GopherCon 2025: Go Faster: Integrating CUDA in Go for GPU Acceleration - Sam Burns

Why watch

A practical talk demonstrating how to integrate NVIDIA's CUDA platform with Go using cgo to achieve GPU acceleration for compute-intensive tasks. Covers calling CUDA functions, managing memory transfers between CPU and GPU, debugging, and performance monitoring. Ideal for Go developers looking to leverage GPU power for machine learning and AI applications.