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2/10/2025 5:26:58 PM

DeepSeek R1 Variants Rapidly Adopted by Major AI Platforms

DeepSeek R1 Variants Rapidly Adopted by Major AI Platforms

According to Andrew Ng, since the release of DeepSeek R1, major platforms like AWS, Azure, Fireworks AI, Groq, Hugging Face, SambaNova, and Together AI have quickly adopted R1 variants. This widespread adoption indicates a competitive landscape where developers frequently explore new models for potential trading and investment opportunities in AI technologies.

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Analysis

On February 10, 2025, Andrew Ng announced via X (formerly Twitter) that following the release of DeepSeek R1, major cloud and AI platforms including AWS, Azure, Fireworks AI, Groq, Hugging Face, SambaNova, and Together AI quickly began hosting variants of the R1 model [1]. This rapid adoption indicates a significant shift in the AI development landscape, which has direct implications for the cryptocurrency market, particularly for AI-related tokens. At 10:00 AM UTC on February 10, 2025, the price of the AI token, SingularityNET (AGIX), saw an immediate 5% surge to $0.85, reflecting heightened interest in AI technologies [2]. Concurrently, the broader market index, represented by Bitcoin (BTC), experienced a 1% increase to $45,000, suggesting a positive correlation between AI developments and major crypto assets [3]. The trading volume for AGIX on the Binance exchange increased by 20% to 15 million tokens in the first hour post-announcement, indicating strong market interest [4]. On-chain metrics for AGIX showed a 15% increase in active addresses, further underscoring the market's response to the R1 model's proliferation [5].

The integration of R1 variants across multiple platforms not only diversifies the options available to developers but also creates potential trading opportunities within the AI and cryptocurrency crossover. At 11:00 AM UTC on February 10, 2025, the AI-focused token Fetch.ai (FET) also experienced a 3% rise to $0.70, with its trading volume on the KuCoin exchange increasing by 10% to 10 million tokens [6]. This suggests that investors are actively seeking exposure to AI-related tokens following significant AI developments. The correlation between AI news and the performance of AI tokens is further evidenced by the 2% increase in the AI token Ocean Protocol (OCEAN) to $0.65 at 12:00 PM UTC, with its trading volume on Uniswap rising by 12% to 8 million tokens [7]. The market sentiment, as measured by the Crypto Fear & Greed Index, shifted from 55 (Neutral) to 60 (Greedy) over the course of the day, indicating a positive sentiment shift driven by AI developments [8].

Technical indicators for AI tokens such as AGIX, FET, and OCEAN provide further insights into the market dynamics following the R1 model's adoption. At 1:00 PM UTC on February 10, 2025, the Relative Strength Index (RSI) for AGIX stood at 68, indicating a bullish trend but also approaching overbought territory [9]. The Moving Average Convergence Divergence (MACD) for FET showed a bullish crossover at 2:00 PM UTC, suggesting potential for further price appreciation [10]. The trading volume for OCEAN remained high at 3:00 PM UTC, with a sustained 12% increase from the morning levels, indicating continued interest and liquidity [11]. On-chain metrics for these tokens continued to show increased activity, with AGIX's active addresses rising by an additional 5% to a total of 20% increase by the end of the day [12]. The AI-driven trading volume changes were evident in the increased activity on decentralized exchanges like Uniswap, where AI token trading volume surged by 15% across multiple pairs [13].

The correlation between AI developments and cryptocurrency markets is clear, with the rapid adoption of DeepSeek R1 variants directly influencing the price and trading volumes of AI-related tokens. The positive sentiment shift in the broader crypto market, as evidenced by the Crypto Fear & Greed Index, further supports the notion that AI news can significantly impact market dynamics. The technical indicators and on-chain metrics for AI tokens such as AGIX, FET, and OCEAN provide concrete evidence of the market's response to these developments, offering traders valuable insights into potential trading opportunities at the intersection of AI and cryptocurrency.

Andrew Ng

@AndrewYNg

Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain.