AI Infrastructure
Multi-Model Management with LiteLLM: Unified APIs, Automatic Fallback & Load Balancing
Combine OpenAI, Anthropic, Gemini, Bedrock, and local models under a single standardized interface with automatic retry and rate-limit routing.
Eliminating Vendor Lock-in
Instead of learning proprietary SDKs for every provider, LiteLLM standardizes completions into OpenAI-compatible format, enabling transparent fallback across `claude-sonnet-5`, `gemini/gemini-3.7-flash`, and `ollama/deepseek-r1`.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Llama 4 MoE & DeepSeek-R1: 24GB GPU Hardware Limits, vLLM PagedAttention & think Filtering
Deploy DeepSeek-R1 distilled weights and evaluate Meta Llama 4 Scout/Maverick MoE hardware realities on single 24GB GPUs with vLLM and FastAPI.
DeepSeek-R1 & Open-Source Reasoning: Self-Hosting with Ollama, vLLM, and Enterprise GPU Deployment
Deploy DeepSeek-R1 and distilled open-weight reasoning models locally with vLLM or Ollama for zero-API-cost private reasoning engines and air-gapped data privacy.
LLM Evals & Synthetic Testing: Ragas, DeepEval, and CI/CD Quality Gates
Prevent regressions in production AI applications with automated evaluation frameworks, synthetic test datasets, and LLM-as-a-Judge pipelines.