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Hello everyone, Do you think NVIDIA is the king of the artificial intelligence industry? With the need for GPUs in AI deployment and processing, will NVIDIA continue to dominate the market? Let me know your thoughts.🤔🙂

AI is changing how we live and Nvidia is leading AI Nvidia becomes the first company to achive a market capitalisation of $4 trillion dollars as the shares rose up by 2% It was simple, whoever will dominate on AI will lead the future. Nvidia achiev

Nvidia right now: “If we don’t sell you GPUs, we’ll just 💸 fund you to buy them.” Capitalism, but make it circular 😂 #AI #StartupHumor #FounderLife

NVIDIA isn’t just a chipmaker—it’s the brain behind the AI revolution. From powering gaming graphics to training ChatGPT-like models, NVIDIA mastered one thing: timing. While others saw GPUs as gaming tools, NVIDIA saw them as the future of computing

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The AI chip war is coming, with players like NVIDIA, Samsung Semiconductor, Rebellion, OpenAI, Huawei, and Qualcomm. Who do you think will dominate? Many Investment Banking Institutions are investing Billions of Dollars in AI Chips Companies like Ti

NVIDIA just pledged up to $100B to OpenAI to build out multi GW AI data centers with millions of GPUs, marking one of the biggest infrastructure bets in AI history.. This isn’t just scale – it’s a signal: GPU power will be the backbone of who leads t

Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p

India to build its own foundational AI model 🔥 The foundational models made in India will be able to compete with the best of the best in the world,” electronics and information technology minister Ashwini Vaishnaw said at a press briefing on Thur

NVIDIA is cashing in on the AI gold rush by selling shovels to tech giants ‼️ GPUs are essential in training complex neural networks, and NVIDIA's accelerate AI adoption worldwide. Their processors power 90% of supercomputers and are used by every m