Behind this blog is months of our team's work tuning vLLM on agentic workloads and validating on @SemiAnalysis_ AgentX benchmark. We find that open source models optimized for agentic workloads reach up to 130K tokens/GPU-sec, 106× cheaper than Opus 5 API pricing.
vLLM is the
New blog is out: vLLM x AgentX: Optimizing for Real-World Agentic Serving.
Agent traffic stresses every layer of the serving stack at once. This post walks the full-stack work for optimizing vLLM on Agentic workloads, including the architecture, framework, and runtime
