Why is it in the news?
GPU evolved from a gaming component to core infrastructure for AI and digital economy.
Highlights importance in AI, ML, and high-performance computing.
Category: Science and Technology
Important Points:
● GPU performs massive parallel processing of simple calculations
● 1920×1080 screen at 60 fps requires processing 120+ million pixels/sec
● Rendering pipeline: vertex processing, rasterisation, fragment shading, frame buffer writing
● Uses high-bandwidth VRAM for rapid data transfer
● GPUs differ from CPUs in microarchitecture and parallel cores
● High-end GPUs contain more transistors and larger die size
● Nvidia holds ~90% share in discrete GPU market
● CUDA platform enables general-purpose GPU computation
● Used extensively in AI and machine learning workloads
● India initiatives: IndiaAI Mission, India Semiconductor Mission