Observe
Connect kernel behavior, system telemetry, and execution timelines in one place.
About GPUFlight
GPUs are the most expensive and scarcest resource in modern AI. Yet many workloads leave real performance on the table, because how they actually run is hard to see and harder to act on. GPUFlight makes GPU execution visible, so teams get more from the hardware they already own.
Why it matters
Low occupancy, inefficient memory access, idle hardware, and unnecessary execution time quietly cap how much useful work each GPU delivers, and it is rarely obvious which one is the real bottleneck.
Closing that gap means the same GPU budget does more: lower cost per result, more headroom as you scale, and less energy spent for each unit of useful output. As GPU infrastructure grows, that efficiency is both a competitive advantage and a responsible use of a constrained resource.
Our mission
GPUFlight helps engineers see how GPU workloads actually execute, understand why performance changes, and improve the hardware they already have.
Connect kernel behavior, system telemetry, and execution timelines in one place.
Turn low-level GPU metrics into evidence engineers can investigate and learn from.
Find bottlenecks, validate changes, and produce more useful work with available GPUs.
Company
GPUFlight is developed and operated by Offleash Lab LLC, a Washington-based software company focused on GPU observability, performance optimization, and developer education.
Founder
Founder & Engineer
Myoungho is the founder and engineer behind GPUFlight. He is building tools that help developers understand GPU execution, diagnose performance bottlenecks, and optimize GPU workloads from development to production.
See it in action