InferenceForge: Agents Optimizing Agentic Serving, 43% Higher Throughput

kaiwei_chang · x · 2026-11-14

InferenceForge is an agentic system that profiles, benchmarks, and optimizes LLM inference: it iteratively analyzes workloads, identifies bottlenecks, implements optimizations, and validates improvements. On the SemiAnalysis AgentX benchmark it achieves 43% higher throughput than the best published baseline under the same latency SLA, and it discovers bottlenecks specific to agent traffic where a few very long contexts coexist with many short requests.

Related event: InferenceForge: Coding Agents Auto-Optimize LLM Inference, Beating Best Baseline by 43%(3 posts)→

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