zymtrace

Name: zymtrace
Brand: zymtrace

AI Native

Frictionless continuous profiling platform for GPU and CPU workloads. Debug faster. Optimize. Save.

Est 2024|Raised $12.2M

LinkedIn 1K|Website|FTEs 8|HQ Wilmington, DE

MarketsApplication Performance Monitoring (APM)

01Competitive Landscape

| Aspect | zymtrace | NVIDIA Nsight Systems/Compute | Datadog Continuous Profiler | |--------|----------|------------------------------|----------------------------| | Starting Price | Free Basic (CPU, limited machines); Pro/Enterprise: quote-based | Typically provided as part of NVIDIA developer tooling; availability and pricing vary | Public list pricing exists; total cost depends on module usage and scale | | Typical Use Case | Continuous, cluster-wide CPU and GPU profiling correlated in production; self-hosted deployments | Short, controlled profiling sessions and deep kernel/CUDA analysis in development environments | Always-on application profiling integrated within a broader SaaS observability suite | | Key Strength | Continuous cluster-wide CPU-to-GPU visibility and self-hosted deployment option | Deep GPU developer tooling for kernel-level analysis and controlled experiments | Integration with logs, metrics, traces, and mature enterprise packaging | | Key Weakness | Limited third-party review footprint; privileged eBPF deployment requirements; vendor-quoted GPU pricing | Not designed for long continuous production profiling at fleet scale | Cost complexity at large scale and SaaS data egress or governance concerns for some organizations |

zymtrace versus NVIDIA Nsight

The vendor contrasts continuous production profiling with Nsight's development-oriented tooling. A practical buyer approach is often to use both: Nsight for detailed kernel development and a continuous profiler for fleet-scale detection of intermittent stalls and CPU-side bottlenecks.

zymtrace versus suite observability vendors (Datadog as a proxy)

Datadog represents a broad platform; the profiled product is a specialist profiler and optimizer. Organizations already operating a broad observability suite may need to evaluate whether the specialist's GPU correlation and cluster-wide profiling provide incremental value.
If on-premises deployment and data residency control are required, the self-hosted option may be relevant compared to SaaS-first approaches.

Market share/adoption trends

No independent market-share data was found in accessible sources. Press coverage related to the company's recent funding activity indicates some market momentum.

01Competitive Landscape

Aspect	zymtrace	NVIDIA Nsight Systems/Compute	Datadog Continuous Profiler
Starting Price	Free Basic (CPU, limited machines); Pro/Enterprise: quote-based	Typically provided as part of NVIDIA developer tooling; availability and pricing vary	Public list pricing exists; total cost depends on module usage and scale
Typical Use Case	Continuous, cluster-wide CPU and GPU profiling correlated in production; self-hosted deployments	Short, controlled profiling sessions and deep kernel/CUDA analysis in development environments	Always-on application profiling integrated within a broader SaaS observability suite
Key Strength	Continuous cluster-wide CPU-to-GPU visibility and self-hosted deployment option	Deep GPU developer tooling for kernel-level analysis and controlled experiments	Integration with logs, metrics, traces, and mature enterprise packaging
Key Weakness	Limited third-party review footprint; privileged eBPF deployment requirements; vendor-quoted GPU pricing	Not designed for long continuous production profiling at fleet scale	Cost complexity at large scale and SaaS data egress or governance concerns for some organizations

zymtrace versus NVIDIA Nsight

The vendor contrasts continuous production profiling with Nsight's development-oriented tooling. A practical buyer approach is often to use both: Nsight for detailed kernel development and a continuous profiler for fleet-scale detection of intermittent stalls and CPU-side bottlenecks.

zymtrace versus suite observability vendors (Datadog as a proxy)

Datadog represents a broad platform; the profiled product is a specialist profiler and optimizer. Organizations already operating a broad observability suite may need to evaluate whether the specialist's GPU correlation and cluster-wide profiling provide incremental value.
If on-premises deployment and data residency control are required, the self-hosted option may be relevant compared to SaaS-first approaches.

Market share/adoption trends

No independent market-share data was found in accessible sources. Press coverage related to the company's recent funding activity indicates some market momentum.