Audience
AI engineers, infrastructure teams, and developers who need a platform to profile and optimize CPU- and GPU-accelerated workloads in large-scale computing and machine learning systems
About zymtrace
zymtrace is a continuous profiling and observability platform designed to help engineers optimize the performance of modern computing workloads that run across both CPUs and GPUs. It provides deep system-level visibility into how applications, AI models, and infrastructure consume computing resources, allowing developers to identify inefficiencies and performance bottlenecks without modifying their code or restarting systems. Built with eBPF-based profiling technology, zymtrace collects performance data across the full execution stack, from high-level application code and runtime libraries down to the Linux kernel and GPU instructions, enabling a unified analysis of heterogeneous workloads. It correlates GPU activity with the CPU code paths that launch it, bridging a common gap in traditional observability tools that typically treat GPUs as black boxes and provide only surface-level metrics.
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