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Technology

GPUs

A parallel processing powerhouse: GPUs (Graphics Processing Units) accelerate high-demand workloads like 4K gaming, deep learning AI (e.g., LLMs), and scientific simulation via thousands of specialized cores.

The GPU is a specialized electronic circuit designed for massive parallel processing, fundamentally shifting from its original role in 3D graphics rendering to general-purpose computing (GPGPU). Unlike a CPU's few powerful cores, a GPU employs thousands of smaller, efficient cores (like NVIDIA's CUDA cores) to handle simultaneous calculations, which is critical for modern workloads. This architecture drives performance in high-fidelity gaming (4K/VR), video editing, and especially in AI/Machine Learning: the Tensor Cores, for instance, deliver significant FLOPS for training large language models (LLMs). GPUs are now the core engine for high-performance computing (HPC) and data centers.

https://en.wikipedia.org/wiki/Graphics_processing_unit
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