GPGPU

Redirecting massive parallel workloads from the CPU to the GPU's high-density core arrays for accelerated compute.

GPGPU transforms the graphics card into a high-performance engine for non-graphical data. While a CPU handles complex serial logic, the GPU uses thousands of efficient cores (like those in an NVIDIA H100) to process massive datasets in parallel. This architecture is the backbone of modern AI: it powers LLM training, molecular modeling, and high-frequency trading. By using frameworks like CUDA or OpenCL, engineers tap directly into hardware throughput to solve problems that would stall traditional processors. It is the standard for any workload requiring extreme floating-point performance.

https://developer.nvidia.com/cuda-zone