7 min readJust now
–
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Home DataCenter will become the future
Everyone talks about AI models. Bigger, smarter, faster. But none of it exists without the machines underneath. Nowadays, AI infrastructure is fragmenting in two directions at once. On one end, hyperscalers and frontier labs are building city-scale AI supercomputers pulling hundreds of megawatts from the grid. On the other, AI compute is collapsing inward, becoming smaller, local, and developer-owned. Same goal. Same physics. Totally different scale. And most people still underestimate how hard that actually is.
AI Data Center & AI Supercomputer
Let’s start with the company that still sits at the center of everything: NVIDIA. Before anyone could escape GPUs… NVID…
7 min readJust now
–
Press enter or click to view image in full size
Home DataCenter will become the future
Everyone talks about AI models. Bigger, smarter, faster. But none of it exists without the machines underneath. Nowadays, AI infrastructure is fragmenting in two directions at once. On one end, hyperscalers and frontier labs are building city-scale AI supercomputers pulling hundreds of megawatts from the grid. On the other, AI compute is collapsing inward, becoming smaller, local, and developer-owned. Same goal. Same physics. Totally different scale. And most people still underestimate how hard that actually is.
AI Data Center & AI Supercomputer
Let’s start with the company that still sits at the center of everything: NVIDIA. Before anyone could escape GPUs… NVIDIA made them smaller, faster, and personal.
You see, compared to a CPU, which focuses on a few powerful cores optimized for sequential logic and control, a GPU is built to run thousands of operations in parallel. That makes GPUs perfect for graphics, gaming, and 3D rendering, and it turns out, even better for machine learning and AI workloads.
NVIDIA built its entire empire on this idea and grew into a multi-trillion-dollar company. Today, AI literally runs on NVIDIA.