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GPU kernel profiling and optimization workbenchTry the demo

For GPU and HPC developers profiling, debugging and optimizing kernels

Profile, optimize and review GPU kernels without leaving one workspace.

KernelBench is drafting Hazelmoor Signal Works' optimization report for the fused attention kernel on the H-class target, built from the profiling trace, the compiler output and the recorded benchmark baseline. Every speedup claim traces to a run; every tuning change is reviewable before it ships.

Built for you in days, not months

Run it for your own team, or offer it to your clients.

Nexibeo builds this as a custom AI implementation with its AI software factory, usually in days to a few weeks. Use it inside your business, or add it to what you offer your own clients.

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