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Aravind Saji

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IIITKottayamĀ ā€¢Ā 1m

DeepSeek just shook the AI worldā€”and NVIDIA felt it. A single company wiped 17% off NVIDIAā€™s market capā€”thatā€™s $600B (~ā‚¹48,00,000 Cr)gone overnight. For perspective, thatā€™s: - More than the combined value of TCS, Reliance, and HDFC Bank - Bigger than the GDP of Pakistan, Sri Lanka, and Nepal combined - More than two decades of VC funding in India Why? AI training is insanely expensiveā€”OpenAI and others burn $100M+ a year on NVIDIAā€™s $35K GPUs. DeepSeek rewrote the rules: āœ… Slashed training costs from $100M ā†’ $5M āœ… Used ā€˜crippledā€™ NVIDIA GPUs (cheaper due to artificial limits) āœ… Created ā€˜expert clustersā€™ instead of training an entire model at once āœ… 95% cheaper API costsā€”runs on gaming GPUs, not data centers The impact? šŸš€ AI training isnā€™t just for billion-dollar giants anymore šŸš€ Smaller players can now build cutting-edge AI models šŸš€ NVIDIA & AI giants might lose their pricing power And the wildest part? DeepSeek made their research public. Now, anyone can replicate it. This isnā€™t just about AIā€”itā€™s a masterclass in innovation, cost-cutting, and first-mover advantage. If AI training costs drop 20x overnight, what happens next? šŸ‘‡ #AI #DeepSeek #Innovation #StartupLessons

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