A specialized type of processor is designed to accelerate the creation and rendering of images, videos, and animations. It contains many small, powerful cores that are optimized to perform the complex mathematical calculations needed to create and display graphics. These cores are designed to perform the same type of calculations over and over again in parallel, making them well-suited to tasks such as rendering 3D graphics, video decoding and encoding, and machine learning.
Key Features
- High core count: Modern Graphics Processing Unit (GPU) have thousands of cores, allowing them to perform many calculations simultaneously.
- VRAM: A large amount of memory, known as video RAM (VRAM), stores the images and other data that the GPU is working on.
Applications
- Gaming: GPUs are essential for rendering high-quality graphics in video games.
- AI and ML: GPUs are increasingly used for artificial intelligence (AI) processing and model training due to their ability to accelerate linear algebra calculations.
- Scientific computing: GPUs are used in cloud-based environments, such as AWS and GCP, to provide GPU-accelerated instances for tasks like deep learning and scientific computing.
Manufacturers
- Nvidia: One of the leading manufacturers of GPUs, known for their high-performance graphics cards.
- AMD: Another major manufacturer of GPUs, offering a range of graphics cards for different needs.
