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NVIDIA NIM vs Triton vs vLLM: Choosing an Enterprise Inference Runtime Without Benchmark Theater

Introduction Enterprise inference standardization often begins with a benchmark chart. That is usually where the first mistake occurs. A team runs one model on one GPU configuration, increases concurrency until the system saturates, records the highest tokens-per-second result, and declares a winner. The result may be technically repeatable while still being operationally irrelevant. It says

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How to Roll Back AI Agents: Incident Response, Circuit Breakers, and Recovery Patterns

Agent incidents do not always look like outages. A traditional service incident might show up as latency, errors, saturation, failed deployments, or unavailable endpoints. Those still matter for AI agents, but they are not the whole story. An agent can be technically available and still create an operational incident. It might expose restricted data, call

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