The NVIDIA V100 is a high-performance graphics processing unit (GPU) designed for artificial intelligence (AI), deep learning, and high-performance computing (HPC) tasks. It is part of the NVIDIA Volta architecture and features 5120 CUDA cores, enabling it to handle complex computations efficiently. The V100 supports Tensor Cores, which accelerate deep learning training and inference. With 16 or 32 GB of high-bandwidth memory (HBM2), the V100 can manage large datasets and models, making it suitable for data centers and research institutions. Its performance is optimized for both single and mixed-precision calculations, enhancing versatility in various applications, from scientific simulations to machine learning.