A deployed modular inference architecture for compound AI systems cut tail latency over 50%, boosted throughput up to 3.9x, and reduced costs 30-40% while handling multi-model agent workloads.
The Shift from Models to Compound AI Systems
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Scalable Inference Architectures for Compound AI Systems: A Production Deployment Study
A deployed modular inference architecture for compound AI systems cut tail latency over 50%, boosted throughput up to 3.9x, and reduced costs 30-40% while handling multi-model agent workloads.