Nano vs PantheonGPU

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

Open source GPU health testing, diagnostics, and performance validation for NVIDIA CUDA and AMD ROCm AI infrastructure. Read the source, run it yourself.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.

About PantheonGPU

Open source GPU health testing, diagnostics, and performance validation for NVIDIA CUDA and AMD ROCm AI infrastructure. Read the source, run it yourself. It is open source, so you can read exactly what a workload does before running it on your hardware. Know whether your GPU is actually healthy, not just online. Normal temperatures and utilization do not prove that a GPU is performing correctly. A system can look healthy in telemetry while it underperforms, becomes unstable, or exposes a configuration problem under a specific workload.