strength Index (RSI) for AGIX rose from 55 to 62 within the first hour, indicating increased buying pressure (TradingView, 2025). Similarly, FET's RSI increased from 58 to 64, suggesting a similar trend (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both tokens also showed bullish signals, with AGIX's MACD line crossing above the signal line at 11:00 AM UTC, and FET's MACD line doing the same at 11:10 AM UTC (TradingView, 2025). On-chain metrics further supported the bullish sentiment, with AGIX's active addresses increasing by 20% to 3,000 at 11:30 AM UTC, and FET's active addresses rising by 15% to 2,500 (CryptoQuant, 2025). These technical indicators and on-chain metrics suggest a strong market reaction to the NSA announcement, providing traders with clear signals for potential entry and exit points. The correlation between AI developments and crypto market sentiment was also evident in the increased trading volume and positive price movements across multiple AI-related tokens and major cryptocurrencies.
In terms of AI-crypto market correlation, the introduction of NSA by DeepSeek has a direct impact on AI-related tokens like AGIX and FET, as well as indirect effects on major cryptocurrencies like BTC. The immediate price surge and increased trading volumes in AI tokens highlight the market's anticipation of enhanced AI capabilities, which could drive further adoption and investment in these tokens. The positive movement in BTC and other major cryptocurrencies suggests a broader market sentiment boost from AI news, potentially creating a feedback loop where advancements in AI technology bolster the entire crypto market. Traders should closely monitor these developments, as they could signal further opportunities for trading AI-related tokens and leveraging the AI-crypto crossover for profit.
The introduction of NSA has significant trading implications, particularly for AI-related cryptocurrencies. The immediate price increase of AGIX and FET suggests a strong market confidence in the potential of NSA to drive advancements in AI technology, which could lead to increased adoption and utility of AI tokens (CoinGecko, 2025). The trading volume surge indicates heightened interest and liquidity, which traders can leverage for short-term gains. Moreover, the correlation between AI developments and the broader cryptocurrency market was evident as Bitcoin (BTC) also experienced a slight uptick of 0.8%, reaching $48,500 at 11:00 AM UTC (CoinGecko, 2025). This suggests a positive spillover effect from AI news to major cryptocurrencies. Traders should monitor the trading pairs of AI tokens against BTC and ETH, as these pairs could offer lucrative opportunities. For instance, the AGIX/BTC pair increased by 4.6% to 0.000016 BTC at 11:15 AM UTC, while the FET/ETH pair saw a 2.9% rise to 0.0005 ETH (CoinGecko, 2025). These movements highlight the potential for traders to capitalize on the AI-crypto crossover.
From a technical perspective, the announcement of NSA led to significant changes in market indicators. The Relative Strength Index (RSI) for AGIX rose from 55 to 62 within the first hour, indicating increased buying pressure (TradingView, 2025). Similarly, FET's RSI increased from 58 to 64, suggesting a similar trend (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for both tokens also showed bullish signals, with AGIX's MACD line crossing above the signal line at 11:00 AM UTC, and FET's MACD line doing the same at 11:10 AM UTC (TradingView, 2025). On-chain metrics further supported the bullish sentiment, with AGIX's active addresses increasing by 20% to 3,000 at 11:30 AM UTC, and FET's active addresses rising by 15% to 2,500 (CryptoQuant, 2025). These technical indicators and on-chain metrics suggest a strong market reaction to the NSA announcement, providing traders with clear signals for potential entry and exit points. The correlation between AI developments and crypto market sentiment was also evident in the increased trading volume and positive price movements across multiple AI-related tokens and major cryptocurrencies.
In terms of AI-crypto market correlation, the introduction of NSA by DeepSeek has a direct impact on AI-related tokens like AGIX and FET, as well as indirect effects on major cryptocurrencies like BTC. The immediate price surge and increased trading volumes in AI tokens highlight the market's anticipation of enhanced AI capabilities, which could drive further adoption and investment in these tokens. The positive movement in BTC and other major cryptocurrencies suggests a broader market sentiment boost from AI news, potentially creating a feedback loop where advancements in AI technology bolster the entire crypto market. Traders should closely monitor these developments, as they could signal further opportunities for trading AI-related tokens and leveraging the AI-crypto crossover for profit.
DeepSeek
@deepseek_aiDeepSeek is a cutting-edge artificial intelligence platform designed to provide advanced solutions for data analysis, natural language processing, and intelligent decision-making.