What are CUDA Cores?

CUDA Cores are the individual processing units inside NVIDIA GPUs that execute floating-point and integer arithmetic operations. A single GPU can contain thousands of CUDA cores working in parallel.

What Is CUDA Programming

CUDA programming is how developers write code that runs on NVIDIA GPUs instead of only on the CPU. It breaks work into many parallel threads so thousands of CUDA cores can execute at once, which is ideal for vector math and ML workloads.

Basic CUDA Programming Example

Below is a tiny PyTorch example that runs on the GPU. Each element-wise add is split across many CUDA cores, so the work happens in parallel.

# A simple vector add — each CUDA core handles one element
import torch
a = torch.randn(1_000_000, device="cuda")
b = torch.randn(1_000_000, device="cuda")
c = a + b  # distributed across CUDA cores

NVIDIA GPU CUDA Core Comparison

See Also

• GPU
• Tensor Cores
• Warp