#llmops
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LLMOps Tools on GitHub: The Open-Source Stack
A layer-by-layer map of the open-source LLMOps stack on GitHub, from serving and gateways to tracing, evaluation and guardrails, plus how to vet a repo.
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LLM GPU Cost Optimization Techniques That Move the Needle
Four LLM GPU cost optimization techniques that pay off: quantization, KV cache management, continuous batching, and parallelism, and when each fits.
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Self Hosting LLM vs API Cost: A TCO Breakdown for 2026
Self hosting LLM vs API cost, broken down: hardware, cloud GPU rental, engineering overhead, and the utilization trap that breaks most breakeven math.
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Prompt Versioning and Deployment: The Operational Workflow
Versioning prompts is the easy part. The hard parts are decoupling prompt releases from code deploys and keeping staging and production labels honest.
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LLMOps Best Practices: From Prototype to Production
LLMOps best practices that separate fragile demos from reliable production systems: prompt versioning, observability, evaluation and cost control.
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Token-Cost Observability: What You Measure vs What You Should
Most LLM apps track total spend and call it done. Per-feature cost, per-user attribution and anomaly bands all require deliberate instrumentation.