Self-Hosting LLMs With vLLM — Running Open-Source Models in Production
Deploy open-source LLMs at scale with vLLM. Compare frameworks, optimize GPU memory, quantize models, and run cost-effective inference in production.
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Deploy open-source LLMs at scale with vLLM. Compare frameworks, optimize GPU memory, quantize models, and run cost-effective inference in production.
Build fast UX with LLM streaming using Server-Sent Events, handle backpressure correctly, measure TTFT/TBT, and avoid common pitfalls in production.
Extract reliable structured data from LLMs using JSON mode, Zod validation, and intelligent retry logic to eliminate parsing failures and hallucinations.
Master LLM token economics by implementing token counting, setting budgets, and optimizing costs across your AI infrastructure with tiktoken and practical middleware patterns.
Master load balancer algorithms for distributing traffic. Learn round-robin limitations, connection-aware routing, consistent hashing, and session affinity patterns.