Go Unlocks Direct GPU Computing, Bypassing cgo Overhead

Go has excelled at building scalable backend infrastructure but has struggled with GPU integration, forcing teams to maintain separate Python services as GPU workers. By loading the CUDA Driver API dynamically at runtime rather than through cgo, Go developers can now build GPU-accelerated applications with all the language's deployment advantages—single binary, no C toolchain dependencies—while eliminating the architectural complexity and deployment overhead of multi-service setups.