Explore GPU-style parallel programming in Julia through this 54-minute conference talk from JuliaCon Local Paris 2025. Learn how KernelAbstractions.jl enables you to write parallel kernels once and execute them across different hardware platforms, from GPUs accelerating AI workloads to multi-core CPUs. Discover solutions to the challenges of writing code that effectively harnesses parallel computing power across diverse hardware architectures. Gain insights into modern computing's reliance on parallelism and understand how Julia's ecosystem addresses the complexity of cross-platform parallel programming through unified kernel abstractions.