Multi-GPU and Cloud Infrastructure refers to the use of multiple Graphics Processing Units (GPUs) along with cloud computing resources to accelerate large-scale computing and machine learning workloads. It enables parallel processing, allowing complex models and data-intensive tasks to run faster and more efficiently. Cloud infrastructure provides scalable resources on demand, while multi-GPU setups distribute workloads to improve performance and reduce training time. This combination is widely used in AI model training, deep learning, and big data analytics. It helps organizations handle large datasets without hardware limitations. It also improves cost efficiency by scaling resources only when needed.
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