AI Agent Solves GPU Bottleneck in 30 Seconds Using Kernel Traces

This demonstrates AI assistants can now autonomously debug complex hardware performance issues by analyzing raw kernel-level traces, a task that traditionally requires hours of manual investigation. The capability to connect AI systems to low-level system data via MCP opens new possibilities for accelerating performance engineering workflows. It shows how Claude's analytical skills, combined with direct access to trace databases, can identify subtle hardware resource contention problems that standard profiling tools often miss.