LLMOps
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LLMOps Tools on GitHub: Repositories by Stack Layer
Find LLMOps tools on GitHub by serving, gateway, retrieval, prompts, and release layers, with official repositories and practical adoption checks.
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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: Private Hosting TCO
Estimate the cost to host a private LLM versus an API, including GPU utilization, retrieval, operating time, and clearly labeled break-even examples.
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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: LLM Token and GPU Economics
Track LLM token and GPU costs by feature, release, and completed task, with retry accounting, cache savings, rate cards, and idle-capacity allocation.