CUDA

Routes are easy to describe and annoying to optimize. A manager says, “Send these vehicles to these customers, respect capacity, keep priority clients early in the route, and do not let transport cost grow linearly because the real world, regrettably, has opinions.” The sentence is simple. The optimization problem is not. One path leads to a mixed-integer model that looks respectable until the solver spends the budget proving very little. Another path leads to a specialized routing solver that is fast, polished, and suddenly offended by the custom rule you actually need. A third path leads to hand-written heuristics that work beautifully until the person who wrote them leaves. ...

Kernel Kombat: How Multi-Agent LLMs Squeeze 1.32× More From Your GPUs GPU bills have a charming way of turning “just one more model deployment” into a finance meeting. For companies running large language model serving stacks, the problem is rarely that nobody knows GPUs matter. Everyone knows. The harder problem is that performance bottlenecks often live inside kernels most executives will never see: attention merges, normalization fusions, activation multiplications, tiny pieces of code called millions or billions of times until “small inefficiency” becomes “why is the infrastructure budget wearing a crown?” ...