This comprehensive guide covers 100 essential GPU fundamentals, from basic definitions and architecture to core technologies, performance optimization, emerging trends, and industry developments, providing a complete technical foundation for graphics, AI, and high‑performance computing applications.
This article traces the GPU's journey from early 2D graphics cards to modern GPGPUs powering AI and HPC, explains core hardware components, compares GPU and CPU architectures, and details the 3D rendering pipeline that underlies graphics and parallel computation.
This article explains what a GPU (Graphics Processing Unit) is, how it differs from a CPU, its architecture and performance characteristics, and why it powers everything from real‑time rendering to AI inference, using examples like the NVIDIA RTX 3090.
This article explains the history, architecture, and operation of GPUs, and introduces major acceleration frameworks such as CUDA and OpenCL, highlighting their roles in parallel computing and modern graphics processing for scientific and AI workloads.
