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This Single Chip Holds 208 Billion Transistors! 😳 #nvidia #ai #trending #shorts #viral #gpu #chips Analytics Table
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About This Single Chip Holds 208 Billion Transistors! 😳 #nvidia #ai #trending #shorts #viral #gpu #chips
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This single chip holds 208 billion transistors. 🤖💰 This is NVIDIA’s Blackwell, the GPU built to train and run the world’s biggest AI models. It has so many transistors (208 billion) that they don’t fit on one piece of silicon. Instead, Blackwell is made from two dies of 104 billion transistors each, joined by a 10 TB/s link so the pair behaves like one giant chip. Why two? Each die is already at the reticle limit, the largest size the machines that print chips can pattern in one go. So NVIDIA stitched two maximum-size dies together. Blackwell builds on the Hopper GPUs (H100 and H200) that powered the generative-AI boom. It adds faster memory, support for low-precision FP4 math, and NVLink connections that let thousands of GPUs work together. Jensen Huang estimated each chip would sell for around $30,000 to $40,000. When he held it up on stage and said “$10 billion,” he was referring to roughly what NVIDIA spent developing it. 🤖 Like if this blew your mind 🔔 Subscribe for more tech 💬 Comment: what would you build with one? #nvidia #blackwell #ai #gpu #technology #chips #semiconductors #artificialintelligence #datacenter #tech
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