4 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.
Comprehensive analysis of open-source versus proprietary LLM paradigms, comparing performance, control, cost, transparency, and enterprise adoption factors. Hybrid approaches emerge as the optimal strategy for 2026.
Comprehensive analysis of open model performance on Mac Mini M4 32GB, identifying the most performant models for local inference, agent deployment, and cost optimization.