#R1Model

@getnews-me.bsky.social

5 months ago

DeepSeek Trains Competitive AI Model for Under $300K

DeepSeek says its R1 language model was trained for $294,000 on 512 Nvidia H800 GPUs, showing competitive performance on a modest budget. The announcement came in September 2025. Read more: getnews.me/deepseek-trains-competit... #deepseek #r1model #ai

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TechEbo

@techebo.bsky.social

5 months ago

DeepSeek AI Training Cost: R1 Built for $294,000 - TechEbo.com DeepSeek AI training cost shocked the world. Discover how China built the R1 model for just $294,000 and its link to brain-scanning AI.

techebo.com/deepseek-ai-... DeepSeek AI Training Cost: R1 Built for $294,000

#DeepSeek #DeepSeekAI #AITrainingCost #R1Model #ChineseAI #AffordableAI #AIMilestone #NvidiaH800 #BrainLLM #CentaurAI #TechEbo #news #AIInnovation #FutureOfAI

@techebo.bsky.social

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The World

@theworldeng.bsky.social

9 months ago

China’s DeepSeek updates its R1 AI model, nearly matching OpenAI’s o4 mini in coding tasks. #AI #DeepSeek #ChinaTech #OpenAI #R1Model #TechNews

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Tech Insights

@techinsights.bsky.social

1 year ago

DeepSeek's R1 Model Disrupts Global AI Landscape, Signals China's AI Innovation Leap

Jim Cramer highlights the impact of DeepSeek's emergence on the AI industry, potentially signaling a new phase of innovation

🚀 Chinese AI startup DeepSeek just built a GPT competitor for only USD 6M (1% of GPT-3's cost) - causing Nvidia stock to drop 17% & catching Silicon Valley's attention! Game-changing moment in AI? 🤔
biggo.com/news/202502060202_DeepSe...

#DeepSeekAI #R1model

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C. MICHEL WEINBERG ✡️

@cmichelw.bsky.social

1 year ago

How the buzz around Chinese AI model DeepSeek sparked a massive Nasdaq sell-off DeepSeek's emergence is shaking up investor confidence of the AI story that has been lifting the U.S. bull market in the past two years.

#Tech #investor #ChamathPalihapitiya on #X pointed to #DeepSeek’s “very good” report, which said its #R1model “essentially cracked one of the holy grails of AI: getting models to reason step-by-step without relying on massive supervised datasets.” cnb.cx/4aGEdqc #AImodel