Trace shows which kernels cost you the most time and money. Search brings back the proven fix, with the chip manual page that backs it. Both run inside the Compute Optimization Engine, from firmware to kernels, on any chip.
Trace
Every kernel ranked by its share of compute time. You fix the top line first and see the gain in your own metric.
Core pinning and memory placement per kernel, per chip.
OpenBMC and Redfish power and thermal data next to every run.
Health checks find chips that return wrong or slow results.
Memory budgets per kernel, and a migration comparison before any chip move.
Search
An expert fix is paid for once and reused. Every answer cites the chip manual page.
Each proven fix is stored with the run that proved it. The next matching problem starts from the answer.
Answers point to the exact manual page for NVIDIA, AMD, Intel, Google TPU, AWS Trainium, Qualcomm and Apple chips.
When ROCm, CUDA, Neuron, PyTorch or a firmware release changes, Search shows which of your kernels it touches.
A problem found on one chip warns every customer on that chip before it reaches them.
Who uses it
Cost per accepted result, energy per result and the monthly value report.
Ranked kernels, interconnect topology, and the fix ready to merge.
Which customer kernels a new driver or firmware touches, before rollout.
Know which kernel costs you most, on any chip.