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Aravind Saji
ย โขย
IIITKottayamย โขย 3m
DeepSeek just shook the AI worldโand NVIDIA felt it. A single company wiped 17% off NVIDIAโs market capโthatโs $600B (~โน48,00,000 Cr)gone overnight. For perspective, thatโs: - 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 expensiveโOpenAI and others burn $100M+ a year on NVIDIAโs $35K GPUs. DeepSeek rewrote the rules: โ Slashed training costs from $100M โ $5M โ Used โcrippledโ NVIDIA GPUs (cheaper due to artificial limits) โ Created โexpert clustersโ instead of training an entire model at once โ 95% cheaper API costsโruns on gaming GPUs, not data centers The impact? ๐ AI training isnโt just for billion-dollar giants anymore ๐ Smaller players can now build cutting-edge AI models ๐ NVIDIA & AI giants might lose their pricing power And the wildest part? DeepSeek made their research public. Now, anyone can replicate it. This isnโt just about AIโitโs a masterclass in innovation, cost-cutting, and first-mover advantage. If AI training costs drop 20x overnight, what happens next? ๐ #AI #DeepSeek #Innovation #StartupLessons
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