{"id":16679,"date":"2026-03-02T12:49:16","date_gmt":"2026-03-02T12:49:16","guid":{"rendered":"https:\/\/www.esds.co.in\/blog\/?p=16679"},"modified":"2026-03-10T10:35:21","modified_gmt":"2026-03-10T10:35:21","slug":"the-rise-of-gpus-the-new-backbone-of-ai-development","status":"publish","type":"post","link":"https:\/\/www.esds.co.in\/blog\/the-rise-of-gpus-the-new-backbone-of-ai-development\/","title":{"rendered":"The Rise of GPUs: The New Backbone of AI Development"},"content":{"rendered":"\n
\"Why<\/figure>\n\n\n\n

For years, AI professionals measured the success of the domain in terms of better algorithms, larger datasets and more capable models. Compute was secondary. Today, large-scale computing power is a primary detail, especially for organizations that train and deploy AI models. GPUs were once treated as add?ons rather than the core engines behind AI. But today, they are a primary resource behind modern AI. GPUs determine how fast models can be trained, how large they can grow and who can build them. Compute was an enabler, but now it is a constraint.<\/p>

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