NVIDIA GPUs
NVIDIA GPUs (Graphics Processing Units) are specialized hardware accelerators designed for parallel processing, originally for rendering graphics but now widely used for general-purpose computing (GPGPU). They feature thousands of cores optimized for handling multiple tasks simultaneously, making them essential for high-performance computing, AI/ML workloads, and gaming. NVIDIA provides CUDA, a parallel computing platform and programming model, to leverage these GPUs for accelerated applications.
Developers should learn to use NVIDIA GPUs when working on computationally intensive tasks like deep learning, scientific simulations, or real-time graphics rendering, as they offer significant speedups over CPUs. They are crucial for training large AI models, running complex simulations in fields like climate science or finance, and developing high-fidelity games or VR applications. Knowledge of CUDA or related frameworks (like cuDNN) is often required to optimize performance in these domains.