#Profiling

Articles about Profiling — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with profiling. ← All posts

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Pratik Dhanave · ·5 min read

Profiling and the Optimization Workflow — Measure, Don't Guess

Everything in this series converges on one discipline: you cannot optimize what you haven't measured. GPU performance is unintuitive — the bottleneck is rarely where you'd guess — so the engineers who make inference fast are the ones who profile first, identify the actual limit, apply the one lever that moves it, and measure again. This closing post ties the series into a workflow you can actually run, and looks at where inference engineering is heading.

You can't optimize what you haven't measured. The optimization loop — baseline, profile, find the dominant limit, apply the matching lever, repeat — plus knowing when to stop, leaning on the ecosystem, and the durable mental model behind it all.

#GPU#Profiling#Performance#Inference

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.