2 entries with this tag
Complete guide to deploying a production-grade LLM inference server using vLLM. Covers installation, Docker deployment, multi-GPU tensor parallelism, quantization, performance tuning, and OpenAI-compatible API integration.
Practical architectures for deploying open-source LLMs at scale. Covers local development, multi-GPU scaling, cloud-native deployment, managed services, and serverless approaches with performance benchmarks and TCO analysis.