LLMOps Report: LLM serving and infrastructure.
Guides to serving engines, GPU economics, private hosting, and retrieval infrastructure for production LLM applications.
Cost to Host Private LLM: Monthly GPU Math by Model Size
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Serving and infrastructure guides
Start with the tools map, then compare serving engines, hosting costs, and retrieval infrastructure. Use the estimator to explore your traffic assumptions.
- LLMOps tools on GitHub
Official repositories for the serving, retrieval, and release stack.
- vLLM vs TGI
Serving capabilities, latency budgets, and migration checks.
- Self hosting LLM vs API cost
Private LLM hosting costs, utilization, and break-even assumptions.
- Best vector database for RAG
Filtered retrieval, deployment options, and capacity planning.
- LLM serving frameworks compared
Throughput, TTFT, prefix caching, and hardware fit across engines.
- LLM observability tools for serving
Serving latency, queue pressure, token costs, and GPU signal coverage.
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LLM Cost & Latency Estimator
Monthly spend, p50/p95 latency and cost per 1,000 requests, computed in your browser.
Independent, specialist, and free to read
LLMOps Report publishes focused, sourced guides on a single topic. No paywall, no account, no ad tracking.
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