https://lesitedefrancois.be/en/tags/machine-learning/Recent content in Machine-Learning on Le Site de FrançoisHugo -- gohugo.ioen© 2026 Françoishttps://lesitedefrancois.be/en/ai/gpu/Mon, 01 Jan 0001 00:00:00 +0000https://lesitedefrancois.be/en/ai/gpu/<p>A <strong>GPU (Graphics Processing Unit)</strong> is a specialized processor designed to execute a very large number of arithmetic operations in parallel. Its original objective was real-time rendering; in modern <strong>AI</strong> and <strong>HPC</strong> infrastructure the same silicon is used to accelerate matrix multiplications, convolutions, and other kernels that dominate neural network training and inference. Unlike a general-purpose host, a GPU optimizes for <strong>throughput</strong>: many warps or wavefronts hide memory latency while the device keeps SIMD units busy. In a data-center stack, GPUs typically sit in PCIe or NVLink-attached servers (or on integrated AI appliances) and are scheduled by frameworks such as PyTorch, TensorFlow, or vLLM through a runtime such as <strong>CUDA</strong> or ROCm.</p>