Polar Signals Cloud

What it does

Discover opportunities to improve performance, reduce time to resolution, and lower infrastructure costs through Polar Signals Cloud.

Polar Signals Cloud is an always-on, zero-instrumentation continuous profiling for CPU, GPU, and Memory that helps improve performance, understand incidents, and lower infrastructure costs.

LLMs are great at writing code, but blind to how it runs in production. Give your agent line-level execution context. Traditional CUDA profilers are built for debugging, not live systems. Polar Signals enables production-safe GPU profiling with minimal overhead. Learn more Safe to run continuously in production with minimal performance impact. Per-kernel timing, CPU stack traces, and CUDA Graph support. No filesystem writes. No network overhead. Powered by CUPTI and eBPF. Using Natural Language tools like Claude Code, Cursor, or other LLMs enhances performance analysis. MCP lets Claude Code, Cursor, and other LLMs access real profiling data without manual chart review. AI connects…from polarsignals.com

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  Polar Signals Continuous Profiler – Systematic Performance Profiling2021 · polarsignals.com · ▲44

  Check out our new project to add some insight into OOM kill events for Go programs. Source code: https://github.com/parca-dev/oomprof/ Description of how it was put together: https://www.polarsignals.com/blog/posts/2025/08/13/oomprof

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  Near-realtime cloud maps for weather visualisation, 3D models and more2023 · github.com · ▲68

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  See the carbon impact of your cloud as you codeJan 2026 · dashboard.infracost.io · ▲67

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