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zymtrace • Optimize GPU & CPU Performance
https://zymtrace.com/Last activity: 13.03.2026
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zymtrace: Zero-instrumentation continuous profiling for CPU and GPU workloads, providing actionable insights to optimize performance, debug faster & reduce cloud costs
Location: United States
Total raised: $12.2M
Investors 1
| Date | Name | Website |
| 24.10.2025 | Mango Capi... | mangocap.c... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 12.03.2026 | Seed | $12.2M | Venture Gu... |
Mentions in press and media 5
| Date | Title | Description |
| 13.03.2026 | Zymtrace Powers AI Efficiency with $12.2M for Autonomous GPU Optimization | Zymtrace secured $12.2M to revolutionize AI infrastructure. The platform autonomously optimizes GPU performance. It tackles billions in wasted compute. Using eBPF, Zymtrace profiles AI workloads. It pinpoints bottlenecks, offering actionabl... |
| 12.03.2026 | Zymtrace Secures $12.2M to Recover Billions in Wasted GPU Spend Through Autonomous Optimization | , a distributed AI infrastructure optimization platform, announced that it has raised to date to help enterprises uncover hidden performance bottlenecks inside their GPU clusters. The funding includes a newly closed $8.5 million seed round ... |
| 11.03.2026 | Zymtrace Raises $12.2M in Pre-Seed and Seed Funding | Zymtrace, a Wilmington, DE-based developer of a distributed AI infrastructure optimization platform, raised $12.2M in total funding to date. The capital included a recently closed $8.5M seed round led by Venture Guides, with participation f... |
| 11.03.2026 | Zymtrace raises $12.2M to optimize AI workload performance across GPU infrastructure Send us a News Tip EXTRACT THE SIGNAL FROM THE NOISE Cookies | Artificial intelligence infrastructure optimization platform startup Zymtrace announced today that it has raised $12.2 million in funding, including a newly closed $8.5 million seed round, to develop its platform, expand enterprise deployme... |
| - | zymtrace | “zymtrace: Zero-instrumentation continuous profiling for CPU and GPU workloads, providing actionable insights to optimize performance, debug faster & reduce cloud costs” |