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Agentic AI broke the inference stack. KV-cache misses, mismatched serving, and synthetic benchmarks that hide the real problem mean companies are burning through token budgets at 10–17× what they should be. SwarmSimulator is the only tool that produces honest benchmarks for agentic workloads at fleet scale - recording real agent traces, perturbing them to break artificial cache hits, and simulating hundreds of concurrent users. SwarmOptimizer wraps that engine in a continuous optimization loop: every layer of the stack, from cache policy to kernel selection to hardware allocation, auto-tuned to your actual workload. Any silicon, any cloud.