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How NVIDIA ignites The GPU-Driven AI Revolution?

-----A high level introduction to The GPU-Driven AI Revolution-----<br>Discover How Nvidia Chips Fuel Next-Gen AI Applications. ? Planning to build a GenAI application, our AI Advisory is here to help you build a great one!!.<br><br>What are It'sKey Factors?<br><br>Check our complete Iaas/Paas Migration: https://opstree.com/monitoring-platform-reliability-devops-sre/

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How NVIDIA ignites The GPU-Driven AI Revolution?

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  1. AI REVOLUTION?

  2. As AI titans like Google, openAI, Microsoft, Meta and other players battled, the question loomed: Who powered their AI prowess? The answer was Nvidia chips

  3. Nvidia's GPUs play a pivotal role in empowering AI across a spectrum of applications. Here’s how! Tensor Cores for AI Workloads: GPUs enhance the processing of tensor operations commonly used in AI workloads. This results in faster computations. Real-time Ray Tracing for Enhanced Graphics: GPUs also improve the visual quality of graphics in AI-driven gaming applications.

  4. But why GPU over CPU? Unlike traditional CPUs, GPUs excel at handling multiple tasks simultaneously, making them tailor- made for the complex computations required in AI applications.

  5. And that's not all! While Nvidia rides the AI wave, its GPUs are in high demand in booming sectors like : Machine learning Cyber Security VR/AR Big Data Gaming Crypto Autonomous Travel When these sectors thrive, so does Nvidia.

  6. The GPU market is projected to grow from USD 14.3 billion in 2023 to USD 63.0 billion by 2028, at a CAGR of 34.6%. 63 USD Billion 70 60 50 40 30 20 10 0 2023 2026 2028 Source: https://www.marketsandmarkets.com/ResearchInsight/data-center-gpu-market.asp

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