Discover how shadow testing safeguards your LLM deployments by evaluating new models on live traffic without user risk. Learn key metrics, implementation steps, and why benchmarks aren't enough.
Serving large language models in production requires specialized hardware, optimized software, and smart architecture. Learn the real costs, GPU needs, and optimization strategies that separate successful deployments from costly failures.