December 2025 Update: Stripe achieving 73% inference cost reduction via vLLM migration (50M daily API calls on 1/3 GPU fleet). PagedAttention eliminating 60-80% memory waste from KV cache fragmentation. vLLM delivering 2-24x throughput vs conventional serving. Powering production at Meta, Mistral AI, Cohere, IBM. OpenAI-compatible APIs simplifying adoption.
vLLM Production Deployment: Building High-Throughput Inference Serving Architecture
Stripe cut inference costs 73% with vLLM. PagedAttention delivers 2-24x throughput gains. Complete production deployment architecture guide inside.
