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Zymtrace

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What Zymtrace is

Zymtrace profiles CPU and GPU workloads to help identify bottlenecks in AI training and inference. Its whole-system CPU profiler supports languages including Python, Java, Go, Rust, C/C++, Node.js, Ruby, .NET, PHP, Perl, Zig, and Scala. GPU profiling links CPU and GPU execution while examining CUDA kernels, GPU instructions, and stall reasons. Monitoring covers GPU utilization, memory, power, temperature, SM efficiency and occupancy, Tensor Core utilization, and data transfer rates. The GPU profiling page lists vLLM, Ollama, llama.cpp, and SGLang as supported inference engines. Zymtrace is self-hosted, and the maker says data stays within the customer’s infrastructure; its air-gapped option performs processing and analysis locally. Each instance provides a REST API, and profiling data can be exposed through MCP for AI agents. It also supports OpenTelemetry resource attributes and export. The free Basic plan includes CPU profiling for up to five concurrent machines; GPU profiling is available as a trial. Zymtrace currently supports Linux, not Windows, due to its reliance on eBPF.

Who it suits

Zymtrace suits teams profiling AI workloads on Linux, especially those that need CPU and GPU detail or self-hosted deployment. Its listed languages and inference engines may be relevant to teams using those technologies.

What it does well

  • Profiles CPU and GPU workloads.
  • Supports a wide range of programming languages.
  • Monitors GPU utilization, memory, power, and temperature.
  • Self-hosted deployment keeps data within customer infrastructure.
  • Free Basic plan covers up to five concurrent machines.

What to know first

  • Currently limited to Linux machines.
  • Basic GPU profiling is available as a trial.
  • Continuous alerts are not supported.

Plans

PlanBilled and limitsPrice
BasicFree Forever · CPU profiling · up to 5 concurrent machines · GPU profiling trial available · community supportFree
ProPriced by machines & GPUs · CPU + GPU profiling · unlimited machines · air-gap installation support · dedicated managed hosting availableOn request
EnterpriseCustom · Everything in Pro · dedicated support · custom SLAs · capacity planning · fully managed deploymentOn request

As zymtrace.com lists them, read 5 Oct 2026. The maker's own page has the final word.

Verdict

Zymtrace combines whole-system CPU profiling with detailed GPU analysis and monitoring. Linux-only support and trial-limited GPU profiling on Basic are important constraints to consider.

Facts from Zymtrace's own pages

CPU profiling
Its whole-system profiler supports languages including Python, Java, Go, Rust, C/C++, Node.js, Ruby, .NET, PHP, Perl, Zig, and Scala. · zymtrace.com, 5 Oct 2026
Deployment
The pricing page says all plans are self-hosted and that no data leaves the customer’s infrastructure. · zymtrace.com, 5 Oct 2026
GPU monitoring
GPU monitoring covers metrics such as utilization, memory, power, temperature, SM efficiency, SM occupancy, Tensor Core utilization, and data transfer rates. · zymtrace.com, 5 Oct 2026
GPU profiling
The GPU profiler correlates CPU and GPU execution and analyzes CUDA kernels, GPU instructions, and stall reasons. · zymtrace.com, 5 Oct 2026
Headquarters
Wilmington, Delaware, United States · zymtrace.com, 28 Sept 2026
Inference engines
The GPU profiling page lists vLLM, Ollama, llama.cpp, and SGLang as supported inference engines. · zymtrace.com, 5 Oct 2026
Integrations
Zymtrace exposes profiling data through MCP for AI agents and provides a REST API in each instance. · docs.zymtrace.com, 5 Oct 2026
Observability
Zymtrace supports OpenTelemetry resource attributes and can export profiling data in the standard OpenTelemetry format. · zymtrace.com, 5 Oct 2026
Operating system
The maker says Zymtrace is currently limited to Linux machines because it relies heavily on eBPF. · zymtrace.com, 5 Oct 2026
Product limit
The maker says Windows is not currently supported because eBPF is not well supported there. · zymtrace.com, 5 Oct 2026
Purpose
Zymtrace profiles CPU and GPU workloads to identify performance bottlenecks and optimize AI training and inference. · zymtrace.com, 5 Oct 2026
Resource footprint
The homepage says the agent targets 1% CPU usage and less than 250 MB of RAM. · zymtrace.com, 5 Oct 2026
Security and data handling
The maker says all processing and analysis are performed locally in its self-hosted, air-gapped deployment option, with no data leaving the customer’s infrastructure. · zymtrace.com, 5 Oct 2026
Support
Basic includes community support; Enterprise lists dedicated Slack and Google Meet support and custom SLAs. · zymtrace.com, 5 Oct 2026

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